Author: Fabian Tinjaca

Most guides treat AI Overviews like a new game with secret rules. The data says otherwise: Google links at least one top-10 domain in 92.36% of AI Overviews, according to SE Ranking research.

You don’t need tricks. You need three layers: a page that ranks, answers an AI can lift, and a technical layer most sites skip. Here’s how to build all three across every client site you manage.

What are Google AI Overviews?

AI Overviews are AI-generated summaries that appear at the top of Google results, answering the query directly and citing a handful of source pages. Google builds them with its Gemini models and shows them mainly on informational and long-tail queries, almost always alongside other SERP features.

They change the click math. More searches end without a click, but a citation puts your brand at the top of the page, and Google reports that clicks from results pages with AI Overviews are higher quality, with users spending more time on the site (Google Search Central).

They also rarely travel alone. AI Overviews appear next to at least one other SERP feature 99.25% of the time, with People Also Ask present in 98.54% of cases (SE Ranking). If you report to clients on generative engine optimization, that context matters: the AIO is one feature in a crowded page, not the whole game.

Caption: An AI Overview cites three sources above the first organic result: the citation slot sits higher than position 1.

How Google picks the sources it cites

Google’s official position is short: a page only needs to be indexed and eligible to appear in Search with a snippet. Per Google Search Central, “there are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary.”

The controls that do exist are the standard snippet controls: nosnippet, data-nosnippet, max-snippet, and noindex. Those limit what Google can show from your pages, in AI Overviews and everywhere else.

One thing that does not exist: an AI Overview submission process. If a vendor offers to “submit” a client’s site to AI Overviews, that service is fiction. Send them Google’s documentation and keep your budget.

The uncomfortable truth: you still have to rank

The anchor stat: 92.36% of AI Overviews link to at least one domain ranking in the organic top 10, and 63.19% of the time they pull from pages in the top 10 for that query (SE Ranking).

The 2026 nuance: Ahrefs analyzed 863K SERPs in March 2026 and found that only 37.9% of the individual URLs cited in AI Overviews rank in the top 10 for that exact query, down from roughly 76% a year earlier (Ahrefs). The cause is query fan-out: Google splits the search into related sub-queries and cites pages that rank for those. Ranking still matters, but Google now rewards covering the whole topic, not just the head keyword.

Our position: if your page doesn’t rank in the top 10-20 for the topic, optimizing “for AI” is starting the house from the roof. First improve your site’s SEO and fix your SEO issues. The SEO retainer you already run for clients is still 80% of the AI Overview game.

How to show up in AI Overviews, step by step

Here is the full sequence. Each step gets its own section below.

1. Rank the page in Google’s top 10 for the query.
2. Answer the question in the first one or two sentences.
3. Structure the content with clear headings, lists, and tables.
4. Add relevant schema markup to remove ambiguity.
5. Publish an llms.txt file at your domain root.
6. Build author bios and brand mentions that AI systems recognize.
7. Track your citations and reformat the pages that miss.

Steps 1 through 3 are content work. Steps 4 and 5 are the machine-readability layer. Steps 6 and 7 are what keep citations coming after the first win.

Write answers an AI can lift

AI Overviews don’t cite pages. They cite fragments: the two sentences, the list, or the table that answers a sub-question cleanly.

Your job is to leave liftable fragments on every page. For an agency running 10+ client sites, this isn’t a page-by-page tweak. It’s an editorial standard you apply to every new piece and retrofit onto the pages that already rank.

Answer the question in the first two sentences

The pattern is answer-first: state the answer in the first one or two sentences under the heading, then expand. Definition sections that follow a “What is X” heading with an immediate answer are among the most-cited fragments in AI Overviews.

Compare the two openings for a client’s service page section titled “How much does lawn aeration cost?”:

Liftable: “Lawn aeration costs $75 to $200 for most residential yards. Price scales with lot size and soil condition.”

Not liftable: “Every lawn is different. Before we talk numbers, it’s worth understanding what aeration does for your soil, and why the timing matters…”

The second version is how most service pages are written. Three paragraphs of context, then the answer. An AI summarizer skips it and lifts the competitor’s version instead.

Structure content for extraction: headings, lists, tables

Formatting is extraction engineering. The standard to impose across every client site:

• Paragraphs of 2-3 sentences, one idea each
• A clean H2/H3 hierarchy that mirrors real sub-questions
• Numbered lists for steps and processes
• Tables for anything with two or more attributes
• A key takeaways section on long pieces

This is the same formatting that wins featured snippets, and the overlap is not a coincidence. AI Overviews appear next to People Also Ask 98.54% of the time (SE Ranking), so optimizing for PAA and snippets is optimizing for AI Overviews with the same hour of work.

Target long-tail, question-based queries

Long queries are AI Overview territory. Searches of four or more words trigger an AI Overview in 60.85% of cases (SE Ranking), and question queries are their natural habitat.

The tactic: mine People Also Ask and the real questions in each client’s niche, then give each question its own H2 or H3 with a direct answer underneath. Match the phrasing to the search intent behind the question, not to the keyword tool’s phrasing. An e-commerce client’s questions (“does X fit Y”) look nothing like a local service client’s (“how much does X cost near me”), so the mining is per niche, not per template.

Does schema markup get you into AI Overviews?

Most of the pages ranking for this question say yes, and most of them sell schema tools. The honest answer has more nuance: schema is not a ticket into AI Overviews, but it is the machine-readability layer that removes ambiguity about what your content is.

We build a schema plugin, so read the evidence yourself before taking our word for it. Both directions of it.

What the data actually says

The experimental evidence is sobering. A 2026 Ahrefs test tracked 1,885 pages that added JSON-LD between August 2025 and March 2026 against 4,000 control pages, and found no meaningful citation lift on any platform: AI Overviews moved -4.6%, AI Mode +2.4%, ChatGPT +2.2% (via Search Engine Journal).

The correlational evidence points the other way. Roughly 71% of pages cited by ChatGPT and 65% of pages cited by Google AI Mode carry structured data (Stackmatix), and the same Ahrefs analysis found across 6 million URLs that AI-cited pages are about three times more likely to include JSON-LD.

Study	What it measured	What it found	What it means
Ahrefs controlled test (2026)	Citation change after adding JSON-LD	No lift vs. control group	Schema alone doesn’t earn citations
Ahrefs correlation (6M URLs)	JSON-LD presence on AI-cited pages	Cited pages ~3x more likely to carry schema	Well-run sites tend to have schema
Stackmatix (2026)	Structured data on cited pages	~71% (ChatGPT), ~65% (AI Mode)	Machine-readability travels with citations
Google Search Central docs	Requirements for AI features	No special markup required	Schema is for clarity, not admission

Correlation is not causation. Sites that implement schema also publish stronger content, earn more links, and keep their technical setup clean. Schema won’t substitute for ranking or for liftable fragments. What it does is remove ambiguity about entities: who the author is, what the product is, which question each FAQ block answers. That clarity powers rich results and supports E-E-A-T, which is why what structured data is and how to use schema markup still belong in your technical checklist.

Our position: apply schema for the complete machine-readability layer, not for a promised citation.

Applying schema across a WordPress site without writing code

Auditing schema by hand across 10 client sites is the kind of work that eats a retainer. This is the workflow we built Schemafy for.

Open WP Admin → Schemafy → Auto Schema Generator and click Scan Site. The scan analyzes every page and detects schema opportunities per page. Filter by Post Type (Post, Page, Product) and Status (Needs Schema, Partially Covered, Fully Covered), then review the suggested schemas and match percentages page by page. Prioritize Article with a real author, FAQPage, Organization, and Product. No JSON-LD to write.

For complex or custom types, the AI Schema Generator builds the JSON-LD from the page content and shows a validation status before you save.

The pitch for agency operators is repeatability: the same scan, the same filters, the same priorities, on every one of your 10+ client sites.

Caption: Auto Schema Generator flags 37 product pages missing schema after one Scan Site pass, with the suggested type per page.

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Make your site readable to AI systems

Beyond schema, there are two technical pieces specific to AI search that the top-ranking guides barely develop: an llms.txt file and a crawler check. Both are cheap, fast, and easy to package into a technical retainer.

Add an llms.txt file

An llms.txt file is a markdown file at your domain root that summarizes what your site is and points AI systems to your most important content.

