Best AI Visibility Tools 2026: Track Brands in AI Search

The best AI visibility tools in 2026 answer one question that classic rank trackers cannot: when a buyer asks ChatGPT, Perplexity, Gemini or Google’s AI features about your category, does your brand appear, and who gets cited instead? This comparison covers six dedicated trackers, using only the plans, engines and prices each vendor publishes on its own site.

Quick answer: For teams already on Semrush or Ahrefs, their AI add-ons (Semrush AI Visibility Toolkit, Ahrefs Brand Radar) are the simplest start. Peec AI and Otterly.AI suit focused prompt tracking on a budget. Profound and Scrunch target enterprise brands that need many engines, agent analytics and dedicated support.

AI Visibility Tools Compared at a Glance

The table below uses the same five columns for every tool. Prices and engine lists are as listed on each vendor’s own pricing or product page in October 2026; vendors change these often, so confirm before you buy.

How We Compared the Tools

This is a criteria-based comparison, not a hands-on benchmark, and no tool receives a numeric score. Every tool was assessed against the same five questions, answered only from the vendor’s own published pages. Where a vendor did not publish a figure, the table says so rather than estimating it.

Ordering in this article reflects audience fit, from suite add-ons to standalone specialists, not a quality ranking. The right choice depends on which criterion matters most to your team.

The Best AI Visibility Tools in 2026, Reviewed

Each review below covers what the tool tracks, what the entry plan includes and where it falls short against the criteria. All details come from the vendor’s own pages.

1. Semrush AI Visibility Toolkit: best for teams already inside Semrush

According to the Semrush Knowledge Base page for the AI Visibility Toolkit, the toolkit shows how brands appear in AI-generated answers and is priced at $99 per month with no free trial. It combines a Visibility Overview with an AI Visibility Score, competitor research that surfaces prompts where rivals are cited and you are not, prompt research with volume and difficulty, and brand performance analysis covering share of voice and sentiment.

Daily prompt tracking is described for platforms such as Google AI Mode and ChatGPT, and an AI Search Site Audit checks for technical issues that could block AI crawlers. The main limitation against our criteria is engine coverage: the knowledge base page does not describe Perplexity or Google AI Overviews as tracking sources. It is strongest for teams who want AI data next to their existing keyword and audit workflows.

2. Ahrefs Brand Radar: best for exploring a large prebuilt prompt index

The Ahrefs Brand Radar page describes two ways to measure visibility. Prompt Tracking runs the buyer questions you define, refreshed up to daily, and is sold as its own paid tier. The AI Visibility Index is a searchable set of pre-collected AI responses, described as covering more than 525 million search-backed prompts, so you can research a category without writing prompts first.

Brand Radar’s FAQ lists AI Overviews, AI Mode, ChatGPT, Perplexity, Gemini and Copilot, with Claude also named for prompt tracking. The page notes that paid Ahrefs plans from Lite upward include some free AI prompts, which lowers the cost of trying it if you already subscribe. The trade-off is pricing complexity: limits are expressed in checks and prompts per tier, so model your expected usage before committing.

3. Profound: best for enterprise brands that need breadth and governance

Profound’s pricing page lists two public options: a free trial tier and a custom-priced Enterprise plan. The trial covers three engines (ChatGPT, Gemini and Google AI Overviews) with 50 unique prompts run daily for seven days, one language and one region, and no data history or exports. Enterprise tracks up to nine answer engines, including Perplexity, Google AI Mode, Microsoft Copilot, DeepSeek, Claude and Exa Search.

Beyond tracking, Profound packages Agent Analytics for bot visits, Prompt Volumes for researching what people ask AI, ChatGPT Shopping tracking, SSO/SAML, SOC 2 compliance and API access with CSV and JSON exports on Enterprise. Against our criteria it scores well on coverage and depth but low on price transparency, because no Enterprise figure is published. It is a fit when legal, security and multi-market reporting requirements outweigh cost.

4. Peec AI: best for SEO teams who want clear, tiered daily tracking

Peec AI’s pricing page lists Starter at $95 per month (50 prompts, 1 country, 1 project), Pro at $245 per month (150 prompts, 3 countries, 2 projects) and Advanced at $495 per month (350 prompts, 3 countries, 5 projects), with Enterprise priced on request. All three self-serve tiers run prompts daily across three active models chosen from ChatGPT, AI Mode, AI Overviews, Microsoft Copilot, Gemini and Naver AI.

Perplexity and API-based models such as Claude and Grok are listed as Enterprise-only, which matters if Perplexity is important in your market. Useful extras include an Objections report on Pro and above that surfaces arguments AI makes against your brand, prompt fact-checks, crawl insights for bot visits and MCP access on every plan. Peec is a strong middle option: published pricing, predictable limits and enough depth to act on.

