Examples help clients understand what the audit found.
AI visibility findings are easier to explain when they are grouped into recognizable patterns: direct recognition, category omission, competitor pressure, and platform differences.
- Brand-named prompts can show recognition but not discovery strength.
- Category prompts reveal whether AI systems recommend competitors first.
- Platform differences help agencies prioritize the next reporting cycle.
What AgencyScope tracks
This page keeps the agency workflow focused on the evidence clients need before a report is delivered.
- Brand recognition examples
- Category discovery examples
- Competitor co-mention examples
- Report-ready finding patterns
Set up the client brand
Add brand name, industry, region, competitors, and prompts. Use starter prompts or import your own.
Run recurring AI visibility checks
Test prompts across ChatGPT, Perplexity, and Gemini. Run manually or schedule weekly or monthly checks.
Send the white-label PDF
Download a polished report with your agency logo, color, footer, notes, and answer-level evidence.
KPI scorecard
Client-safe metrics separate assisted recognition, unassisted discovery, valid answer coverage, and competitor pressure.
Evidence board
Representative AI answer excerpts keep every finding traceable for client meetings and account reviews.
White-label cover
The finished PDF uses agency branding, reporting context, and a client-ready opening page.
Client education
Use example finding types to explain AI visibility without jargon.
Sales collateral
Show prospects what an audit can reveal before running a full report.
Internal review
Align the team on which findings are useful enough for the final PDF.