Foundation
Crawling, indexing, rendering, canonicals, structured relationships, and passages that remain accessible to retrieval.
Generative engine optimization agency
Build the sources AI answers can retrieve, understand, and cite.
Foliora treats generative engine optimization as a connected system: technical access, first-party evidence, clear entities, source distribution, reproducible observation, and approved execution.
Foundationdiscoverable and renderedEvidencespecific and traceableObservationreproducible and dated
The connected work
Four layers make GEO measurable and actionable.
Separating these layers prevents a visibility score from masquerading as an optimization program.
Evidence
Original facts, methods, specifications, examples, policies, comparisons, and expert explanations.
Distribution
Internal architecture plus honest identification of mentions, profiles, corroboration, and authority gaps outside the site.
Observation
Stored prompts, engines, markets, dates, responses, citation URLs, mentions, competitors, and variance.
Question coverage
A bounded panel of real buyer questions connected to product relevance, source evidence, and current ownership.
Initiative attribution
A timeline connecting published entries to later observations without presenting correlation as guaranteed causation.
The boundary matters
A citation is sampled evidence, not a permanent rank.
AI answers vary by model, product surface, geography, date, context, and prompt. Foliora preserves the underlying observations and reports directional change with uncertainty.
Start with the public surface