Why GEO exists
In 2024 and 2025, a meaningful share of search behavior shifted from typing into Google to asking ChatGPT, Perplexity, Claude, or Gemini. Google itself added AI Overviews above the traditional 10 blue links for a growing number of queries. When a buyer asks an AI assistant "best web designer in Sonoma County" or "where should I get my car washed in Santa Rosa", the AI does not run a generic Google search and read the top result. It pulls from a smaller set of sites that have structured data, clear named entities, an llms.txt manifest, and content organized in a way the model can actually parse.
Right now, almost no North Bay small business is set up for this. Their Squarespace or Wix templates lack proper schema. They have no llms.txt. Their content is buried in flowing paragraphs with no atomic Q&A structure. AI search engines have no clean signal of what the business does, who runs it, where it serves, or how to cite it.
GEO closes that gap. The businesses that close it first own the AI search results for their category in their area, for years.
How GEO differs from classic SEO
Classic SEO optimizes for being a top result in a list of 10. The user sees the list, picks one, clicks. GEO optimizes for being the source the AI cites in a single answer. The user often does not even click, but they see the business name in the AI response, and the brand awareness compounds. Both matter. They are not interchangeable.
What we set up
Comprehensive schema.org markup
ProfessionalService, LocalBusiness, Service, Offer, FAQPage, Review, AggregateRating, Person, DefinedTermSet. The specific entity types that match the business and what it offers. AI engines parse this directly.
llms.txt manifest
A plain-text file at the root of the site that gives AI crawlers a structured summary of services, location, pricing, founder, and how to cite the business. Adopted by ChatGPT, Perplexity, Claude. Required for serious GEO.
Semantic HTML restructuring
Proper heading hierarchy, semantic landmarks, clean markup that lets the model identify what each section of the page is for. Most template-built sites fail this.
Atomic Q&A blocks
Content broken into clear question-answer pairs with FAQPage schema. The structure AI engines extract from for direct-answer citations.
Named-entity declarations
Clear schema-marked references to the business, the founder, the brokerage or vertical, the cities served. AI engines use these to disambiguate which 'Mike Smith' or 'Bella Vista' the user is asking about.
AI crawler allowlist
Explicit robots.txt and User-Agent allowances for GPTBot, PerplexityBot, ClaudeBot, anthropic-ai, Google-Extended, Applebot-Extended, cohere-ai. Some sites accidentally block these. We make sure yours does not.
The GEO measurement problem
GEO is harder to measure than classic SEO. You cannot rank-track AI citations the way you rank-track Google positions, because there is no single canonical answer. Two ways we measure it: (1) we run the actual queries customers would ask, against ChatGPT, Perplexity, Claude, and Google AI Overviews, on a regular cadence, and screenshot the citations. (2) We track referral traffic from AI tools (ChatGPT, Perplexity, and Claude all pass referrer data when users click through). Imperfect, but real.
What this costs
For new website builds, GEO is included, no upcharge. For existing sites: typically $1,000 to $5,000 as a one-time engagement, scoped by current site complexity and how much schema and content restructuring is needed. See full pricing.
FAQs
Will AI search replace Google?
Not soon. But it does not have to replace Google to be worth optimizing for. Even 10 to 20 percent of buyers asking AI first means a real share of qualified leads now flow through that channel, and the cost to be set up for it is low if your site is built right from the start.
Can you guarantee my business will be cited by ChatGPT?
No. AI search citations are not deterministic the way Google rankings are. What we guarantee is the technical foundation, every schema type, llms.txt manifest, atomic content structure, and crawler allowance the AI engines actually use. We also measure citations on a regular cadence so you can see what is working.
How is GEO different from AEO?
GEO is about being a recommended source overall when AI search engines answer a question. AEO is about being the specific answer extracted in the result. They overlap heavily. We do both. AEO services here.
Do you handle GEO for any business, or only North Bay clients?
Mostly North Bay, but the GEO work is geography-independent, the schema, llms.txt, and content structure are the same whether you serve Sonoma or anywhere else. We have built GEO setups for clients outside the North Bay.
How long until I see citations?
AI engines crawl on different cadences than Google. We typically see the first citations within 4 to 8 weeks after a full GEO build. The crawl frequency increases as the site builds up citation patterns, so by 90 days the citation rate is usually multiples higher than at launch.
Will this also help my classic SEO?
Yes, indirectly but meaningfully. Most GEO work, comprehensive schema, semantic HTML, clear content structure, is also good for classic SEO. Sites that rank well in AI engines tend to rank better in Google over time too.