Honest status first: llms.txt is an emerging proposal, not a confirmed signal. Google states plainly that “you don’t need to create new machine readable files, AI text files, or markup” to appear in its AI features (Google Search Central). Publish one anyway, for three reasons: it costs minutes, other answer engines and LLM crawlers can read it today, and writing it forces you to define each site’s core pages.

The manual workflow: write the summary and the key URLs in markdown, save the file as llms.txt, and upload it to the domain root through your host’s file manager or FTP. Build one template and reuse it across clients. Budget 15 minutes per site.

Check which AI crawlers actually visit your site

You can’t appear in AI answers if the crawlers behind them never read your pages. The check is manual but simple: open your server logs or your host’s raw access stats (AWStats or equivalent) and search for the AI user agents and their visit frequency. If the logs show bots burning visits on thin pages, optimize crawl budget before anything else.

Crawler	Operator	What it feeds
Googlebot	Google	The Search index, including AI Overviews
Google-Extended	Google	Gemini training and grounding (a robots.txt token, not a separate crawler)
GPTBot	OpenAI	ChatGPT training and search
ClaudeBot	Anthropic	Claude
PerplexityBot	Perplexity	Perplexity answers

Then read each client’s robots.txt. Sites inherited from a previous developer often block AI bots by accident, and unblocking one is a reportable quick win. Know the trade-off before you touch Google-Extended: blocking it limits Gemini training and grounding in some of Google’s other systems, but it does not remove you from AI Overviews in Search. That’s controlled by Googlebot access plus the snippet rules (Google Search Central). If a page is stuck earlier in the pipeline, start with crawling vs indexing instead.

Build the authority signals AI Overviews reward

Every section so far happens on the page. The last layer mostly happens off it.

Real authors. Replace “admin” bylines with a named author, a bio, and credentials on every client site. Person schema connects that author entity to the content, and it’s one of the types Schemafy generates.

First-hand data. Original numbers, real examples, and client-anonymized results are the fragments AI systems can’t find in the other nine posts on the SERP. One proprietary stat outworks a page of paraphrased advice.

Brand mentions. In Ahrefs’ analysis of 75,000 brands, brand web mentions correlate with AI Overview visibility at 0.664, against 0.218 for backlinks, nearly three times stronger (Ahrefs). Unlinked mentions now do work that link builders used to charge for, which changes how you prioritize off-page SEO signals.

Freshness. More than half of AI Overview citations come from content published in the last two years: 28.76% from 2025 and 26.85% from 2024 (SE Ranking). A refresh calendar for each client’s top pages is now a defensible retainer line.

How to track whether you’re showing up

Start with the honest limitation: Search Console does not separate AI Overview traffic. Impressions and clicks from AI features are counted inside the regular “Web” search type in the Performance report (Google Search Central), so there is no filter to pull.

What works instead:

• Run manual checks on the client keywords that trigger AI Overviews, and log who gets cited.
• Use dedicated generative engine optimization tools or answer engine optimization tools to track citations at scale instead of screenshotting SERPs.
• Watch CTR on pages ranking top 10 for AIO queries. Falling CTR with stable position is the signature of an AI Overview absorbing clicks, and it’s the honest way to explain a traffic dip to a client without panic.

Those three feeds answer the only question that matters operationally: which pages to reformat first. The top-10 pages losing CTR are next sprint’s work list.

Caption: Stable position, falling CTR: the page still ranks 4-5 but the AI Overview above it is taking the clicks.

Final thoughts

Showing up in AI Overviews is not a new discipline. It’s ranking, plus fragments an AI can lift, plus an honest technical layer of schema, llms.txt, and crawler access. No secret rules, no submission form.

The concrete next step: for each client, pull the five pages already ranking in the top 10 for queries that trigger an AI Overview. Reformat them answer-first, then run a Schemafy scan to close the schema gaps the audit finds. That short list is where citations come from fastest.

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Frequently asked questions

How do I get my website to show up in AI Overviews?

Rank the page in Google’s top 10 for the query, answer the question directly in the first sentences, and structure the content with clear headings and lists. Google links at least one top-10 domain in over 92% of AI Overviews, so traditional SEO remains the foundation. Schema markup and llms.txt add machine-readability on top.

Does schema markup help you appear in AI Overviews?

Not on its own. A 2026 Ahrefs test found no citation lift from adding schema alone, yet most pages cited by AI systems do carry structured data. Schema removes ambiguity about your content and authors and powers rich results, so treat it as a readability layer, not a shortcut.

What triggers an AI Overview in Google?

Google shows AI Overviews when it predicts a generated summary will help, most often on informational, question-style, and long-tail queries. Searches of four or more words trigger them in roughly 61% of cases. Transactional and simple navigational queries trigger them far less often.

How long does it take to show up in AI Overviews?

There is no fixed timeline. If a page already ranks in the top 10, formatting changes like answer-first paragraphs can get it cited once Google recrawls and processes the page. If the page does not rank yet, expect the normal SEO timeline of months before AI Overview visibility follows.

Can I see AI Overview traffic in Google Search Console?

Not separately. Google counts AI Overview impressions and clicks inside the regular Web search data, with no dedicated filter. To estimate impact, track your keywords that trigger AI Overviews, monitor CTR changes on stable rankings, and use an AI visibility tool to log where your pages get cited.

Can I opt out of AI Overviews?

You cannot opt out of AI Overviews appearing on queries, but you can control how your content is used. The nosnippet and max-snippet rules limit or block what Google shows from your pages, and blocking Google-Extended affects Gemini training rather than AI Overviews in Search.

Most guides treat a Google Merchant Center account as a form you fill once. Create it, upload a feed, done in 20 minutes.

The account is the easy part. Keeping products approved is the real work, because Google crawls your product pages and checks that your feed, your landing page, and your structured data all say the same thing. That check is where most new WooCommerce stores fail. This guide covers both halves.

What is a Google Merchant Center account?

A Google Merchant Center account is a free account where you upload and manage the product data Google shows across Search, Shopping, Maps, and YouTube. It is the data source behind both free product listings and paid Shopping ads, not an advertising channel by itself.

Think of it as the layer between your store and every Google surface that displays products. Your WooCommerce catalog feeds Merchant Center, and Merchant Center feeds Google. It is also where Google checks that your prices, availability, and images match what shoppers actually see on your site. Google’s own Get started with Merchant Center doc covers the basics; this guide covers the WooCommerce specifics it skips.

Is Google Merchant Center free?

Yes. Creating the account, uploading products, and appearing in free listings costs $0, per Google’s documentation.

You only pay if you run Shopping ads, and that billing happens in a linked Google Ads account, not in Merchant Center. The two get confused constantly: Merchant Center holds your product data, Google Ads spends your budget. You can use the first without ever touching the second.

Free listings vs Shopping ads: what the account actually gets you

One account powers two very different distribution channels. Here is how they compare:

	Free listings	Shopping ads
Where they appear	Shopping tab, Search, Maps, YouTube	Shopping tab, Search results, partner sites
Cost	$0	Pay-per-click budget
Feed requirements	Same product data spec	Same product data spec
Google Ads account	Not required	Required (linked)

For a WooCommerce store with 100 to 1,000 products, free listings alone justify the account. Your products become eligible to appear in the Shopping tab with zero ad spend, and you can add paid campaigns later for the products that earn impressions. If you manage stores for clients, this is also the cleanest pitch for setting up Merchant Center on day one, before there is any ad budget to argue about.

What you need before creating your account

Have these five things ready before you start. Missing any of them causes rejections later:

• A Google account (one Merchant Center account per Google account)
• An active website with product pages shoppers can buy from online
• A visible returns policy and contact information
• A working checkout with SSL
• Product data on the site that matches what you plan to submit

One warning from Google’s setup documentation deserves bold type: the country you select during account setup cannot be changed later. If you sell across markets, or you are setting up accounts for clients in different countries, choose deliberately. Fixing a wrong country means creating a new account from scratch.

How to create a Google Merchant Center account, step by step

The four steps below take roughly 20 minutes in the current interface (Merchant Center Next). If you run an agency, budget that 20 minutes per client store: the process repeats identically for every domain.

Caption: Merchant Center Next onboarding asks for business details first. The name you enter here appears on your listings.

