The best ChatGPT brand monitoring tools in 2026, with the accuracy caveat nobody mentions: which monitors cover ChatGPT, plus how to fix what it says.
Most people searching for ChatGPT brand monitoring want one thing: to see what ChatGPT says about their company and whether it is wrong. That is a real job, and a handful of tools do it. But it is only half the work, and the half that nobody sells you is the half that actually changes the answer. This post covers both, names the monitors that include ChatGPT as of June 2026, and is honest about the accuracy problem that quietly undermines every ChatGPT number in this category.
One disclosure first: Crawlytics published this post, and Crawlytics is not a ChatGPT brand monitor. It does not sample prompts or count your mentions. I will explain exactly where it fits (the fix-and-track side) and recommend dedicated monitors for the part it does not do. Verify current pricing on each vendor's own page before buying, since this market reprices constantly.
ChatGPT brand monitoring splits into two jobs that need two different kinds of tool, and conflating them is the most common mistake I see.
Job A: monitor what ChatGPT says about your brand. This is the prompt-sampling job. A tool runs prompts like "best project management software for agencies" against ChatGPT on a schedule, records whether you were mentioned, in what position, with what sentiment, and which sources ChatGPT cited. This answers "what does ChatGPT say about me, and how often does it pick me over competitors." Only a dedicated monitor does this, and Crawlytics does not.
Job B: fix what ChatGPT gets wrong, and confirm it crawled the fix. When ChatGPT states an old price, a discontinued product, or a flat-out error, the lever is your source pages. ChatGPT-User, the agent that fetches live pages when a user asks about your site, has to be able to read the corrected facts. That means correcting the page, making the fact visible in server-rendered HTML, serving AI fetchers clean content, and then watching your logs to confirm ChatGPT-User actually came back and fetched it. This is a measurement-and-action job, not a prompt-sampling one.
The honest framing: Job A tells you there is a problem. Job B is how you make the problem go away and prove it. A monitor that stops at "you were mentioned 12 percent of the time" leaves you holding a number with nowhere to go, which is the same diagnose-but-don't-fix trap I described in the best AI visibility tools under $50 roundup.
These are the Job A tools. All of them lead with prompt-sampling share of voice across multiple AI engines, and all of them include ChatGPT in some form as of June 2026. I have noted how each one treats ChatGPT specifically, because "covers ChatGPT" hides a lot of variation, and the accuracy caveat below applies to every one of them.
Profound is the enterprise leader. It runs daily prompts across roughly nine to eleven engines including ChatGPT, with share of voice, sentiment, citation sources, and competitor comparison, plus first-party crawler analytics through CDN connectors. Pricing is now sales-gated (roughly $99/mo to $399 and up on third-party reviews). Built for large brands with a data team. See our Profound alternatives breakdown if that is too heavy.
Otterly.ai is a prompt-sampling monitor with a GEO content audit and a Crawlability Checker. It tracks ChatGPT among the major assistants, and its Lite tier sits around $29/mo with tight prompt and LLM caps, so confirm the current limits. The most affordable entry into real mention tracking.
Peec AI is a Berlin-built monitor aimed at marketing teams, with a Crawl Insights feature that reads server logs. It samples ChatGPT alongside other engines. Pricing runs about €89/mo to €499 and up. Worth noting: Peec publicly dismisses llms.txt as "a distraction," so it is monitoring-only with no content generation.
AthenaHQ is a share-of-voice monitor with optimization recommendations that includes ChatGPT. LLM-traffic analysis is enterprise-only. Pricing starts around $295/mo and climbs toward enterprise. It offers a free one-time audit that measures brand mentions, not site readiness.
Scrunch AI is the most feature-complete: ChatGPT share of voice, Agent Traffic (bot logs), page audits, and AXP edge middleware that serves clean HTML to agents. It does not do llms.txt or WebMCP. The catch is that Scrunch was acquired by Sitecore (~$225M, around June 3 2026) and is moving enterprise, vacating the affordable lane. Entry runs about $250/mo and up.
Knowatoa is the cheapest pure monitor (around $59/mo) and tracks ChatGPT among its engines. Its standout is an AI Search Console that probes whether 24 AI user agents, including ChatGPT's, can access your site, an accessibility audit rather than log analytics. A free one-off audit is available.
Ahrefs Brand Radar adds ChatGPT share of voice to the Ahrefs suite using real search-backed prompts. It needs a base plan plus a $398 or $699 add-on. Honest caveat from reviews: its data skews to Google surfaces, and its ChatGPT and Perplexity accuracy is reportedly poor (more on this below). A free AI Visibility Checker exists. Ahrefs also runs a separate Cloudflare-only Bot Analytics beta. Our all-engine brand monitoring comparison covers it in depth.
