Most alerts are noise. Agents sort out the ones that matter.
AEO agents are monitoring jobs that watch your AI visibility, competitors, technical health and content on a schedule. When a signal changes, the agent checks it against your brand context, decides whether it matters, shows its reasoning, and queues a fix for your approval.
Where it helps
Missed shortlist
Catch the drop when a competitor takes your place in AI answers, while there is still time to respond.
Wrong story
Flag sentiment and framing shifts when AI starts describing you differently.
Part of the loop
- Observe
- Diagnose
- Recommend
- Act
- Measure
- Learn
Detect. Decide. Explain. Queue the fix.
- 01
Detect
Agents run on a schedule against your AI visibility, competitors, technical health, content freshness, entity consistency and sentiment. - 02
Decide
Each signal is weighed against your brand context, recent history and severity. The agent acts, suppresses or escalates. - 03
Explain
Every decision is logged: what triggered it, what was considered, what was decided and why. You can audit it at any time. - 04
Queue the fix
When an agent acts, a task lands in your inbox with the fix attached. Nothing changes on a live system until you approve it.
More than one metric.
Visibility and citations
- Citation rate changes
- Drift
- Engine-specific drops
- Sentiment shifts
- Narrative framing changes
Competitors
- Competitor surges
- New entrants in your buyer questions
- Positioning changes
- Share of voice movement
Technical health
- Bot access issues
- Schema errors
- Performance regressions
- Crawl anomalies
- Structured data changes
Content and authority
- Content freshness decay
- Entity consistency drift
- Topic coverage gaps
- Knowledge graph changes
Agents find the problem. Workflows do the work.
Always on
AEO Agents
Run on demand
Workflows
Automation that shows its work.
An alert that says a number dropped doesn't tell you why, whether it matters for your brand, or what to do. Agents answer all three.
Every run is logged with what the agent saw, what it weighed and what it decided, so you can explain any automated decision to a stakeholder.