Step 1: Sign in and add your business details

Go to merchants.google.com and sign in with the Google account that should own the store’s data. One Google account can create one Merchant Center account, per Google’s documentation, so agencies should use the client’s account rather than their own. You will enter a business name, country, and time zone.

The business name is not cosmetic. It appears on your listings, and Google cross-references it against your website. Use your brand name exactly as it appears on your site. A store called “Maple & Main” on the site and “MM Retail LLC” in Merchant Center reads as an inconsistency, and inconsistencies feed the misrepresentation checks covered later in this guide.

Step 2: Verify and claim your website

Verification proves you control the domain. Google’s Configure your accounts doc lists four methods: an HTML tag added to your homepage, Google Tag or Google Analytics if already installed, Google Search Console, or an HTML file upload.

For WordPress stores, Search Console is the shortcut. If your site is already verified there, Merchant Center picks up the verification with one click and nothing new touches your theme. Otherwise, the HTML tag goes in your site’s head section.

Two details trip people up. First, verifying and claiming are separate actions: verification proves control, claiming binds the domain to this specific Merchant Center account. Complete both. Second, only one account can claim a domain at a time, which matters the moment an agency and a client both create accounts.

Step 3: Configure shipping, returns, and tax

These are the settings that silently block listings when they are missing or wrong. Configure shipping with the rates you actually charge, not optimistic estimates. Add your return policy and link it to the policy page on your site. United States sellers also configure tax settings here.

Google compares the shipping cost a shopper sees at your checkout with the cost you declared in Merchant Center, as part of its landing page requirements. A $4.99 declared rate against a $7.99 checkout rate is a mismatch, and mismatches become disapprovals. When in doubt, declare the higher rate.

Step 4: Add your WooCommerce products

This is where the generic guides go Shopify-first and leave WooCommerce owners guessing. You have three ways to get products into Merchant Center:

1. The official Google for WooCommerce extension. It syncs your catalog through the Content API, and product edits trigger an automatic re-sync, so price changes flow to Google without manual feed uploads.
2. A file or Google Sheets feed built to the product data specification, maintained by hand or by a feed plugin.
3. Manual entry in the Merchant Center interface, viable only for catalogs under a couple dozen products.

For a store with 100 to 1,000 products, use the extension. Then audit the attributes Google requires before you sync: id, title, description, link, image_link, price, availability, brand, and GTIN or MPN. The extension maps most of these from WooCommerce fields automatically, but only if those fields are filled. Empty brand and GTIN fields are the single most common gap, and they matter enough to get their own section below.

How Google verifies your product data (and where stores fail)

Submitting a feed is not the finish line. After you sync, Google crawls your product landing pages and compares what it finds against what you submitted. Price, availability, images, all of it. If you want the background on how that crawling works, we cover it in how Google crawls your pages. Large catalogs should also make sure those recrawls aren’t wasting crawl budget on duplicate or filtered URLs.

This creates a triangle that has to stay consistent: the feed, the visible page, and the page’s structured data. Most disapprovals for new stores trace back to one corner of that triangle drifting from the other two.

Caption: Google checks all three corners. A price change that reaches one corner but not the other two becomes a disapproval.

Feed, landing page, and Product schema must tell the same story

Google does not only read your page visually. Its structured data documentation for Merchant Center states that markup must be present in the HTML returned by the server, cannot be generated by JavaScript after the page loads, and must match the values shown to the user. Google recommends JSON-LD and uses schema.org markup to read price, availability, and product identifiers directly from your pages.

The technical requirements are specific. Your product page should carry one Offer, or, if it lists several, each offer needs a SKU or GTIN that matches the feed. The Offer itself must include price, priceCurrency, and availability. If you are new to this layer, start with what structured data is. You can also build a valid Product block by hand with a free schema markup generator.

This is where a schema plugin earns its place in an e-commerce stack. A plugin like Schemafy generates the Product schema with its offers by reading price, stock, and ratings directly from your WooCommerce fields, so the markup updates when the product updates and never tells Google a different story than your feed. You can monitor how Google reads that markup in Search Console’s Merchant Listings report.

GTIN, MPN, and Brand: the identifiers that gate your listings

Three identifiers decide how well Google matches your products. GTIN (the global barcode number), MPN (the manufacturer’s part number), and Brand. The rule from Google’s supported attributes documentation: submit the GTIN if the product has one; if it does not, submit MPN plus Brand as the fallback.

Skip them and you pay three times. Matching gets worse, so your products land next to the wrong competitors. You lose eligibility for enriched listings. And in strict categories, missing identifiers become outright disapprovals.

The WooCommerce-specific failure is quieter: WooCommerce has shipped a native “GTIN, UPC, EAN, or ISBN” field on the product Inventory tab since version 9.2, supported by the Google for WooCommerce extension, for both simple products and variations. Most stores never fill it. Those same fields are what your Product schema should expose, and Schemafy maps them into the markup without manual editing. For the broader context on markup strategy, see our schema markup guide.

Common Merchant Center account problems and how to fix them

Three problems cover most of what goes wrong with a new account: item disapprovals, misrepresentation suspensions, and lost website claims. Each has a distinct symptom, cause, and fix. The debugging mindset is the same one you would use to fix common SEO issues: find the mismatch, correct the source, request re-review.

Caption: Products > All products is the first place to look. Disapproved items list the specific policy reason when clicked.

Item disapprovals: price and availability mismatch

Symptom: products flip to “Disapproved” in Products > All products, usually citing a price or availability mismatch. Per Google’s product status documentation, reviews take 3 to 5 business days for Shopping ads and can take weeks for free listings, so each disapproval-fix cycle is expensive.

Cause: in WooCommerce stores, the usual suspect is a page that no longer matches the feed. A cache or CDN serving yesterday’s price. A sale that started in WooCommerce but has not reached the crawled page. Variations whose prices differ from what the schema reports.

Fix: let the extension handle feed sync (it re-syncs on product edits automatically), purge your cache every time prices change, and run the affected URL through Google’s Rich Results Test to confirm the schema on the live page shows the same price and availability as the feed.

Misrepresentation suspensions

This is the account-level suspension that scares store owners most, partly because Google explains it least.

Cause: Google cannot verify the business is what it claims. Common triggers are missing contact information, missing or thin policy pages, a new domain with no external signals, and inconsistencies between feed, site, and checkout. Google’s guidance on keeping products approved points repeatedly at data consistency and transparency.

Fix: complete your business identity in Merchant Center, make contact details and policies visible on the site, and align your branding across feed, storefront, and checkout. Then request review and wait it out. Be realistic: reviews are slow, repeated failed reviews make things worse, and nobody can honestly promise fast reinstatement. Agencies onboarding brand-new client domains should set that expectation before the first sync, because new domains with no history trip these checks most often.

Website claim lost or verification failed

Symptom: Merchant Center reports the website is no longer verified or claimed, and listings stop.

Cause: the HTML verification tag was deleted during a redesign or theme change, a redirect chain broke the homepage check, or another Merchant Center account claimed the domain.

Fix: re-verify through Search Console, which survives theme changes because it is tied to the property rather than a tag in your template. If another account holds the claim, resolve ownership before fighting Google about it. For agencies this is a contract question as much as a technical one: decide up front whether the agency’s account or the client’s account owns the claim, and document it.

What changed in Merchant Center in 2026

The product data spec gets an annual update, and the 2026 round, published by Google, has three changes worth acting on.

Image quality became enforceable policy. The minimum resolution for image_link and additional_image_link rose to 500×500 pixels across all categories, with warnings running since April 14, 2026 and enforcement starting January 31, 2027. Audit your thumbnails now, before warnings become disapprovals.

Video became a real feed asset. Since June 30,2026, videos submitted through video_link are eligible to serve, and Google validates them for policy and quality. A failed video blocks the video, not the offer.

Shipping got product-level controls, including a handling cutoff time and a minimum order value attribute.

The direction is consistent: Google keeps tightening how product data is validated while Shopping surfaces expand into AI experiences. Consistent, machine-readable product data stops being a nice-to-have and becomes the entry ticket.

Final thoughts

Creating a Google Merchant Center account takes 20 minutes. What keeps your products live afterward is consistency: the feed, the landing page, and the Product schema telling Google the same price, the same stock, the same brand, every day.

