Generative Engine Optimization (GEO): How to Show Up in AI-Generated Search Results
Generative Engine Optimization (GEO) is the emerging discipline of optimizing content so AI-powered search systems — not just traditional search engines — surface your business in their generated responses. Here is what GEO is, how it differs from SEO and AEO, and the specific techniques that get local businesses into AI-generated answers.
A Princeton, Georgia Tech, and Allen Institute study published in 2023 introduced the term "Generative Engine Optimization" to describe a new challenge: how do you ensure your content appears in AI-generated responses, not just in traditional search rankings? The researchers tested different content strategies and measured their effect on visibility in systems like Google AI Overviews.
The finding: traditional SEO techniques don't automatically translate to AI citation. Content optimized to rank in a link list performs differently than content optimized to be synthesized into an AI answer. GEO is the discipline that bridges that gap.
Why generative search changes the visibility equation
Traditional search is additive: your website ranks, it appears in a list, the user sees many options and clicks one. Even if you rank #1, you're one of many visible options.
Generative search is selective: the AI reads many sources, synthesizes an answer, and cites a subset of them. The user sees the AI's recommendation, not a full list. Being cited feels like a direct recommendation — and converts differently than a link.
For local businesses, this matters at two specific touchpoints:
Google AI Overviews appear at the top of many Google search results — above the local pack, above paid ads. When a potential customer searches a service category or asks a how-to question related to your industry, an AI Overview may appear before they ever see your local pack listing. Getting cited in that Overview is the highest-funnel visibility available in search today.
Conversational AI queries — ChatGPT, Perplexity, Claude, Copilot — handle a growing volume of pre-purchase research. "What's the best medspa in [city] for Botox?" answered on ChatGPT produces a different search result than the same query on Google. GEO covers both.
What the research says works for GEO
The Princeton/Georgia Tech/Allen study tested eight GEO techniques and measured visibility improvements in generative AI systems:
Techniques that showed the strongest effect:
- Adding statistics and data — AI systems preferentially cite content that makes specific numerical claims ("79% of roofing failures occur in the first 5 years")
- Quoting authoritative sources — citing recognized authorities increases citation rate significantly
- Fluency improvements — well-written, clear content is cited more often than awkward or keyword-stuffed text
- Simplifying language — content that is easy to read at a variety of literacy levels performs better in AI synthesis
Techniques that showed moderate effect: 5. Adding persuasive language — clearly stated positions perform better than hedged or ambiguous claims 6. Citing first-person sources — content with practitioner expertise signals ("in our experience treating 300+ patients...")
The implication: AI systems don't just want keyword-relevant content. They want authoritative, specific, clearly written content that makes claims and backs them up.
GEO for local businesses: the practical framework
Layer 1: Local entity signals (GBP and citations)
For local queries specifically, generative AI systems pull heavily from GBP data and local citation networks. Your entity — the digital representation of your business — needs to be clearly defined and consistent across:
- Google Business Profile (primary, most weighted)
- Major citation directories (Yelp, Apple Maps, Facebook, Bing)
- Industry-specific directories relevant to your category
- Your own website's structured data (LocalBusiness schema)
A business with conflicting NAP data across these sources is an ambiguous entity — AI systems resolve ambiguity by citing the cleaner competitor.
Layer 2: Content authority signals
The research-backed approach to increasing AI citation:
Be specific. "We've completed over 400 roof replacements in the Greater Dallas area" is more citable than "we have a lot of experience." Specific claims are extractable — AI systems can quote them. Vague claims are not.
Cite authoritative sources. If your content references studies, industry standards, or regulatory requirements, AI systems assess your content as more authoritative. "According to the EPA's indoor air quality guidelines..." performs differently than "experts say."
Write for extraction. AI systems extract sentences and short passages. Content where key information is contained in single, clear sentences — rather than spread across complex multi-clause constructions — is more easily cited.
Structure as answers. FAQ sections, numbered lists, direct responses to the questions your customers ask. AI systems that are answering questions look for content organized as answers.
Layer 3: Schema markup
Schema markup is the fastest technical GEO implementation. It transforms your content from unstructured text that AI systems must interpret to structured data they can read directly.
Priority for local businesses: LocalBusiness schema (entity definition), FAQPage schema (question-answer pairs), Service schema (service definitions), and Review/AggregateRating (trust signals).
Layer 4: Review signals as GEO trust signals
Review count, recency, and response rate are not just local SEO ranking factors. For AI systems making local recommendations, they function as trust signals. A business with 120 reviews averaging 4.8 stars is cited with more confidence by AI systems than a business with 12 reviews — AI systems are performing a version of social proof evaluation when they assess which local businesses to recommend.
The GEO opportunity window
GEO is still early. Most local businesses have not made the structural content and schema changes that AI citation requires. The businesses doing this work now are building a position in AI-generated local recommendations that most competitors have not gotten to yet.
See: GEO vs SEO compared | How to get cited by AI | AEO for local businesses
Get a free local SEO audit that includes a GEO readiness assessment — where you currently stand for AI citation and what the specific gaps are.
Related: GEO vs SEO | Answer Engine Optimization | How AI Recommends Businesses | AI Visibility Optimization
Charles Lau
Founder, Formula Won Labs
Charles Lau is the founder of Formula Won Labs, an AI visibility infrastructure company that helps local businesses rank on Google Maps and get recommended by AI platforms. He works with home service companies, med spas, dental practices, and other local businesses across the US.