LLM SEO That Builds the Foundation Every AI System Draws On

AEO focuses on getting your brand cited inside generated answers, and GEO is the umbrella term for that discipline. LLM SEO works one layer down, on the raw material: the accuracy and presence of your brand in the sources models learn from and retrieve. AIO covers the technical and schema foundation of your own site. The three are complementary, and LLM SEO is not a repeat of either.

Not necessarily. Wikipedia has strict notability and neutrality rules that many businesses do not meet, and we never recommend anything that breaks them. Where a Wikipedia entry is appropriate we can support it within the rules; otherwise Wikidata, structured data, press coverage and community presence can strengthen how models see you.

We cannot inspect a model’s training data directly, so we measure what is observable: how LLMs describe your brand when prompted, which sources they cite, how accurately and favourably they represent you, and how well the sources they draw on cover you. We track those patterns over time against a baseline set before work begins.

Timelines vary by how established your brand already is, how quickly sources are updated and how often models refresh what they retrieve. Retrieval-based changes can appear sooner than training-based ones. We establish a baseline first, then report movement in mention accuracy, source coverage and supporting search performance.