AI visibility tools compared (2026): what to look for

An AI visibility tool, also called a GEO tool or AI search monitoring tool, asks AI assistants such as ChatGPT, Gemini, Claude, Perplexity and Grok the questions your customers ask, records which brands and websites appear in the answers, and tracks the results over time. This guide covers the criteria that matter when you compare these tools, so you can judge every vendor, including us, on the same terms.

Why are AI visibility tools hard to compare?

Most products in this category are only a few years old and change quickly. Vendors use different words for similar things ("prompts", "queries" or "questions"; "share of voice" or "share of mentions"), and the same word can hide different calculations. "Visibility" might mean the share of answers that mention you in one tool and a weighted score in another.

Two tools can also report different numbers for the same brand without either being wrong. They may ask different questions, of different assistants, in different ways, on different days. That is why the most useful question to ask any vendor is not "what is my score?" but "how exactly is this number produced?"

What kinds of tools are there?

Broadly, the market has two groups, plus the do-it-yourself option:

• SEO suites that added AI visibility features. Ahrefs and Semrush are well-known examples. The advantage is having search data (keywords, backlinks, traffic) and AI data in one place. Check how deep the AI part goes compared with the rest of the suite.
• Dedicated AI visibility platforms. Peec AI, Otterly.AI, Profound, AthenaHQ and Scrunch AI are among the names buyers often shortlist, and Geovium belongs to this group too. These products are built around questions, assistants and competitors. They differ mainly in which assistants they cover, how they collect answers and how far they go beyond monitoring.
• Manual checks. Asking assistants yourself and logging the answers in a spreadsheet is a fine way to get a first impression. It does not scale, and because answers vary, a handful of checks is easy to over-interpret.

Feature lists in this market change often. Verify current coverage, limits and pricing on each vendor's own site before you decide; this guide deliberately does not score individual vendors.

Which criteria matter most?

The sections below go through the criteria that differ most between tools.

Which AI assistants does the tool cover?

Start with where your customers ask, not with the longest list. The five assistants most tools cover are ChatGPT, Gemini, Claude, Perplexity and Grok; some also cover search features such as Google's AI Overviews and AI Mode, or assistants such as Microsoft Copilot. An assistant your buyers never use adds noise and cost rather than insight.

Also ask whether every assistant is measured the same way, and whether you can weight assistants by how much they matter to you. Geovium covers ChatGPT, Gemini, Claude, Perplexity and Grok, and lets each workspace weight them. It does not track Google AI Overviews, AI Mode or Copilot today, so if those are your priority, factor that in.

Does the tool measure answers with web search?

This is the criterion buyers most often overlook. An assistant can answer from its training knowledge or after searching the web, and the two can produce different brand lists; only searched answers cite live sources. Ask two things: does the tool turn web search on, and does it record for each answer whether a search actually ran?

The second question matters because some assistants decide for themselves. In our own test, Gemini searched the web in about 6 of 10 answers even with search enabled. A tool that does not record this cannot tell you whether a drop in visibility came from your brand or from the assistant searching less. Our article on answers with and without web search explains the effect in detail.

A related question is how answers are collected. Tools either call the providers' official APIs or collect answers from the consumer interfaces. APIs are repeatable and let the tool set language and location explicitly, but they do not reproduce a signed-in user's personal history. Consumer interfaces can be closer to one user's view, but depend on account state and interface changes. Neither approach is perfect; what matters is that the vendor tells you which one it uses. Geovium uses the official APIs, with web search on by default.

How often is the data refreshed?

For most brands, weekly scans are enough to follow trends. Daily scans help when you are actively changing content, launching a product or working in a fast-moving category. Frequency has a direct cost: every question sent to every assistant is a paid call, and searched answers add search fees.

Beyond frequency, ask whether you can start a scan on demand, how many answers each figure is based on, and how failed answers are handled. An outage that counts as "not mentioned" looks like a drop in visibility. Geovium scans weekly by default, daily if you prefer, and on demand; incomplete answers are left out of scores and reported separately as coverage and error rate.

