The practical definition
LLM visibility is the degree to which AI answer systems can recognize a brand, understand what it is qualified to explain, and surface or cite its content when that content is a useful source. Generative engine optimization, or GEO, is the work of improving those signals.
For a B2B company, the work is usually not exotic. It starts with a better website: clearer service pages, strong educational assets, consistent entity signals, source-worthy examples, and technical foundations that let crawlers read the content.
What changed
Search engines and AI products are summarizing more of the buying journey. That means a page may influence a buyer even when the buyer does not click immediately. The content still has to be useful to people, but it also needs to be easy for machines to segment, summarize, and connect to the right entity.
What to check first
- Can a page answer one buyer question without requiring a visitor to read five other pages first?
- Does the page name the company, service, audience, and expert point of view clearly?
- Are claims backed by examples, sources, original observations, or a named person?
- Can crawlers access the important text without depending on client-side rendering tricks?
- Do internal links connect related service, proof, and educational pages?
What not to do
Do not rewrite pages for bots at the expense of buyers. Do not promise citation guarantees. Do not treat llms.txt, schema, or prompt-like headings as a substitute for genuinely useful answers. Technical hints help only when the underlying page deserves to be understood.
Where EntraSpark fits
We audit the pages you already have, identify answer gaps, build briefs for the highest-value buyer questions, and refresh older content so it is more complete, better linked, and easier to cite.
Apply this to your site
Want a prioritized read on which of your pages AI answers can actually use? The visibility audit covers exactly that — start the conversation.