Promptwatch AI Visibility Analytics and Content Performance Across AI Platforms
A close look at Promptwatch: how its visibility analytics, crawler logs, and Content Agents measure and improve content performance across AI platforms, and what it costs.
Promptwatch is the number one tool in our rankings, so it deserves the same scrutiny we give everything else. This is what it actually does, where the numbers come from, and who should pick something else. The long-form version lives on our full review page; this is the working summary.
What it is
Promptwatch, built by Promptwatch B.V. in Amsterdam and founded in April 2025, calls itself an AI search visibility and GEO platform. The fairer description for this site's readers: it is the most complete monitor-optimize-publish loop currently sold as one product. It monitors answers across ChatGPT, Gemini, Claude, Perplexity, Grok, Llama, DeepSeek, Mistral, and Copilot, plus Google AI Overviews and AI Mode, reading real product UIs rather than only APIs. It rates 4.7/5 on G2 and counts 1,840+ brands and agencies as customers, including Duolingo, Yelp, Typeform, and Rabobank.
The analytics stack
Visibility analytics start at the prompt. Each tracked prompt carries search volume, difficulty, query fan-outs, topics, personas, and geographic targeting down to city level. Prompt trends show movement over time with what changed between checks, which is the difference between a chart and an explanation.
Citation analytics answer where AI finds your content: page-level and domain-level citations, plus Reddit, YouTube, and offsite mentions, with trend views rather than snapshot counts. Sentiment analysis and share-of-voice sit alongside for competitive benchmarking.
Then the two layers most competitors skip. Agent Analytics streams real-time AI crawler logs (ChatGPTBot, ClaudeBot, PerplexityBot, GoogleOther, Meta's crawler) with error tracking and a crawl-to-citation path, fed through Cloudflare, CloudFront, Fastly, Vercel, Netlify, Akamai, Google Cloud CDN, or custom HTTP. Promptwatch shipped crawler-log tracking first in this category; comparable features arrived elsewhere roughly a year later. And visitor analytics attribute AI-referred traffic and conversions through a lightweight script or GTM template.
Content performance, then content production
Measuring content performance across AI platforms is half the pitch. The other half is acting on it. Content Agents run gap analysis against your tracked prompts and competitors, plan articles, write them, and publish to Webflow or Framer through a review inbox, with WordPress listed as coming soon. Agent Chat lets you interrogate the data conversationally, and Unified Actions compiles one to-do list from prompt performance, citation gaps, and crawler activity. Integrations round it out: Google Search Console, Looker Studio, Slack, an MCP server, and a REST API.
Pricing, with no invented numbers
Brand plans: Explore is free (10 prompts, ChatGPT only). Essential is $95/mo with 50 prompts and 5 AEO articles. Professional, the popular tier, is $245/mo with 150 prompts and 25M crawler logs. Business is $579/mo. Agency plans with unlimited projects and prompts run from $199/mo (Kick-off) through $399 (Growth) to $799 (Scale). Annual billing gives twelve months for the price of ten.
Who should look elsewhere
Teams that only want a cheap mention thermometer will find Otterly.AI at $29/mo or LLM Pulse at €49/mo perfectly adequate, and simpler. The free Explore tier is ChatGPT-only, so evaluating true multi-engine coverage means the $95/mo Essential plan.
For everyone else, the evaluation is straightforward: start the free tier, connect the crawler logs and the visitor script, and see whether the loop from measurement to published fix holds up on your own site. On our rubric, nothing else currently comes close.