AI Visibility Checker: Test Your Brand in ChatGPT and Gemini

An AI visibility checker sends buyer-style prompts to assistants such as ChatGPT and Gemini, then records whether your brand appears in the answer, which sources the answer cites and how often competitors appear instead. Free checkers run a few prompts on demand. Paid platforms track hundreds of prompts on a schedule across ChatGPT, Gemini, Perplexity, Claude, Copilot and Google AI Overviews.

Consider a head of security at a 2,000-person company who asks ChatGPT for the best cloud security posture tools for a multi-cloud estate. The answer names four vendors and cites a review site, two Reddit threads and a comparison article. If you are not one of the four, you missed the shortlist, and none of your analytics recorded it. This is the core problem of LLM visibility. The buying conversation happens where you can't see it without a dedicated tool. This guide, updated in October 2026, compares the main AI visibility checker options, including free one-off scans and enterprise platforms. It covers what each one measures, how it collects answers and where its data runs out.

What an AI visibility checker measures

Every checker tries to answer two questions: how often and how favourably AI assistants mention your brand for the prompts your buyers type, and which sources those assistants rely on. Most tools report the metrics below under slightly different names.

Not every product sold as an AI visibility tool measures all of this. The market splits into five categories, and confusing them is the most common buying mistake.

How we evaluated AI visibility checker software

We scored each AI visibility checker against five weighted criteria, using vendor documentation, published pricing and verified G2 reviews current as of October 2026.

1. Engine coverage and collection method (25%): which assistants are tracked, and whether answers come from APIs, browser sessions or panels.
2. Metric depth (25%): mentions, citations with source labels, share of voice, sentiment, position and AI traffic attribution.
3. Data quality and refresh (20%): how often data updates, and how the tool handles answer volatility and regional variance.
4. Actionability and integrations (15%): GA4, Search Console, CMS, Slack, BI tools, API and MCP access, plus any route from insight to fix.
5. Pricing transparency and fit (15%): billing model, entry price, trial or free tier, and what scales the bill.

This review compares documented capabilities. We did not run the same prompts through every tool ourselves. The testing protocol further down gives you fixed conditions (same prompts, dates, markets, competitors and engines) for a head-to-head trial during vendor evaluations.

Collection methods compared

Data quality limits to plan for

• Prompt volatility: language models sample their output, so the same prompt can name different brands on consecutive runs. Run each prompt several times and report a rate instead of a yes or no.
• Freshness: a weekly refresh can miss a competitor launch for up to seven days; daily data is noisier but faster.
• Regional variance: Gemini and AI Overviews answer differently by country and language, so set locales explicitly.
• Model updates: a model release can shift every metric overnight; annotate those dates before reading trends.
• Hallucinations: assistants can attach wrong pricing or features to your brand, and that only shows up when someone reads the answer text.

Best AI visibility checker tools compared

The best AI visibility checker for ChatGPT and Gemini depends on whether you need a self-serve tracker, an add-on to an existing SEO suite, or a managed program that also changes the answers.

Tellr

What it is: a premium earned-visibility agency running a managed program on its own platform, covering Reddit, content built for AI search, answer visibility tracking and paid-media creative.

How it measures: Tellr tracks the category's queries weekly on Google, recording organic results, the AI Overview, the discussions block and every domain each one cites. Its content is written to be quoted by ChatGPT, Perplexity, Gemini, Claude and AI Overviews, and the measurement steers that work.

Metrics: weekly citation share labelled as your site, competitor, Reddit, social, review sites or references, with week-over-week movement. It also reports Reddit threads found, replies placed and whether each is still live, plus articles shipped and where they rank and get cited. Tellr does not have a G2 rating yet.

Strengths

• Publishes directly to WordPress and offers API access.
• The "Tellr for Claude" MCP server lets a team query its program in plain language.
• Every draft is checked against a brand brief and claim guardrails before the approval gate.
• It keeps an audit trail of what was placed where, and offers takedown support.