Does it show which sources the assistants cite?

Citations tell you why an answer looks the way it does. A useful source report lists the cited sites with the share of answers citing each, shows how often your own website is cited, breaks this down by assistant, and compares it with the previous period. It should also separate real citations returned by the provider from web addresses the model simply wrote in its text, which can be outdated or invented. Our guide to cited sources covers how to read such a report.

How does it handle competitors?

Competitor numbers are only comparable if competitors are scored with the same method as your brand. Look for share of mentions (how often you are named when you or a tracked competitor is named), a per-question view of where competitors appear and you do not, and a way to discover brands that assistants recommend but you have not added yet. Geovium scores competitors with the same formula and suggests tracking brands that assistants recommend repeatedly but that are missing from your list.

Can you act on what it finds?

Monitoring shows where you stand; you still need to decide what to change. Tools tend to offer one of three levels:

1. Dashboards and raw answers that you interpret yourself.
2. Recommendations, ideally tied to specific questions and evidence.
3. A workflow: tasks with owners and priorities, content briefs, and a way to check whether the related questions improved afterwards.

Ask how recommendations are generated and whether you can trace each one back to the answers behind it. In Geovium, gaps become tasks with impact and effort scores, for example questions where competitors are mentioned and you are not, or answers that name you without your website. You can write a content brief from a task and compare the visibility score of the related questions 7 days before and after it is done.

How are these tools priced?

Prices change too often to quote, but the models are fairly stable. Common cost drivers are:

• the number of tracked questions (often called prompts);
• the number of answers or credits used, which multiplies questions by assistants and scan frequency;
• the number of brands, projects or workspaces;
• the number of user seats;
• an add-on to an existing SEO suite subscription;
• custom enterprise contracts.

To compare fairly, price the setup you would actually run: questions × assistants × scans per month × markets or languages. Check whether daily scans, extra assistants, extra competitors or extra markets change the price, and whether there is a trial. Current Geovium plans are on our pricing page.

How do you run a fair trial?

1. Write 20 to 50 questions your customers ask, in their own words and languages: category questions, comparisons and questions with constraints such as price, location or integrations.
2. Choose three to five competitors.
3. Load the same questions and competitors into every tool you are testing.
4. Let each tool run several scans, so you see trends rather than a single snapshot.
5. Open individual answers and check that the tool read them correctly: brand detection, list position and sources.
6. Judge whether the tool tells you what to do next, not only what happened.
7. Calculate the cost of the setup you would actually use.

Where does Geovium fit?

Geovium is a dedicated AI visibility platform. It asks your questions to ChatGPT, Gemini, Claude, Perplexity and Grok through their official APIs with web search on by default, records for each answer whether a search actually ran, and scores every answer from 0 to 100 with a documented formula (see our methodology). It compares you with competitors using the same formula, shows which sources the assistants cite, and turns gaps into tasks and content briefs. The product and the website are available in English and Turkish, and questions can be tied to a country, region or city.

It is not an SEO suite: you will still want a separate tool for keywords, backlinks and search traffic. The platform page lists what Geovium does today.

Frequently asked questions

What is an AI visibility tool?

An AI visibility tool repeatedly asks AI assistants the questions your customers ask and measures how often your brand is mentioned, in what position and with which sources, and how that compares with your competitors over time.

Do I still need an SEO tool if I use an AI visibility tool?

Usually yes. SEO tools measure rankings, keywords and backlinks in search engines, while AI visibility tools measure what assistants say. Assistants that search the web often rely on search results, so the two complement each other.

Why do two tools show different numbers for the same brand?

They ask different questions, of different assistants, in different ways, with or without web search, and they define their metrics differently. Compare trends within one tool rather than absolute numbers across tools.

How many questions should I track?

Enough to cover your main topics, comparisons and markets. A practical start is 20 to 50 questions written the way your customers ask them, expanded once you know which topics matter most.

Is daily tracking better than weekly tracking?

Not always. Daily scans catch changes sooner and give you more samples, but they cost more. Weekly scans are usually enough to follow trends; daily scans help during launches or active content work.