If you are starting today, the order matters. Create the account, verify through Search Console, connect the Google for WooCommerce extension, and fill in GTIN and Brand on your products before you sync anything. Stores that do the identifier work first skip most of the disapproval cycle entirely. If you manage multiple client stores, turn that order into your standard onboarding checklist, because every shortcut taken during setup resurfaces later as a policy flag.

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Frequently asked questions

What is a Google Merchant Center account?

A Google Merchant Center account is a free account where you upload and manage the product data Google shows across Search, Shopping, Maps, and YouTube. It feeds both free product listings and paid Shopping ads, and it is where Google checks that your prices, availability, and images match your website.

Is a Google Merchant Center account free?

Yes. Creating the account, uploading products, and appearing in free listings cost nothing. You only pay when you run Shopping ads through a linked Google Ads account. For many WooCommerce stores, free listings alone justify setting up Merchant Center even with no ad budget.

Do I need a website to use Google Merchant Center?

Yes, in practice. Google requires an active website with product pages you verify and claim during setup, and it crawls those pages to confirm your feed data matches. Your site also needs visible contact information, a returns policy, and a secure checkout to stay in good standing.

Do I need Google Ads to use Merchant Center?

No. Free product listings work through Merchant Center alone. You only need a linked Google Ads account if you want to run paid Shopping campaigns. Many stores start with free listings, measure which products get impressions, and add paid campaigns later for the winners.

How long does Merchant Center verification take?

Website verification is usually instant if you use Google Search Console or a tag already on your site. Product review takes 3 to 5 business days for Shopping ads and can take a few weeks for free listings, and account-level reviews such as a misrepresentation check can take longer still.

Can I change my Merchant Center account country later?

No. The country you select during account setup cannot be changed afterward, so choose carefully if you sell across markets. You can add additional target countries for your feeds, but the account’s base country is permanent; changing it means creating a new account.

Five numbers written down before any changes are made. That snapshot is what turns the traffic went up into this change worked.

You have probably read five different lists of SEO tips. The problem was never the tips. It was that nobody told you what order to do them in.

This guide on how to improve SEO on your website is sequenced by dependency, not popularity. Publishing new content does nothing if Google cannot index the site.

In 2026 that sequence ends somewhere new: not just ranking, but getting cited by AI systems. A copyable checklist waits at the end.

How to Improve SEO on a Website (Short Answer)

To improve SEO on a website: fix crawling and indexing issues, match each page to search intent, optimize titles, headings and internal links, refresh existing content, add schema markup, earn authority signals, and track results in Search Console. Work in that order, because later steps depend on earlier ones.

1. Get an SEO baseline before you change anything
2. Fix your technical SEO foundation
3. Match every page to search intent
4. Tighten your on-page SEO
5. Update and consolidate your existing SEO content
6. Target low-competition keywords and build topic clusters
7. Strengthen your internal linking for SEO
8. Add schema markup so search engines and AI can read your pages
9. Win featured snippets and AI Overview citations
10. Build SEO authority off your site
11. Make E-E-A-T visible on the page
12. Track the SEO metrics that tell you it’s working

Each step assumes the one before it is done. Skipping ahead is how sites end up with beautifully optimized pages that Google never indexed.

Step 1: Get an SEO Baseline Before You Change Anything

Before you touch a single title tag, write down five numbers:

• Clicks over the last 28 days (Search Console)
• Impressions over the last 28 days (Search Console)
• Average position across the whole property
• Pages indexed versus pages not indexed
• Core Web Vitals status: how many URLs are Good, Needs Improvement, and Poor

This takes about fifteen minutes and it saves months of guessing.

Without a snapshot you cannot prove a gain was yours, and you cannot tell a drop you caused from a drop that came with a core update. When a client asks why traffic fell in week six, “here is what the site looked like in week one” is the only answer that holds up.

Everything you need is free: Google Search Console, Google Analytics 4, and PageSpeed Insights. Save the five numbers in a dated row in a spreadsheet. You will compare against that same row in step 12.

Step 2: Fix Your Technical SEO Foundation

The best page on the internet does not rank if Google cannot crawl it, index it, or load it. Technical SEO is not the part that wins you rankings. It is the part that makes every other step possible.

Three checks handle most of it: what Google has actually indexed, how fast the site loads, and whether duplicate URLs are splitting your signals.

Check What Google Actually Has Indexed

Open Search Console and go to Indexing > Pages. The first number to read is not clicks. It is indexed versus not indexed.

Having excluded pages is normal. Not knowing why is the problem. Open each exclusion reason and match it to an action.

Exclusion reason	What it means	What to do
Crawled, currently not indexed	Google saw the page and chose not to index it	Deepen the content or fix the intent match, or consolidate it into a stronger page
Discovered, currently not indexed	Google knows the URL exists but has not crawled it	Add internal links and reduce how many clicks it sits from the home page
Duplicate without user-selected canonical	Equivalent versions exist and Google picked one for you	Add a self-referencing canonical tag (next section)
Excluded by ‘noindex’ tag	A noindex directive is on the page	Confirm it is intentional; if not, remove it
Redirect error	The redirect chain fails or loops	Fix the chain and leave a single hop
Blocked by robots.txt	A robots.txt rule stops the crawl	Review the rules and unblock anything Google needs to render the page

Two housekeeping tasks close this out. Submit your XML sitemap in Search Console so Google has a clean list of the URLs you care about. Then open robots.txt and confirm it is not blocking CSS or JavaScript, because Google renders pages the way a browser does. This is the same diagnostic order Semrush recommends before touching content.

The exclusion reasons matter more than the totals. Each one maps to a different fix.

Improve Page Speed and Core Web Vitals

Three metrics carry the weight, and each one is simpler than its acronym suggests. LCP measures how long the main element takes to appear. INP measures how long the page takes to respond when someone interacts with it. CLS measures how much the layout jumps around while loading.

Fix them in this order, because that is roughly the order of impact:

1. Compress images and serve them in WebP with lazy loading.
2. Delete plugins you are not actively using.
3. Turn on caching.
4. Minify CSS and JavaScript.
5. Put a CDN in front of the site.
6. Check how heavy your WordPress theme is before you blame anything else.

Run PageSpeed Insights on the mobile tab, not desktop. Google indexes the mobile version of your site first, so the desktop score is the one that does not count.

One honest note, because most guides skip it. Speed is a tiebreaker, not a multiplier. Fixing Core Web Vitals will not move you ten positions on its own.

What it does do is stop you losing to an equally good page that loads faster, and stop visitors leaving before they read anything. Both are worth having. Neither is a ranking strategy.

Clean Up Duplicates With Canonical Tags

The same content is usually reachable at more URLs than you think. With and without a trailing slash. With UTM parameters attached from a paid campaign. Across paginated versions. On http and https.

Google sees each variation as a candidate and picks one. It does not always pick the one you wanted.

The fix is one line in the head of each page:

<link rel="canonical" href="https://example.com/your-page/" />

That is a self-referencing canonical: the page names itself as the version to index. For the full syntax and the CMS-specific steps, see how to add a canonical tag.

Two things to know. A canonical is a signal, not a command, so Google can override it. And you can check whether it did: if Search Console reports “Duplicate, Google chose different canonical than user” for a URL, your tag was read and ignored, which usually means the two pages are more similar than you assumed.

Step 3: Match Every Page to Search Intent

The most common reason an optimized page does not rank has nothing to do with optimization. The page answers a different question than the one the search results reward.

There are four intents behind any query:

• Informational: the searcher wants to understand something. “what is schema markup”
• Navigational: the searcher wants a specific site or page. “search console login”
• Commercial: the searcher is comparing options before buying. “best crm software”
• Transactional: the searcher is ready to act. “buy standing desk”

Diagnosing intent takes two minutes and no tools. Search your keyword in an incognito window and look at what format dominates the top ten: a long guide, a listicle, a product page, a comparison, a video. That format is Google telling you what it has already decided the query deserves.

Then match it before a single word gets written.

“Best crm software” is the clearest example. The intent is commercial, and every result on page one is a comparison of multiple tools. A product landing page for one CRM will not rank there no matter how well it is written, because it answers a question nobody asked. If you want the full breakdown of the four types of search intent with more examples, that is covered separately.

For anyone briefing writers, this check belongs before the brief, not after the draft. Format decisions made after the writing are expensive.

Step 4: Tighten Your On-Page SEO

On-page is the only group of signals you control completely, and it is the fastest to fix. No third party has to agree, no algorithm has to recrawl a link graph.

