Practical framework to audit how a brand appears across ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews.
Buyers increasingly ask AI systems for recommendations, comparisons and local service options. If a brand is unclear, poorly cited or inconsistent across public sources, AI answers may ignore it or describe it inaccurately.
This kit helps consultants, SMBs and B2B teams evaluate how visible, accurate and citation-ready a brand is across AI answer engines.
- AI visibility audit template
- Reusable prompt set
- Scoring framework
- Sample report
- Example brand analysis
- Operational checklist
- Audit execution guide
- Example audit output
- Roadmap
- Changelog
Use this kit when you need to understand how a company appears in AI-generated answers for branded, category, local-intent and comparison prompts.
A Moroccan B2B service provider can test prompts such as:
Who is [brand name]?Best AI consultant in MoroccoAI automation consultant in Casablanca[brand name] vs competitors
The answers are scored across entity clarity, source consistency, answer presence, citation readiness, structured content and reputation signals.
- Fill in
audit-template.md. - Run the prompts from
prompt-set.mdacross multiple AI systems. - Score each answer with
scoring-framework.md. - Summarize findings using
sample-report.md. - Convert gaps into the actions listed in
checklist.md.
The audit turns AI visibility from a vague concept into a measurable business review. It helps teams decide what content, source alignment and reputation work should come first.
This project does not guarantee rankings, citations or recommendations in AI-generated answers.
It provides a practical framework to evaluate AI visibility gaps and prioritize improvements across content, entity clarity, public sources and reputation signals.
Built by Mohammed Teto
AI, Automation & LLM Visibility Consultant
Casablanca, Morocco
Website: https://mohammedteto.com