Best Tools to Track Brand Visibility in ChatGPT (2026)

Questions this guide answers

What is the best tool to track brand mentions in ChatGPT?
How do I monitor my brand visibility in ChatGPT and Perplexity?
Which tools track ChatGPT brand visibility?
How can I measure share of voice in AI search?
What's the difference between ChatGPT brand mention tools?

Direct answer

For tracking brand visibility in ChatGPT and Perplexity as of September 2026, the most useful tools are: Otterly.AI for the cheapest plan that includes both engines, Peec AI for transparent mid-market pricing (Perplexity is an add-on on its self-serve plans), Scrunch for a mid-priced plan with both engines, Profound for enterprise breadth across up to 9 engines, Ahrefs Brand Radar and Semrush (now part of Adobe) for teams already on those suites, and SolCrys when the measurement needs to drive a governed, human-approved content fix and a re-test. None of them gives you a single perfect number. Every tool samples a moving target, and the right choice depends on which engines, which prompts, and how often.

The measurement problem most "ChatGPT checkers" hide

Plenty of tools marketed as "ChatGPT brand trackers" run a single prompt once. You type your brand, the tool asks ChatGPT, and you see one answer. That is not measurement. That is a screenshot.

Four sources of variance make single-prompt checks misleading:

Sampling noise. The same prompt returns different answers from run to run. SparkToro's January 2026 study (2,961 runs of 12 prompts) found less than a 1-in-100 chance that two runs return the same brand list, and less than 1 in 1,000 that they return it in the same order. A one-shot tool can't tell you which side of that distribution you landed on.
Model churn. The model behind ChatGPT keeps changing. OpenAI retired GPT-4o and GPT-5 from ChatGPT on Feb. 13, 2026 (OpenAI), made GPT-5.5 Instant the default in May, and moved Free and Go users to GPT-5.6 Luna in August (ChatGPT release notes). ChatGPT also decides per question whether to search the web. The answer your buyer sees depends on which model and path handled it, and no tracker sees that routing.
Location. Web results can be localized, so the same prompt asked from two countries can cite different sources. Measure from the markets your buyers are in.
Retrieval changes. Engines change what they cite without notice. In the week of Aug. 10, 2026, ChatGPT all but stopped citing Reddit (from 3.83% to 0.52% of citations, per trackers reported by Search Engine Journal), while Perplexity and Google's AI surfaces were largely unaffected. A brand whose ChatGPT visibility rode on Reddit threads saw it move within days without changing anything.

Why a schedule beats a screenshot

This is why a real ChatGPT visibility tool runs a prompt set on a schedule, not a single prompt on demand. SparkToro's conclusion from its study was that visibility percentage across prompts run multiple times is a reasonable metric, and ranking position is not (SparkToro). You want repetition, and a record of which sources were cited on each run.

We cover the same problem from a different angle in Why Two AEO Platforms Can Disagree on the Same Brand.

ChatGPT with search vs. ChatGPT from memory: the distinction most articles get wrong

Before comparing tools, fix this in your head. "ChatGPT" is not one answer path. As of September 2026 there are at least three, and a brand can be visible in one and invisible in another.

Surface	What it actually is	Live web retrieval?	Cites URLs?
ChatGPT with search (ChatGPT decides a question needs the web, or the user turns search on)	Live retrieval from OpenAI's search crawler (OAI-SearchBot) and partner search providers, written up by the current ChatGPT model	Yes	Yes, linked in the answer
ChatGPT from model memory	The model's trained knowledge, frozen at its training cutoff	No	No (the model can invent URLs)
ChatGPT-User fetches	ChatGPT reads a specific page in real time because a user asked about it or a task needs it	Yes, but only the page requested	Yes (the page itself)

What the three paths mean for tracking

The brand-visibility implication: if a tool only measures "did ChatGPT mention you," ask which ChatGPT. Visibility in memory-based answers reflects what the model learned in training. Visibility in search answers reflects which pages ChatGPT's retrieval finds and trusts, including whether OAI-SearchBot can reach your site; OpenAI says sites that opt out of it won't be shown in ChatGPT search answers (OpenAI). Both matter; they are not the same metric.

Perplexity is simpler: every answer includes citations to the pages it retrieved (Perplexity). Free users get Perplexity's default search; Pro and Max subscribers can choose among models from OpenAI, Google, Anthropic, and others alongside Perplexity's own Sonar (Perplexity). The model behind the synthesis varies by account; the source-layer game is the same.

For the long version of the ChatGPT crawler distinction, see Optimize for ChatGPT Search and Optimize for Perplexity.

