Topics

The family of practices that improve how people, organizations, and content are found in web search and AI-mediated retrieval.

SEO · Organic search work covering strategy, technical implementation, content, and measurement across web search.

SEO Engineering · Crawling, indexing, rendering, canonicalization, and the engineering systems that make search and AI retrieval possible.

Search program work inside large, multi-site or multi-market organizations: governance, platforms, and organic leadership.

Local pack visibility, business profiles, location pages, citations, and geo-modified organic demand.

Hreflang, market targeting, and organic visibility across languages and countries.

Content strategy and production measured by organic and AI-search visibility rather than publishing volume.

AI Search, AI SEO · Crawlability, retrieval, ranking, and citation as search systems shift from ten blue links toward AI-mediated answers.

Measurement and improvement of how brands, products, and people are represented across assistants and generative search.

AEO · Making organizations selectable and citable in answer engines through question architecture, extractable explanations, and structured facts.

GEO · A search and AI visibility discipline focused on improving how information and entities are retrieved, interpreted, and surfaced by generative search systems.

LLM SEO, LLM Optimization · How entities and source material are discovered, grounded, and cited inside large language model answers.

Entity Optimization · Canonical identity, sameAs discipline, and the work of keeping one real-world thing resolvable across pages and graphs.

Citation Optimization, AI Citation Engineering · Improving whether and how source pages are selected as citations inside AI answers, without fabricating authority claims.

AI Retrieval, Retrieval · The engineering of query understanding, indexing, and ranking that sits underneath both classic search and generative answers.

JSON-LD · Machine-readable facts, typically Schema.org in JSON-LD, generated from canonical records rather than hand-maintained blobs.

Schema Markup · The shared vocabulary used to describe jobs, organizations, people, occupations, and other entities on the public web.

Knowledge Graph Engineering · Entity modeling, persistent identifiers, and the pipelines that keep HTML, JSON-LD, and discovery surfaces aligned to one source of facts.

Deciding when two records refer to the same real-world entity and collapsing them onto one canonical identifier.

Infrastructure for crawling, indexing, ranking, and retrieval systems used by search products.

Planning what to publish, for whom, and how those pages map to questions, entities, and retrieval systems.

Measurement of search and AI-search outcomes from first-party data rather than vanity rankings.

Earned coverage and citations that support entity visibility in search and answer systems.