How to choose an AI visibility tool

Start with the job, not the score

AI visibility tools do different jobs. Technical auditors test whether crawlers can reach and understand a site. Citation monitors ask repeatable questions and record which brands and URLs appear. Content-gap tools compare the evidence on your pages with the pages being cited. The most useful platform connects all three: it finds a problem, recommends a change, and checks whether the change improved measured answers.

A single proprietary score can summarize a site, but it should never be the only evidence. Look for the underlying checks, captured answers, cited URLs, timestamps, and a clear explanation of how the score was calculated.

The features that matter

• Live technical checks for robots.txt, noindex directives, canonicals, sitemaps, response codes, structured data, and server-readable content.
• A question set you can inspect and edit, so monitoring reflects what real customers ask rather than a hidden generic benchmark.
• Captured answers and exact citation URLs, with the provider, date, locale, and query preserved as evidence.
• Historical mention and citation changes, including new and lost citations rather than a score with no audit trail.
• Competitor comparison at the query and cited-page level, not only a broad share-of-voice percentage.
• Prioritized fixes tied to observed evidence, followed by a way to verify the outcome after publishing.

Compare the main tool categories

The named tools in 2026, with published entry prices

All 14 AI visibility products compared on this site are listed below, 13 of them with an entry-tier figure taken from the vendor's own pricing page. BrightEdge publishes no price at any tier and is shown as unpriced rather than left out. Allowances, engines, currencies, and billing terms differ substantially, so this table is for orientation. The full plan ladders, cost per tracked prompt, and the date each vendor was last checked live in the pricing guide.^3,4,5,6,7,8

Compare full pricing, plan ladders, and cost per prompt

The best AI visibility tool under $50 a month

Three products publish a recurring paid plan under $50 a month: Rankscale Essentials from $20, OtterlyAI Lite at $29, and Robot Visible Monitor at $39. No other tracked vendor publishes a paid plan below that line. Knowatoa starts at $59, Trakkr at £79, and Profound at $99 billed yearly. Two free options sit below all of them: AthenaHQ's Essential tier gives a one-off $25 credit, and Robot Visible scans one page free without an account.

All three paid options will tell you where you stand, and all three will suggest things to look at. OtterlyAI Lite is the straightforward $29 choice for monitoring and covers four engines before add-ons. Rankscale Essentials is the cheapest at $20, with 120 credits, 2 brand dashboards and 10 page audits a month. What we could not find documented for either is a step that takes an approved change, puts it live, and then re-checks that specific change against its own baseline.

Robot Visible splits that work across two plans, and it is worth being exact about which. Monitor publishes approved Shopify SEO fixes and re-checks your questions weekly, so you can see whether an answer moved after you shipped. Attributing a movement to a specific published change is the Fix & Prove plan at £99/month, which is above this band. Under $50 you get the fix and the ongoing check; the explicit before-and-after proof costs more.

Three things quietly move a plan across the line. Currency is the first: a pound or euro price is not a dollar price, and the tools above are compared on their own published dollar figures rather than on a conversion that changes daily. Credits are the second, because a metered tier publishes a headline price and an allowance, and the allowance is the part that decides how much checking you actually get. Add-ons are the third, and they matter most if you care which engines you are measured in. OtterlyAI Lite is $29/month, and adds Google AI Mode or Google Gemini for $9/month each. Claude is a $29/month add-on at that tier, so a plan that includes Claude costs $58 and leaves the band.

The five things that separate reporting from next actions

Most tools under $50 will tell you that your visibility is low. Fewer will tell you what to do on Monday. Test any shortlisted tool against these five, because a tool that passes the first two and fails the last three will keep you busy without ever closing the loop.

• It names the specific page that lost the answer, not a site-wide score.
• It ties the recommended change to a captured answer and the exact URL that was cited instead of you.
• It lets you edit the monitored questions, so you are measuring what your customers ask rather than a generic benchmark.
• It re-asks the same question after you publish and shows you the before and the after.
• It tells you when a movement is inside normal answer variation rather than presenting every wobble as a trend.

What we publish so you can check us

We would rather you verified this comparison than simply trusted it.

Every competitor price above comes from the vendor's own pricing page, and the pricing guide shows the date each one was last checked. An automated test fails our build if any vendor goes more than 45 days without re-verification. We also publish a permanent corrections log: 10 corrections are recorded so far, including 6 errors that reached the site and 4 caught before publication. Three share one cause, which is a pricing page that renders its figures after load and returns an incomplete answer to an automated read.

Our AI Visibility Index publishes the method behind its numbers as well as the numbers: the questions, brands, engines and thresholds are frozen when a run begins, so past results cannot be restated later, and each edition publishes its own repeatability measure. We apply the same standard to ourselves. On 6 August 2026 we asked Perplexity our own category question and published the result: Robot Visible was not mentioned, not recommended and not cited, the answer named seven other tools, and none of the twenty sources it used were ours.

No tool, including Robot Visible, can guarantee that an AI answer will cite you. What we can show is what the answer said, what changed, and what happened when the same question was checked again.

Read the verification rules and the full corrections log

Tools for finding missing indexing signals

Search Console and Bing Webmaster Tools are the first layer: they show whether major search engines can crawl and index your URLs. A crawler can then find missing titles, canonicals, sitemap entries, structured data, internal links, or content that is absent from the initial HTML. An AI visibility platform adds the final layer by connecting those technical gaps to the questions and citations you care about.

Since 3 June 2026 that first layer reaches further than it used to. Search Console reports impressions inside AI Overviews and AI Mode as a distinct surface, so appearing in a Google AI answer is now first-party measurable rather than inferred. It reports no queries, no clicks and no competitor data, which is why it complements answer monitoring rather than replacing it.

No tool can guarantee inclusion in an AI answer. Prefer tools that separate crawlability, indexability, comprehension, retrieval, mentions, and citations instead of presenting them as one mysterious outcome.

See the full workflow comparison: Robot Visible vs OtterlyAI, Peec AI, Scrunch, Profound, Semrush, and Ahrefs

A five-minute buying test

• Ask to see the raw evidence behind one result.
• Check whether you can change the monitored questions.
• Confirm which answer engines are tested live and which results are simulated or imported.
• Check the run frequency, query limits, history retention, exports, and cancellation terms.
• Run the same site twice and ask the vendor to explain expected answer variability.

Choose based on the constraint

Pitfalls that make a tool look stronger than it is

• Reporting a large prompt count without explaining how prompts multiply across engines, countries, and daily runs.
• Calling a simulated likelihood score a live citation result without making the distinction visible.
• Showing a share-of-voice percentage without the underlying questions, answers, cited URLs, and denominator.
• Recommending more content whenever a cited competitor page is longer, without matching both pages to the same intent.
• Presenting normal answer variability as a trend after only one before-and-after run.
• Generating fixes that are not linked to a detected page, claim, competitor source, or verification step.