Semrush AI Visibility is a $99/mo Toolkit add-on (plus base subscription) with an Enterprise AIO tier, and it tracks ChatGPT. Its AI Traffic Dashboard uses third-party referral estimates rather than your logs. Semrush has publicly argued llms.txt is ineffective.
The accuracy caveat, in plain terms. Every tool above samples ChatGPT rather than reading it the way it reads your logs, and ChatGPT is harder to sample reliably than Google's AI surfaces. Answers shift between sessions, the same prompt yields different brands on different days, and attribution of which page ChatGPT pulled from is fuzzy. The sharpest public example: an Ahrefs Brand Radar test surfaced 3 ChatGPT mentions when the brand actually had 123. That is not unique to Ahrefs; it is the structural noise of prompt-sampling a non-deterministic model. Use these tools for trends and competitive direction, not as ground truth for a single ChatGPT number. I made the broader version of this argument in why AI share of voice is a shakier number than vendors admit.
How the ChatGPT monitors stack up as of June 2026. Prices are approximate entry points; verify each on the vendor's site.
| Tool | Covers ChatGPT | Reads your logs | ChatGPT accuracy note | Entry price (≈) | Best buyer |
|---|---|---|---|---|---|
| Profound | Yes (daily, ~9-11 engines) | Yes (Agent Analytics) | Multi-engine, still sampled | ~$99/mo → enterprise | Enterprise + data team |
| Otterly.ai | Yes | Beta | Sampled; tight tier caps | ~$29/mo Lite → $489 | Small brand / agency |
| Peec AI | Yes | Yes (Crawl Insights) | Sampled; no content fix | ~€89/mo → €499+ | Marketing team |
| AthenaHQ | Yes | Enterprise only | Sampled; free one-off audit | ~$295/mo → enterprise | Mid-market / enterprise |
| Scrunch AI | Yes | Yes (Agent Traffic) | Sampled; moving enterprise | ~$250/mo Core → | Mid-market / enterprise |
| Knowatoa | Yes | No (probes access) | Sampled; cheapest monitor | ~$59/mo → enterprise | SMB / agency |
| Ahrefs Brand Radar | Yes | Bot Analytics beta (CF-only) | Reported poor (3 vs 123 in one test) | Base + $398/$699 add-on | Existing Ahrefs users |
| Semrush AI Visibility | Yes | No (referral estimates) | Sampled; estimated traffic | ~$99/mo add-on + base | SMB → enterprise |
| Crawlytics | No (not a monitor) | Yes (ChatGPT-User logs) | N/A — fixes the source | $29.99 / $49.99 mo | Fix + track complement |
When ChatGPT states something false about your brand, the fix is the page ChatGPT reads, not the monitor that flagged it. A monitor can tell you ChatGPT said your product costs $49 when it costs $29, or that it recommends a competitor for a query you should own. It cannot change that. The change happens at the source.
ChatGPT draws on two things: its training data and live fetches via ChatGPT-User when a user asks about a specific site or topic. You cannot edit training data, but you can shape what ChatGPT-User reads right now. Three concrete moves carry most of the weight. Correct the fact on your own page first, since that is the canonical source ChatGPT-User will fetch. Make the corrected fact visible in the server-rendered HTML, because ChatGPT-User does not reliably execute client-side JavaScript, so a price that renders only in the browser is invisible to it. Then give AI fetchers a clean reading path through a generated llms.txt and clean HTML served to AI user agents, which strips the navigation and scripting noise down to the facts you want cited.
This is the Crawlytics side, and it is exactly what the product does: it serves ChatGPT-User clean HTML, generates and serves your llms.txt, and gives you the levers to correct the source the model reads. Our full walkthrough lives in how to fix what ChatGPT says about your brand, and if your larger goal is to get picked at all, how to get cited by ChatGPT covers the positive side of the same coin.
To confirm ChatGPT actually crawls your site, read your server logs for the ChatGPT-User and OAI-SearchBot user agents. ChatGPT-User is the live fetch fired when someone asks ChatGPT about your page; OAI-SearchBot powers ChatGPT's search index. If neither shows up in your logs, ChatGPT is not reading your current pages, and no amount of editing will reach it until it does.