Fit: teams below roughly 200 employees or a $10k monthly marketing budget, or those wanting a dashboard to operate themselves, are better served by a self-serve tracker.

Profound

What it is: an enterprise AI search visibility platform the team runs itself. Mixing API, browser-session and panel collection helps it approximate what real users see.

Metrics: mentions, citations, share of voice, sentiment, position, AI referral traffic and AI crawler activity, with the core Profound Index updated weekly.

Pricing: the 7-day trial includes 50 prompts per day across ChatGPT, Gemini and AI Overviews; agencies get credit-based plans.

What reviewers like

• Reviewers repeatedly credit its prompt tracking, citation analysis and competitor benchmarking.
• It integrates with GA4, Search Console, WordPress, Sanity, Slack and BI tools, and offers an API and an MCP server.

Common complaints

• Pricing is the top complaint, and lower tiers restrict history, coverage and API access.
• The learning curve is steep, and the tool explains too little about why scores move.
• "Average Position Rank" results sometimes show generic non-brand entries, and some want wider country coverage.

Who should not buy it: small teams without an analyst to turn the data into work.

Rating: 4.6/5 on G2 from 1,124 reviews as of October 2026.

Semrush AI Visibility Toolkit

What it is: an AI visibility add-on inside the Semrush platform.

Metrics: mentions, citations, share of voice and position. Sentiment is inconsistently documented, and AI referral traffic is not tracked directly.

Pricing: on top of the base fee, $45/month per extra user and $60/month per 50 extra prompts. Semrush One bundles run $199, $299 and $549/month, and sources indicate no free trial.

Pros

• Sits next to the keyword, audit and rank data you may already pay for.
• Integrates with GA4, Search Console, WordPress, an API and an MCP server.

Cons

• Reviewers cite limited regional, language and engine depth for global brands.
• Add-ons for domains, prompts and seats push the bill up quickly.

Who should not buy it: multilingual enterprises that need deep competitor and persona analysis.

Rating: 4.5/5 on G2 from 3,945 reviews as of October 2026, for Semrush overall rather than the toolkit alone.

AthenaHQ

What it is: a self-serve AI visibility and GEO platform built by engineers from Google Search and DeepMind.

Metrics: mentions, citations, share of voice, sentiment, position and AI referral traffic, refreshed daily.

Pricing: credit-based tiers, including a permanent free Essential plan; enterprise pricing is a custom quote.

What reviewers like

• Reviewers rate the Action Center highly for pointing to specific content gaps.
• Reviewers in retail and real estate value its regional, multi-market segmentation.
• It integrates with GA4, Search Console, WordPress, Shopify, Webflow, Slack, Looker Studio, Tableau and Power BI, and offers an API and MCP.

Common complaints

• The prompt library has no industry templates, so tracking starts from scratch.
• Credits are hard to budget, and lower tiers lock features such as the Recommendation Engine.
• Multi-brand management lacks a consolidated view, and citation rate versus mention rate needs clearer definitions.

Who should not buy it: finance teams that need a fixed, predictable annual cost.

Rating: 5.0/5 on G2 from 48 reviews as of October 2026; the small review count makes the score less settled than Profound's or Semrush's.

Other tools worth a look

• SE Ranking: named best overall by one recent roundup; tracks ChatGPT, Gemini and AI Overviews with mention frequency, link placements, competitor benchmarking and citation analysis.
• Peec AI: roundups recommend it as a cheap, simple option.
• Promptwatch: scrapes the live ChatGPT and Gemini apps instead of relying only on API responses; suggested for small businesses wanting daily tracking.
• Dageno AI: prompt-level tracking with sentiment, share of voice and attribution of visibility changes.
• Geoptie: suggested for agencies that want visibility tracking plus content creation.

For a wider look at assistant-level trackers, see our guide to tools that track LLM visibility.

Free and online AI visibility checkers

The free checkers run in the browser with no software to install. They give a good first read on ChatGPT and Gemini, but they won't measure you over time.

