AI Visibility
See the narrative answer engines are running right now.
Run prompts across ChatGPT, Claude, Perplexity, Gemini, and DeepSeek, then preserve the full answer, citation set, sentiment, and source gaps.
Product Surface
Built to move from signal to shipped fix.
Each page in the OSPEA system should tell the same story: find the answer gap, package the fix, publish the source truth, and keep watching adoption.
Capabilities
What this surface handles.
Prompt coverage
Track live buyer questions, competitive prompts, category searches, and brand-specific queries.
Full answer capture
Store the actual model response, cited URLs, source snippets, and missing context for review.
AIO scoring
Measure citation, accuracy, position, sentiment, and answer quality without reducing everything to one vanity number.
Competitor mapping
See which competitors appear, which sources support them, and what themes models attach to each brand.
Fix suggestions
Turn answer gaps into source-backed content ideas, schema needs, and agent-ready correction briefs.
Adoption checks
Keep scanning after fixes ship so the dashboard shows whether the answer layer actually moved.
Workflow
The operating sequence stays simple.
Read the current answers.
OSPEA runs the tracked prompt set across active answer engines and saves the evidence.
Separate visibility from correctness.
Mentions, citations, sentiment, and accuracy are scored separately so the fix is obvious.
Send gaps into the fix system.
Findings become fix briefs, content hub tasks, or agent-ready handoff context.
Watch the regenerated answer.
Follow-up scans show whether models cite the new source truth.
Included
Enough detail to trust. Not enough noise to slow you down.
Start
See what the answer engines say before buyers do.
Run the first scan, save the baseline, then turn the findings into source-backed fixes your team or agents can ship.