The 10 best AI visibility tools in 2026.

Profound is the name most enterprise shortlists open with, and the depth is the reason. It runs large prompt panels against the major assistants rather than sampling a handful, trends your share of voice against named competitors, breaks out which of your pages earn the citations, and has pushed earliest into the adjacent surfaces: shopping answers, and logs of AI agents crawling your site directly.

The cost of that depth is the enterprise posture. Pricing sits behind a demo call, and reviewers consistently place it at the top of the category range. If your site has thin topical coverage, the dashboard will faithfully report a flat line for two quarters. The first dollar in that situation belongs in citable coverage, not in a sharper instrument for measuring its absence.

Peec AI has become the default mid-market pick, and it earns it by being boring in the right places. Three metrics that a marketing lead can actually act on (visibility, position, sentiment), clean competitor benchmarking, and a source report that shows which domains the engines keep quoting in your category. The last one is the sleeper feature: it tells you who to out-publish.

Like every tracker on this list, it reports the scoreboard and leaves the scoring to you. Teams that pair it with a steady stream of question-answering pages, the kind an automated SEO pipeline ships daily, watch the line respond within a quarter. Teams that only watch it do not.

Otterly.AI is the cheapest credible entry into the category. You register the prompts you care about, and it reports how often your brand and your links appear in the answers, across a wider engine list than several tools at triple the price. For a founder who wants a monthly pulse check rather than a war room, $29 covers it.

The prompt-based model is also the ceiling. You track the prompts you thought to register, which means your blind spots stay blind. Map the question space first (the method is written up in our AEO playbook), then point Otterly at the prompts attached to revenue.

Rankscale competes on breadth. Seventeen-plus engines, including the ones most trackers skip entirely (Claude, Grok, DeepSeek, Mistral), at a price that starts near a streaming subscription. It also runs a technical audit that scores whether your pages carry the structural signals engines use to verify and reuse content, which is a genuinely useful second job for a monitoring tool to do.

It is a young product and the seams show. Audit scores can move between runs on an unchanged page, and agencies report gaps in the export tooling. Treat the audit as a direction, not a grade, and cross-check anything it flags with a free technical crawl before you rewrite a page on its say-so.

Scrunch comes at visibility from an angle the pure trackers ignore: what an AI crawler actually retrieves when it hits your site. Its framing is that humans are no longer the primary visitor, and its tooling follows from that, checking how pages render to non-browser agents, where content is trapped behind client-side rendering, and which of your URLs the assistants can and cannot reach.

That makes it the right pick for one specific failure mode: a site with real content that AI engines cannot parse. Single-page apps, JavaScript-gated docs, and headless builds hit this constantly. If your pages render fine as static HTML, most of the value collapses back into ordinary tracking, and cheaper tools do that. The free audit is worth running either way to find out which situation you are in.

AthenaHQ is the most opinionated of the self-serve platforms. Rather than shipping a dashboard and wishing you luck, it pushes toward a see, act, win loop: measure how the models describe your brand, surface the specific gaps driving the deficit, then recommend the pages and mentions that would close them. For a small growth team with no dedicated SEO hire, that opinionation is worth more than another chart.

Verify the recommendations before you build a quarter around them. Every platform in this category is inferring cause from correlation across a moving model landscape, and the suggested fixes tend to be generic where your category is specific. The action list is a starting brief, and it still needs someone to write and ship the pages, which is where most teams stall out. Our AI SEO tools roundup covers what fills that execution gap.

Evertune is the outlier here, and worth understanding even if you never buy it. Most trackers ask which of your URLs got cited. Evertune asks what the model believes about your brand, sampling model outputs at scale to score how each one positions you against competitors, then trending that score as models retrain. For a brand team, that is a different and often more useful question than a citation count.

It has also moved first into paid placement inside assistants, which is where this whole category is heading. The price puts it out of reach for anyone below enterprise, and the model-perception metric is harder to tie to pipeline than a citation you can click. We track the market-level numbers behind that shift on our AI SEO statistics page.

Semrush folded its AI experiments into a full AI Visibility toolkit, and the module list is the most complete of any suite add-on: prompt research shows what people ask assistants in your category, visibility overview trends how often you appear, and perception reports summarise how the models describe you. If your team already lives in Semrush, this is the lowest-friction way to get a baseline this week.

Per-engine depth still trails the specialists above, and the recommendations lean generic in the way suite recommendations always do. Treat it the way we treat every bundled module in the wider AI SEO tool stack: a convenient thermometer that came free with the thing you were already paying for, not a strategy.

The honest free tier of the category. Enter your brand, product, and industry, and the grader reports how the major models currently perceive you, with prose you can paste straight into a strategy doc. In a category built on demo calls, a no-signup tool that answers the where do we stand question in two minutes is genuinely rare.

Know its limits before you quote it in a board deck. It reads the models rather than live retrieval, and it is a single grade with no trend line, so it cannot tell you whether last quarter's publishing worked. Use it to start the conversation, then decide whether the gap it shows is a measurement problem or, far more often, a missing-content problem.