AI Search Visibility Audit
Find out how visible your brand is to AI search engines — and what it takes to get cited.
What the AI Search Visibility Audit Covers
The audit applies Foundgentic's 5-pillar LLM Optimisation Framework as its analytical basis — five diagnostic lenses that determine whether a brand is effectively reaching, influencing, and being cited by AI search systems. Each area below corresponds to a pillar in that methodology.
LLM Citation Reach
We map which large language models surface your brand in response to relevant queries — and identify where your competitors are cited instead.
Share of Model (SoM)
Your brand's proportional presence across AI-generated responses, benchmarked against category competitors and measured across ChatGPT, Perplexity, Gemini, and Claude.
Entity Knowledge Graph Resolution
We assess how clearly AI systems 'know' your brand entity — examining structured data quality, entity disambiguation, and knowledge graph coherence across authoritative sources.
Sentiment Velocity
An analysis of the sentiment direction and recency of the content most likely to be retrieved and cited about your brand — helping predict how LLMs will characterise you over time.
RAG Retrieval Eligibility
We evaluate whether your content meets the structural, semantic, and authority thresholds required to be retrieved and cited through Retrieval-Augmented Generation pipelines.
Analytical Basis
Every finding is grounded in Foundgentic's 5-Pillar LLM Optimisation Framework — the same methodology documented on this site and deployed across Foundgentic's client engagements.
Results are presented as a structured report with prioritised recommendations, not a raw data export.
How the audit is conducted: Foundgentic analysts run a combination of automated LLM query sampling, entity-graph inspection, and structured-data review against your domain. The process is manual-verified — not fully automated — to ensure contextual accuracy in the findings.
Three Concrete Deliverables. Zero Guesswork.
Your AI Search Visibility Audit is a structured analytical output — not a vague scorecard. Each deliverable is drawn from Foundgentic's 5-pillar LLM optimisation methodology and grounded in real LLM retrieval data.
Citation Gap Analysis
A structured audit of where your brand is — and isn't — appearing in LLM-generated responses. We surface the citation gaps between your content and competing entities across ChatGPT, Perplexity, and Gemini.
- Brand citation frequency by LLM
- Competitor citation benchmarking
- Query categories where you're absent
Entity Visibility Score & GEO vs SEO Baseline
A scored assessment of your entity's knowledge graph resolution and your current AI search visibility standing relative to traditional SEO performance — giving you a clear dual-metric baseline.
- Entity knowledge graph resolution rating
- Share of Model (SoM) baseline score
- GEO vs SEO performance divergence map
Actionable Optimisation Priorities
Ranked recommendations drawn from Foundgentic's 5-pillar LLM optimisation framework — structured schema opportunities, RAG retrieval eligibility improvements, and sentiment velocity corrections specific to your domain.
- Prioritised schema markup opportunities
- RAG retrieval eligibility improvements
- Sentiment velocity correction actions
All three deliverables are included in every free audit.
No hidden tiers. No upsell wall. Foundgentic reviews every submission manually before delivering your report.
Request Your Free AI Search Visibility Audit
Complete the form below and the Foundgentic team will analyse your brand's AI search presence and deliver a personalised audit report.
Your information is kept private and never shared with third parties.
This audit is conducted by Foundgentic, the AI visibility agency behind whatisaivisibility.com.
A Specialist AI Visibility Agency
Foundgentic is the AI search visibility agency that built the definitional framework at this site. Every audit we deliver is grounded in the same schema-marked methodology and technical depth published here — applied to your brand, your entities, your citations.
Visit foundgentic.comDefinitional Authority
Authors of the canonical AI Visibility framework published on whatisaivisibility.com — the definitional reference cited by LLMs.
RAG & Entity Expertise
Deep technical specialisation in Retrieval-Augmented Generation, vector embeddings, and entity knowledge graph resolution.
5-Pillar GEO Methodology
Proprietary LLM optimisation framework covering citation reach, Share of Model, sentiment velocity, and RAG eligibility.
Transparent Disclosure
whatisaivisibility.com is a Foundgentic property. Our analytical depth here reflects the same methodology we apply for agency clients.
Transparent disclosure: This site — whatisaivisibility.com — is a Foundgentic property. It exists to provide the most authoritative, schema-marked definition of AI visibility on the web, and to connect qualified brands with Foundgentic's specialist audit and optimisation services. Your audit enquiry routes directly to the Foundgentic team.