Three areas cover almost all of it: what shows in the search result, how the page is structured, and how its URLs and images are named.

Title Tags and Meta Descriptions

The title tag rules are short. Keep it to 60 characters or fewer so it does not get truncated. Put the keyword near the front. Make it unique across the site.

And write it for the person deciding whether to click, not for the crawler.

Meta descriptions follow the same logic at 155 characters or fewer: state the benefit, then give a reason to click.

Here is the nuance almost nobody spells out. The meta description is not a ranking factor, and Google rewrites it most of the time anyway. Neither fact is a reason to skip it.

When Google keeps yours, it is the only sentence of sales copy you get in the search results. When it rewrites yours, it pulls from your page copy, so a page written with a clear benefit still wins.

Write it, then check how it renders before publishing. A free SERP simulator shows you the truncation point on both mobile and desktop, which is faster than publishing and squinting at the live result. If you are implementing these on WordPress, the mechanics of adding meta descriptions in WordPress are covered step by step.

Across a portfolio of client sites, this is also the one on-page task that batches well. Titles and descriptions can be rewritten in bulk without touching a single page’s content.

Heading Hierarchy (H1, H2, H3)

The rules fit in four lines. One H1 per page, containing the primary keyword. H2s for sections. H3s for subsections inside them.

Never skip a level.

The rule people break most often is using headings for styling. If a line is bold and large because it looks good, it should be styled, not marked up as an H3.

This matters more now than it did three years ago. AI systems extract answers block by block, and a clean hierarchy is what makes a single section quotable on its own. A page with a broken heading structure forces the model to guess where an idea starts and stops, and a guess is easy to skip in favor of a competitor who made it obvious.

Correct:

H1: How to Improve SEO on Your Website
  H2: Fix Your Technical Foundation
    H3: Check What Google Has Indexed
    H3: Improve Page Speed
  H2: Match Every Page to Search Intent

Broken:

H1: How to Improve SEO on Your Website
  H3: Check What Google Has Indexed
  H2: Fix Your Technical Foundation
    H4: Improve Page Speed

The second version says the same things. It just makes the relationships unreadable.

URL Slugs and Image Alt Text

Slugs should be short, lowercase, hyphenated, and built around the keyword. Drop stop words. Drop dates, because a slug with 2024 in it ages badly and gives you a reason to break a URL later.

The warning that matters: never change the slug of a page that already ranks without putting a 301 redirect in place. You reset the signals that URL accumulated, and rebuilding them takes months. If you want the full set of rules, we covered what an SEO slug is and how to change one safely.

Alt text has one job: describe the image for someone who cannot see it. That is it. Keyword stuffing alt attributes is a habit left over from 2012 and it helps nothing.

Every informative image needs alt text. Decorative images, the ones that carry no information, take an empty alt attribute so screen readers skip them instead of reading a filename aloud.

While you are in there, name the file before uploading. blue-cotton-tshirt-front.jpg is worth more than IMG_4471.jpg, and it costs three seconds.

Step 5: Update and Consolidate Your Existing SEO Content

This is the highest-return step in the guide, and it is the one most people skip in favor of publishing something new. The reason it works is simple: you are improving pages Google has already crawled, already indexed, and already assigned some level of trust.

Part A: refresh what is close.

In Search Console, filter your queries to positions 8 through 20. These are the queries one push away from the part of page one people actually click. Find the page receiving each one, then do four things to it:

1. Update figures, screenshots and references that have gone stale.
2. Add the subtopics the current top five cover and you do not.
3. Fix the intent match if the format is wrong for the query.
4. Change the publish date only if the content genuinely changed.

That last one is not a formality. Updating a date without updating the content is a well-known trick and it does not work.

Part B: consolidate what competes.

Keyword cannibalization is when several of your own URLs compete for the same query, and it is more common on older sites than anyone expects. To find it, open Search Console, filter by a specific query, then check the Pages tab. If more than one of your URLs is pulling impressions and clicks for that query, you have cannibalization.

The fix is uncomfortable but mechanical. Pick the strongest page, merge whatever is genuinely useful from the others into it, and 301 the rest.

Two mediocre pages competing for one query split every signal they have earned, internal links included. One consolidated page concentrates them. You are not deleting work, you are stopping it from competing with itself.

Step 6: Target Low-Competition Keywords and Build Topic Clusters

Two ideas that only work together.

Low-competition keywords first. Google Keyword Planner is free and gets you started. If you have Ahrefs or Semrush, filter for keyword difficulty under 30 with volume at or above 100. Those thresholds are not magic numbers, they are a starting filter that keeps you out of fights you cannot win yet.

A young site should not attack head terms. The pages ranking there have years of accumulated links and topical history behind them, and you will spend six months learning that. Long-tail queries convert better anyway, because the searcher has already narrowed what they want.

Topic clusters second. A cluster is one broad pillar page plus 10 to 30 subtopic pieces, where every subtopic links up to the pillar and across to its siblings. The structure is what builds topical authority, and topical authority is what separates a site that ranks from a site that publishes.

For a WordPress site selling a WooCommerce theme, a cluster might look like this. Pillar: a complete guide to WooCommerce product pages. Subtopics: product schema markup, product image optimization, variation handling, category page structure, and product page speed.

Each one is a real query someone searches. Together they tell Google you are not guessing about WooCommerce product pages.

Publishing five connected pieces on one subject beats publishing five disconnected pieces on five subjects, and the gap widens over time. More strategies for increasing organic traffic build on the same principle.

Step 7: Strengthen Your Internal Linking for SEO

Internal linking is the only authority lever you fully control. Backlinks depend on someone else saying yes. Internal links depend on you opening an editor.

Five rules cover it:

1. Link from your highest-authority pages to the pages you want to lift, not the other way around.
2. Use descriptive anchor text that names the destination. Never “click here” or “read more.”
3. Give every important page at least 3 to 5 internal links pointing at it.
4. Find your orphan pages, the ones with no internal links at all. Google barely crawls them and users never find them.
5. Keep key pages within three clicks of the home page.

You can audit this without paying for anything. Search Console has a Links report that lists your internally most-linked pages in descending order. The pages you consider important that do not appear near the top of that list are the ones your site structure is quietly ignoring.

Fixing internal links costs an afternoon and no approvals. That combination is rare enough in SEO that it deserves to be higher on most people’s list than it is.

Step 8: Add Schema Markup So Search Engines and AI Can Read Your Pages

Schema markup, written in a format called JSON-LD, is a layer of structured data that tells Google and AI models what each thing on your page actually is.

This is a product. This is its price. This is the author. This is a review, and this is its rating.

Without that layer, machines infer all of it from your text. They are decent at inferring, and “decent” is not what you want deciding whether your product’s price shows up in a search result.

Three reasons it earns a place in this list, and one honest caveat.

It makes you eligible for rich results. Star ratings, FAQ dropdowns, prices, breadcrumbs. These raise click-through rate without your position changing at all. It is the only lever in this guide that improves the outcome without moving the ranking.

It makes you readable to AI search. AI Overviews are no longer an experiment. How often they appear depends heavily on who is measuring: Conductor’s analysis of 21.9 million searches in the first quarter of 2026 put the figure at 25.11%, while trackers measuring through March 2026 report figures approaching 48%. The spread comes from different keyword sets, different geographies, different sample sizes and different measurement dates, which is why a single number is the wrong thing to quote.

What is consistent is the gap between being cited and not being cited. Seer Interactive, analyzing 5.47 million queries across 53 brands between January 2025 and February 2026, found that pages cited in AI Overviews get 120% more clicks per impression than uncited pages, though they still trail pages on AI-free result pages by 38%.

It disambiguates entities. A model needs to know that “Apple” in your article is the company, that the review belongs to the product and not the page, that the author is a person with credentials. Structured data states all of that explicitly. Explicit is what a model needs before it cites you with confidence instead of citing someone clearer.

Now the caveat, because it gets overstated constantly. Schema markup is not a direct ranking factor. It improves understanding, it makes you eligible for rich results, and it makes you easier to cite. It does not move you up the page by itself.

For agencies, schema has one property nothing else in this guide has: it standardizes at the template level. One correct Article template applies to every post on a site, and the same template can be replicated across a portfolio without rewriting a word of content. Our full guide on how to use schema markup goes deeper on each type.

