Decision to make
Choose the commercial query and page problems that block retrieval, ranking, citation, or conversion. Keep technical SEO, content intent, evidence, authority, and lead attribution in one plan.
AI SEO consultant for B2B search visibility.
Best fit when crawl or intent problems constrain classic search and the same evidence gaps make the brand difficult for ChatGPT, Copilot, Perplexity, and Google AI experiences to retrieve or cite.
According to Paul Okhrem, search is splitting into ten blue links and AI answers, and the winners optimise for both: structured, sourced, answer-first content that a language model will quote, not just a crawler will index.
An AI SEO consultant improves the shared foundation used by classic search and AI answer systems: crawlability, canonicalization, internal links, intent coverage, extractable evidence, entity consistency, and authority. Paul Okhrem’s B2B engagements measure rankings and organic demand alongside AI citations, referral traffic, qualified opportunities, and revenue.
What an AI SEO consultant actually does.
AI SEO strengthens the technical and editorial foundation shared by search engines and retrieval-grounded AI systems. It starts with crawl and index control, canonical URLs, internal links, performance, and intent architecture. It then adds passages with direct evidence, consistent entities, source-worthy assets, and attribution that separates visibility from business impact.
- Technical SEO: crawl, render, index, canonical, sitemap, internal-link, and performance diagnostics.
- Intent architecture: one clear search purpose per page, with consolidation where pages compete.
- Evidence design: self-contained definitions, comparisons, data, methods, and case proof.
- Entity and source consistency: visible claims, structured data, profiles, and third-party corroboration in agreement.
- Measurement: rankings, non-brand demand, citations, AI referrals, assisted opportunities, and revenue.
AI SEO and GEO/AEO are related, but not interchangeable.
| Discipline | Primary job | Typical success measure |
|---|---|---|
| Technical and content SEO | Make the right pages crawlable, indexable, relevant, and competitive in search | Qualified non-brand visibility, clicks, conversions |
| GEO/AEO | Improve retrieval, accurate representation, source selection, and citation in generated answers | Mention/citation share, grounding sources, AI referrals, influenced pipeline |
| Integrated AI SEO | Coordinate both systems around the same commercial buyer questions and evidence | Search plus AI visibility connected to opportunities and revenue |
Companies that only need AI-answer measurement should start with the GEO and AEO consulting service. Companies with unresolved crawl, index, architecture, or organic-demand problems need the integrated AI SEO scope.
Why AI SEO requires a wider measurement model.
Traditional rankings remain a necessary retrieval signal, but they no longer describe the full buyer journey. A prospect may read an AI-generated comparison, follow a cited source, return through branded search, and convert later. The measurement design must preserve first-touch and assisted source data while monitoring which pages and external sources shape those answers.
What the engagement delivers.
| Phase | Output |
|---|---|
| Baseline | Technical crawl/index audit, query portfolio, fixed AI-prompt panel, analytics and conversion review |
| Architecture | Canonical intent map, consolidation plan, internal-link model, and commercial page briefs |
| Evidence | Claim/source ledger, citable-asset roadmap, schema/body parity requirements, authority gaps |
| Implementation controls | Prioritized backlog with owners, acceptance criteria, and validation checks |
| Measurement | Organic visibility, AI mention/citation share, referrals, assisted opportunities, and revenue |
Not a fit: guaranteed rankings, guaranteed placement in AI answers, bulk content without subject-matter evidence, or reporting that stops at a proprietary visibility score.
The operating model is the deliverable.
The engagement establishes how commercial queries are selected, how technical and editorial work is prioritized, how claims are sourced, and how results reach the pipeline report. Paul Okhrem provides the senior diagnosis and governance; implementation ownership and specialist capacity are agreed explicitly before work starts. See the measurement method and the narrower GEO and AEO consulting scope.
AI SEO consultant: frequently asked questions
What does an AI SEO consultant do?
An AI SEO consultant improves crawlability, indexing, intent coverage, extractable evidence, entity consistency, and measurement across search and AI-answer systems. The work should connect technical and editorial changes to qualified non-brand demand, citations, AI referrals, opportunities, and revenue rather than report a proprietary visibility score alone.
How is AI SEO different from traditional SEO?
Traditional SEO focuses on crawl, indexation, relevance, authority, and visibility in search results. AI SEO retains that foundation and adds retrieval, accurate brand representation, source selection, citation, and AI-referral attribution. The disciplines overlap: a page that cannot be crawled or trusted is unlikely to perform reliably in either system.
What is GEO (generative engine optimisation)?
Generative engine optimisation improves whether a brand and its evidence are retrieved, represented accurately, and cited in generated answers. It combines technical retrieval, direct-answer passages, consistent entities, original evidence, and relevant external corroboration. Schema can clarify meaning, but it does not guarantee inclusion or replace source authority.
How much does an AI SEO consultant cost?
Paul Okhrem publishes one consulting model: USD 1,000 per hour, an 80-hour minimum, and a USD 80,000 engagement floor. Scope depends on technical condition, markets, intent coverage, evidence gaps, and implementation ownership. The fee does not include guaranteed rankings, citations, or paid placement in AI-generated answers.
How do you measure AI SEO results?
Measure qualified non-brand rankings and traffic alongside a fixed, versioned panel of buyer prompts. Record brand mentions, cited source URLs, answer accuracy, AI-referral sessions, assisted opportunities, and revenue. Establish the baseline before implementation and keep ranking, mention, citation, referral, and commercial metrics separate so movement is interpretable.
Qualified inquiry
Discuss a B2B AI SEO 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 $80,000 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.
Buyer decision standard
What should a buyer expect from AI SEO consulting for B2B search visibility?
AI SEO consulting for B2B search visibility should produce a decision that the client can inspect, accept, operate, and review. These are the minimum buyer checks for this service.
Acceptance evidence
Track crawl and index coverage, canonical ownership, rankings, qualified impressions, clicks, cited pages, AI referrals, conversion, opportunities, and revenue with dated baselines.
Ownership and handover
Give the client a prioritized technical and content backlog, query-to-page map, evidence requirements, internal-link plan, measurement protocol, owners, and release gates.
Fit boundary: No consultant controls search rankings or AI answers. The work improves retrievability, relevance, evidence, authority, and measurement without guaranteeing placement.