7-tool comparison: ChatGPT and Perplexity coverage (September 2026)

We compared seven tools that B2B teams commonly shortlist for ChatGPT and Perplexity tracking. The columns are scoped to those two engines plus what each tool does beyond tracking. Every vendor row was checked against the vendor's own pricing and product pages in September 2026. Prices and plan contents change often, so treat this as orientation and confirm before you buy.

Tool	ChatGPT and Perplexity	Other engines	Cited sources	Sentiment	Beyond tracking	Free option	Entry price (Sept. 2026)
SolCrys	ChatGPT on every plan (Free runs 10 prompts on demand); Perplexity on Pro and Custom only	Gemini and Google AI Overviews from Starter; Claude on Pro and Custom. Pro runs any 4 of 5, Custom all 5	Yes, by domain and URL, grouped as Owned, Competitor, Editorial, UGC, or Other	Recommendation Score (0–100 per answer, tied to quoted text); sentiment in prompt drill-downs	Deep Analysis, Content Audit, Action Hub (human-approved), Answer Accuracy (Pro and Custom), MCP on paid plans	Free workspace: 10 ChatGPT prompts and 1 content audit; email verification, no credit card	Starter $99/mo; Pro $399/mo; Custom scoped
Profound	ChatGPT on every plan; Perplexity on Enterprise and agency client workspaces, not the trial	Up to 9 engines on Enterprise, including Google AI Overviews and AI Mode, Gemini, Copilot, Claude, DeepSeek, and Exa	Yes	Yes	Agents (reusable workflows, paid in credits), Context Manager, Opportunities	Free 7-day trial: 50 fixed prompts daily on ChatGPT, Gemini, and AI Overviews	Brands: Enterprise, custom pricing. Agencies: $399/mo per client workspace on Agency Growth (base fee not shown on the page)
Peec AI	ChatGPT included; Perplexity is an add-on on self-serve plans ($35/mo on Starter) and included on Enterprise	Choose 3 of ChatGPT, AI Mode, AI Overviews, Copilot, Gemini, and Naver AI; more on Enterprise	Yes, by domain and URL, with citation share	Yes	Recommended actions and agent actions; MCP on all plans, API from Pro	Free trial (7 days, per Peec's comparison page); no free tier	Starter $95/mo, or $80/mo billed annually (US pricing; 50 prompts, daily)
Otterly.AI	Both included on every plan	Google AI Overviews and Copilot included; AI Mode, Gemini, and Claude as add-ons	Yes (link citation analysis)	Yes (Net Sentiment Score)	GEO audits and weekly recommendations; API and MCP from Standard	7-day free trial, no credit card	Lite $29/mo, or $25/mo billed annually (15 prompts, daily)
Ahrefs Brand Radar	Both, in the prebuilt AI Visibility Index (refreshed monthly) and in Custom Prompts (daily, weekly, or monthly)	AI Overviews and AI Mode, Gemini, Copilot; Claude through Custom Prompts	Yes (citations and cited-pages reports)	Not listed as a native Brand Radar metric	Letaido marketing agent; Content Kit add-on from $99/mo	No trial; a free AI visibility check tool	Custom Prompts from $50/mo; AI Visibility Index $199/mo per platform or $699/mo for all; sold standalone
Semrush (an Adobe company since April 2026)	ChatGPT in daily prompt tracking; Perplexity only in weekly Brand Performance reports	Google AI Overviews, AI Mode, and Gemini	Yes (pages cited in tracked answers)	Yes (AI brand sentiment)	AI strategy recommendations, AI-ready Site Audit; content optimization from Pro+	7-day trial on Semrush One Starter and Pro+; none on the standalone AI Visibility Toolkit	AI Visibility Toolkit $99/mo per domain (25 prompts); Semrush One Starter $199/mo (50 prompts)
Scrunch	Both included on Core	Google AI Overviews and Copilot on Core; up to 9 on Enterprise, adding Claude, Gemini, AI Mode, Meta AI, and Grok	Yes	Yes	Page optimizations (1 a month on Core) and basic content generation; Agent Experience Platform on Enterprise	7-day free trial	Core $250/mo (125 prompts); Enterprise custom

Reading the table

Cited-source capture is the column that separates real trackers from screenshot tools. Some "ChatGPT mention" products return only the answer text, not the URLs the answer cited. That gap matters because ChatGPT search answers and Perplexity both list sources, and the sources are where your fix work happens. If a tracker can't show you which domains the engines lean on in your category, you can't act on it.

Marketed coverage and actual capture can diverge, for any tool. That includes SolCrys when a prompt set is too small to be representative. Before you rely on a tracker, hand-run 10 of your own prompts and compare. Prompt-set size and run frequency matter more than the vendor logo.

