AI Visibility Resources
Evergreen frameworks, in-depth guides, and reference material for building and measuring AI visibility. The long-form companion to our blog.
Built To Be Used, Not Gated
These are the working frameworks behind every programme we run.
We document them in the open so that even brands not engaging us can apply the same discipline: audit where you stand, map the sources that matter, earn the coverage, and measure the citation lift.
The blog covers what’s changing week to week. This is the durable material: methodology, industry maps, and the vocabulary you need to run an AI visibility programme well.
How To Use This Library
Start with the four-phase process to see how a programme runs end to end, then read the glossary if the vocabulary is new. If you are weighing whether to run this in-house or with a partner, the programme comparison and the citation network show the depth involved. Everything here reflects the exact methodology we use on live engagements, documented in the open so you can apply the same discipline whether or not you work with us.
Operating Frameworks And Methodology
How every programme actually works, documented for transparency.
The four-phase process
Audit, strategy and publication mapping, editorial execution, and measurement. The complete working framework with deliverables and timelines.
See the process →The citation network
How our 255-publication network is composed across four tiers, and why source diversity beats raw domain authority.
Explore the network →Programme comparison
Five programmes calibrated by stage: startup, flagship, technical, vertical, and enterprise. A side-by-side comparison.
Compare programmes →Outcome case studies
Documented citation-share growth and category movement across B2B SaaS, fintech, and healthtech, anonymised where required.
Read case studies →How AI Discovery Works In Each Sector
Sector-specific maps of the buyer journey and source ecosystem.
SaaS and software
How models discover and recommend SaaS. Buyer journey, publication ecosystem, and integration-query mechanics.
Read the guide →Fintech
The compliance-aware signal architecture for fintech, including regulator-adjacent sources and multi-stakeholder journeys.
Read the guide →Healthtech
The most source-restrictive category: peer-reviewed sources, clinical validation, and long procurement cycles.
Read the guide →Quick Reference
AI visibility glossary
Clear, jargon-free definitions of the terms behind brand mentions and AI citations.
Open the glossary →Frequently asked questions
Detailed answers on how AI visibility works, programme mechanics, pricing, and results.
Read the FAQ →The blog
Week-to-week commentary on how AI assistants are changing brand discovery.
Read the blog →Put The Frameworks To Work
Start with a free audit. We’ll apply the same methodology to your brand and show you exactly where you stand across the major AI assistants.
More on the concepts behind AI visibility:
- AI search market share by category
- AI search reputation crisis management
- What a good GEO score benchmark looks like
- Semantic completeness scoring, explained
- The LLM content recency and primacy effect
- llms.txt versus robots.txt
- How AI detectors actually work
- Optimizing for Google AI Mode
- What AI brand impersonation is and how it works