Generative engine optimization tools: what they do and how to choose one

Before you compare products, work out which problem you have. You may not know whether AI answers mention you, you may suspect crawlers can’t reach your pages, or you may need help with content. Each one needs a different kind of tool, and the platforms already give you some of the data free.

Most “best GEO tools” pages are written by vendors. They put their own product first and don’t say how they scored anything. This guide sorts tools by the job they do and gives you questions to ask before you pay.

What GEO tools do, and what none of them can do

A tracker sends questions (prompts) to AI engines and records the answers. An audit tool looks at your site from the outside: robots.txt rules, whether pages can be reached and how the content is structured. A content assistant suggests edits. All three can be useful, but they only observe and advise. None of them controls what an engine writes.

Google’s documentation is plain about its own AI features. To be eligible as a supporting link in AI Overviews or AI Mode, “a page must be indexed and eligible to be shown in Google Search with a snippet”, and “there are no additional technical requirements”. It adds that “specific optimization isn’t required” and that the usual SEO basics still apply. Be wary of any tool that promises guaranteed inclusion in AI answers, because Google documents no special lever for it. For how this fits with ordinary search work, see GEO vs SEO.

The four kinds of tool

Job	What it tells you	What it can’t tell you
Visibility and citation tracking	Whether sampled AI answers name or link to you	What every user sees, or why an engine chose a source
Site and crawler audit	Whether bots are allowed in and can read your pages	Whether you will be cited once they can
Content assistance	Suggested edits and structure	Whether those edits will change any engine’s answer
Free first-party reports	What the platform itself logged about your site	Competitors, or questions you never appeared for

Many products bundle two or more of these and call the result a platform. That is fine, but judge each part on its own job.

Visibility and citation trackers

These run a set of prompts against one or more AI engines. They log whether your brand is named, whether your pages are linked as sources, and sometimes the tone of the answer.

Keep mentions and citations apart. A mention means your name appears in the answer text. A citation means one of your URLs appears as a source. You can get one without the other, and a dashboard that merges them hides which problem you have. What is AI visibility? explains the difference in more detail.

Site and crawler audits

An audit checks whether AI crawlers can reach you at all. A useful one compares your robots.txt with the user agents each operator publishes:

• OpenAI: OAI-SearchBot (ChatGPT search results), GPTBot (model training) and ChatGPT-User (fetches made on a user’s behalf; OpenAI says robots.txt rules may not apply to these).
• Anthropic: ClaudeBot (training), Claude-SearchBot (search quality) and Claude-User (fetches when someone asks Claude a question).
• Perplexity: PerplexityBot (search results) and Perplexity-User (user-requested fetches, which Perplexity says generally ignore robots.txt).
• Google: Google says robots.txt rules for Googlebot are how you control crawling for Search, and AI Overviews and AI Mode are part of Search. Google-Extended is a separate robots.txt token for Gemini training and grounding, and Google says it does not affect inclusion in Google Search.

That last point is a handy test of an audit tool. If it tells you to allow Google-Extended so you can appear in AI Overviews, it has misread Google’s documentation. Operators change these lists, so check each operator’s page rather than relying on any copy, including this one.

The robots.txt standard, RFC 9309, describes rules that crawlers “are requested to honor” and states that “these rules are not a form of access authorization.” robots.txt asks crawlers to stay out; it doesn’t lock anything. The practical steps are in crawler access.

Content and optimisation assistants

These suggest edits, such as putting the answer near the top, tightening claims and improving structure. Some score a draft against a target query.

Be careful with the scores. The research most often cited here is Aggarwal et al., GEO: Generative Engine Optimization (KDD 2024). It tested content changes on its own benchmark, GEO-bench, with its own generative engine setup, and found that how well a method worked varied by domain. It is a useful study, but it does not show that the same changes will work on ChatGPT or Google today. When a vendor says a tactic raises AI visibility by some percentage, ask which engine, which prompts and how it was measured.

Clear, accurate writing helps readers whatever an engine does, so judge these tools on whether their edits make the page better.