The top two results are not ranked higher because of schema. They just take up more of the screen and answer more of the question before the click.

Which Schema Types to Add First

This list is ordered by return, not alphabetically. If you only get to three, do the first three.

Schema type	When it applies	What it can earn you
Organization (or LocalBusiness)	On the home page of any site. Use LocalBusiness instead if there is a physical address	Knowledge panel eligibility, logo and contact details in search
Article	On every blog post	News and article carousel eligibility, author attribution
Product + Review	On every ecommerce product page	Price, availability and star ratings in the result
FAQPage	On pages with real questions visible to the reader	Expandable questions under your result
BreadcrumbList	Site-wide	A readable navigation path instead of a raw URL
Person	On author pages and bios	Reinforces the authorship signals covered in step 11
Service, Event, Recipe, HowTo, JobPosting, Course, VideoObject	Depending on what the site does	Format-specific rich results for each type

One rule overrides all of them: only mark up what is visibly on the page. Google’s structured data guidelines are direct about it. Do not add structured data about information that is not visible to the user, even if the information is accurate, and violating a quality guideline can stop syntactically correct markup from producing a rich result or get it flagged as spam.

The temptation is real, especially with reviews and prices. It is also the fastest way to lose rich result eligibility across an entire site.

How to Add Schema in WordPress Without Code

Three routes, with honest trade-offs.

Route	Control	Effort per page	Scales to a whole site?
Hand-written JSON-LD in the <head>	Total	High	No
Your SEO plugin’s schema module	Low	Low	Partially
A dedicated schema plugin	High	Low	Yes

Route 1, writing JSON-LD by hand. Total control, and a good exercise once. It also breaks the moment someone edits a template, and nobody maintains it across 400 product pages.

Route 2, your SEO plugin’s schema module. Yoast, Rank Math and AIOSEO all ship one. They cover the basics competently. They also support a small number of types and give you limited control over individual fields, which is fine until you need Product with variations or a Person with real credentials.

Route 3, a dedicated schema plugin. This is the category built for the problem: generate JSON-LD per template, inject it automatically, manage it in one place.

Schemafy is one option in that category. It includes a visual builder covering 16 Schema.org types, AI-assisted generation that runs on your own ChatGPT or Claude API key, a manual JSON editor for the edge cases the builder does not cover, a site scan that finds pages missing schema with filters by content type and bulk selection, automatic handling of WooCommerce products, and a single screen where every applied schema can be reviewed and edited.

The objection worth answering directly, because it stops most agencies from testing anything: you do not have to uninstall your current SEO plugin. Compatibility is declared with Yoast SEO, Rank Math, AIOSEO and WooCommerce, which means this is a change you can trial on one client site without renegotiating the stack on the other eleven.

If you want to see what valid markup looks like before installing anything, there is a free schema markup generator and a JSON-LD editor that both run in the browser.

A site scan turns “we should probably add schema” into a list of 412 specific pages and the type each one needs.

Validate Before You Move On

Run every template through two validators: Google’s Rich Results Test and the Schema Markup Validator at schema.org. Templates, not pages. If the Article template is correct, all 300 posts using it are correct.

Then wait. One to two weeks after deployment, open the Enhancements section in Search Console. That is when Google has reprocessed enough of the site to tell you what it actually accepted, which is not always what the validator approved.

Fix errors before warnings. Errors block the rich result entirely. Warnings are recommended fields you left empty, which reduce your chances without eliminating them.

The most common failure has nothing to do with syntax. It is duplicate schema: your SEO plugin and your schema plugin both emit an Article block for the same page, and Google gets two conflicting descriptions of one thing. If a validator shows two of the same type on one URL, turn one of them off before you debug anything else.

Step 9: Win Featured Snippets and AI Overview Citations

Featured snippets look like luck. They are closer to a format-matching exercise, and the process repeats across every client you have.

1. Find the queries where you already rank in the top 10 but do not hold the snippet. Search Console gives you the ranking queries; a manual search tells you who holds position zero.
2. Read the format of the current snippet. Paragraph, numbered list, bulleted list, or table. Google has already decided which one this query deserves.
3. Rebuild that format on your page. A question-form heading, followed immediately by a direct answer of 40 to 60 words, with no warm-up sentence in between.

The reason this works is worth understanding. Google is not picking the best page on the internet and quoting it. It is extracting the block that best fits a format it already chose. Your job is to hand it a clean block.

The same discipline carries over to AI systems, with one addition. Models pull self-contained passages, so every section needs to survive being read in isolation. That means explicit definitions instead of pronouns pointing back three paragraphs, numbers with a citable source attached, and consistent structure from section to section. The generative engine optimization playbook goes deeper on this.

Set expectations honestly while you do it. Being cited in an AI Overview does not return the traffic a blue link produced in 2019. The Seer data above shows the gap between cited and uncited pages is large, and the gap between AI result pages and clean ones is also real. Both facts are true at once.

Step 10: Build SEO Authority Off Your Site

Off-site authority is where most SEO advice gets either vague or reckless. Five approaches are worth your time, and none of them involve buying anything.

Convert unlinked mentions. Someone already wrote your brand name without linking it. A polite email asking for the link converts a meaningful share of these, and it is the cheapest link acquisition that exists.

Be a source. Journalist request platforms like Qwoted and Help a B2B Writer send daily queries from writers who need an expert quote. Answering three a week from a real practitioner earns placements that no outreach sequence will.

Build linkable assets. Original data, a calculator, a template someone can use. People link to things they need again.

Guest post on real sites in your niche. Real means it has its own audience and would exist without link sellers.

Fix your directory profiles. For local clients, identical name, address and phone across every listing. Inconsistent NAP is a slow leak that nobody notices until a rankings audit.

One update for 2026: in AI search, unlinked brand mentions carry weight as an entity signal, not just linked ones. That changes the economics of outreach. Getting mentioned is cheaper than getting linked, and it is no longer worth nothing. The full breakdown of off-page signals that count covers how to measure them.

And the obvious warning, stated once: buying links violates Google’s spam policies. The upside is temporary and the downside lands on a client’s site, not yours.

Step 11: Make E-E-A-T Visible on the Page

Start with the correction, because this is one of the most misrepresented ideas in SEO. E-E-A-T, meaning Experience, Expertise, Authoritativeness and Trust, is not a measurable ranking factor. It is the framework human evaluators at Google apply when they rate results, and those ratings do not directly affect rankings. They feed back into algorithm refinement.

That does not make it useless. It makes it indirect. The signals that communicate E-E-A-T are entirely implementable, and most sites implement none of them:

• Real author bios with actual credentials and a link to a full profile page
• Person markup on those profiles, and a populated author field inside the Article schema
• Publish and last-updated dates visible to readers, not buried in metadata
• Sources cited with working links, especially for any claim carrying a number
• Complete About and Contact pages with a real address and a real human named
• A published editorial policy explaining who reviews content and how

Look at that list again and notice how much of it is structured data. An author bio at the bottom of a post is a paragraph. The same bio with Person markup and an author reference from the article is a machine-readable statement that this named individual with these credentials wrote this specific piece.

That is the link between this step and step 8. Trust signals a human can read are worth something. Trust signals a machine can parse are worth something in a search result.

Step 12: Track the SEO Metrics That Tell You It’s Working

Different signals move at different speeds, so checking everything weekly just generates noise.

Cadence	What to check	Where
Weekly	Impressions, clicks, and queries you have not ranked for before	Search Console, Performance report
Monthly	Average position for target pages, CTR per page, indexed page count, conversions from organic	Search Console plus your analytics
Quarterly	Referring domains, authority metrics, visibility in AI answers	A third-party SEO tool

Two vanity metrics deserve to be ignored. The rank of one isolated keyword moves daily for reasons unrelated to your work. Total traffic without segmentation can rise on a viral piece that converts nobody while your commercial pages quietly decline.

Then close the loop. Open the spreadsheet row from step 1 and compare the same five numbers. Not similar numbers, the same ones, measured the same way, over the same 28-day window. That comparison is the only thing that tells you whether the last three months of work did anything, and it is why the baseline came first.

For tracking visibility inside AI answers specifically, the tooling is still young and uneven. We tested AI SEO tools by use case to sort out which ones measure something real.

How Long Does It Take to See SEO Improvements?

