AI LENS™ is the Business Knowledge Acquisition Engine. Before AI can understand your business, all relevant knowledge must be identified, extracted, structured, and mapped. AI LENS™ does this systematically — across 100 dimensions, seven visibility categories, and five output files.
AI systems do not understand businesses the way humans do. A human reading a website can infer context, fill in gaps, and make reasonable assumptions. AI systems cannot. They rely on explicit, structured, machine-readable data.
The first question is not how to fix visibility. The first question is what information exists, what is missing, and what must be created before any signal can be deployed. AI LENS™ answers this question. It is the diagnostic and knowledge-building engine that every other product in the platform depends on.
AI LENS™ performs a complete business knowledge acquisition across five structured functions.
Catalogues all existing business information — website content, documents, service brochures, team profiles, case studies, certifications, social profiles, and directory listings. Every piece assessed for accuracy, completeness, machine-readability, and AI-visibility relevance.
Every identified entity is mapped — the business, every service, every team member, every location, every certification, every award, every client type, every partner, and every competitor. Relationships typed and directional.
Every piece of information AI systems need but that does not yet exist in structured form is logged in the Gap Registry. Missing service descriptions, absent founding date, no intent mapping — all gaps ranked by impact and referenced to the downstream fix.
The primary output. A structured visual representation of everything AI can and cannot find about the business — across 100 dimensions, seven categories, with green (present), red (missing), and amber (inconsistent) status for each dimension.
The canonical structured representation of the business as AI systems need to understand it. The primary source of truth for all downstream products — AI READY™, SIGNAL COMPILER™, KNOWLEDGE GRAPH™, and TRUST LAYER™.
A structured map of all buyer intents the business should appear for — the queries that trigger them, the services that satisfy them, and the negative intents it should be excluded from. Input for AI SIGNALS™ and KNOWLEDGE GRAPH™.
Every dimension is assessed with a green, red, or amber status. The result is the AI Visibility Information Map™.
Legal name, trading name, all name variants, primary category, subcategory, NACE/SIC code, founding date, canonical URL, social profiles, company registration, VAT, entity type, sameAs references, and all legal identifier types.
Primary location, registered address, operating locations, service geography, country coverage, city coverage, language coverage, time zone, currency, market segment, regulatory jurisdiction, and local directory presence.
Service names, descriptions, categories, types, target client sector and size, problem solved, solution approach, delivery format and timeline, pricing model and range, outcome delivered, differentiator, guarantee, case evidence, and technology used.
Primary and secondary buyer intents, negative intents, FAQ coverage, query-to-service alignment, buyer persona definitions, buyer journey stage coverage, seasonal demand signals, urgency triggers, and all intent filter types.
ai.json, llms.txt, robots.txt AI-permissive status, sitemap currency, all Schema.org types, JSON-LD validity, canonical URL consistency, page speed, mobile readiness, HTTPS, structured data errors, AI crawler accessibility, and edge delivery status.
LinkedIn, Crunchbase, company registry, directory consistency. sameAs link validity, external mention consistency, name, address, founding date, service description, team profile, and certification reference consistency across all sources.
Citation count and quality, sector directory presence, professional body membership, award and certification schema, case study presence and schema markup, proof file status, OTS anchor, third-party verification, and review schema.
No website access required. AI LENS™ reads publicly accessible sources and any documents you provide.
All machine-readable content extracted and structured. Schema markup validated. AI crawler accessibility checked.
Service brochures, capability statements, case studies, and certification documents — any PDF or text document you can provide.
Registration details, certifications, team profiles, founding date, and any other structured business information.
LinkedIn company page, Crunchbase profile, directory listings, and any other public external representations of the business.
Every piece of business information that exists — format, location, and AI-visibility status. The audit of what you have before building what is missing.
Every entity — business, services, team, locations, certifications — with stable identifiers, full property sets, and relationship maps. Primary input for KNOWLEDGE GRAPH™.
All buyer intents the business should appear for, all queries that trigger them, all services that satisfy them, and all negative intents. Primary input for AI SIGNALS™.
Complete list of every piece of information AI systems need that does not exist in machine-readable form. Ranked by impact. Referenced to the downstream product that closes each gap.
The structured representation of the business as AI understands it. Source of truth for AI READY™, SIGNAL COMPILER™, KNOWLEDGE GRAPH™, and TRUST LAYER™.
Business provides website URL, primary service category, target geography, and any existing documents. No credentials required.
AI LENS™ extracts all machine-readable information from the website and documents. Entity candidates identified. Service descriptions parsed. Certifications catalogued.
Every extracted piece of information structured into the entity and relationship model. Every gap identified against the 100-dimension framework.
Every extraction reviewed by a human analyst. Ambiguous classifications resolved. Missing information flagged for creation. HITL checkpoint — nothing invented.
All five output files generated. Business Knowledge Graph™ built. AI Visibility Information Map™ produced. Gap Registry finalised.
All outputs delivered within 24 hours. Optional 30-minute debrief call to walk through findings and recommended next actions.