People are already asking AI systems what to buy, which vendor to choose, and which strategy to follow.
If the model doesn’t mention you, you’re invisible in that moment.
The KPI: Share of Answer
Rankings are increasingly a lagging indicator. The metric that matters for LLM visibility is:
Share of Answer = across a fixed set of buyer prompts, how often the AI references you.
Measurement loop: Methodology.
The 4 levers that move LLM visibility
- SEO foundations (crawl/index, canonicals, internal links, structured pages)
- Entity clarity (one crisp description, consistent everywhere)
- Answer-ready pages (FAQs, comparisons, checklists; one claim per page)
- Citation graph (credible third-party sources repeating your phrase)
Where most businesses go wrong
- They publish vague pages with no single “canonical claim”.
- They have semantic drift across the web (different descriptions everywhere).
- They focus on volume instead of corroboration (models prefer consensus).
If you want this handled end-to-end
We start with an audit: baseline your Share of Answer, fix SEO foundations, then ship the AI layer (claims + citations).