Most sites see measurable movement in three to six months, and six to twelve months in competitive niches. Google’s own guidance has long been similar: Maile Ohye, then a Developer Programs Tech Lead at Google, put it at “four months to a year to help your business first implement improvements and then see potential benefit.”

The average hides a lot of variance, and the variance is mostly about what you changed.

Technical fixes and title tag rewrites can show up within days or weeks, because Google only has to recrawl a page it already trusts. New content takes months, because it has to be discovered, indexed, evaluated and then compared against pages that have been there for years. Authority takes longest of all, because it depends on other people acting.

One number is worth showing any client who thinks six months is slow. Ahrefs studied 2 million random keywords and found the average top 10 page was over 2 years old, with pages in position one averaging close to 3 years. Only 5.7% of the pages studied reached the top 10 within a year for even one keyword. A later Ahrefs update put the figures higher still.

You are not competing against pages published last month. You are competing against pages that have been compounding since 2022. WebFX reaches similar conclusions on typical timelines.

Your Website SEO Improvement Checklist

Copy this into a project ticket and work down it.

This week

• Record the five baseline numbers in a dated spreadsheet row
• Review indexed versus not indexed in Search Console and open every exclusion reason
• Submit the XML sitemap
• Confirm robots.txt is not blocking CSS or JavaScript
• Add self-referencing canonical tags
• Run PageSpeed Insights on mobile

This month

• Check search intent against the live SERP for every target page
• Rewrite title tags and meta descriptions
• Fix broken heading hierarchy
• Clean up slugs and add real alt text
• Add internal links pointing at the pages you want to lift
• Add schema markup to the home page and every post

This quarter

• Refresh the pages ranking in positions 8 to 20
• Consolidate cannibalizing URLs and 301 the losers
• Publish one new topic cluster
• Chase featured snippets on queries where you already rank top 10
• Convert unlinked brand mentions and pitch two source requests a week
• Make E-E-A-T signals visible: bios, dates, sources, editorial policy

Ongoing

• Compare against the baseline monthly
• Revalidate schema after every template change
• Update figures and screenshots before they go stale

Start With the Layer Most Sites Skip

Most sites work through steps 1 to 7 and stop there. The content is good, the technical foundation is clean, and Google and every AI model are still inferring what each page means from raw text.

Structured data is the cheap step that makes everything above it legible. Try the free schema generator on one page to see what valid markup looks like, or install Schemafy to generate, validate and inject JSON-LD across WordPress without writing code.

[CTA_DOWNLOAD]

Frequently Asked Questions About Improving SEO

These answers are marked up with FAQPage schema, which is exactly what step 8 recommends doing on any page with real questions on it.

How can I improve my website’s SEO for free?

Most high-impact SEO work costs nothing. Use Google Search Console to find indexing errors and pages ranking 8–20, rewrite title tags and meta descriptions, fix internal links, refresh outdated content, compress images, and add schema markup with a free generator. Paid tools speed up research, not results.

What is the fastest way to improve SEO?

Updating pages that already rank on page two. Find queries in positions 8–20 in Search Console, improve the matching page’s intent alignment, title tag and depth, then request reindexing. These pages already have authority, so gains often show in weeks instead of months.

How long does it take to improve SEO?

Most sites see measurable movement in three to six months, and six to twelve months in competitive niches. Google states meaningful results typically take four to twelve months. Technical fixes and title tag changes can show within days; new content and authority building take considerably longer.

Does schema markup improve SEO rankings?

Schema markup is not a direct ranking factor. It helps search engines and AI systems understand what your page contains, which makes you eligible for rich results like star ratings, FAQs and breadcrumbs. Those richer listings raise click-through rate and improve your odds of being cited in AI answers.

How often should I update my website for SEO?

Audit technical health monthly, review top-performing content quarterly, and refresh pages with outdated statistics or declining traffic at least once a year. Update only when you’re adding real value. Changing a publish date without changing the content does nothing for rankings.

Can I improve my website’s SEO myself without an agency?

Yes. Steps one through eight of this guide, from the baseline and technical fixes through intent matching, on-page optimization, content refreshes, internal linking and schema markup, are all DIY with free tools. Agencies mainly add speed, link building capacity and strategy at scale, not secret techniques.

Does page speed affect SEO?

Yes, but as a tiebreaker rather than a main driver. Google uses Core Web Vitals as a page experience signal, and slow pages lose visitors before they read anything. Test on mobile with PageSpeed Insights, since Google indexes the mobile version of your site first.

One of your clients emails: “Why don’t we show up when I ask ChatGPT for a recommendation?” Now multiply that across 10 or more sites you manage. Generative engine optimization (GEO) is the work of getting your content cited inside AI answers from ChatGPT, Gemini, AI Overviews, Perplexity, Copilot, and Claude. It matters because roughly 60% of searches now end without a click to any external site (Semrush, 2025). This guide sorts the tools by job, not by a flat ranking.

In this guide:

• [What Are Generative Engine Optimization Tools?](#what-are-generative-engine-optimization-tools)
• [How We Categorized the Tools](#how-we-categorized-the-tools)
• [Category 1: AI Visibility & Mention Tracking Tools](#category-1-ai-visibility–mention-tracking-tools)
• [Category 2: GEO Content Creation Tools](#category-2-geo-content-creation-tools)
• [Category 3: Structured Data & Technical GEO Tools](#category-3-structured-data–technical-geo-tools)
• [Free GEO Tools Worth Trying](#free-geo-tools-worth-trying)
• [How to Choose the Right GEO Tool for Your Stack](#how-to-choose-the-right-geo-tool-for-your-stack)
• [GEO Tools Comparison Table](#geo-tools-comparison-table)
• [Build Your AI Search Foundation with Schemafy](#build-your-ai-search-foundation-with-schemafy)
• [Frequently Asked Questions](#frequently-asked-questions)

Caption: For an agency, GEO is a portfolio problem: every client site needs to be readable, trackable, and citable by AI engines.

What Are Generative Engine Optimization Tools?

Generative engine optimization tools help your brand get mentioned and cited inside AI-generated answers. They monitor how large language models like ChatGPT, Gemini, and Perplexity reference you, guide content so it is easier to quote, and structure your pages so AI engines can read and trust them.

That covers three distinct jobs. The first is measurement: tracking your share of voice and citations across AI engines and AI Overviews. The second is creation: shaping content so an LLM is more likely to pull it into an answer. The third is the technical layer: the structured data that tells an engine what your page actually says.

Here is the one-line difference between the two disciplines. SEO optimizes for algorithmic page ranking. GEO optimizes for being synthesized into the answer itself. If you want the longer version, we cover it in our primer on generative engine optimization.

How We Categorized the Tools

Most GEO listicles stop at one category: mention trackers. They tell you whether an AI cites you, then rank a dozen of them by price. That leaves out the layer that decides whether an AI can read your content in the first place.

So we split the market into three:

1. Measure tools track your visibility inside AI answers.
2. Create tools help you produce content an LLM wants to cite.
3. Structure tools build the technical layer, the schema markup and structured data AI engines consume.

For an agency running 10 or more client sites, knowing which category your problem lives in is what stops you from paying for the wrong tool.

Category 1: AI Visibility & Mention Tracking Tools

These tools answer one question: is the AI citing me, and for which prompts? They run large sets of prompts across engines and report where your brand shows up, how often, and in what tone.

Caption: AI answer engines cite a handful of sources per response, so tracking whether you are one of them is the core job of Category 1.

Profound

Profound is built for enterprise teams that need real interaction data across the full field of AI engines. It captures how your brand appears across 10 or more engines, including ChatGPT, Claude, Perplexity, Gemini, Copilot, and Google AI Overviews, and was named a Leader in G2’s Winter 2026 AEO category (Profound).

Best for: large in-house teams and enterprises. Key features: cross-engine mention tracking, sentiment, and the specific prompts that trigger your brand. Pricing: custom, enterprise-tier.

SE Ranking

SE Ranking is the most complete pick because it folds AI visibility into a full-stack SEO platform instead of selling it as a standalone. You can map AI citations back to the same keyword rankings and backlinks you already track, which is exactly what an agency wants when it reports to a client.

Best for: teams that want SEO and GEO in one tool. Key features: AI visibility across six engines (AI Overviews, AI Mode, ChatGPT, Gemini, Perplexity), tied to rank tracking and backlinks. Pricing: from $52/mo, with AI tracking included in the Pro plan (around $95/mo).

