About OSPEA
We are building the operating layer for answer-engine visibility.
Search is becoming an answer surface. OSPEA helps teams see what those systems say, correct stale narratives, and connect visibility work back to the website and content operations already moving the business.
Why it exists
Monitoring alone leaves teams with homework.
Most AI visibility tools show whether a brand is mentioned. OSPEA is built for the next step: identifying what needs to change, packaging the context, and helping teams publish source-backed fixes.
That means AI query research, model coverage, cited-source analysis, Content Hub, website analytics, SearchOps, distribution, and agent-ready handoff belong in one workflow instead of scattered reports.
Measure the answer layer
We start with what ChatGPT, Claude, Gemini, Perplexity, and DeepSeek actually say.
Work from evidence
Every recommendation should trace back to a prompt, source, citation, site gap, or verified business fact.
Ship the fix
The product should move teams from finding issues to publishing fix briefs, source truth, and handoff context.
Keep analytics honest
Website analytics is website traffic analytics. AI visibility is measured separately through answer-engine scans.
Start with the baseline
See what answer engines are saying before another buyer asks.
Run the first scan, save the baseline report, and turn the highest-impact gaps into fix briefs.