LLMs Visibility Audit · Most Valuable
A four-engine LLM visibility benchmark — entity recognition, citation share, knowledge graph, AEO and GEO — bundled with the full SEO & GEO Compatibility Audit. Delivered as an executive report in 24 hours.
The Shift Boardrooms Cannot Ignore
60%
B2B Journeys via AI
by 2026
4
LLMs Benchmarked
ChatGPT · Claude · Gemini · Perplexity
100+
Buyer Queries
tested per audit
<24h
Delivery
executive-ready PDF
By 2026, the majority of B2B research journeys include a generative AI assistant before a sales conversation. If ChatGPT can't name you, Perplexity can't cite you, and Gemini can't match you to a Knowledge Panel — your pipeline is leaking quietly, every single day.
Six intelligence layers across the four LLMs your buyers actually use — plus the entire SEO & GEO foundation underneath.
Whether ChatGPT, Claude, Gemini, and Perplexity can identify your brand as a verified entity — not a generic descriptor or competitor look-alike.
How often you are cited, recommended, or surfaced in AI answers for category-defining buyer queries vs. your top 3–5 rivals.
Wikipedia / Wikidata records, sameAs references, Google Knowledge Panel match, and the structured signals that anchor brands inside LLM training data.
Whether your content is structured for extractive AI answers — answer-ready blocks, FAQ schema, llms.txt, and source attribution surfaces.
The authority, freshness, and entity signals generative engines weigh when deciding which brands to surface in answers.
Per-engine gap analysis — where each LLM diverges in how it describes, evaluates, or omits your brand and category.
Four-Engine Benchmark
OpenAI · 200M+ weekly users
Recall, recommendation share, source attribution
Anthropic · enterprise default
Entity recognition, factual grounding, citation depth
Google · woven into Search
Knowledge Panel match, answer presence, sameAs graph
Answer engine · citation-first
Citation frequency, recommendation rank, source diversity
Current vs. Potential
Today
After Remediation
Brand absent from ChatGPT category recommendations
Cited as recommended vendor in 60%+ of buyer queries
Perplexity returns competitors when buyers research you
Owned citations across comparison and evaluation queries
Gemini cannot match brand to Knowledge Panel
Verified entity with full structured signal coverage
AI assistants describe you generically — or incorrectly
Consistent, on-brand entity description across all four LLMs
No visibility into AI share-of-voice
Continuously measurable LLM share-of-voice baseline
Commissioned By
Where buyer journeys now begin in an AI assistant, not a search box.
Who need quantified AI share-of-voice — not vendor opinion.
Treating AI visibility as a strategic asset, not a marketing line item.
It measures how ChatGPT, Claude, Gemini, and Perplexity perceive, describe, cite, and recommend your brand across the queries your buyers actually ask — and prescribes the entity, schema, and content fixes to shift those answers.
Traditional SEO optimises for Google's blue links. LLM visibility optimises for the answer itself — whether an AI assistant names you, cites you, or steers buyers to your competitors during evaluation.
Yes. The LLMs Visibility Audit is a superset — it includes the full SEO & GEO Compatibility Audit plus four-engine AI visibility benchmarking.
ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), and Perplexity — the four engines that cover the majority of B2B research today.
Reports are delivered within 24 hours of submitting your brand profile and competitor set.