AI Visibility at Enterprise Scale
Enterprise sites have the authority to be the source AI models cite and often are not, usually for structural reasons rather than content ones. The obstacle is rarely knowing the fix. It's that the fix requires a template change nobody can ship this year.
What changes at this scale
The edge is often the only route that ships
When a template change needs three quarters of approvals across brand, legal and engineering, injecting structured content at the CDN or edge layer delivers the same result without touching the CMS. That is the pattern I have been running on enterprise stacks.
Entity resolution across a sprawling estate
Large organisations emit contradictory signals: multiple brand entities, inconsistent naming, subsidiaries that look like separate companies. Models cite sources they can identify with confidence, and ambiguity suppresses citation.
Governance so it holds
A one-off structural fix decays the moment the next template ships. The durable version is rules and automated checks that keep new pages compliant without anyone remembering to care.
Benchmarked against named competitors
Leadership will ask how you compare, not whether a number improved. Citation share against a fixed prompt set and a named competitor set answers the question actually being asked.
Everything you get
- Citation baseline across ChatGPT, Claude, Perplexity and AI Overviews
- Crawler accessibility audit for GPTBot, ClaudeBot, PerplexityBot and Google-Extended
- Server-side or edge rendering strategy for JavaScript-heavy stacks
- Edge and CDN-level structured content injection where templates are blocked
- Entity architecture across brands, subsidiaries and markets
- Schema governance and automated validation
- Passage-level content restructuring for extractability
- llms.txt and AI crawler directives
- Prompt-set monitoring on a fixed schedule
- Competitor citation share benchmarking
- Board-ready reporting on AI channel visibility
- Internal briefing so the team can carry it forward
Common questions
Our CMS is locked down. Can this be done without template changes?
Frequently, yes, by injecting structured content at the CDN or edge layer. It is not the ideal long-term architecture, but it delivers the visibility gain now and buys time for the proper fix to work through the roadmap.
How do we know it worked?
A fixed prompt set, run on a schedule, recording whether you are cited and who is cited instead. Citation share tracked over time against named competitors. Without a baseline captured first there is nothing to demonstrate.
Does this cannibalise our existing SEO programme?
No, it largely rides on it. Crawler accessibility and schema work benefits both. The additions are entity disambiguation, passage-level structuring and measurement of a channel your current reporting does not cover at all.
Our brand ranks well on Google. Are we not already fine?
Not necessarily, and it is worth checking rather than assuming. Strong Google rankings alongside zero AI citations is a common pattern, most often because the pages render client-side and the AI crawlers receive an empty document.
Want a straight read on where you actually stand?
Book a free discovery call. I'll come having already looked, and you'll get the findings either way.