5. Otterly.AI: best low-cost entry point for small teams

Otterly.AI’s pricing page shows Lite at $29 per month with 15 search prompts, Standard at $189 per month with 100 prompts and Premium at $489 per month with 400 prompts. A toggle offers annual billing at 15 percent off, and the FAQ confirms a free trial for new users. Every plan tracks four engines: ChatGPT, Google AI Overviews, Perplexity and MS Copilot.

Google AI Mode, Gemini and Claude are sold as paid add-ons priced per tier, so total cost rises if you need them. Lite includes brand visibility and sentiment analysis, citation source tracking, unlimited team members and 1,000 GEO URL audits per month, while Standard adds API and MCP access. The 15-prompt Lite limit is tight for a whole category but workable for a single product line or a pilot.

6. Scrunch: best for marketing teams that want to act on AI-agent traffic

Scrunch’s pricing page lists Starter at $250 per month billed annually or $300 month to month, with three user licences, 350 custom prompts, 1,000 industry prompts, three personas and five page audits. Growth is listed at $417 per month annually or $500 month to month with 700 custom prompts and ten page audits, and Enterprise is custom.

Scrunch names ChatGPT, Claude, Gemini, Perplexity, Google AI Mode and AI Overviews, and Meta as tracked engines. Its distinctive feature is AXP, described as an Agent Experience Platform that generates an AI-friendly version of your site. Persona-based prompts and agent traffic monitoring suit teams with several audience segments, though the entry price is higher than Peec or Otterly.

Best AI Visibility Tool for Each Use Case

If you skim one section, make it this one. Each recommendation maps a common buying situation to the tool whose published features fit it most directly.

Before signing an annual contract, run a short trial or a single month on the tool that matches your situation. Compare its findings with a manual spot check of your ten most important prompts in the assistants your customers use.

What AI Visibility Data Cannot Tell You

AI visibility tools sample answers to prompts you choose, so the result is only as representative as your prompt list. AI answers also vary by session, location and model version, which is why vendors run prompts daily and report trends rather than single results. Treat a visibility score as a directional indicator, not as a precise market share.

Visibility is also not the same as traffic. In a Pew Research Center analysis published in July 2025, 18% of the Google searches studied produced an AI summary. Users who saw one clicked a traditional result in 8% of visits, against 15% when no summary appeared, and clicked a link inside the summary in just 1% of visits.

That gap is the strongest argument for measuring mentions and citations directly: a brand can be named in an answer the user never clicks through from. Note too that Google’s documentation on AI features says AI Overviews and AI Mode traffic is included in the overall Search Console Performance report rather than shown separately. Pair your tracker with analytics that segment AI referrals, and read our guide on tracking SEO performance of AI content for the measurement side.

What to Do With the Data: From Visibility Gaps to Content

Every tool above tells you where you are missing. None of them, on the pages reviewed, writes and publishes the content that closes the gap at scale. The typical loop looks like this:

1. Find the gap. Export prompts where competitors are cited and you are not, plus the source pages AI engines cite for them.
2. Map gaps to topics. Group prompts into topic clusters and decide which need a pillar page, a cluster article or a short supporting answer.
3. Publish extractable answers. Lead each section with a direct answer, use clear headings, tables and FAQ blocks, and add structured data where it applies.
4. Link the cluster. Connect supporting articles to their pillar so the topic reads as one body of expertise.
5. Re-measure. Re-run the same prompts after publishing and track the trend over several weeks.

Steps two to four are content production, which is where a separate tool category fits. Authenova is one option for teams publishing on WordPress: it builds strategies per site with keyword roles, generates pillar, cluster and supporting articles with Article, FAQ and HowTo schema, adds internal links automatically, and pings IndexNow when sitemaps update. It is not an AI visibility tracker, rank tracker or backlink tool, it publishes only to WordPress, and it does not list a public price beyond its free plan, so you would still pair it with one of the trackers above.

For the optimisation principles behind step three, see our guide to generative engine optimization and the Google AI Overviews optimization guide. If you are choosing the content tool as well, our AI SEO content generator comparison covers that side of the stack.

Buyer Checklist Before You Subscribe

Use this checklist to compare vendors on equal terms. It turns the methodology above into questions you can put to sales teams or test during a trial.

• Engines: Which engines are included on the plan you can afford, and which cost extra? Check Perplexity, AI Mode and Gemini specifically.
• Prompts: How many prompts does the plan run, how often, and in how many countries or languages?
• Citations: Does it show which URLs AI engines cite, so you can see whose content wins?
• Competitors: Can you track named competitors and see prompts where they appear and you do not?
• Exports and API: Can you move data into your reporting stack, or is it locked in dashboards?
• History: Is historical data kept, and for how long? Trials sometimes exclude it.
• Billing: Is the headline price monthly or annual, and what does an extra block of prompts cost?

Finally, write your prompt list before the trial starts. Base it on real sales questions, support tickets and the comparisons buyers make, so the first week of data reflects your actual market. Our answer engine optimization guide explains how to phrase prompts the way buyers ask them.

Frequently Asked Questions