CiteSite AIGuides
Long-form references on how AI search engines find and cite websites. Written from what CiteSite measures rather than from what the field assumes, and revised when the measurements change.
Generative engine optimization (GEO): the complete guide
How AI engines discover, interpret and cite information, and what actually changes whether a brand appears in a generated answer.
AI visibility: how to measure it
What AI visibility means, what can honestly be measured, and how to read the numbers without over-reading them.
AI crawlers: which to allow, which to block, and what each costs
A reference to the sixteen crawlers worth knowing about, sorted by what they are for. Blocking a training bot costs nothing. Blocking an answer bot costs every citation.
JavaScript and AI search: what a crawler sees before your code runs
Most answer engines read the HTML you serve and execute none of it. What that means for a client-rendered site, how to tell what is actually arriving, and what to move to the server.
Competitive analysis for AI search
Every visibility number is computed against a set of rival brands. How to choose that set, how to tell when it has gone stale, and why the wrong one makes a confident dashboard meaningless.
Entity SEO: making a machine certain of who you are
How AI systems decide what your company is, where they get the answer, and what to declare so they stop inferring it from your navigation and headings.
Search Console and AI search: what it shows, what it hides
AI Overview clicks are folded into your web search numbers with no breakdown, and no other answer engine reports anything at all. What the data supports, and where to get the rest.
AI search optimization
The technical and editorial work that makes a site legible to AI search, and how it differs from optimising for a ranked list.