SEO Strategy
AI Search & LLM
Optimization (GEO)
Traditional SEO ranks your pages in Google's blue-link results. GEO (Generative Engine Optimization) goes further — it structures your content so that AI-powered search tools like ChatGPT, Perplexity, and Google AI Overviews cite your business in their answers.
What is GEO?
Generative Engine Optimization is the practice of structuring website content so it can be accurately extracted, cited, and recommended by large language models (LLMs) and AI search engines.
When someone asks ChatGPT “what is the best scooter rental company in Cebu?” — the AI does not rank pages like Google does. It reads indexed content, synthesizes an answer, and cites sources. To be cited, your content must be clearly written, factually accurate, well-organized, and marked up with structured data.
GEO is not a replacement for traditional SEO. It is the next layer — and it is already affecting how customers discover businesses.
Where AI search matters for your business
Google AI Overviews
Google's AI-generated summaries that appear at the top of search results. If your content is clear, well-structured, and authoritative, AI Overviews pull directly from it — placing your business above traditional rank 1.
ChatGPT web search
When users ask ChatGPT questions with web browsing enabled, it cites indexed websites. Pages with clear, factual, well-formatted content are preferred. Structured data and schema markup improve citation likelihood.
Perplexity AI
A search engine powered by LLMs. Crawls the web and synthesizes answers from multiple sources, citing each one. Appearing as a cited source in Perplexity drives qualified traffic from research-intent users.
Bing Copilot (Microsoft)
Microsoft's AI-powered search integration. Pages that meet Bing's indexing standards and contain citable, structured content are included in Copilot answers across Windows, Edge, and Microsoft 365.
How Skaly optimizes for AI search
JSON-LD structured data (Schema.org) on every page — helps AI parse your business, services, prices, and location accurately
llms.txt file in your site root — a new standard that explicitly tells AI crawlers which pages to index and what your business does
Clear, factual, direct content structure — no vague marketing language that AI systems cannot parse
FAQ sections with direct question-answer pairs — AI Overviews frequently pull from FAQ content
Entity clarity — your business name, location, and services are stated clearly on every page, not implied
Passage-level citability — individual paragraphs are written to be self-contained and extractable as AI citations
Open Graph and Twitter Card meta tags — improve how your content previews when shared or referenced by AI tools
The E-E-A-T connection
Google's quality guidelines use E-E-A-T: Experience, Expertise, Authoritativeness, and Trustworthiness. LLMs apply similar criteria when deciding which content to cite.
Experience
Real examples, case studies, customer outcomes
Expertise
Deep, accurate, specific content — not generic
Authoritativeness
Backlinks, citations, GBP reviews, brand mentions
Trustworthiness
HTTPS, real contact info, transparent pricing, reviews