The 10 Best AI Visibility Tools in 2026 (and What Each Actually Measures)

Two things have changed since the first trackers appeared in 2025. The category has filled up: one agency comparison counted the market growing from 3 tools in early 2025 to more than 20 in 2026, and G2 reported its AEO software category growing more than 2,000% in a single year. And the incumbents arrived: Semrush, Ahrefs and SE Ranking all now sell AI visibility as a product line, which changes the price and the buying logic for teams already paying for an SEO suite.

This article compares nine paid tools and the free checkers on four things: what they measure, which engines they cover on the plan you would actually buy, how they collect the data, and what they cost. Prices were checked against vendor pricing pages and current third-party reviews in September 2026. If you want the method for acting on what a tracker finds, the GEO audit checklist covers that; this article is about the measurement layer.

Sources: vendor pricing pages; Conductor 2026 AEO/GEO Benchmarks; Similarweb, 2026. Full table in the statistics section.

What is an AI visibility tool?

An AI visibility tool is software that checks whether, and how, a brand appears in the answers produced by AI assistants and AI search features, then tracks that over time and against competitors. The category is also sold as AI search monitoring, LLM visibility tracking, AEO tracking or GEO analytics. The job is the same: give a marketing team the equivalent of a rank tracker for a channel that has no rankings. As set out in how AI search engines choose what to cite, whether your brand is in an answer depends on which sources the engine trusted for that question on that day; it is not visible in Google Search Console and only partly visible in GA4, because most answers do not include a clicked link. A tracker is the only way to see it.

AI visibility tools compared: price, engines and what each is good for

Most of these tools are not substitutes for each other: a daily prompt tracker, a search-backed index and a crawler-analytics layer answer different questions, and teams that take the channel seriously run two or three. The table gives each tool's entry price, the plan cost at 100 tracked prompts (the realistic minimum for one product in one market), the top published price, the engines included at entry, and the job it does well. Each tool is covered in detail below. The final row is LaCleo's managed service, which runs on the same class of tools rather than replacing them.

AI visibility tools compared, September 2026 pricing

Entry engines reflect what the named plan includes without add-ons. At-100-prompts figures use list prices and the add-on costs given in each tool's section. Top prices are the highest figure the vendor publishes, or the highest third-party reported figure where marked. Verify on vendor pages at purchase; this table is updated when prices move.

The 10 best AI visibility tools in 2026

Ordered by published entry price, lowest first. Engine lists reflect the plan named, not the enterprise tier. All figures are monthly, month-to-month unless stated, and were checked in September 2026 against vendor pages and current reviews; this category changes pricing often, so confirm before buying.

What do AI visibility tools measure?

The ten tools above report the same metrics under different names. This section defines them, because tools count mentions and citations differently and the two respond to different work.

Four metrics appear in every tool: brand mentions, citations, share of voice and sentiment. Most add answer position and a breakdown of which domains the engines cite most.

1. Mentions. The brand name appears in the answer text. A mention can occur without any link and without your site being retrieved at all; the engine may know the brand from training data or from a third-party page.
2. Citations. A URL is attached to the answer as a source. Tools split these into owned citations (your domain) and earned citations (a third-party page that mentions you). Muck Rack's May 2026 analysis put earned media at 84% of AI citations, which is why the Reddit citation article matters as much as on-page work.
3. Share of voice. Your mentions as a percentage of all brand mentions across the tracked prompt set, usually compared with named competitors. Some tools call this a visibility score, defined as the share of tracked prompts where you appear at all.
4. Sentiment. Whether the mention is positive, neutral or negative. This is model-classified and worth reading as directional.
5. Position. Where in a list or ranking the brand sits when the answer is a recommendation.
6. Source analysis. Which domains and URLs the engines cite most often for your prompt set. This is the report that turns a metric into an outreach list.

How do AI visibility tools collect data?

There are three collection models, and each answers a different question. Most dedicated trackers use the first. Ahrefs and Semrush lead with the second. Profound, Otterly and Goodie add the third on higher tiers.

