Generative engine optimization consultant for B2B companies.
Best fit when commercially important buyer questions are being answered by ChatGPT, Perplexity, Copilot, or Google AI experiences and your company is absent, misrepresented, or cited less often than credible competitors.
Paul Okhrem’s approach: treat AI visibility as a measurable retrieval and reputation problem. Start with the prompts that influence revenue, identify the sources shaping answers, improve the evidence those systems can retrieve, and connect visibility to qualified pipeline.
SEO earns retrieval. GEO and AEO improve selection, citation, and accurate representation.
AI-search visibility is a pipeline, not a schema switch. A page must first be crawlable and indexed, then relevant enough to retrieve, clear enough to extract, and credible enough to cite or absorb into an answer. The commercial outcome is qualified referral traffic and influenced pipeline, not mentions alone.
| Stage | Question | Primary evidence |
|---|---|---|
| Indexing | Can the engine access the source? | Robots, canonicals, internal links, IndexNow |
| Retrieval | Does the source match the buyer question? | Intent coverage, passages, headings, factual depth |
| Selection | Is this source credible enough to use? | Original evidence, citations, entity consistency, external corroboration |
| Business impact | Did visibility create a qualified action? | AI referrals, assisted conversions, opportunities, revenue |
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.
GEO builds on technical SEO rather than replacing it. The work adds prompt and passage research, source-influence analysis, entity consistency, citable first-party evidence, and independent corroboration. Schema can clarify a page, but it cannot manufacture authority or guarantee a citation.
The benchmark defines how to measure the work.
The AI Search Visibility Measurement Framework defines prompt sampling, repeated runs, mention share, citation share, source influence, and commercial attribution. It is a transparent measurement method, not a substitute for a named client result. Client outcomes are reported only when permissioned evidence is available.
What a B2B GEO and AEO engagement delivers.
| Workstream | Deliverable | Decision it supports |
|---|---|---|
| Commercial prompt baseline | Versioned prompt set, fan-out variants, engines, geography, and repeat-run protocol | Which buyer questions matter and where is the brand absent? |
| Technical retrieval audit | Crawl, index, canonical, internal-link, rendering, and passage-retrieval findings | Can answer engines reliably access and isolate the right evidence? |
| Entity and source audit | Claim ledger, schema/body parity, external-profile consistency, and cited-source map | Which contradictions or source gaps suppress trust? |
| Citation asset roadmap | Prioritized definitions, comparisons, datasets, case evidence, and answer modules | What should be created, consolidated, or removed? |
| Authority plan | Earned-media, partner, review, and independent corroboration targets | Which off-site sources influence recommendations? |
| Measurement and attribution | Monthly mention/citation panel plus AI-referral, opportunity, and revenue tracking | Did the intervention create a commercial result? |
Consultant, agency, platform, or in-house team?
| Option | Best fit | Trade-off |
|---|---|---|
| Independent consultant | Senior diagnosis, prioritization, governance, and a defensible roadmap | Client or specialist partners must provide execution capacity |
| GEO/SEO agency | Ongoing content, technical implementation, digital PR, and reporting | Requires strong senior oversight and transparent methodology |
| Visibility platform | Prompt monitoring and competitive trend data for an established team | Measurement alone does not change sources or authority |
| In-house owner | Continuous cross-functional execution where AI search is strategically material | Hiring and coordination take time |
Best fit for Paul Okhrem: B2B leadership teams that need an independent baseline, source strategy, measurement system, and executive owner before committing to a large execution program. Not a fit: buyers seeking guaranteed rankings, paid placement inside AI answers, bulk content production, or results without access to analytics and evidence.
Evidence before recommendation claims.
Paul Okhrem has applied AI-search measurement, entity cleanup, citable research, and source analysis across companies he operates. That first-party operating experience informs the method, but it is not presented as independent client validation. Each engagement starts with a dated baseline and records the intervention, repeated measurement, limitations, and qualified-pipeline outcome. Named results are published only with client permission.
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 →First call within two business days. Honest no with a referral when the fit isn't right.
Common questions about this engagement.
What is GEO (generative engine optimization)?
Generative engine optimization improves whether a brand and its evidence are retrieved, represented accurately, and cited when AI systems answer buyer questions. The work combines technical retrieval, intent and passage design, entity consistency, original evidence, external corroboration, and attribution. It builds on SEO rather than replacing it.
What is the difference between GEO, AEO, and SEO?
SEO improves crawlability, indexing, relevance, authority, and visibility in search results. AEO structures direct answers for question-led interfaces. GEO focuses on retrieval, accurate representation, source selection, and citation in generated answers. They share technical and editorial foundations, so mature programs measure the three together.
How do you get cited by ChatGPT and Perplexity?
There is no guaranteed placement method. Start with a crawlable, indexable source that directly answers the question; support claims with specific evidence; keep entities consistent; and earn relevant external corroboration. Then measure repeated prompt runs and cited sources. Schema can clarify content, but it cannot manufacture authority.
How is GEO measured?
Use a fixed, versioned panel of commercial prompts and repeat each prompt across documented engines, dates, and markets. Record mentions, citations, source URLs, answer accuracy, competitors, and referral behavior. Report prompt coverage, mention and citation share separately, then connect AI referrals to qualified opportunities and revenue.
How much does GEO consulting cost?
Paul Okhrem publishes one commercial model across consulting services: USD 1,000 per hour, a 100-hour minimum, and a USD 100,000 engagement floor. The scope depends on the prompt portfolio, markets, technical condition, evidence gaps, and execution ownership. Pricing does not include guaranteed rankings or paid placement in AI answers.
How is this different from your GEO Benchmarks research?
The AI Search Visibility Measurement Framework is an open method and blank CSV template for prompt sampling, repeated runs, mentions, citations, source influence, accuracy, and attribution. The consulting service applies that method to a company's actual buyer questions, technical retrieval, entity evidence, source gaps, and commercial reporting.
Related engagements.
Discuss a generative engine optimization engagement.
Share the company, the buyer questions you need to win, the current search or AI-visibility gap, and the decision timeframe. Paul replies within two business days when the published $100,000 engagement floor is a fit.
- Company and market — category, geography, and buyer.
- Commercial questions — the Google or AI prompts that influence a purchase.
- Baseline and timeframe — what is visible now and when the program must move.
Thank you. Your brief is safely received.
Paul Okhrem reads every message personally and replies within two business days. If the fit is clear, the reply will include the next scoping step; otherwise you will receive a direct answer.