GEO and AEO: one program
GEO and answer engine optimization describe nearly the same work from two angles: being cited inside generative answers, and being the answer an assistant gives. We plan them together, on a foundation of SEO.
Generative engine optimization · GEO
Generative AI writes its answers from sources: pages it retrieves, publications it trusts, profiles and reviews it can verify. If you are missing from those sources, or described inconsistently across them, you are missing from the answer. Our GEO work finds the sources that matter in your category and improves your place in them.
Generative engine optimization (GEO) is the practice of improving how often and how accurately a brand is cited in answers written by generative AI, such as ChatGPT, Gemini, Perplexity and Google AI Overviews. It works on the sources those systems read: your site, your structured data, and what credible third parties say about you.
Before / after
Typical patterns we see before Generative Engine Optimization work begins, and what the work is designed to change. Patterns, not promises.
AI answers in the category cite a few directories and publications where the brand is absent
A presence in the sources generative engines actually cite
The brand's own pages are rarely quoted, because answers are buried in long copy
Clear, self-contained passages that are easy to quote and attribute
Crawler access, schema and page speed quietly block retrieval
Pages that retrieval systems can reach, read and interpret without friction
No baseline for how often the brand is cited
A tracked share of AI answers across a fixed question set, reported over time
The work
6 workstreams, run as one program by one senior team.
| Assistant | Status | Of 12 questions |
|---|---|---|
| ChatGPT | Mentioned | 3 |
| Google AI Overviews | Absent | 0 |
| Gemini | Named | 5 |
| Perplexity | Mentioned | 2 |
| Claude | Mentioned | 1 |
Which sources generative AI cites for the questions that matter in your category, and where you are missing from them.
Earning a credible place in those sources: publications, directories, associations and reference sites.
Clear, specific passages that answer a question in a few sentences and stand on their own when quoted.
A consistent account of who you are across your site, structured data and key profiles, so AI can tell you apart.
Crawler access, speed, clean markup and llms.txt, so retrieval systems can read your pages without friction.
Your share of AI answers over time, with the sources cited and the competitors named.
GEO and answer engine optimization describe nearly the same work from two angles: being cited inside generative answers, and being the answer an assistant gives. We plan them together, on a foundation of SEO.
FAQ
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A GEO agency studies which sources generative AI systems cite for the questions that matter to a business, then improves the business's presence in those sources and on its own site, and tracks how often it is cited.
No. In AI search, GEO means generative engine optimization. It is unrelated to geotargeting or local SEO, which we offer separately.
No. Generative engines often retrieve pages through search before they answer, so SEO remains the foundation. GEO adds attention to citations, sources and how the brand is described.
With prompt sampling: a fixed set of client questions run across assistants on a schedule, recording mentions, descriptions, competitors named and sources cited.
No. No one controls what a generative model writes. GEO improves the conditions that make a citation likely, and we report honestly on how they change.
Who this is for
Generative Engine Optimization
We test the questions your clients ask AI assistants and show where you appear today, then explain how Generative Engine Optimization work would change that.