GEO · AEO · AI search
Generative engine optimization: get your brand cited by AI
Your next client asks ChatGPT, Perplexity, or Google's AI Mode before they ever see a classic search result. GEO makes sure the answer includes you. We build AI-search visibility for pharma, clinical-trial services, and regulated B2B companies, and we practice every technique on our own site first.
What GEO is, in one paragraph
Generative engine optimization (GEO), often overlapping with answer engine optimization (AEO), is the work of making a brand visible inside AI-generated answers. AI engines read the open web, decide which sources they trust, and cite a handful of them when they answer a buyer's question. GEO covers the technical side (can AI crawlers read you), the entity side (do engines understand who you are), and the content side (is there anything worth citing). Done well, it puts you in the shortlist an AI assistant gives your buyer, which is increasingly the only shortlist that exists.
Measure · Benchmark · Track
AI visibility audit and citation tracking
We test how AI engines see you today: whether their crawlers can reach and read your site, what ChatGPT, Perplexity, and Google's AI experiences actually say about you, and who gets cited for the questions your buyers ask. Then we track mentions, citations, and share of voice monthly, so AI visibility becomes a number you manage, not a mystery.
Entities · Schema · llms.txt
Entity, schema, and agent-ready architecture
AI engines cite sources they can parse and trust. We build that foundation: accurate structured data, consistent entity signals across the web, llms.txt, fast crawlable pages, and CDN-level access for AI retrieval bots. The goal is a site that both Google and a language model can read end to end without executing a line of JavaScript.
Content · Authority · Proof
Citation-worthy content
Engines cite pages that answer real questions with specifics: definitions, data, methodology, and honest limitations. We plan and produce the content your category's AI answers are built from, aligned with classic SEO so the same pages earn rankings and citations, and written to survive expert scrutiny in regulated industries.
We run our own site as the lab
This website is built the way we tell clients to build: static, zero-JavaScript HTML that AI crawlers read in full, llms.txt published at the root, AI retrieval bots explicitly allowed at the CDN, selective and accurate structured data, and monthly tracking of how AI engines mention and cite Sorbet. When we recommend something, it is because we ship it on ourselves first, including years of search-driven B2B lead generation for an international pharma-industry consultancy.
Our longer argument for where this is heading is in The Agent-Ready Web: why the next visitor to your site is increasingly the customer's AI agent, and what that changes architecturally.
How an engagement runs
1. Audit. AI crawl access, entity clarity, current citations, competitor share of voice.
2. Foundation. Schema, llms.txt, technical fixes, crawler access, entity cleanup.
3. Content. The answer-shaped pages and proof assets your category's AI answers draw from.
4. Distribution. The third-party mentions and sources AI engines weigh, plus paid search where it fits (Google, Bing, Copilot surfaces, subject to each platform's eligibility rules).
5. Reporting. Citations, mentions, share of voice, and the only metric that finally matters: qualified conversations started.
Frequently asked questions
What is generative engine optimization (GEO)?
GEO is the practice of making your brand visible and citable inside AI-generated answers, in ChatGPT, Perplexity, Google AI Overviews and AI Mode, Copilot, and Claude. Where classic SEO earns you a ranking, GEO earns you a mention or citation when an AI engine answers a question your buyers are asking.
How is GEO different from SEO?
They share foundations, like clean technical architecture and content worth referencing, but they are measured differently. SEO is measured in rankings and clicks. GEO is measured in whether AI engines can crawl you, understand who you are, and cite you in their answers. We run both together: strong SEO feeds GEO, and GEO captures the growing share of buyers who never click a classic result.
Is GEO the same as AEO (answer engine optimization)?
The terms overlap heavily. AEO usually emphasizes being the direct answer to a question, and GEO emphasizes being cited by generative engines. In practice we cover both: answer-shaped content, entity and schema work, retrieval-friendly architecture, and citation tracking.
Do you actually practice GEO on your own website?
Yes, this site is our lab. It ships as zero-JavaScript static HTML so AI crawlers read the full content, it publishes llms.txt, it explicitly allows AI retrieval bots at the CDN level, and we track how often AI engines mention and cite Sorbet. We show clients the same instrumentation we use on ourselves.
Who is GEO most valuable for?
Companies with considered, high-trust purchases, pharma and life-science vendors, clinical-trial services, and regulated B2B, because their buyers increasingly start with an AI assistant instead of ten blue links. If an AI engine answers "who are the leading providers of X" without you, you were never in the deal.
What about ads in AI experiences?
Paid AI-search visibility is evolving fast: Google serves ads into AI Overviews and AI Mode through AI Max for Search, and Microsoft serves ads inside Copilot. Eligibility varies by industry, healthcare currently has restrictions in some AI placements, so we treat paid AI surfaces as one channel in the mix and never promise a specific placement.
Find out what AI says about you
Book an intro call and we will show you, live, how AI engines answer the questions your buyers ask, and where you stand in those answers.
