For AEO / AI Search teams
Rank in the answers buyers now trust.
Your buyers ask ChatGPT, Gemini, Perplexity, and Google AI answers what to buy, who to trust, and how options compare. Attune samples those questions every day, shows where you appear, where you are cited, and where competitors answer in your place, then turns each gap into a fix you can retest against tomorrow's answers.
Answer visibility workspace
Answer visibility
See every answer about you
Daily prompt sampling across AI engines: visibility, rank, citations, sentiment, answer wording, and the competitors named instead.
Citation map
Know what teaches the answer
See which domains, publishers, reviews, and owned pages AI engines trust, and whether your best proof is present.
Retest loop
Prove the answer moved
Every fix ships with target prompts and a fresh scan so teams know whether answer wording, citations, or visibility changed.
The new answer surface
AI engines are now a discovery channel with opinions.
AI answers summarize, compare, recommend, and cite sources directly inside the buying journey. Attune walks the full chain: the prompt, the citations, the pages behind them, and the conclusion a buyer walks away with.
- 01
Daily sampling runs the real buying prompts, not keyword proxies, and captures the answer word for word.
- 02
Answer scoring tracks rank, share of voice, sentiment, recommendation status, and competitor framing.
- 03
Citation tracking shows which sources engines trust and which sources are missing.
- 04
Each answer gap becomes a concrete fix, tied to the prompts and evidence behind it.
- 05
Retest the same prompts after a fix and the answer, citations, and recommendation get scored against the baseline.
Operating model
A measurable loop for answer visibility.
Answer visibility is one surface of Continuous GTM. Attune samples the market on a schedule, ranks the answer gaps, routes approved work, and rescans the target prompts so every fix gets scored.
“Most tools ask whether you are showing up. Attune asks what buyers are learning, where they learned it, and what should change because of it.”
Use cases
What this looks like in practice.
Enter the answer
Show up where competitors are named instead.
Attune finds the prompts where competitors are recommended and you are missing, so the gap becomes a fix instead of a blind spot.
Outcome
Missing prompts identified and queued for a fix.
Fix the sources
Correct the citations teaching the wrong story.
Attune flags citations that reinforce outdated, thin, or competitor-shaped claims, and agents draft the source updates and proof refreshes from that evidence.
Outcome
Outdated citations replaced with grounded proof.
Prove movement
Rerun the prompts and score the change.
Attune reruns the target prompts, compares the answer, and labels the outcome: helped, no movement yet, regressed, or needs more data.
Outcome
A scored answer, retested after every fix.
How it runs
Five steps, on a loop.
Collect
Read every surface that shapes buyer belief: AI answers, search, citations, analytics, and your own systems.
Interpret
Find where belief, visibility, or trust is leaking, with the evidence attached.
Prioritize
Rank the work by impact in Growth Inbox.
Execute
Ship approved fixes through your team and AI agents.
Verify
Retest against the live market and keep score.
Next step
See how AI answers your buyers right now.
Get a free read on your AI-answer visibility: where you show up, who is cited, where competitors win, and what Attune would fix first.