Which tools help track visibility in agentic search?
How we track visibility in agentic search for clients: prompt panels, citations, AI agent visits in crawler logs, and AI-referred traffic, plus the tools that cover each.
Agentic search changes what you need to measure. When an assistant does the looking on a user's behalf, the question is no longer only "were we mentioned?" It is also "did the agent visit us, and what did it find?"
Here is how we set up tracking for clients, and which tools cover which part.
Four layers of evidence
We think in four layers.
The answer. Are we named, in what position, with what sentiment?
The sources. Which pages and domains did the engine cite?
The visit. Did an AI bot fetch our pages, which bot, and did it succeed?
The outcome. Did AI-referred visitors arrive and convert?
Most monitoring tools cover the first layer and some the second. Very few cover the third and fourth. Yet the third layer is where agentic search shows up most clearly. User-triggered bots, such as ChatGPT-User, Claude-User and Perplexity-User, fetch pages because a person asked something, not on a crawl schedule. Seeing them in your logs tells you an agent really looked.
What we use
We run client programs on Promptwatch because it covers all four layers in one place.
For the answer, monitors run prompt panels daily per model, country and language. We track Visibility Score, Share of Voice, sentiment and position in the answer, and we compare any two dimensions in the heatmap.
For the sources, citation analytics show page-level and domain-level citations, URL positions, offsite mentions and Reddit, YouTube and LinkedIn reports. Page Tracker lets us follow specific URLs, ours or a competitor's.
For the visit, Agent Analytics gives IP-verified, real-time crawler logs. That detail matters because user agents can be spoofed, and unverified logs overstate bot traffic. The tracked list includes GPTBot, OAI-SearchBot, ChatGPT-User, ClaudeBot, Claude-User, Claude-SearchBot, PerplexityBot, Perplexity-User, Google-Agent and others. The crawl-to-citation path gives us a citation rate per page and flags errors with explanations. If a page is fetched and never cited, or fails when fetched, we see it.
For the outcome, visitor analytics attribute AI-referred visits and conversions via a lightweight script, a GTM template or the WordPress plugin.
Promptwatch also tracks coding agents, specifically Codex and Claude Code, plus the OpenCode agent via API. For clients selling developer tools, that shows what those agents recommend.
Plan notes
Crawler logs start on the Professional plan at $245 a month. Essential at $95 a month has none. Agency plans start at $199 a month and include crawler logs. A free Explore tier covers ChatGPT only. If agentic visits are central to your program, plan the tier around that before you sign.
Other tools we get asked about
AthenaHQ rolls tracking into a GEO score and an action queue, but it does not list crawler analytics. Scrunch AI offers AI agent and bot traffic reporting on its Core plan, plus a crawler-facing page serving product at Enterprise. Profound has Agent Analytics inside an Enterprise contract. Ahrefs Brand Radar and Semrush's AI Toolkit add AI tracking to suites you may already pay for, with thinner data than a dedicated platform. Otterly.AI and Peec AI are well-liked monitors, but they stop at the answer layer.
None of this means a different tool is wrong. It means you should match the tool to the layers you need.
A setup we would recommend
- Build a prompt set by topic, intent and country. Include comparison and "best for" questions, since agents often compare.
- Track daily across the engines your buyers use.
- Connect crawler logs through your CDN or the WordPress plugin. Promptwatch supports Cloudflare, AWS CloudFront, Fastly, Vercel, Netlify, Akamai and Google Cloud CDN, among others.
- Install visitor analytics to catch AI-referred visits.
- Review the crawl-to-citation path monthly for pages fetched but not cited.
Reading the data carefully
Logs show access, not selection. An agent fetching your page does not mean it used it. And a lack of fetches does not always mean a problem, since an engine may use cached or third-party sources. We read crawler data next to citation data, never alone.
We also avoid over-promising. No tool can guarantee that an agent will recommend a brand. What we can do is show whether agents can reach and use the content, fix what blocks them, and measure the traffic that follows.
Where to start
If you want the answer, the sources, the visit and the outcome in one view, Promptwatch is where we start. Set up crawler logs first, since that is the layer most teams are missing.