How to choose an AI search visibility tool

An AI search visibility tool answers one question: when someone asks ChatGPT, Perplexity, Gemini or Google's AI Overviews about your category, does your brand show up, and what does the answer say about it? That is a different measurement from a keyword ranking on page one of Google. There is no URL to check, no fixed set of ten results, and the same LLM-generated answer can differ for two people asking a minute apart. This category exists because that shift has no equivalent of Google Search Console: no first-party dashboard from OpenAI or Anthropic showing who gets cited and how often. Every tool here is a third party sampling prompts and reporting what it saw.

You need one of these if AI answer engines already send you measurable traffic, or if your category is the kind people research conversationally — software, travel, health, finance, B2B services — and you want to know whether you are being recommended or ignored. You probably don't need one yet if your business is local and transactional, or if you have no content or PR budget that a report would actually change.

There is no shared measurement standard

Every vendor in this category says some version of the same thing in its own materials: "visibility," "share of AI voice" and "position" are proprietary metrics, drawn from a sample of prompts run against models that themselves change month to month. Peec AI, Profound and Scrunch all describe their own numbers as directional rather than an absolute, cross-vendor benchmark. That is not a flaw unique to one product — there is no industry body defining how a "citation" is counted, the way comScore or IAB standardized web traffic measurement. Treat any of these tools as a trend line for your own brand over time, run the same prompts through two vendors before trusting a number in a board deck, and be skeptical of any output that reads as a precise percentage rather than a rounded estimate.

How many engines it actually tracks

Coverage varies more than the category name suggests. Rankscale and Trakkr track eight or more models each, including regional entrants like DeepSeek, Grok and Mistral, which matters if your buyers are outside the US. Ahrefs Brand Radar covers six surfaces plus YouTube transcripts. Otterly.AI, Peec AI, Profound and Scrunch concentrate on the core four — ChatGPT, Perplexity, Gemini and Claude — with some, like Otterly, offering the rest as paid add-ons. If a specific assistant matters to your audience, confirm it is tracked natively rather than bolted on later.

Mentions, citations and actual traffic are three different things

A brand can be mentioned by name in an AI answer without being cited as a linked source, and can be cited without a single visitor clicking through. Ahrefs Brand Radar explicitly separates mention from citation. Most tools in this category report citation frequency and sentiment but stop short of connecting that to your own site's traffic. Trakkr is the exception worth noting: it links directly to Google Analytics to attribute converting sessions back to the AI platform that sent them, which is the only way to know whether visibility is actually moving revenue rather than just appearing in a dashboard.

A standalone platform, or an add-on you already half-own

If you already run Ahrefs or SE Ranking for conventional SEO, both now report AI-answer visibility inside the same login — Ahrefs through Brand Radar, SE Ranking through a paid AI Search add-on — which keeps AI visibility next to organic performance instead of in a separate tool nobody opens. The dedicated platforms (Goodie, Otterly.AI, Peec AI, Profound, Rankscale, Scrunch, Brandlight, Trakkr) go deeper: custom prompt sets, competitor benchmarking by name, and, in several cases, guidance on restructuring content and schema markup to make pages easier for a model to cite. Choose the add-on if visibility tracking is one input among many; choose a dedicated platform if AI visibility is itself a line item someone owns.

How the pricing shapes what you can actually track

None of these tools price on traffic the way a web analytics tool does. Most scale by the number of prompts tracked and the number of models covered, with per-brand or per-dashboard multipliers on top for agencies and multi-brand accounts. Goodie, Rankscale and Scrunch publish tiered monthly plans; Otterly.AI and Trakkr do the same at a lower entry point aimed at small teams. Profound and Brandlight sell mainly on quote-based enterprise contracts, and Peec AI does not publish figures at all. Whatever the model, ask what happens to your historical data if you outgrow a tier mid-contract — prompt history is the asset you are building, and losing it on an upgrade defeats the point of tracking trends over time.

A shortlist by situation

• You already pay for a full SEO suite and want one more report, not a new subscription. Look at Ahrefs Brand Radar if you're on Ahrefs, or the AI Search add-on inside SE Ranking.
• You're a small team and want the cheapest way to see if AI answers mention you at all. Otterly.AI's entry tier and Trakkr's Growth plan are built for this.
• You need the broadest model coverage, including non-US assistants. Rankscale and Trakkr track the most engines.
• You want tracking tied to whether it actually drives traffic, not just visibility scores. Trakkr's Google Analytics attribution is the only tool here doing this directly.
• You want concrete content and schema guidance alongside the tracking, not just a dashboard. Goodie and Scrunch both pair monitoring with optimization recommendations.
• You manage several brands or regions from one seat. Brandlight's multi-brand HQ view and Rankscale's dashboard-per-brand pricing are built for this.
• You're an agency pitching AI visibility as a new service line. Goodie sells a separate agency tier with per-pitch prompt workspaces.

Questions to ask in a trial

1. How many prompts does the plan include, and were they written by us or generated by the vendor?
2. How often does the tool re-run tracked prompts — daily, weekly, on demand?
3. Can we see the raw AI responses behind a "citation," or only the aggregated score?
4. Does the tool distinguish a mention from a linked citation?
5. What happens to accumulated history if we downgrade or cancel?
6. Is competitor tracking by name included, or a separate line item?

Common mistakes

Treating one vendor's visibility percentage as an external fact rather than that vendor's sampled estimate is the most common error — it will not match a different tool's number for the same brand and prompt set, and that is expected, not a bug. A second is buying broad model coverage nobody on the team looks at; a report across nine engines that only two matter to your buyers is noise. A third is skipping the prompt design step: results are only as representative as the questions you track, so a handful of generic industry prompts will tell you less than twenty written the way your actual customers ask.

Two comparisons dig into specific pairs from this category: Otterly.AI vs Profound and Brandlight vs Peec AI. See every tool in this category for the full list.