This is the blind spot in every prompt monitor in the table above. They sample what ChatGPT says; they never touch your logs, so they cannot tell you whether ChatGPT-User fetched your corrected pricing page yesterday or last got it three weeks ago. That gap matters, because the log hit is the proof that a fix landed. You change the page, you watch for ChatGPT-User to come back and fetch it, and only then do you expect the answer to shift.
Crawlytics logs ChatGPT-User and OAI-SearchBot hits per page from your real server traffic, classifying them alongside 25-plus other AI bot signatures across 19 providers. Because it both generates your llms.txt and reads those logs, it can show you a coverage gap: pages you declared in llms.txt that no AI bot, ChatGPT-User included, has actually fetched. A standalone monitor structurally cannot produce that, because it never sees your logs.
Honest disclosure, again: Crawlytics is not a ChatGPT brand monitor. It will not tell you your mention rate across 50 prompts, and if Job A is your only need, buy a dedicated monitor from the table. Where Crawlytics earns its place is Job B, fixing the source and confirming the crawl, plus a related practical fix: if ChatGPT clicks keep landing in your analytics as "direct" traffic, that is an attribution problem covered in our ChatGPT direct traffic fix, not a reason to buy a bigger monitor. Crawlytics runs $29.99/mo (Visibility) and $49.99/mo (Commerce); the grader and demos are free.
Match the tool to the job, and most teams need one from each side.
If you mainly need to know what ChatGPT says about you and your competitors, start with a dedicated monitor. Knowatoa (around $59/mo) and Otterly.ai Lite (around $29/mo) are the affordable entries; Profound is the enterprise pick when you need many prompts, sentiment, and a share-of-voice dashboard leadership will accept. Whichever you pick, sanity-check its ChatGPT numbers against a few manual queries, because of the accuracy gap.
If ChatGPT is saying something wrong and you need to fix it and confirm the fix, that is the fix-and-track side: correct the source pages, serve ChatGPT-User clean HTML and llms.txt, and read your logs for ChatGPT-User and OAI-SearchBot to prove it crawled. That is the Crawlytics lane. Start free with the Agent-Ready Grader to see whether ChatGPT-User can even read your pages today.
The combination beats either alone. A monitor with no fix layer leaves you anxious; a fix layer with no monitor leaves you guessing what to fix. Run one of each, scoped to your budget, and let the monitor point at the problem while the fix-and-track tool closes it.
Written by Crawlytics Team. Crawlytics tracks AI bots, generates llms.txt, and powers WebMCP commerce, all from one snippet on any stack. See how it works →
Use a prompt-sampling monitor that includes ChatGPT among its engines, such as Profound, Otterly.ai, Peec AI, or Knowatoa as of June 2026. Each runs a set of prompts on a schedule and records whether ChatGPT mentions your brand and which sources it cites. Pick prompts your buyers would actually type, and treat any single ChatGPT mention count as directional, since ChatGPT answers vary between sessions and several tools report noisier ChatGPT coverage than Google-surface data.
There is no single best tool; it depends on budget and scope. Knowatoa (around $59/mo) and Otterly.ai Lite (around $29/mo) are the most affordable monitors that cover ChatGPT, while Profound is the enterprise leader for multi-engine share of voice. Whichever you choose, verify how it samples ChatGPT specifically and compare its mention counts against a few manual ChatGPT queries before trusting the dashboard, because ChatGPT accuracy in these tools is less reliable than their Google numbers as of June 2026.
Fix the pages ChatGPT reads. ChatGPT pulls from your live site and the wider web, so correct outdated facts on your own pages first, make those facts visible in the server-rendered HTML rather than client-side JavaScript, and give ChatGPT-User a clean version to read. Crawlytics serves AI fetchers clean HTML and generates llms.txt for this, and our guide on fixing what ChatGPT says about your brand walks through the full process.
Yes, by reading your server logs for ChatGPT-User and OAI-SearchBot user agents. ChatGPT-User is the live fetch triggered when a user asks ChatGPT about your page, and OAI-SearchBot powers ChatGPT search. Most prompt monitors cannot see this because they never touch your logs. Crawlytics logs these hits per page so you can confirm which pages ChatGPT actually fetched, which is the proof that a content fix reached the model.
There are free one-time audits but no robust free continuous monitor as of June 2026. Knowatoa, AthenaHQ, and Ahrefs offer free one-off AI visibility checks that include ChatGPT, useful for a baseline. For the fix-and-track side, the Crawlytics Agent-Ready Grader is free and scans whether your site serves ChatGPT-User readable content across 25-plus checks, though it measures readiness rather than your mention rate in answers.
This page is part of Crawlytics.app. View all pages: llms.txt · llms-full.txt