Free first-party reports

Before paying anyone, look at what the platforms already give you:

• Google Search Console. Google says traffic from AI Overviews and AI Mode is included in the overall search traffic in the Performance report, under the “Web” search type. Its help pages explain how it is counted: a click on an external link in either feature counts as a click, and all the links in an AI Overview share one position.
• Bing Webmaster Tools. Microsoft announced an AI Performance report in public preview in February 2026. It shows how often your pages are cited as sources in Microsoft Copilot, in AI-generated summaries in Bing and in some partner integrations, which URLs are cited, and a sample of the “grounding queries” used to find them.

These reports come from the platforms’ own data, which is their strength. They also have limits. Each covers only its own platform, shows nothing about competitors and leaves out questions you never appeared for.

What to ask any vendor before you pay

These questions are our own recommendation. The answers will tell you more than the demo.

1. What is the prompt set? Who chose the prompts, how many are there, and can you add your own? Generic prompts only tell you about generic prompts.
2. How many repeat runs per prompt? One run is an anecdote. Ask how many samples sit behind each number.
3. Which engines, exactly? Ask for the specific products, such as ChatGPT search or Google AI Mode. “AI search” is too vague.
4. Logged-out interface or API? Does the tool collect answers as a logged-out user sees them, or through an API that may behave differently? Either can be valid, provided you know which one you are buying.
5. Citation or mention? Are they reported separately?
6. Can you export the raw data? You want rows with the date, engine, prompt and full answer text as well as the charts.
7. What are the contract and cancellation terms? Read them before you sign.

Then compare every claim the vendor makes with how the tool actually collects answers. If a claim doesn’t fit the collection method, treat it as marketing.

Why tool numbers are samples of answers

AI answers are not fixed. Ask the same question twice and you can get different brands and different sources. Google also says AI Mode and AI Overviews may use different models and techniques, so the responses and links they show will vary.

That makes a tracker’s output a sample. The tool has no fixed list to read from. When a dashboard puts you “third”, it means that, in the answers it collected with its prompts on those dates, you appeared in that pattern. Another run can change it.

Sampling still has value. A consistent trend across many samples tells you something, and one reading tells you very little. Give more weight to the direction over time than to any single figure.

Free checks to run before buying anything

This is the order we suggest. It costs nothing but time.

1. Write a fixed prompt list. Use questions your customers really ask, and keep the wording the same between runs.
2. Run each prompt more than once on the engines you care about, logged out where you can. Record mentions and citations separately.
3. Keep your own log. A spreadsheet is enough: date, engine, prompt, full answer, named or not, linked or not.
4. Check robots.txt against the user agents above, and check that your CDN or host isn’t blocking the bots you want to let in.
5. Check indexing with Search Console’s URL Inspection tool, because Google’s requirement is that a page is indexed and eligible for a snippet.
6. Read the first-party reports in Search Console and Bing Webmaster Tools.

After a few rounds you will usually know whether your problem is measurement, access or content. That tells you which kind of tool, if any, is worth paying for. For the wider first month, see getting started. For how to read your log over time, see measuring progress.

Which setup fits which kind of business

These are our recommendations:

• A small business with a few key pages: the free checks and a spreadsheet are usually enough, because the log stays small enough to read yourself.
• A larger site with many products or markets: manual runs stop being practical, so this is where a tracker earns its place. Pair it with a regular crawler audit.
• An agency with several clients: put export, a fixed prompt set per client and open methods ahead of extra features.
• A publisher or content-heavy site: start with the audit and content jobs, because access and structure come before anything else.

Whichever setup you choose, the habits in our principles still apply.

How we handle this page

We have not ranked any tools, and there is no “best” list here. A fair ranking would need a stated, repeatable test across products. Without one, it would be exactly the kind of unexplained verdict this page warns about. We quote no prices either, because we have not checked any vendor’s pricing page for this guide. If we add vendor figures later, each will come from the vendor’s own page, credited to the vendor and dated.