// AI Search Consultancy
AI search systems discover, parse, and cite content through five technical layers. Most websites fail at least three of them. We identify exactly which ones are suppressing your citation rate and give you a prioritised plan to fix them.
The question is no longer whether you rank. It is whether the AI systems your customers use to find answers are citing your content as the source.
// The audit framework
We audit every domain against the five-phase AI search readiness pipeline. Phases are sequential — failure in an early phase caps the ceiling score of every phase that follows.
Can AI crawlers reach your site? We audit your robots.txt segmentation, confirm real-time retrieval bots are permitted, and check for Web Bot Authentication (WBA) at the edge. A site that blocks the wrong crawlers cannot be cited regardless of how well the content is written.
Can AI agents navigate your domain efficiently? We check for the presence and format compliance of /llms.txt and /llms-full.txt, canonical URL schema declarations, and entity disambiguation rules. Without these, agents waste tokens navigating HTML rather than reading content.
Is your content reaching AI search indexes in real time? We verify IndexNow implementation, Google Indexing API integration, and confirm the domain is indexed by both Google and Bing — the indexes that power ChatGPT Search and Perplexity. A published page that is not indexed does not exist to AI search.
Can AI systems correctly segment and understand your content? We audit atomic chunking compliance, antecedent recovery at section boundaries, semantic HTML5 structure, and JSON-LD schema completeness. Poor parsing produces low-quality embeddings — and low-quality embeddings do not get retrieved.
Is your content being selected and cited? We score each audited page against the GEO-16 framework, evaluate structural feature engineering across macro, meso, and micro levels, and audit off-site consensus signals. Pages reaching the operating threshold achieve a 78% citation rate across Brave, Google AI Overviews, and Perplexity.
// Deliverables
Every engagement produces a structured, actionable report. No generic recommendations. Every finding is specific to your domain, ordered by citation impact.
Pass/fail assessment for every readiness element across all five phases. Each element shows its Relevance Score and Trustworthiness Score so you know what to prioritise and why.
Your current citation likelihood score against the GEO-16 framework, with per-pillar detail showing exactly which of the 16 quality signals are active and which are suppressing your score.
Every finding ranked by citation impact. The highest-leverage fixes appear first regardless of which phase they sit in. Includes quick wins actionable in under 30 minutes.
Structural changes separated from quick fixes, with clear ownership across developer, content team, and platform configuration. Where needed, we provide the technical specifications directly.
// Who we work with
We work with businesses where search discovery is commercially significant and AI search is changing the rules of who gets found.
Publishers
Your content is being used to generate AI answers but your domain is not being cited as the source. We identify what is preventing citation and fix it.
Ecommerce
Products and categories that ranked well in traditional search are not appearing in AI shopping responses. We audit the structured data and content signals driving that gap.
B2B and professional services
Your team produces genuine expertise that AI systems should be citing. We identify the technical and structural barriers preventing that from happening.
Our work is focused on AI search visibility. For broader AI transformation — workforce capability, data systems, enterprise delivery and production implementation — we work alongside trusted partners with deep delivery experience across complex AI programs.
We review your site against the five-phase framework and come back with a direct, specific assessment. No generic recommendations. No pitch deck.