Ahrefs, Birdeye, Arobis and Omnia also publish browser-based checkers that need only a brand name or domain. Treat any single free scan as a snapshot, because one run of one prompt cannot separate a real gap from sampling noise. These tools suit a small team or a quick sanity check before a vendor conversation. An enterprise competing on dozens of category prompts will outgrow them within a week.

How to test your brand in ChatGPT and Gemini

Build a fixed prompt set that mirrors the buying journey, run it repeatedly under identical conditions, and read the cited sources as well as the mentions. Our guide on how to measure whether AI answers mention you covers the tracking side in more depth.

Design the prompt set

Weight the set toward non-branded category and problem prompts. Branded prompts almost always mention you and inflate the score.

Run a controlled test

1. Fix 50 to 150 prompts, the engines (at minimum ChatGPT, Gemini and AI Overviews), the markets and a competitor set of four to six brands.
2. Run every prompt at least three times per engine within the same week, logged out, with location set.
3. Record the mention, position, cited URLs and the exact sentence about your brand.
4. Repeat on the same weekday each week and annotate model releases.

For example, 100 prompts × 3 engines × 3 runs gives 900 answers. If your brand appears in 270 of them, your mention rate is 30%. If a competitor appears in 450, it holds 50% and far more of the conversation, and the cited-source list shows where that lead comes from.

Act on the results

1. Find missing prompts: list the category and problem prompts where competitors appear and you don't.
2. Inspect cited sources: sort citations into your site, competitors, Reddit, review sites and publications. That split tells you where to work.
3. Close topical gaps: publish comparison pages, alternatives pages and answer-shaped articles that state facts plainly enough to be quoted.
4. Strengthen off-site mentions: earn presence in the Reddit threads, review profiles and articles the engines already cite.
5. Correct errors: fix outdated pricing or features on your own pages and on the third-party profiles the model draws from.
6. Re-test: run the same prompt set four to eight weeks later, since citation changes rarely appear within days.

How Tellr fits an AI visibility program

Tellr acts on what your AI visibility checker finds, so marketing does not have to staff that work separately. Week one produces a category map of the threads, queries and AI answers that matter, week two agrees the brief and guardrails, and the program then runs weekly with a monthly review. Many enterprises keep a self-serve tracker for assistant-level prompt data and use Tellr to change the sources those assistants cite.

• Reddit: subreddit mapping, a daily thread radar and guideline-checked replies behind an approval gate.
• Content: comparison pages, reviews and answer-shaped articles published to your CMS.
• Paid media: category ad intelligence and ready-to-run creative.
• Read-only viewer roles let legal and brand teams see every placement.
• Tellr does not buy upvotes, use aged accounts or post fake reviews, so placements hold up to scrutiny.

Verdict: which AI visibility checker to choose

The right AI visibility checker depends on company size, existing stack and whether you need measurement alone or measurement plus execution.

• Enterprise brands: Profound or AthenaHQ for self-run tracking with SSO, audit trails and SOC 2; Tellr when the gap is execution across Reddit, content and AI answers.
• Agencies: Profound's credit-based agency plans or Geoptie for tracking plus content; check multi-brand handling first.
• B2B SaaS: weight comparison and problem-aware prompts, and pick a tool with citation source labels, since review sites and Reddit drive many SaaS answers.
• Ecommerce and retail: AthenaHQ, for its regional segmentation and Shopify integration.
• Local and small businesses: free checkers such as iSocialWeb and Indexly, then Peec AI or Promptwatch if daily data becomes worth paying for.
• Publishers: prioritise citation rate over mention rate, and pair a tracker with GA4 AI referral segmentation.
• Existing Semrush customers: the AI Visibility Toolkit at about $99/month per domain is the cheapest incremental step.

Whatever you choose, judge it on collection method, refresh rate and citation detail rather than a headline score, and run the same prompt set under the same conditions before you sign. An AI visibility checker tells you where buyers are not hearing your name. The pipeline gain comes from the pages, threads and citations you change afterwards.

FAQ