What Are Some AI Visibility Tools I Can Use? A Category Guide by What Each One Actually Proves

AI visibility tools fall into five working groups: free one-off checkers, prompt monitors that track whether AI answers name you, technical AI-readiness auditors, AI referral attribution tools that tie assistant traffic to conversions, and traditional SEO suites that bolted on an AI module. Names you will meet while shopping include Profound, Peec AI, Otterly.ai, Scrunch AI, Semrush's AI toolkit, Ahrefs' Brand Radar, and Clarity Search AI. The logo matters less than one question: what can this tool actually prove, and can you check its work?

Here is the landscape, grouped by what each class puts in your hands.

Free AI visibility checkers: the fastest way to see the gap

What it is: You paste in a domain, the tool asks a handful of buyer-style questions to an AI engine, and it shows you whether your brand came back and who got named instead.

Who it is for: Anyone who has never measured this and needs a baseline before spending a dollar. Also the new head of growth who needs a slide by Friday.

Verdict: Start here, always. Nothing in a vendor deck moves a skeptic like watching an assistant recommend four competitors and skip you. Our free AI visibility check is the version we point people at, and it costs nothing to run.

Know the ceiling, though. One snapshot is a diagnosis, not a program. The same applies to the free tiers of the paid monitors, ours included: on our free plan a check is on-demand only, ChatGPT only, three tracked questions, one check per rolling seven days, with the last week of history. That is enough to find out whether you have a problem. It is not enough to manage one.

Prompt monitors: the center of the category

What it is: The tool stores the questions your buyers actually ask, re-asks them on a schedule across ChatGPT, Claude, Gemini, and Perplexity, detects every company named in each answer, and tracks your mention rate, your average position when you appear, and a competitor share-of-voice leaderboard.

Who it is for: Any B2B or local business where buyers ask an assistant for a shortlist before they ever reach a website. If an assistant sits in the purchase path, this is your measurement layer.

Verdict: Most of the category lives here, and so does most of the quality spread. Profound, Peec AI, Otterly.ai, and Scrunch AI all compete in this lane. So do we. The differences hide in details no feature grid shows, so push on them in the demo rather than after you sign.

Does the tool store the full answer text and the source links behind it? We keep the complete answer from each platform, which model produced it, and up to 20 deduplicated source links per question, because the useful work is reading why a competitor got named instead of guessing. Does it ask the way a buyer asks? A short auto-written persona and a location line in front of the question change the answer you get back; a bare prompt fired into a logged-out session is not what your customer sees. And how does the tool decide you were mentioned? Grounded detection means the extractor is never told which company is yours, and a separate word-boundary check decides afterward whether any company named is you. Asking a model "were they mentioned?" inflates the number. There is also a real difference between your name sitting in the prose of an answer and your URL sitting in a citation list underneath it. We log the second as a citation, not a mention. Plenty of tools blur the two and over-report.

Press on cadence claims too. "Daily" almost never means every question every day. Ours runs every day and rotates through your question pool, so any single question comes back around roughly weekly. That is an honest answer. Ask every vendor for theirs.

Technical AI-readiness auditors: whether the engines can read you at all

What it is: A crawl-side check on whether AI user agents are allowed to fetch your pages, whether your article text arrives in the initial HTML response, whether your sitemap is accurate, whether your structured data validates, and whether you publish an llms.txt.

Who it is for: Anyone on a JavaScript-rendered site, anyone who inherited a robots.txt they did not write, and anyone whose content is good but invisible.

Verdict: Unglamorous, and frequently the actual blocker. A monitoring subscription bought before this gets fixed just buys you a front-row seat to losing. Check AI readiness free first.

AI referral attribution: the class almost nobody buys and everybody needs

What it is: Software that identifies sessions arriving from ChatGPT, Claude, Gemini, and Perplexity, then follows them through to leads, sales, and dollars across the whole site.

Who it is for: Founders and growth leads who have to defend a channel in a board meeting, where "we appeared in 40 answers" is not an answer.

Verdict: This is the hole in most stacks, and you can start closing it yourself this afternoon. Build a GA4 exploration filtered to referrals from chatgpt.com, perplexity.ai, and gemini.google.com. Do it. It takes an hour and it beats nothing. Then notice how absurdly small the number looks next to the mention rate your monitor reports, because assistants increasingly strip or obscure the referrer and a genuine ChatGPT visit lands in analytics looking like direct traffic. We broke that down in how AI assistants pass referral data and in closed-loop attribution versus dark-traffic estimation. One question sorts the vendors: how do you handle a stripped referrer? If the answer is a modeled estimate, that is a guess wearing a chart.

SEO suites with an AI module

What it is: An established rank-tracking platform, Semrush and Ahrefs being the obvious two, that added AI Overview or chatbot-mention tracking on top of its existing keyword index.

Who it is for: Teams already paying for the suite who want directional signal without a second contract.

Verdict: Convenient, rarely deep. Optimizing for a search box and optimizing to be quoted inside a generated answer are different disciplines. A module bolted to a keyword index tends to show you AI-flavored rankings rather than the answers themselves, and the answers are the thing you need to read.

Why we refuse to publish a composite AI visibility score

Plenty of tools in this category will hand you one number out of 100 and call it your AI visibility. We deliberately do not ship one, and you should treat any vendor's score with suspicion until they show you its inputs.

A composite bundles signals of wildly different quality into a figure that moves for reasons you cannot audit. It ticks up, and you cannot tell whether that was a real win on a question your buyers type or noise on a prompt nobody has ever asked. We publish the concrete numbers instead: what share of analyzed answers mention you, your average position when you are mentioned, how many answers were analyzed, how many companies showed up, and the stored answer text with up to 20 source links behind each one. Every figure traces back to an answer you can open and read. A number you cannot verify is marketing, not measurement.

How to choose in one pass

Shortlist by proof, not by feature count. Can you read the raw answers and the links behind them? Does it cover the engines your buyers actually use, not just the one with the friendliest API? Does anything in the stack connect an AI answer to a dollar? And does the tool do work, or only report?

Most stacks end up as three subscriptions that never talk to each other. Clarity runs the loop as one agent: Clark monitors your buyers' questions on a daily rotation, writes answer-first posts aimed at the questions where you are invisible, publishes them to your CMS, then ties the sessions and the revenue back to the engine and the post that earned them. Everyone shows you rank. We show you revenue. Start with the free check and find out what the engines are saying about you today.