Methodology
Audit the narrative. Package the fix. Verify adoption.
OSPEA runs a repeatable operating loop: query the answer layer, separate source gaps from stale claims, prepare fix briefs, and keep checking whether the answer changes.
Read
20 prompts
Compare
14 sources
Package
4 briefs
Verify
11d shift
Method console
Answer layer loop
Query sample
“What is Acme Corp and what are their enterprise pricing limits?”
Observed answer
Still cites old account limits.
Missing source
Pricing page lacks machine-readable policy detail.
Fix brief
Publish source-backed pricing clarification.
Run state
Read
Complete
Compare
Complete
Package
Ready
Verify
Active
Evidence packet
8 sources
Attached to fix brief and later verification.
Phase 01
Read the answer layer.
OSPEA queries ChatGPT, Claude, Gemini, Perplexity, DeepSeek, and Google AI Overviews to see what buyers are being told before they reach your site.
Phase 02
Find the missing source truth.
We compare answers against your verified website, docs, competitors, and cited sources to separate stale claims from fixable evidence gaps.
Phase 03
Package the fix.
Each issue becomes a source-backed brief your team or AI agent can turn into a page, article, citation update, or distribution task.
Phase 04
Verify adoption.
Tier-based scans check whether answer engines picked up the correction, whether citations changed, and where more context is needed.
Operating rules
Built for teams that need a fix, not a theater report.
Evidence before generation
Fixes start from observed model answers and sources, not generic SEO briefs or keyword lists.
Agent-ready handoff
The output is structured so Codex, Claude, your editors, or your dev team can act without reverse-engineering the issue.
Continuous scans
The baseline report stays as the onboarding snapshot. Live metrics keep moving as new scans, fixes, and adoption checks run.
Baseline versus live metrics
Your First Look report is the snapshot. The command center is the live system.
The onboarding report gives teams an immutable starting point: AIO health, GEO readiness, SEO health, and the first issue set. After that, live scans update visibility, errors, fix briefs, content drafts, and handoff queues as the business keeps changing.
Start with evidence
See what answer engines are saying before another buyer asks.
Run the first query set, collect the source gaps, and turn the highest-impact issues into source-backed fixes.