Eye for answer engines
Own the answer.
Understand how AI answers form. Find the work that moves them. Prove what changed. Powered by 310+ million LLM interactions.
The product
One loop. Built to move.
Eye connects the parts teams usually stitch together by hand: measurement, opportunity analysis, execution, integrations, and proof.
01 — Analyse
Measure the answer market
See how answer engines describe your brand, competitors, categories, and sources — across every model that matters.
- Cross-model prompt runs
- Visibility and sentiment scoring
- Citation and source intelligence
02 — Identify
Find the opportunity
Separate noisy dashboards from the moves worth making. Every action comes ranked by impact, effort, and evidence.
- Ranked opportunity map
- Competitor and source gap analysis
- Impact, effort, and confidence scoring
03 — Do
Turn insight into work
Create the asset, task, or outreach that changes the answer — with workflows that generate real deliverables.
- Template-driven workflow runs
- Approvals and publishing states
- Tasks, outreach, and refresh workflows
04 — Proof
Close the loop
Attach the work to a target, then re-measure the result. The evidence never leaves the loop.
- Outcome targets
- Scheduled re-measurement
- CMS, CRM, Slack, Jira, Linear, Asana, and webhooks
Insight is only useful when it ships.
Eye keeps the evidence, the decision, and the result in the same loop.