01 Entity Audit & Baseline
We ask the engines what they already think you are (ChatGPT, Gemini, Perplexity, Google AI Overviews) and map every gap, contradiction and blind spot.
- Visibility scan across the major engines
- Share-of-voice vs competitors
- Contradiction & hallucination log
→ AI Visibility Baseline
02 Identity & Knowledge Graph
We define who you are in a language machines trust: one canonical identity, expressed consistently across every surface an engine cross-checks.
- Canonical identity, in machine language
- Knowledge-graph groundwork
- Profiles & listings, brought into agreement
→ Canonical Entity Graph
03 Authority & Evidence
Models cite what the world corroborates. We build the evidence layer (reviews, case studies, founder-led expertise, and third-party mentions) that turns claims into facts.
- Review & sentiment program
- Sourced case-study library
- PR, expert & founder visibility
→ Proof Engine
04 Answer-Ready Content
We rewrite your knowledge into passages an engine can lift verbatim: direct answers, comparisons, and definitions, structured for the machines doing the reading.
- Answer-first passages
- Question & comparison coverage
- Structured for AI crawlers
→ Citable Content System
05 Distribution & Citations
Being right isn't enough. You have to be everywhere the model reads. We seed and earn citations across the sources that feed the answer.
- Placements on sources engines trust
- Community & expert presence
- Authoritative inbound citations
→ Citation Footprint
06 Measurement
We track the only metric that now matters: how often, and how favourably, you appear inside AI answers, and we compound it month over month.
- Mention & citation tracking
- Share-of-model trendline
- Monthly entity-health report
→ Share-of-Answer Dashboard