This isn't a content refresh or a keyword audit with a checklist at the end. It's a structured programme to make your brand the kind of source ChatGPT, Perplexity, and Gemini select, trust, and name.

Here's what's included:

LLM Visibility Audit

We map exactly how your brand currently appears (or doesn't) across the major LLM platforms for your target queries. We identify the gap between where you are and where you need to be, and pinpoint what's preventing citation.

- Which queries in your category trigger AI responses that name competitors
- Whether your brand is being cited, mentioned without a link, or absent entirely
- How your entity signals compare to brands currently being recommended
- Platform-specific gaps: what ChatGPT knows about you vs. what Perplexity finds

Entity and Brand Signal Development

Brand search volume is the strongest single predictor of AI citations, stronger than backlinks, stronger than domain authority. LLMs don't just read your website. They build a model of who you are from everything they can find across the web.

We build the off-site presence that makes you legible to AI systems:
- Third-party editorial mentions and digital PR strategy
- Industry directory and knowledge graph listings (Wikidata, Crunchbase, and others)
- Establishing entity presence across 4+ third-party platforms increases citation likelihood by 2.8x
- Review platform presence on G2, Clutch, and Trustpilot — the most-cited software review platforms across all major LLMs

Content Structuring for Citation

44% of AI citations come from the first 30% of a page's text. LLMs scan for self-contained answers they can lift and use. Content that only makes sense in context of what came before it won't get cited.

We restructure your content so it's built for extraction across all three platforms:
- Answer-first structure on every section that matters
- Clear headings that map to the conversational queries your audience is typing
- Statistical facts and direct quotable statements — facts increase citation likelihood by 22%, quotable statements by 37%
- Schema markup that helps AI systems correctly identify and categorise your content

Platform-Specific Optimisation

Each LLM has a different citation architecture. Analysis of 680 million citations shows ChatGPT, Perplexity, and Gemini source from almost entirely different places. A strategy that only targets one is invisible on the others.

We build platform-appropriate visibility across all three:
- ChatGPT — Wikipedia presence, high-authority publisher coverage, brand search volume
- Perplexity — Reddit engagement, Quora answers, real-time content that surfaces in live web search. Meaningful community engagement can increase citation rates by 4–7x
- Gemini — Google entity signals, structured data, YouTube and multi-modal content presence

Ongoing Monitoring and Iteration

LLM citation behaviour changes with every model update. What gets cited this month may not be what gets cited next. We track your visibility across target queries and adjust the strategy as platform behaviour evolves — because only 16% of brands are systematically tracking AI search performance, and the ones that aren't are flying blind.