AI Visibility Tools: How to Choose One That Isn't Just Noise

Two years ago "AI visibility" was barely a software category. Now there are dozens of tools promising to tell you how ChatGPT, Gemini, Claude and Perplexity talk about your brand, and they range from a weekend project with a prompt list to enterprise platforms whose annual contracts run to six figures.

They all do roughly the same thing on the surface: send prompts to AI engines, read the answers, and report whether you showed up. The differences are underneath, in how they sample, what they measure, and whether the data leads anywhere useful.

This guide covers what these tools actually measure, the questions that separate a good one from a dashboard of noise, and how the main types compare.

Disclosure: Opinly is one of the tools in this category. It's described below on the same terms as the others, and where another type of tool is the better fit, this guide says so.

What an AI visibility tool actually does

Underneath every product in the category is the same loop:

You define a set of prompts, the questions your buyers might ask an AI ("best CRM for a small agency", "Notion vs Coda", "how do I track competitor pricing").
The tool runs those prompts against one or more AI engines, on a schedule.
It parses each answer for brand mentions, citations (the URLs the engine links to), position in the answer, and sometimes sentiment.
It aggregates the results into metrics like mention rate, share of voice against competitors, and most-cited sources.

That's it. Everything else is how well each step is done.

The metrics that matter

Mention rate. The share of runs in which your brand appears at all. This is the headline number and the one to baseline first.

Share of voice. Your mentions as a share of all brand mentions across the prompt set. More useful than mention rate on its own, because it tells you whether you're gaining on competitors or the whole category is just being mentioned more.

Position in the answer. Being the first recommendation in a list is not the same as being the fifth. Some tools track this, some don't.

Cited sources. Which URLs the engine links to when it answers. This is the most actionable metric in the category, because it tells you where models are getting their information, and therefore where you need to be present.

Sentiment and framing. Whether the answer describes you accurately. A mention that calls you "a basic tool for freelancers" when you sell to enterprise is a problem a mention rate won't show.

Six questions that separate good tools from noisy ones

1. How many times does it run each prompt?

AI answers are non-deterministic. Ask ChatGPT the same question twice and you can get two different lists. A tool that runs each prompt once a week and reports "you were mentioned" is reporting a coin flip.

Ask how many samples sit behind each data point, and whether the tool shows variance or just a single number. More runs cost the vendor more, which is why this is where cheap tools cut corners.

2. Which engines, and which versions?

ChatGPT with browsing behaves differently from ChatGPT without it. Google's AI Overviews and AI Mode are different surfaces. Check which engines are covered, whether the tool uses the consumer product or the API (they can give different answers), and how quickly it updates when a model changes.

3. Who writes the prompts?

Prompt selection decides everything downstream. A tool that only tracks prompts containing your brand name will flatter you, because of course ChatGPT mentions you when asked about you. The useful prompts are the unbranded, category-level ones your buyers actually type.

Good tools help you build a prompt set from real search demand and competitor positioning rather than leaving you with a blank text box.

4. Does it show you why?

A mention rate going down is a symptom. The cause is usually in the cited sources: a competitor got into a comparison article you're missing from, a review site re-ranked, or your own page stopped being crawlable. Tools that surface the sources behind answers give you something to do. Tools that only show the score give you something to worry about.

5. Does it connect to the rest of your SEO data?

GEO doesn't happen in a vacuum. The pages AI engines cite are usually pages that rank, and the fix for a visibility gap is often a page you need to write or a technical issue you need to resolve. A standalone AI visibility dashboard means exporting data into a separate workflow every time you want to act on it.

6. Can you get the data out?

Check for exports, an API, or an MCP server. If you want an assistant or your own reporting to use the data, a closed dashboard is a dead end.

The main types of tool

The category splits into a few groups, and the right one depends more on what you already use than on feature lists.

Dedicated AI visibility platforms. Profound, Peec AI and Athena HQ are among the better-known names built specifically for this job. They focus on prompt tracking, share of voice and citation analysis, and tend to go deepest on the AI side. Profound is aimed primarily at larger brands: as of October 2026 it sells brands a free trial and custom-priced Enterprise plans, with its AWS Marketplace listing at $100,000 a year. Peec AI and Athena HQ publish self-serve pricing (Peec AI from $95 a month, Athena HQ with a free tier and a $295 a month Starter plan) and are more commonly used by startups, mid-market teams and agencies. The trade-off is that AI visibility is all they do, so acting on what you find happens somewhere else.

AI modules inside established SEO suites. Semrush (its AI Visibility Toolkit, a $99 a month add-on) and SE Ranking (its AI Search toolkit and AI Results Tracker) both now include AI search visibility features alongside their existing rank tracking and keyword data. If you already pay for one of these, start there before buying anything new. They're convenient, but AI tracking is one feature among hundreds, so check the sampling depth and engine coverage against the questions above.

Lightweight trackers. Smaller tools such as LLMrefs (around $79 a month, keyword-based, with a guaranteed weekly refresh) and a growing number of indie products offer prompt tracking at lower price points. Good for getting a baseline cheaply. Check sample sizes and refresh frequency carefully.

Platforms that close the loop. A smaller group tracks AI visibility and also helps you act on it. Opinly sits here: AI-answer visibility across ChatGPT, Gemini and Claude, in the same workspace as competitor tracking, keyword and backlink gaps, site audits, and the content tools to draft and publish against what you find. The same data is available through the Opinly MCP, so you can ask Claude or ChatGPT which competitors are taking your AI mentions and have it draft the page that addresses it. Strongest if your bottleneck is turning visibility data into published work.

How to pick

You already pay for Semrush or SE Ranking: try their AI visibility features first. Upgrade to a dedicated tool only if you hit their limits.
You're a large brand with a dedicated GEO budget and team: a dedicated enterprise platform will give you the most depth.
You just want a number to report: a lightweight tracker is fine. Make sure the sampling is honest.
You want visibility data to turn into content and fixes without switching tools: look for a platform that combines AI tracking with SEO data and publishing.

Getting a useful baseline in a week

Whatever you choose, the first week should look the same:

Write 20 to 50 unbranded prompts your buyers would plausibly ask, across "best tool for", "X vs Y" and "how do I" formats.
Add three to five direct competitors.
Run the prompts across at least ChatGPT, Gemini and one other engine, enough times to see variance.
Record mention rate and share of voice for you and each competitor.
Pull the list of sources cited most often. That list is your first content and outreach plan.

Do that before changing anything, so you can tell later whether the work moved the numbers. If you're still deciding how much of this is new work versus SEO you already do, start with AEO vs GEO vs SEO.

Frequently asked questions

What is an AI visibility tool? Software that runs prompts against AI engines like ChatGPT, Gemini and Claude on a schedule and reports how often, where and how your brand appears in their answers, compared with competitors.

Can I track AI visibility for free? Manually, yes: run your prompts in each engine and log the results in a spreadsheet. It works for a handful of prompts, but answers vary run to run, so you'll need many repeated samples before the numbers mean much. That's the part tools automate.

How is this different from rank tracking? Rank tracking checks a position in a stable list of links. AI visibility tracking samples generated answers that change from run to run, so it reports rates and shares rather than a single position.

How often should prompts be tracked? Weekly is a sensible minimum for most brands, with multiple runs per prompt each time. Daily tracking is useful around launches or after significant content changes.

Will improving SEO improve AI visibility? Often, yes. Engines that search the web before answering lean on pages that rank and can be crawled. But off-site mentions in reviews, comparisons and communities matter more for AI answers than for classic rankings, so SEO alone usually isn't enough.