The 10 best AEO tools for measuring AI visibility in 2026

How we judged the tools

We make Echo, so read its place at the top with that in mind, and judge every tool, ours included, against the same criteria. They are the questions from how to choose an AI visibility tool, condensed to what decides whether a measurement can be trusted and used.

1. Engines. ChatGPT, Perplexity, Gemini and Claude at least, plus Google's AI Overviews and AI Mode as part of the product.
2. Method. Your own prompts, run on a stated schedule, repeated, in the markets and languages you sell in.
3. Evidence. The full answer, the position of each brand, the sentiment with the quoted sentence, and every cited page.
4. Competitors. Measured on the same prompts, so share of voice compares like with like.
5. From finding to fix. Whether the tool says what to change and checks afterwards whether it worked.
6. Proof. Whether it connects visibility to visits, leads and deals, and labels that honestly as attribution.

Features change quickly in this market. Everything below reflects the products at the time of writing; check a vendor's current plans before you buy.

The 10 best AEO tools at a glance

1. Echo: the best AEO tool overall

Echo runs your prompts against ChatGPT, Perplexity, Gemini, Claude and Grok, plus Google's AI Overviews and AI Mode, on a schedule you set per assistant (daily, weekly or off), in every market you sell in, with several samples per prompt. It reports visibility, share of voice, position, sentiment and the pages each answer cites, and keeps every answer in full so any number can be traced back to a sentence.

What sets it apart is what happens after the measurement. Every finding becomes an action with the proof attached, an owner, a due date and a before and after: a page to build, a fact to correct, a site to get mentioned on. Echo drafts the content in the brand's voice, can put drafts and corrections into Framer as drafts for a person to publish, and checks afterwards whether visibility moved. Results connects visits from AI assistants, through the Echo tag or GA4, to leads and deals in HubSpot or Attio, always labelled as attribution.

• Measures: visibility, share of voice, position, sentiment, citations and citation gaps, topics, brand perception, AI crawler visits.
• Beyond measurement: Actions, Projects, FactCheck, Mentions, briefs and drafts, the monthly AEO report.
• Worth knowing: you can import prompts from Peec and Profound, and a free AI score shows how ready your site is before you sign up.
• Best for: marketing teams that want one tool to measure AI visibility and do the work that improves it.

2. Profound: the enterprise monitoring choice

Profound is the best-known name in the category and the reference many teams compare against. It tracks how the major AI assistants describe a brand, with share of voice, sentiment and citation analysis, and adds research into what people ask AI assistants and analytics on which AI crawlers visit the site.

Its depth suits large brands with an analyst or agency to work the data. The trade-off is that it is priced and sold for enterprise, and turning its insights into shipped changes is largely left to your team.

• Best for: large brands with a dedicated budget and people to act on the findings.

3. Peec AI: clean, prompt-based monitoring

Peec AI is built around the prompts you choose. It tracks visibility, position and sentiment across the main assistants, shows which sources the answers rely on, and compares you with competitors on the same prompts. Its interface is among the clearest in the category, and it is quick to set up.

Peec focuses on monitoring and source analysis. Expect to take its findings into another tool or a spreadsheet to plan the work.

• Best for: teams that want accurate, easy-to-read tracking and will plan the fixes themselves.

4. Scrunch: monitoring plus a site layer for AI agents

Scrunch combines AI visibility monitoring with a focus on how AI agents read your website. Alongside prompts, sentiment and citations, it offers a way to present an AI-friendly version of your pages to AI crawlers and agents.

That makes it interesting for brands with complex, script-heavy websites. Teams with simple sites may get less from the agent layer than from the monitoring.

• Best for: brands whose websites are hard for AI crawlers to read.

5. AthenaHQ: tracking with recommendations

AthenaHQ tracks visibility across the major assistants and pairs it with recommendations on content and sources that could improve it. It sits between pure monitoring tools and platforms built around actions.

Check how specific its suggestions are for your prompts during a trial; recommendations are only as useful as the evidence behind them.

• Best for: teams that want guidance next to their tracking without a large platform.

6. Otterly.AI: a simple starting point

Otterly.AI is one of the simplest ways to start. You add prompts, it checks how AI assistants answer them, and it reports brand mentions, cited links and changes over time, with alerts when something shifts.

Its simplicity is the point. Teams that outgrow it usually want deeper sentiment, competitor and citation analysis, or help acting on the results.

• Best for: marketers testing whether AI visibility matters for them before committing a larger budget.

7. Semrush AI Toolkit: AI visibility inside your SEO suite

Semrush's AI Toolkit adds AI visibility reporting to the Semrush platform: how AI assistants mention your brand, sentiment, and how you compare with competitors, next to the keyword and ranking data many teams already use.

The benefit is one login for SEO and AI search. The limit is that AI visibility is an add-on to an SEO suite, so prompt control and answer-level evidence are less central than in dedicated tools.

• Best for: teams already paying for Semrush who want a first view of AI search.

8. Ahrefs Brand Radar: market-level research

Ahrefs Brand Radar looks at AI mentions across a large set of queries that Ahrefs maintains, rather than only the prompts you choose. That makes it good for research questions: which brands AI names most in a category, and where a competitor is mentioned.

Because the queries are Ahrefs' rather than your buyers', it complements a prompt-based tracker rather than replacing one.

• Best for: category research and competitive discovery, especially for existing Ahrefs users.

9. Goodie: tracking and optimisation help

Goodie positions itself as an AEO platform that tracks visibility across AI assistants and helps optimise content to be cited. It covers the usual monitoring measures and adds guidance on what to write or change.

As with any tool that recommends content, ask to see the answers and citations behind each recommendation during your trial.

• Best for: teams that want monitoring and content guidance from one vendor.

10. Rankscale: flexible tracking for audits

Rankscale is a lighter, flexible tracker for AI visibility, popular with consultants and teams that run occasional audits rather than a weekly programme. It reports mentions, positions and citations across the main assistants.

It suits checking a set of prompts for a client or a launch. For an ongoing programme with owners and deadlines, a fuller platform fits better.

• Best for: consultants, agencies and one-off AI visibility audits.

How to choose between them

Start from the job, not the feature list.

• You need to report AI visibility to leadership. Any of the top five will give you a credible number. Make sure it is a share of repeated runs, not one answer, and that Google's AI Overviews are in it.
• You need AI visibility to go up. Choose a tool that turns findings into specific actions and measures the before and after. Otherwise the dashboard becomes a weekly screenshot that nobody acts on.
• You need to prove it pays. Look for a connection to GA4 or a site tag and to your CRM, and read how to see traffic from ChatGPT, Perplexity and Gemini in GA4 to know what is measurable.
• You only want a first look. A simple tracker or your SEO suite's add-on is enough to learn whether AI answers mention you at all.

A worked example: Fernwick, a made-up scheduling tool, trialled two tools with the same 60 prompts for two weeks. Both showed Fernwick named in roughly the same share of answers. Only one showed that the answers kept citing an outdated comparison page as the source of a pricing caveat, and turned that into an action to update the page and ask the comparison site for a correction. That difference, not the headline number, decided the purchase.