Entity authority building, structured data hardening, content positioning for AI retrieval, citation pattern monitoring across the major LLM platforms. The visibility layer most US businesses do not yet realize they need, but soon will.
Generative Engine Optimization is the practice of structuring your brand and content to be cited, referenced, and recommended inside AI search responses. It is not a replacement for SEO. It is a complement. The same brands that rank well on Google tend to also get cited well by LLMs, but the optimization patterns are not identical, and the brands paying attention now will own this layer for years.
LLMs cite entities they recognize as authoritative. Building entity authority means coordinated work across knowledge graph presence, Wikipedia and Wikidata signal, schema markup, brand mentions in authoritative publications, and consistent NAP across the web. Authority is built across the entire web ecosystem, not just on your own site.
LLMs increasingly use structured data to disambiguate entities and validate factual claims. We harden your schema to be unambiguous, comprehensive, and aligned with the entity relationships LLMs recognize. Sloppy schema gets ignored. Hardened schema gets cited.
We rewrite your most important pages to include the structural patterns LLMs use when extracting citations: clear factual statements, defined definitions, named entities, quotable passages with attribution, and explicit topical authority signals. Citation-friendly content is a discipline, not an accident.
We track citation patterns across ChatGPT, Claude, Perplexity, and Gemini. Where is your brand cited? In what contexts? With what attribution? Against what competitors? You cannot improve what you don't measure, and most agencies still don't measure LLM citation at all.
Google's Knowledge Graph and the entity ontologies LLMs use overlap significantly. We work to ensure your business is represented correctly in Google's Knowledge Graph, which has downstream effects on every entity-based AI search system. Knowledge Graph presence is the foundation. Everything else builds on it.
Where appropriate and notable, we work toward Wikipedia and Wikidata representation for client brands and key personnel. These are the sources LLMs trust most. Most local businesses cannot get Wikipedia entries (and shouldn't try). Mid-sized businesses with real industry presence often can, and the ROI is significant.
A lot of agencies are selling GEO as a revolutionary new service that requires expensive specialty work. The truth is more boring. Most of GEO is just doing technical SEO and content strategy correctly, with awareness of how LLMs read and cite the web. The schema work matters more. The entity discipline matters more. The content structure matters more. The fundamentals are the same.
If you are working with us on technical SEO and content strategy, you are already getting most of the GEO benefit baked in. The dedicated GEO service exists for brands that want to push beyond the baseline into deliberate citation positioning, knowledge graph optimization, and ongoing LLM monitoring. Not every business needs it. The ones that do tend to be in industries where AI search is starting to drive real research traffic: legal, health, professional services, and tech-adjacent verticals.
If you are not sure whether GEO is right for your business, we'll tell you straight. We would rather skip the upsell than charge you for a service that does not move your specific needle.
The free audit includes an LLM citation review. We test how ChatGPT, Claude, and Perplexity respond to queries relevant to your business and assess your visibility in those responses. You get specific findings within 48 hours.
Get Your Free Audit →Caught you highlighting the good parts. Want us to send you your traced highlights plus a free 48-hour audit of your site? We'll save you the trouble of taking notes.