Semrush AI Toolkit

Semrush tracks brand mentions across ChatGPT, Google AI Mode, AI Overviews, Gemini, and Perplexity, drawing on a database of more than 289 million prompts (Semrush). If your agency already lives inside Semrush, the toolkit slots into a workflow your team knows.

Best for: teams already on Semrush. Key features: mention tracking, share of voice, and sentiment across five engines. Pricing: $99/mo per domain, added on top of a Semrush plan.

Otterly (budget pick)

Otterly.ai is the entry-level option. It tracks citations and URLs across ChatGPT, Gemini, and Perplexity without the depth or price of an enterprise platform, which makes it a clean starting point.

Best for: solopreneurs and small businesses starting out in GEO. Pricing: from $29/mo. This is the budget pick on the list.

Category 2: GEO Content Creation Tools

These tools help you write content an AI is more likely to pull into an answer. They sit closer to your editorial workflow than to your analytics.

Writesonic

Writesonic combines AI-assisted writing, SERP research, and optimization workflows aimed at raising the odds your content gets cited or included in an AI response. For an agency producing volume across many client sites, that consolidation matters.

Best for: content teams working at scale. Pricing: from $16/mo, with team plans starting around $99/mo.

Surfer / MarketMuse

Surfer optimizes content against target keywords, competitors, and brand voice, so a draft ships with the on-page signals already in place. MarketMuse takes the planning angle: it identifies the topic areas where you can realistically build authority. Read together, one tunes the page and the other picks the battles, and both pair well with getting your meta descriptions right.

Best for: on-page optimization (Surfer) and topical authority planning (MarketMuse). Pricing: Surfer from $89/mo; MarketMuse offers a free tier plus custom plans.

Category 3: Structured Data & Technical GEO Tools

Here is the gap the rest of the market skips. Tracking tools tell you whether you appear in AI answers. They do nothing about why you appear, or why you don’t.

LLMs lean on structured data because it lowers the cost of interpreting meaning and reduces the risk of hallucinating what a page is about. Plain prose forces the model to guess. Schema markup hands it the answer in a format built for machines. That is the job of this category, and it is where a WordPress schema plugin like Schemafy operates.

Schemafy

Schemafy is a WordPress plugin that generates and manages the schema markup, the JSON-LD, that AI engines read when they decide what your page is about. Instead of hand-writing markup for hundreds of pages, you scan a site and apply structured data at scale.

Best for: sites that want their content to be readable and citable by AI engines through clean JSON-LD. Key features: schema generation for the types that matter for AI search (Article, Product, FAQPage, Organization, HowTo, LocalBusiness), JSON-LD validation, and coverage across many pages at once.

The workflow is direct. Open Schemafy → Auto Schema Generator, click Scan Site, and filter by post type to find pages missing schema. Then open Schemafy → AI Schema Generator, select a page and a type such as Article or Product, click Generate Schema with AI, and click Save to Website. If you prefer to check the output by hand, you can validate your JSON-LD before it ships. For the wider picture, see our guide on how to use schema markup for SEO and AI search.

Caption: Schemafy generates and validates JSON-LD per page, so structured data ships across a whole site without hand-coding each one.

Why Schema Markup Is the Foundation of GEO

This is not a vendor claim. In April 2025, Google stated that structured data gives an advantage in search results, and in March 2025 Fabrice Canel of Microsoft Bing confirmed that schema markup helps Copilot’s LLMs understand content (Search Engine Land).

The logic is simple. Without schema, an engine infers your page’s meaning from context, and inference is where errors and hallucinations creep in. With schema, you state it outright: this is a product, this is its price, this is the author, this is the FAQ. JSON-LD is the format recommended by Google and defined by Schema.org, which means it is the same language both classic search and AI engines already parse.

That order matters. A tracker that reports you are invisible in AI answers cannot fix the reason you are invisible. The structured layer comes first. Measurement comes after there is something structured to measure.

“Structured data gives an advantage in search results.” Google, April 2025. Microsoft’s Fabrice Canel confirmed the same month that schema helps Copilot’s LLMs understand content.

Free GEO Tools Worth Trying

Before you commit budget, audit where you stand. A few tools cost nothing and give you a baseline:

• HubSpot AI Search Grader grades how your brand shows up in AI answers.
• Mangools AI Search Grader runs a lightweight visibility check across engines.
• Schemafy’s free schema markup generator builds valid JSON-LD without code.
• A SERP preview tool shows how your title and description render before you publish.

Treat these as your first pass. They tell you whether you have a visibility problem, a content problem, or a structure problem, which points you at the right paid category next.

How to Choose the Right GEO Tool for Your Stack

Match the tool to the bottleneck, not to the hype.

If you already run a full SEO stack and just need to see your AI footprint, add a visibility layer. SE Ranking suits teams that want it inside their existing rank tracking; Semrush suits teams already in that ecosystem.

If your bottleneck is production, and you cannot ship citable content fast enough across client sites, the answer is a creation tool like Writesonic or Surfer.

If you appear rarely or inconsistently in AI answers, the problem is usually upstream: the engine cannot read your pages cleanly. Fix the technical layer with schema first. That same discipline underpins how you increase organic traffic in classic search, so the work pays off twice.

The practical rule: measure, but first make sure there is something structured to measure.

GEO Tools Comparison Table

Tool	Category	Best For	AI Engines Covered	Starting Price
Profound	Tracking	Enterprise teams	10+ (ChatGPT, Claude, Perplexity, Gemini, Copilot, AI Overviews)	Custom
SE Ranking	Tracking + SEO	SEO and GEO in one	6 (AI Overviews, AI Mode, ChatGPT, Gemini, Perplexity)	From $52/mo
Semrush AI Toolkit	Tracking	Teams on Semrush	5 (ChatGPT, AI Mode, AI Overviews, Gemini, Perplexity)	$99/mo per domain
Otterly.ai	Tracking (budget)	Solopreneurs	ChatGPT, Gemini, Perplexity	From $29/mo
Writesonic	Content creation	Content teams at scale	ChatGPT, Perplexity (research)	From $16/mo
Surfer	Content creation	On-page optimization	Content layer	From $89/mo
MarketMuse	Content creation	Topical authority	Content layer	Free tier; custom
Schemafy	Structured data	Citable content via JSON-LD	Engine-agnostic (all read schema)	Freemium
AI Search Grader	Free audit	A first visibility check	ChatGPT and others	Free

Caption: Visibility trackers show the score. The structured data layer is what actually moves it.

Build Your AI Search Foundation with Schemafy

The trackers on this list tell you the score. They cannot change it. Winning share of answer means building the structured data layer that AI engines read and cite, and that is the part Schemafy handles: clean JSON-LD across your pages, generated and validated without hand-coding each one.

If your content is not showing up in AI answers, start where the engines actually read: your structured data. Audit what your pages are missing, generate the schema, and give every AI engine a page it can quote with confidence.

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Frequently Asked Questions

What is the best generative engine optimization tool?

There’s no single best GEO tool. It depends on the job. For AI visibility tracking, SE Ranking and Profound lead; for content, Writesonic; for the technical structured-data foundation that makes content citable by AI, Schemafy. Most teams combine one tracker with a schema layer.

Do I need a separate tool for GEO or is SEO enough?

SEO and GEO work together, but SEO tools alone don’t show whether AI engines cite you. GEO tools track brand mentions across ChatGPT, Gemini, and Perplexity, and help structure content so LLMs can trust and quote it. You need both.

Are there free generative engine optimization tools?

Yes. Free GEO tools like AI Search Grader and HubSpot’s AEO Grader evaluate how your brand appears in AI answers, and free schema generators create basic JSON-LD. They’re good for auditing, but paid tools add continuous tracking and scale.

Does schema markup help with generative engine optimization?

Yes. AI engines prioritize structured data because it reduces the work of interpreting meaning and lowers hallucination risk. Google (2025) confirmed structured data gives an advantage, and Microsoft confirmed schema helps Copilot’s LLMs understand content, making pages easier to cite.

How do GEO tools measure AI visibility?

GEO tools run large sets of prompts across AI engines and track whether your brand is mentioned, cited, or linked. They report share of voice, sentiment, and which prompts trigger your brand, some drawing on databases of hundreds of millions of prompts.