# AgentReady Monitor > What do AI models recommend when buyers ask about your category? AgentReady Monitor measures every month what ChatGPT, Claude, Perplexity and Gemini answer when potential buyers ask about your category. Score, share of answer, competitor tracking and alerts — for companies that want to know whether they show up in AI answers at all. ## The problem ### Google rankings no longer tell you whether you get recommended Buyers do not open a results page any more, they ask a model: "Which CRM fits a trade business with 20 people?" What comes back as a shortlist decides your pipeline — and nobody measures it. That is where the Monitor starts. Every month it asks the same 25 questions your buyers would ask, across every relevant model, and records who gets recommended, what is claimed about you, and where a gap opens up. ## How it works ### 01 Create a case Domain, category, ideal customer, 3–5 competitors, 2–3 use cases. Four minutes. Plus a fact sheet with your real prices — without that ground truth there is no way to judge whether a model tells the truth about you. ### 02 Measure the baseline We generate 25 buying prompts in five blocks: category shortlist, facts about you, use case, buying criteria, head-to-head against your competitors. Every prompt runs against every model in every language — with live web search, the way your buyer sees it. ### 03 Have it scored Every answer is judged against your fact sheet: visibility (0–2), accuracy (0–2), sentiment (−1 to +1), the dominating competitor, and the open gaps. That yields a score from 0 to 100, per model and overall. ### 04 Repeat every month The run repeats automatically. You see the trend, the delta to last month, and get a report by email. If the score drops by more than 10 points or a new competitor shows up in the recommendations, you get an alert. ## What you get ### Score 0–100 One value per model and one overall, built from visibility, accuracy and sentiment. Trend chart across every month measured. ### Share of answer The share of comparison questions where you are named — next to every competitor. "Craftnote is recommended in 80% of comparisons, you in 40%." ### Answer matrix Every single answer verbatim, sorted by prompt and model, with its score and reasoning. Filterable by block and language. ### Gaps What the models could not answer about you — deduplicated and ranked. That is your FAQ backlog for the next few weeks. ### Alerts Email when the score drops by more than 10 points or a competitor newly enters the recommendations. Pro plan. ### API instead of click paths Everything the dashboard does, the API does too. Bearer tokens, an OpenAPI spec, one endpoint per job — built for agents that ask on their own. ## Models measured Measured through OpenRouter with live web search — the mode your buyer actually uses in a chat window. - OpenAI GPT-5.6 Sol - Anthropic Claude Sonnet 4.6 - Perplexity Sonar Pro - Google Gemini 3.1 Pro ## Pricing ### Trial — 0 EUR (14 days) - 14 days free, no credit card - 1 case, 25 prompts, baseline run - 2 models (ChatGPT, Claude), English - Score, share of answer, gaps - Cases: 1 - Models: 2 - Languages: en - Alerts: no - Share links: no - Manual re-runs: no ### Starter — 49 EUR/month - 1 case, monthly measurement run - 4 models: ChatGPT, Claude, Perplexity, Gemini - English + German - Monthly report by email - Cases: 1 - Models: 4 - Languages: en, de - Alerts: no - Share links: no - Manual re-runs: no ### Pro — 149 EUR/month - 3 cases (e.g. several products or markets) - 4 models, English + German - Alerts on a score drop over 10 or a new competitor - Public share links for reports - Manual re-runs, any time - Cases: 3 - Models: 4 - Languages: en, de - Alerts: yes - Share links: yes - Manual re-runs: yes All prices net per month, cancel any time. No setup fee, no minimum term. ## FAQ ### How is this different from SEO tools? SEO tools measure rankings in a list of results. We measure answers. There is no position 1 to 10, there is prose in which three vendors appear and the rest does not exist. So we measure mention, accuracy and sentiment — not position. ### Why do I need a fact sheet? Without ground truth there is no way to judge whether an answer is right. Once your prices, plans and audience are on file, every answer can be checked against them — and you see immediately when a model quotes an outdated price. That is why prices and plans are mandatory. ### How often do you measure? Automatically once a month, plus a baseline run right after you create the case. On the Pro plan you can measure again at any time — after a relaunch, for example. ### Which models do you query? On the trial, ChatGPT and Claude. From Starter, Perplexity and Gemini as well, plus a second language. All with live web search, so the answer matches what a buyer sees in a chat. ### How are the answers scored? A separate model without web search judges every answer strictly against your fact sheet and competitor list. It gets four numbers to fill in: visibility 0–2, accuracy 0–2, sentiment −1 to +1, and the dominating competitor. Score = visibility × 25 + accuracy × 15 + (sentiment + 1) × 5, normalised to 0–100. ### How does this relate to the AgentReady Check? The Check measures the technology of a domain: robots.txt for AI crawlers, llms.txt, structured data, server-rendered HTML. The Monitor measures the outcome: what the models actually answer. Every monthly run triggers a fresh Check scan, so both numbers sit side by side — and a drop in visibility gets a cause instead of a shrug. ### Is there an API? Yes. Every dashboard function exists as an endpoint under /api/v1, authenticated with a bearer token. The OpenAPI spec lives at /api/v1/openapi.json, the documentation at /docs/api. An MCP server mirroring exactly these endpoints follows. ### Can I cancel? Any time in the customer portal, effective at the end of the current period. The trial runs for 14 days and needs no credit card. ## Links - Web: https://ai-agent-ready.com/ - Pricing: https://ai-agent-ready.com/pricing - FAQ: https://ai-agent-ready.com/faq - API docs: https://ai-agent-ready.com/docs/api - OpenAPI: https://ai-agent-ready.com/api/v1/openapi.json - Technical check: https://check.ai-agent-ready.com/ ## More from The Autopilot - [AgentReady Check](https://check.ai-agent-ready.com): Free technical scan: what can AI agents actually read about your site? - [The 21-Process Check](https://check.the-autopilot.com): How much of your business already runs without you? (German) - [Clapr](https://www.clapr.io): Run your YouTube pipeline on autopilot with AI agents. - [Loop Engineer](https://www.loop-engineer.de): Learn loop engineering in eight missions. (German) A product by The Autopilot — https://the-autopilot.com