Add to ChromeAsk five answer engines the questions buyers use to compare our category. Return every brand, claim, and cited source, then show where our product appears or is missing.
All use cases
AI DISCOVERY
See what shapes AI answers about your market.
Run the questions buyers ask across answer engines. See which brands, claims, and cited pages appear or go missing.
BEST FORMarketing and content teams studying how buyers encounter their category in AI-generated answers.
WHAT YOU GET
A source-by-source map of the answers
- 01Every question paired with its answer engine
- 02The brands and claims that appeared
- 03Cited source pages and missing evidence
COPY A START
Use a prompt. Make it yours.
Replace the examples with your pages, rules, and approval point. rtrvr will work from the request you give it.
Compare how answer engines respond to these buyer questions. Group repeated claims, cited domains, and evidence gaps we should address.
HOW THE RUN WORKS
Start small. Check the result.
Tell Retriever AI which pages to use, what to return, and where to pause. Review a small sample before expanding the task.
- 01
Choose buyer questions
Use the same comparisons and problems a prospective customer would ask about.
- 02
Collect the answers
rtrvr runs the prompts and records each answer with its cited pages.
- 03
Compare the evidence
See repeated claims, missing sources, and gaps your content can address.
WHY THIS FITS
Each answer stays attached to its cited pages, so the analysis can be checked instead of inferred from a visibility score.
WHERE TO RUN IT
Pick the fastest way to start.
Use Chrome for sites you’re already signed into. Use Cloud for a separate browser, or the API for tasks from your own tools. Schedules require a paid plan.
Add to Chrome
Run the research across the answer engines you already use.
Research template
Turn a topic into a structured source review.
RUN YOUR VERSION