Most trackers now sell something beyond tracking. Profound has agents, Peec AI has recommended and agent actions, Otterly.AI has GEO audits and recommendations, Scrunch has page optimizations, and Ahrefs has its Letaido agent. "Dashboard only" is no longer the dividing line. The useful questions are who approves a change before it ships, and whether the tool reruns the same prompts afterward to check whether it worked.

Bias disclosure. We are SolCrys. We've kept our row specific and verifiable, and named where competitors are genuinely stronger: Profound's enterprise depth, Peec AI's published pricing and mid-market polish, Otterly.AI's low entry price, and the Ahrefs and Semrush integrations for teams already on those suites.

DIY 5-prompt audit you can run in the next 10 minutes

Before you buy any of these tools, run this audit yourself. In 10 minutes it will tell you whether your brand has the kind of visibility problem that needs a tracker.

Open ChatGPT and Perplexity (free accounts are fine) in a fresh chat with memory and personalization off. Run each of these 5 prompts in both engines, substituting your category, brand, persona, and a real competitor. The examples use a neutral category so you can see the pattern.

"Best [category] for [persona] in 2026, with pros and cons of each option." Example: "Best cloud data warehouses for a 50-person analytics team in 2026, with pros and cons of each option." This is the canonical category-discovery prompt. If you're not among the first 5 brands named, you have a category-visibility problem.
"[Your brand] vs. [closest competitor]: which is better for [use case]?" Example: "Snowflake vs. Databricks: which is better for a team that mostly runs SQL dashboards?" This tests whether you or your competitor controls the comparison narrative.
"[Closest competitor] alternatives: what are 5 other tools to consider?" Example: "Databricks alternatives: what are 5 other platforms to consider?" You want your own brand in that list. If you're absent, the engine doesn't put you in that competitor's competitive set.
"What does [your brand] do, and who is it for?" This tests what the engine already knows about you. If the answer is wrong, outdated, or generic, your About page, homepage, and the third-party pages that describe you aren't doing their job.
"Show me the most recent independent review of [your brand]." This tests source-layer trust. If the engine returns nothing, or only your own pages, your third-party coverage is too thin.

Record the results, then rerun

For each prompt in each engine (10 runs), capture: (a) was your brand mentioned, (b) was it recommended or just listed, (c) which URLs were cited, and (d) did the answer get any fact wrong about you. Put the results in a spreadsheet; that's your baseline.

Then run the same 5 prompts again 24 hours later. If the answers shift, you've confirmed the variance problem at the top of this article, and made the case for a scheduled tracker over a one-shot tool.

To run a version of this on your own brand without the spreadsheet, the SolCrys free workspace runs 10 buyer-intent prompts on ChatGPT (email verification, no credit card).

Why mention rate alone is insufficient

A common mistake when teams start tracking ChatGPT visibility is to fixate on one "mention rate" and treat it like a brand-health KPI. It isn't. A mature program reads at least four metrics together:

Metric	What it answers	Why it's not enough on its own
Mention rate across repeated runs	How often does the engine name your brand?	Doesn't tell you whether you were recommended or buried in a list of 8
Position in the answer	Were you named first, or as the top pick?	Useful color, but unstable: the same list in the same order came up less than once in 1,000 runs in SparkToro's study, so don't treat it as a rank
Citation URL rate	Which of your URLs did the engine cite as a source?	The traffic-driving metric, but only meaningful with engine context
Favorability	Was the language about you a recommendation, neutral, or a warning?	Critical and often ignored; see the scenario below

Illustrative scenario: same mention rate, different outcome

Illustrative scenario only. A mid-market data-warehouse vendor is named in 31% of ChatGPT runs and 29% of Perplexity runs on the same 40 prompts. On ChatGPT, most mentions come with a caveat about pricing complexity; on Perplexity, the brand is usually the recommended pick for SQL-heavy teams. Similar mention rates, very different effect on a buyer reading the answer. Track mention rate alone and you miss the framing problem entirely.

Two trackers that produce different mention rates for the same brand usually aren't disagreeing about reality; they're sampling different prompts, engines, or days. We walk through the math in Why Two AEO Platforms Can Disagree.

