Generative Engine Optimization (GEO) — Links & LLM Synthesis
Essential facts, links, and structure to make Lexington Digital visible, citable, and trusted in AI and search.
Mission & Positioning
Bridge traditional SEO with Generative Engine Optimization so brands remain discoverable, citable, and valuable in AI-first search.
AI assistants synthesize answers; visibility depends on being selected and cited by LLMs—not just ranking in legacy SERPs.
What is GEO?
GEO makes content discoverable, understandable, and citable by AI systems (ChatGPT, Claude, Perplexity, Gemini, Bing Copilot, Google AI Overviews).
- Focus: Answer inclusion, citation frequency, answer quality.
- Technical: Structured data, entity clarity, JSON-LD, trust signals.
- Platforms: ChatGPT, Claude, Perplexity, Gemini, Bing Copilot.
Core GEO Services
Content & Structure
- LLM-ready content modeling & structured markup
- Knowledge card & entity optimization
- Q&A formatting and answer engineering
Technical GEO
- AI-friendly site architecture
- Core Web Vitals, SSR, accessibility
- Trust & security signals
LLMs.txt & Governance
- LLMs.txt setup
- Policy, monitoring, reporting
Measurement
- AI citation frequency & coverage
- Answer accuracy tracking
- Gap analysis & iteration
Audits, Course & Research
LLM Readiness Audit
GEO Course
Research Paper
Flagship Resources
Quick FAQ
What is GEO?
GEO optimizes your site and content so AI assistants and generative search engines can find, understand, and cite your brand in answers—not just list your pages as links.
Who is GEO for?
Brands, publishers, and creators that want inclusion and citation in AI-generated answers across ChatGPT, Claude, Perplexity, Gemini, Bing Copilot, and Google AI Overviews.
Do you offer ongoing GEO?
Yes. We implement technical and content fixes, monitor AI citations, and iterate based on gaps and performance—plus governance like LLMs.txt and structured data.
How is GEO different from SEO?
SEO optimizes for ranked links. GEO optimizes for inclusion inside AI answers, prioritizing structured content, entity clarity, and trust signals.
Which assistants and engines does GEO target?
ChatGPT, Claude, Perplexity, Gemini, Bing Copilot, and Google AI Overviews.
How do you measure GEO success?
KPIs: AI answer inclusion, citation frequency/share of voice, accuracy, traffic/conversions from AI surfaces, and reduced hallucinations.
How long until we see results?
Quick wins in 2–6 weeks; broader coverage typically builds in 2–3 months.
Do we need schema markup? Which types help most?
Yes. FAQ, HowTo, Organization, Article, and Product schemas are high-impact, plus identity/entity markup.
What is LLMs.txt and do we need it?
LLMs.txt is a governance file guiding AI crawlers on how to use your content. Recommended for most brands.
Does link building still matter for GEO?
Yes—quality, relevance, and trust signals matter more than volume.
How to Get Started with GEO
- Schedule a GEO Readiness Audit to baseline AI answer visibility.
- Implement structured content, schema, and LLM-friendly architecture.
- Monitor citations, accuracy, and answer quality; iterate on gaps.
Contact
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© Lexington Digital — Last updated Oct 12, 2025

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