Buyers ask AI which tool to use, and it answers with a shortlist. We find out whether you’re on it, who beats you, and what to change.
Set up your dashboard in five short steps: competitors, the questions to track, the engines to ask. Pay once when it’s ready to run.
They ask an AI engine. It searches the web, reads a handful of sites, and answers with a shortlist. Type your website above and see where you would stand.
An illustration, not a measurement. Your report asks the real engines, many times each.
Prepare content for your channels. Review every draft, then publish through a connected destination or export it yourself.
Publishing depends on the channel and connected account. GitHub creates a pull request; Reddit replies are prepared for manual posting.
One page you read in ten minutes and act on the same week. Every answer is included, so you can check our reading yourself.
Your product
yourproduct.com · meeting scheduling
of answers named you · 126 of 400
Share of answers that named each product, across every engine and run.
Ordered by impact per unit of effort.
You fill in three fields. We do the asking, the counting and the reading, and the report shows its working.
Your domain, one line on what it does, and the category buyers search for. Nothing else.
Questions written the way buyers type them, with your name never in them. Each one runs several times (Google AI Overview once), with live web search on.
Every answer is in the report, word for word, so you can check our reading against the source.
A fix list built from the sources the engines read and who holds the answer, ordered by impact per unit of effort.
What ChatGPT, Perplexity and Gemini answer when a buyer asks. One question per category, asked 3 times on each engine with live search on. Free to read, dated, with every answer quoted.
AI voice generator and text to speech
Updated 9 October 2026
“What is the best AI voice generator?” and 4 more
LLM observability and evaluation tools
Updated 9 October 2026
“What is the best LLM observability tool?” and 4 more
vector database
Updated 9 October 2026
“What is the best vector database?” and 4 more
One report for one product, with the answers, the cited sources and a prioritised fix list. Or Track: the same questions on a schedule, every run on one dashboard.One report for one product. Choose the coverage you need and get the answers, the cited sources and a prioritised fix list. No subscription required.
No engine is an add-on. Each plan runs every engine shown on its card. No seats, no subscription.
No engine is an add-on. Each plan runs every engine shown on its card. No seats, no subscription.
Add recomention to Claude Code or Codex, ask “is my product recommended for meeting scheduling?”, and your agent starts the report, waits, and reads it as JSON.
Our engines, or your own keys with the Agent plan.
claude mcp add recomention --env RECOMENTION_API_KEY=YOUR_API_KEY --env RECOMENTION_BASE_URL=http://localhost:3000 -- npx -y @recomention/mcpReplace YOUR_API_KEY with a key from your account (Developers).
Add recomention to Claude Code or Codex, ask “is my product recommended for meeting scheduling?”, and your agent starts the report, waits, and reads it as JSON.
Our engines, or your own keys with the Agent plan.
curl http://localhost:3000/api/v1/rankingsSomething else? Ask us.
One report, paid once, with every answer quoted. From $19.
No engine is an add-on. Each plan runs every engine shown on its card. No seats, no subscription.