The discovery layer has shifted
Your buyers are asking AI for recommendations. Is your brand in the answer?
We audit how ChatGPT, Claude, Gemini, and Perplexity describe your brand across 20 strategic queries — then deliver a scored baseline and a prioritized roadmap to fix what's wrong.
- Fixed-scope €500 audit. Methodology documented end to end.
- Query-level evidence with screenshots, not generic SEO claims.
- Built for founders, CMOs, and growth leaders making resource decisions.
Definition
What “AI visibility” actually means
AI visibility is the share of category-relevant queries where your brand appears and is described accurately in AI-generated answers. It is not traffic — it is whether you make the shortlist inside the model response.
Traditional SEO optimizes for search rankings. Generative Engine Optimization (GEO) optimizes for inclusion in AI-generated answers. We measure the outcome of both: whether your brand is actually present, accurate, and recommended when buyers ask.
What we measure
- Visibility score by query and model (0–100).
- Accuracy and hallucination flags against authoritative sources.
- Competitive displacement across 3 named competitors.
- Citation quality and source attribution patterns.
What's at stake
The shortlist is forming before anyone visits your website
When a buyer asks an AI assistant “What are the best tools for [your category]?” — the answer shapes their shortlist. Three risks compound if you are not managing this.
Invisible
A prospect asks ChatGPT for recommendations in your category. Four competitors are named. You are not. The deal starts without you in the room.
Inaccurate
An LLM describes your product with outdated pricing, a discontinued feature, or a wrong integration. The buyer moves on before you can correct it.
Displaced
A competitor publishes structured, citation-ready content. AI assistants start recommending them by default. You lose position without knowing it.
Methodology
Five phases, one clear outcome
Scope & query selection
Define 20 strategic queries across brand, category, and use-case intent.
Output: Validated query set and success criteria.
Multi-LLM testing
Run queries across ChatGPT, Claude, Gemini, and Perplexity.
Output: Response archive with screenshots and metadata.
Visibility + accuracy scoring
Score appearance, prominence, and factual accuracy on a 0–100 scale.
Output: Visibility scorecard and error inventory.
Root-cause analysis
Identify source gaps, citation patterns, and content structure issues.
Output: Cause map and fixability assessment.
Roadmap + delivery
Prioritize actions by impact and effort for immediate execution.
Output: Executive summary, roadmap, and walkthrough.
Sample output
What the audit delivers
Visibility scorecard
Query-level scores by model with clear baselines.
Evidence snapshots
Screenshots and citations showing how LLMs describe you today.
Competitive matrix
Head-to-head comparison with 3 named competitors.
Prioritized roadmap
Sequenced actions grouped by quick wins vs. structural fixes.
Use cases
Built for the decisions you are making right now
Category leaders protecting position
You rank well in search, but AI assistants recommend three competitors and omit you. The audit shows exactly where the gap is and what to fix first.
Teams entering or defining a category
You are building a new category or repositioning. AI models have no structured source to draw from yet. The audit identifies the content and citation strategy to establish your narrative early.
Growth teams tracking competitive threats
A competitor suddenly appears in every AI recommendation in your space. The audit benchmarks your position against three named competitors and shows what they are doing differently.
FAQ
Common questions
What makes this different from a traditional SEO audit?
SEO audits measure search rankings. We measure whether your brand appears and is described accurately inside AI-generated answers — a fundamentally different surface. The audit includes per-query evidence, not keyword reports.
How does this relate to GEO (Generative Engine Optimization)?
GEO is the practice of optimizing content so it is cited by AI systems. Our audit measures the outcome of your current GEO posture — how visible and accurate your brand is across major LLMs — and the roadmap tells you where to focus GEO efforts for the highest impact.
How long does the audit take?
5–7 business days from intake completion to delivery. Intake itself is a short questionnaire.
Which models do you test?
ChatGPT, Claude, Gemini, and Perplexity are included in the standard audit. Each query is tested across all four.
What do you deliver?
A PDF report with screenshots, a visibility scorecard, competitive matrix, and a prioritized action roadmap. A walkthrough call is included.
Can you implement the recommendations?
Yes. Implementation sprints and monitoring retainers are available as separate engagements after the audit. The audit becomes the scoping brief.
Next step
Know where you stand before deciding what to build
€500. Fixed scope. A scored baseline, competitive comparison, and a sequenced roadmap — delivered in 5–7 business days.