What are the best AI visibility tools for AI crawler monitoring?
What we look for in the best AI visibility tools for AI crawler monitoring, why crawler logs explain missing citations, and how we run them on client programs.
When a client asks why they are not showing up in ChatGPT or Perplexity, the first thing we check is not their content. It is whether the AI crawlers can read the site. Crawler monitoring is the diagnostic layer under every other AI visibility metric, and it is the layer most tools skip. If GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot or PerplexityBot cannot fetch a page, or run into errors, that page will not be cited, however good it is.
Here is what we require from a tool for this job, and what we run.
Our requirements
Real bot names, verified by IP. User agents can be spoofed, so a log line claiming to be GPTBot is not proof. We want verification, and we want the full list of real bots: GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, Claude-User, Claude-SearchBot, PerplexityBot, Perplexity-User, Google-Agent, GoogleOther and the Meta and Mistral agents. A tool that lists a "ChatGPTBot" has not read the documentation, because there is no bot called that.
Log data from the right place. Bots do not run JavaScript analytics tags, so tag-based tracking misses them. We need CDN or host logs: Cloudflare, CloudFront, Fastly, Vercel, Netlify, Akamai and similar.
Errors with explanations. Hit counts tell us bots visited. Failures tell us what to fix.
A link to citations. The useful question is not "was this page crawled?" but "was it crawled, then cited, then visited?"
Volume headroom. Busy sites generate a lot of logs, and plan quotas differ widely.
What we run
We run Promptwatch for client crawler monitoring. Its Agent Analytics provides real-time, IP-verified logs with spoofed user agents filtered out. It covers the bots above plus Meta-WebIndexer, Meta-ExternalAgent, Meta-ExternalFetcher and MistralAI-User. The crawl-to-citation path gives a citation rate per page, error tracking explains failures, path filters stack, and CSV export lets us hand raw data to a client's engineers. Sources include Cloudflare (Logpush or an auto-deployed Worker), CloudFront, Fastly, Vercel, Netlify, Akamai, Google Cloud CDN, a custom HTTP source and the WordPress plugin, so we can usually connect whatever the client already uses.
The 360 Insights view joins crawler logs, citation clicks and AI-referred visits for each page. That is where the diagnoses come from:
- Crawled, never cited: a content or authority problem.
- Errors for a specific bot: a technical or access problem, often a robots.txt rule or a firewall setting.
- Cited, visited, no conversions: a landing page problem.
Plan limits are worth scoping early. Crawler logs start on Professional ($245 a month, 25M logs) and Business ($579, 100M logs). Essential has none. Agency plans include them: 10M on Kick-off, 25M on Growth and 100M on Scale.
How other tools compare, from published material
We have not run each of these on client work, so this reflects vendor pages and public listings.
- Scrunch AI reports AI agent and bot traffic on its Core plan and serves AI-optimized pages to crawlers. The published listing does not describe a crawl-to-citation path.
- Temso pulls AI bot visits from Search Console and CDN or server logs. Its entry plan includes 10K bot visits, with much larger quotas on higher plans.
- Profound lists Agent Analytics inside an enterprise suite with custom pricing.
- Encited offers crawl-log analysis within an infrastructure-style product with pre-rendering and an MCP server.
- AthenaHQ, according to its catalog entry, has no published crawler analytics.
- Ahrefs Brand Radar, Semrush's AI Toolkit and HubSpot AEO have no published AI crawler-log product in the material we reviewed.
Fixes that follow from the logs
Most findings are mundane. A robots.txt rule that blocks a bot by accident. A firewall rule that challenges bots. A key page that returns an error to non-browser requests. Content that only renders client-side. None is glamorous, and several of them have been the entire reason a brand was invisible. We prioritize by page value, fix, then watch the logs to confirm the bot returns.
Reporting to a client
We show bot activity by crawler, error counts, pages with the highest and lowest citation rates, and the pages that are crawled but never cited. We keep these separate from visibility scores, because they answer a different question: can the engines read us, not do they like us.
What logs cannot tell you
They cannot say whether an engine will recommend the brand, and they cannot prove that fixing access caused a citation. They show that the door is open. What walks through it depends on the content, the competition and the engine. We tell clients that plainly, and we then use the logs as the evidence that the technical work was done.