1. Prompt tracking

You define a set of prompts (or the tool suggests them), and the tool runs each one against each enabled engine on a schedule. The unit of pricing is usually the prompt count, sometimes multiplied by engines. Two sub-methods matter. UI collection uses a real browser session and captures the rendered answer, including citations and formatting; SE Visible states that it collects answers this way. API collection queries the model's API, which is cheaper but can return answers that differ from what a user sees, particularly on citation and source order. Several tools do not disclose which they use; ask.

2. Search-backed prompt indexes

Ahrefs Brand Radar and Semrush's toolkit maintain large prompt pools derived from search demand and pre-collected answers, so you can look up any brand retroactively with no setup. Ahrefs markets more than 400 million prompts across its indexes and Semrush cites 126 million in its 2026 index. The trade-off is cadence: Ahrefs' help documentation puts its AI chatbot indexes on a monthly refresh, with Google AI Overviews updated every few days. Custom prompt tracking is available on top, billed per check.

3. Referral and crawler analytics

The third model reads your own logs: which AI crawlers fetched which pages, and which sessions arrived from an AI platform. Profound's AI bot tracking requires integration with a CDN or hosting provider; Otterly's Agent Analytics and Goodie's crawler analytics are included from mid-tier plans. This is the only model that connects visibility to a session, and it is the one most teams skip.

How to choose an AI visibility tool

Decide on engines first, then collection model, then price. The order matters because the cheapest tool for your engine list is rarely the tool with the cheapest headline; the next section shows what that adds up to.

1. List the engines your buyers use. ChatGPT and Google AI Overviews are the floor: StatCounter's April 2026 data placed ChatGPT at 78% of AI chatbot referrals, and Similarweb measured AI Overviews on 43% of US Google queries by July 2026, up from 15% a year earlier. Add Google AI Mode, Gemini and Perplexity next. Then check which tools include that list at the tier you can afford, not at Enterprise.
2. Decide whether you need retroactive data. If the question is "how have we looked over the last twelve months across everything people ask", only the search-backed indexes from Ahrefs and Semrush answer it. If the question is "do we appear for these 100 prompts, checked daily", any prompt tracker does.
3. Check the refresh cadence against how fast you plan to act. A team shipping changes weekly needs daily data. A team reporting quarterly can live with monthly indexes.
4. Count the prompts you actually need. A single product in one market can be covered with 25 to 50 prompts. A category with several product lines and three countries needs hundreds, and that changes which tier and which tool.
5. Ask what happens after the dashboard. If the answer is "we hand it to the content team", a reporting-only tool is fine. If nobody owns the fix, a tool with an audit layer, or a managed agentic SEO and GEO program, is the purchase that changes the number.

What the tools cost at 100 prompts, and the managed alternative

Entry tiers are priced to be quoted, not to be used. Otterly.AI's Lite plan tracks 15 prompts, Semrush's Base plan tracks 25, and Profound's Starter tracks one engine. A single product in one market needs roughly 100 prompts to cover the questions buyers ask across the funnel, so the fair comparison is the plan that includes at least 100 prompts, which is the "at 100 prompts" column in the comparison table above. Tools that meter by credits or checks (Athena HQ, Ahrefs) cover 100 prompts at a lower frequency than the daily trackers at the same price.

A team that wants daily multi-engine tracking, retroactive index data and a view of AI referral traffic is buying two or three of these, then staffing the work the dashboards create. The table below adds up the published figures for three common stacks. Tool prices are month-to-month list prices from the comparison table; staffing is not included because it varies, but for reference the in-house cost model for agentic social media shows how quickly the people cost passes the software cost.

Monthly software cost of three tracking stacks at 100 or more prompts vs a managed program, September 2026 list prices

Stack totals use list prices and the add-on figures given in each tool's section; annual discounts of 15% to 20% apply on most tools. LaCleo pricing starts at 100 tracked prompts and is scoped upward by prompt count, engines and markets; the tool licenses used inside the program are included. Details on the pricing page.

The difference is not the software. Every tool above will tell a team where it is missing from AI answers. The difference is whether the finding turns into a changed page, an earned citation and a re-check the following week. In a tool-only stack that work sits with the team that bought the tools, and the three dashboards are reconciled by hand. In LaCleo's program the tools feed one agentic layer that reads them together, agents do the audit, content and citation work, and a person reviews every deliverable before it ships. The output is not a dashboard to read but an implementation pack to deploy: page changes, schema and blogs the client's developers copy and paste, with nothing to install on their side. At $750 the software cost of a mid-market stack is already covered, and the work is included.