How to choose between these 7 tools

Five rough buyer patterns:

You already pay for Ahrefs or Semrush and want AI visibility in the same SEO workflow. → Ahrefs Brand Radar or Semrush's AI tools. Lowest friction, but check engine coverage (Semrush's daily prompt tracking doesn't include Perplexity) and verify capture against a hand-run control set before relying on the numbers.
You're a mid-market team that wants published pricing and a polished dashboard in week 1. → Peec AI or Scrunch. On Peec AI's self-serve plans, budget for Perplexity as an add-on.
You're starting from zero and need to prove the channel is real before any procurement cycle. → Otterly.AI Lite ($29/mo, ChatGPT and Perplexity included) or the SolCrys free workspace (ChatGPT only). Both are low-cost-to-free entry points.
You're an enterprise brand and AI visibility is board-level. → Profound, which tracks up to 9 engines on Enterprise, or Brandlight, which is sales-led and doesn't publish pricing or a formal engine list. Both require a demo cycle.
You've measured, and the report sits on a shelf because nobody owns the fix. → SolCrys. Others ship execution features too; SolCrys's approach is a governed loop, Measure → Diagnose → Execute → Verify. Deep Analysis and Content Audit find the fix, the Action Hub tracks it through your team's approval (SolCrys never publishes for you), and the same frozen prompt set is rerun to verify. (Bias acknowledged.)

If none of these fits

If your situation doesn't fit any of those, run the DIY audit above, then pilot two tools for 30 days (one dashboard, one with execution) before you sign an annual contract. AI Brand Visibility Monitoring walks through the pilot design.

Run the audit before you buy a tracker

The cheapest way to find out whether you need any of the 7 tools above is the SolCrys free workspace, which runs 10 buyer-intent prompts on ChatGPT plus 1 content audit, with email verification and no credit card. It returns your ChatGPT mention rate, share of voice against competitors, and the sources ChatGPT cited. Use it to evaluate us, or as a baseline for evaluating Profound, Peec AI, or Otterly.AI. Either way, you'll be a better buyer on the second vendor call.

Vendor pricing, engine coverage, and free options were checked on each vendor's own website in September 2026. Treat them as orientation, not quotes.

Sources

FAQ

How often does ChatGPT refresh what it knows about my brand?

It depends on the path. When ChatGPT searches the web, it can use a page once OpenAI's search crawler (OAI-SearchBot) has reached it, so make sure robots.txt allows it; OpenAI says robots.txt changes take about 24 hours to register. When ChatGPT answers from model memory, new facts arrive only with a new model, and OpenAI changed ChatGPT's default model several times in 2026. A page you publish today can appear in search answers soon after it's crawled, and in memory-based answers only if a later model learns it.

Does ChatGPT with search differ from ChatGPT answering from memory?

Yes. With search, ChatGPT retrieves live pages and cites them. From memory, it answers from training data, doesn't browse, and can invent URLs. ChatGPT decides per question which path to take, and users can also turn search on. A tracker should record the cited sources for each answer so you can tell which path produced it.

What's the difference between Perplexity and Perplexity Pro for brand tracking?

Both build answers from live web retrieval and cite their sources. Pro and Max subscribers can choose among models from several labs and run more Pro Searches; free users get a limited number of Pro Searches and can't pick the model. Most trackers, SolCrys included, measure one consistent Perplexity configuration. If paid users dominate your buyer mix, spot-check their answers by hand.

Can I track ChatGPT brand mentions without paying for a tool?

For a small prompt set (5–25 prompts, weekly), yes: the DIY audit above plus a spreadsheet works. The bottleneck is consistency. Most teams run the audit once, see the result, and never run it again, so they have no baseline to detect change against. The reason to pay for a tool is the scheduled rerun plus the cited-source capture, not the single snapshot.

Does Perplexity show different results in different countries?

It can. Perplexity searches the web in real time and results can be localized, so the same prompt can return different sources in the US and the EU. Pick the markets that matter to your buyers and measure from those; in SolCrys, each workspace has its own measurement country.

Do I need a separate tracker for ChatGPT and one for Perplexity?

No, but check the plan. Every tool in the table covers both engines somewhere, though not always at the entry tier: Perplexity is an add-on on Peec AI's self-serve plans, weekly-only on Semrush, Enterprise- or agency-only on Profound, and on Pro or Custom at SolCrys. The reason to use more than one tool is cross-checking (see Why Two AEO Platforms Can Disagree), not engine coverage.

Is "AI brand visibility" the same as "AI share of voice"?

Closely related but not identical. AI brand visibility usually means "does the engine say your name at all on relevant prompts" (mention rate). AI share of voice is the percentage of total relevant answer space your brand occupies versus competitors. A brand can have high visibility and low share of voice (mentioned but always buried), or the reverse. The simplest way to think about it: visibility is presence, share of voice is dominance.

Free ChatGPT visibility check

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Best Tools to Track Brand Visibility in ChatGPT and Perplexity (2026)