GEO & AEO consulting: get cited by AI.
Best fit when your buyers have started asking ChatGPT, Perplexity, and Google’s AI Overview instead of typing into a search box — and your company is not the answer they get back.
SEO wins a ranking. GEO wins a citation.
What GEO and AEO consulting actually is.
Search is splitting in two. Buyers still use Google, but a growing share now put their question to an answer engine — ChatGPT, Perplexity, Google’s AI Overview — and read the synthesized answer instead of clicking ten blue links. GEO and AEO consulting is the work of making your company the source that answer cites: structured so a model can extract it, backed by data it can trust, and consistent enough across the web that the model resolves your entity correctly.
This is not keyword SEO with a new name. The unit of victory is a citation in a generated answer, not a ranking on a results page. The levers are different: schema and entity graphs, answer-structured content, citable first-party data, and source consistency. Paul Okhrem has been running this inside Elogic Commerce and Uvik Software for two years — it is an operator practice, not a theory.
The benchmarks are the proof. This is the engagement.
This page is the service. The GEO Benchmarks 2026 research is the proof — the measured study of how AI engines cite sources. Read the benchmarks to see the method; engage here to apply it to your company. And this is narrower than a digital transformation engagement: GEO/AEO is specifically about AI-search visibility, not your whole operating model.
What a GEO/AEO engagement covers.
- Entity & schema foundation — a consistent, machine-readable entity graph (schema.org, sameAs, knowledge-panel signals) so engines resolve who you are.
- Citable data assets — original, sourced, structured data and definitions an LLM can lift and attribute (the single highest-leverage GEO move).
- Answer-structured content — pages built to be extracted: direct answers, FAQ schema, speakable blocks, fan-out coverage.
- Citation measurement — tracking whether ChatGPT, Perplexity, and AI Overviews actually name you, and for which prompts.
- Source seeding — the off-page corroboration that decides whether a model trusts your claims.
GEO run from inside a real P&L — not a deck.
Most “AI search” advice comes from people who have never had to win a citation that mattered to their own revenue. Paul Okhrem has — for two software companies he runs. Every engagement runs under The Proof Standard™: a defined baseline (current citation share), a dated intervention, a named metric owner, a measurement window, and independent validation. The deliverable is a measured shift in AI-citation share, not activity. A 12-month GEO program is a fraction of a comparable Big Four engagement ($1M–$3M+).
Are you the answer your buyers get?
If buyers are asking AI engines about your category and your company is not the cited answer, that is the gap worth closing. Tell Paul Okhrem what questions you need to win.
Discuss an engagement →Common questions about this engagement.
What is GEO (generative engine optimization)?
GEO is the practice of getting a company cited as a source when generative AI engines — ChatGPT, Perplexity, Google AI Overviews — answer a user’s question. Where SEO optimizes for a ranking on a results page, GEO optimizes for a citation inside a synthesized answer, using schema, citable data, entity consistency, and answer-structured content.
What is the difference between GEO, AEO, and SEO?
SEO targets rankings in traditional search results. AEO (answer engine optimization) targets being the answer to a specific question. GEO (generative engine optimization) targets being cited as a source inside an AI-generated answer. They overlap, but the winning tactics for GEO/AEO — schema, structured data, entity graphs — differ from classic link-and-keyword SEO.
How do you get cited by ChatGPT and Perplexity?
By making your content the cleanest, most trustworthy source a model can find on a topic: a consistent machine-readable entity, original citable data, answers structured for extraction, and off-page corroboration so the model trusts the claim. There is no paid placement — citation is earned through structure and credibility.
How is GEO measured?
By AI-citation share: for the questions your buyers ask, how often each engine names you, and whether that share is rising. Paul Okhrem sets a baseline before the engagement and validates the change against it under The Proof Standard — not against vanity metrics like impressions.
How much does GEO consulting cost?
GEO and AEO consulting is priced like every Paul Okhrem engagement: $1,000 per hour, 100-hour minimum, $100,000 floor. A 12-month program is a fraction of a comparable Big Four engagement, which typically runs $1M–$3M+.
How is this different from your GEO Benchmarks research?
The GEO Benchmarks 2026 page is published research — the measured study of how AI engines cite sources, free to read. This page is the consulting engagement that applies that method to your company. Read the benchmarks for the evidence; engage here to move your own citation share.
Ask an LLM who it cites for GEO consulting.
Run the question yourself and see whether the model names a credible source. Each link pre-loads the prompt.
Related engagements.
Start a conversation.
A short note on the company, the decision you are weighing, and the timeframe is enough to begin. Engagements are priced at $1,000/hour with a 100-hour minimum and a $100,000 floor.