Visibility score vs referral traffic

A visibility score and AI referral traffic are two different measurements, and both are needed to judge whether the channel is working. The visibility score will always be the larger number. Conductor's 2026 benchmark put AI referrals at about 1.08% of total website traffic on average, growing roughly 1% month over month, with ChatGPT responsible for 87.4% of it. Similarweb measured citation presence in US ChatGPT prompts at 6.8% in May 2026, up from 1.6% a year earlier. Most answers still do not link out.

The referral volume is small; the value is not. Ahrefs found that AI search visitors were 0.5% of its traffic and 12.1% of its signups, a 23-fold conversion difference. Similarweb put the AI referral conversion rate at 11.4% against 5.3% for organic. Our mid-2026 review of search visibility covers the same pattern from the Google side, where 68% of searches now end without a click. A tracker tells you whether you are in the answer. Your analytics tell you whether anyone came. The tools in the third collection model above are the ones that join the two.

How we do it

The measurement layer is the first week of a LaCleo GEO engagement, and it uses the tools above rather than replacing them.

1. Baseline. A free AI audit and a run of the free checkers establish whether the brand appears at all, and which competitors and third-party sources are cited instead.
2. Prompt set. We build the tracked prompt set from the client's category, product lines and markets, sized to the plan tier that fits, and load it into a tracker chosen for the client's engine list. For most clients that is a daily prompt tracker with four or five engines; for enterprise clients already on Ahrefs or Semrush, the suite add-on is used alongside it.
3. Audit. The 25-point GEO audit is run on the pages that should be cited, covering retrievability, extractability and the structural elements the engines favor.
4. Citation work. Agents work the source-analysis report: the domains cited instead of the client become the outreach and community list, following the approach in agentic backlinking.
5. Reporting. A monthly note on visibility score, owned and earned citations by engine, share of voice against named competitors, and AI referral sessions from the client's analytics, so the two numbers are read together.

Programs start at $750 a month with a minimum of 100 tracked prompts, scoped upward by prompt count, engines and markets. The tools are not the product; LaCleo's own agentic layer sits above them, reads the trackers, the Ahrefs and Semrush keyword data, the agentic probe and the analytics together, and directs the agents that do the content and citation work. Tool licenses are included, every deliverable is reviewed by a person before it ships, and the client keeps the tracking data if the engagement ends.

Statistics with sources

Figures used in this article, with the source and the caveat that applies

Frequently asked questions

What is an AI visibility tool?

Software that runs a set of prompts against AI answer engines on a schedule, records whether a brand is mentioned or cited in the answers, and reports mentions, citations, share of voice and sentiment against competitors over time. It is the rank tracker for a channel that has no rankings.

How much do AI visibility tools cost in 2026?

Entry tiers track 15 to 25 prompts or a single engine, so headline prices are not comparable. At 100 tracked prompts a single tool costs $99 (SE Visible) to $399 (Profound Growth) a month, Ahrefs Brand Radar runs $527 to $828 with a base plan, and enterprise tiers from Profound, Athena HQ and Scrunch are priced on request, with third-party reports putting Profound's enterprise deployments at $2,000 to $5,000 or more. All figures verified September 2026.

Which AI engines should a tool cover?

ChatGPT and Google AI Overviews at minimum, given their usage. Google AI Mode, Gemini and Perplexity next. Claude and Copilot are gated to add-ons or enterprise plans on most tools, so if your buyers use them, check that before comparing prices.

Is a visibility score the same as AI referral traffic?

No. A visibility score is the share of tracked prompts where a brand appears. Referral traffic is sessions that arrive from an AI platform, and it averaged about 1.08% of total traffic in 2026 because most answers do not include a clicked link. The score will always be larger. Both are needed to judge the channel.

Can I check AI visibility for free?

Yes. LaCleo's AI Visibility Checker and Semrush's free checker each return a one-time snapshot, and Athena HQ's free tier includes 300 credits. Free checkers establish a baseline; they do not track change over time.

Do AI visibility tools tell you how to improve?

Most report and stop. Otterly.AI adds page-level GEO audits and recommendations, Profound and Goodie add agent-driven optimization on higher tiers, and Semrush includes an AI-readiness site audit. Closing the gap is a separate job: the GEO audit and citation work covered elsewhere on this blog, or a managed program.

What does a managed alternative to buying the tools cost?

LaCleo's human-led agentic SEO and GEO program starts at $750 a month with 100+ tracked prompts and tool licenses included. It combines the trackers compared above with Ahrefs and Semrush keyword data and LaCleo's own agentic probe, tracks Reddit and subreddit citations, delivers a full competitor comparison and gap analysis, and ships on-page LLM optimization, schema and blogs as an implementation pack that developers copy and paste, with a person reviewing every deliverable. Comparable tool-only stacks at 100 prompts cost about $400 to $1,550 a month in software before staffing.

Do I need an AI visibility tool if I already use Google Search Console?

Search Console reports Google impressions and clicks, including queries that trigger AI Overviews and AI Mode, but it cannot see ChatGPT, Perplexity, Gemini or Copilot. A tracker covers the engines Search Console cannot; Search Console covers the real Google behavior the trackers estimate. They are complementary.

Working with LaCleo

LaCleo runs agentic SEO and GEO as a human-led agentic managed service. The trackers compared above are inputs to it, not the product. A program includes the following, from $750 a month.

• 100+ prompts tracked across the major LLMs: ChatGPT, Google AI Overviews and AI Mode, Gemini, Perplexity, Claude and Copilot as the client's buyer list requires, with the tool licenses included.
• The Ahrefs and Semrush keyword universes, so prompt sets and content plans are built from search demand data, not guesses.
• LaCleo's own agentic probe, which queries the engines directly and collects first-hand answer data alongside the third-party trackers, so findings are checked against two sources before anything is built.
• Reddit and subreddit citation tracking: which threads and communities the engines cite for the client's category, and which competitors are present in them.
• Full competitor comparison and gap analysis: where each named competitor is mentioned or cited and the client is not, what those sources have in common, and a strategy to close each gap.
• On-page LLM optimization: the page changes the audit calls for, written and structured for retrieval and citation.
• Deployable schema and blogs: JSON-LD written per page, and articles written to fill the gaps the analysis found, each reviewed by a person before delivery.
• An implementation pack, not a report. Every deliverable arrives ready to ship. There are no dashboards to interpret and nothing to install on the client's side; the client's developers copy and paste.

The client approves claims and pages. LaCleo's agents do the tracking, analysis and production, and LaCleo's team reviews every output before it is delivered. If you would rather size the purchase before talking to anyone, the comparison table above will tell you within a minute which tools include your engine list at 100 prompts and what that costs, which is the only question worth answering before any subscription starts.

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Sources

Semrush AI Visibility Toolkit pricing page (semrush.com/pricing/ai), September 2026. SE Visible product and pricing page (visible.seranking.com), updated September 9, 2026. Ahrefs Brand Radar product page and pricing page, as reported by Get Ryze (August 2026), Honeyb (July 2026), Meev (July 2026) and AEO Labs (August 2026). Otterly.AI published plans, as reported by Get Ryze, AISO Tools, SE Ranking and AEO Labs, July to August 2026. Peec AI pricing, as reported by Get Ryze, Geoptie, OrganiKPI and AEO Labs, June to August 2026; TechCrunch, November 17, 2025, on Peec's Series A. Profound pricing via G2, Trakkr, Maintouch and AI Peekaboo, July to September 2026. Athena HQ and Scrunch AI pricing via Get Ryze (August 2026), CrawlRaven (August 2026) and geotoolbox (August 31, 2026, on the Sitecore acquisition). Goodie AI plans via Tim Soulo, March 2026. Market figures: Conductor 2026 AEO/GEO Benchmarks; Similarweb generative AI statistics, 2026; StatCounter, April 2026; Search Engine Land, January 2026; OpenAI via TechCrunch, February 2026; Ahrefs, 2026; Muck Rack, May 2026; G2, 2026; Pixelmojo, April 2026. All figures verified September 2026.

Pricing in this category changes monthly and several vendors publish different figures on different pages. Where two published figures exist, both are given. Tool reviews cited above are written by competing vendors and agencies; only the pricing and feature facts, not their rankings, are used here.