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What does a generative engine optimization consultant do?
A generative engine optimization consultant helps a business become a clear, citable source for AI tools such as ChatGPT, Perplexity, Claude and Google AI Overviews. I check whether AI crawlers can reach your site, make your brand and services unambiguous as entities, restructure key pages so answers come first, add accurate structured data and track how often AI answers mention or cite you. No one can guarantee citations, but these foundations make them more likely.
Last reviewed by Vikas Saroj
More buyers now ask ChatGPT, Perplexity, Claude or Google AI Overviews before they ever visit a website. These tools assemble answers from sources they can reach, read and trust. If your site is blocked, vague about what you do or buried in marketing copy, the answer gets written from someone else's pages.
As a generative engine optimization consultant, I work on the parts you can actually influence: whether AI crawlers can access your content, whether your brand, services and expertise are described consistently, whether key pages state facts plainly and early, and whether structured data backs that up. It builds on solid SEO foundations rather than replacing them.
I work remotely with B2B companies and service businesses worldwide, usually starting with a GEO audit and a prioritized plan, then supporting your team or agency through the changes. I am honest about the limits: generative engines change often, and nobody controls what they cite.
Generative engines are not a single system with published ranking rules. These services target the inputs that consistently matter: access, clarity, structure and evidence.
A structured review of how your site, brand and key topics appear in AI-generated answers today, which sources get cited instead of you, and which technical or content gaps are most likely responsible.
Reviewing robots.txt, firewall and CDN rules for AI crawlers and AI search user agents, then deciding with you which to allow for search and citation and which to restrict, based on your content policy.
Making sure your organization, people, services and locations are described the same way across your site, profiles and directories, so AI systems can connect them to the right entity without guessing.
Restructuring service, product and guide pages so each opens with a direct, accurate answer, followed by supporting detail, definitions and comparisons that are easy for a model to quote correctly.
Organization, Person, Service, Product, FAQ and Article markup that matches what is visible on the page, giving search and AI systems a consistent, machine-readable summary of the facts.
A repeatable prompt set for your key topics, checked across AI tools on a schedule, with mentions, citations and referral traffic recorded so you can see direction of travel over time.
See how AI describes you today
Fix access, clarity and structure
Track mentions and adjust
Generative engine optimization, or GEO, is the work of making your content easy for AI systems to find, understand and cite when they generate an answer. Tools like ChatGPT search, Perplexity, Claude and Google AI Overviews usually retrieve web pages for a question, then write a summary that may link to some of those sources. GEO aims to make your pages the ones worth retrieving and quoting.
It is not a separate discipline from search. Most AI answer tools rely on web indexes, crawlers and quality signals that overlap heavily with traditional search. A site with crawl problems, thin pages or confused messaging will struggle in both. That is why I treat GEO as a layer on top of technical SEO and solid content, not a shortcut around them.
What GEO adds is a sharper focus on a few things:
If you want the broader picture across every AI search surface, my AI search optimization page covers that umbrella. This page focuses on being cited.
A GEO audit starts with the business, not the tools. We agree the topics and questions that matter commercially: the services you want to be known for, the comparisons buyers make and the problems they describe before they contact you. From that I build a prompt set that reflects how real buyers phrase things.
I then run those prompts across the main AI tools and record what comes back. For each prompt I note whether your brand is mentioned, whether your pages are cited, which competitors or third-party sites are cited instead, and whether the description of your business is accurate. AI answers vary between sessions and over time, so this is a snapshot and a baseline, not a precise measurement.
Alongside that, I review the technical side:
The output is a written report with findings and a prioritized action list, grouped into quick technical fixes, content restructuring and longer-term authority building.
AI companies use different crawlers for different purposes. Some collect data for model training, others fetch pages to answer a live search query. Many publish their user agents, and you can allow or block them in robots.txt. The decision is a business one: blocking training crawlers may suit your content policy, but blocking the crawlers that power AI search can remove you from the answers your buyers see.
I review your current rules, plus any firewall, bot protection or CDN settings that may block these crawlers without anyone realizing. Then I document a clear policy with you, crawler by crawler, and make sure it is implemented consistently.
You may also have heard of llms.txt. It is a proposed convention: a plain-text or Markdown file at the root of your site that points AI systems to your most useful pages with short descriptions. It is not an official standard, and AI providers do not consistently say whether or how they use it. I treat it as a low-effort, optional addition that may help some tools, never as a substitute for accessible, well-structured pages.
The same caution applies to anyone selling secret GEO tricks. The reliable levers are access, clarity, accuracy and reputation.
AI systems work best with information they can attach to a clear entity. If your company name, service names and descriptions differ between your homepage, LinkedIn page, directories and press mentions, models have to guess, and they sometimes guess wrong. Part of GEO is simply tidying this up so the same facts appear everywhere.
On your own site, that means a strong About page, real author or consultant profiles, clear service pages and Organization and Person structured data that ties them together. It also means removing vague claims that a model cannot verify or reuse.
Content then needs to be written so the answer comes first. For each priority page I look at:
This style overlaps with answer engine optimization, which focuses on question research and concise answers for snippets and assistants. GEO applies the same discipline more broadly, across the pages and external sources that shape how AI describes your business.
There is no equivalent of Search Console for most AI answer engines, so measurement has to be assembled from several sources. I set up a practical view that typically includes:
None of these is precise on its own. Prompt results vary, some AI traffic arrives without a referrer, and many buyers read an answer and then search your name directly. Looking at the indicators together still shows whether things are moving in the right direction.
Where I add most value is the final step. Because my main work is in CRM and business systems, I can make sure inquiries are tagged with their source and that "how did you hear about us" answers are captured in a structured way. That lets you see whether AI visibility is turning into real conversations, not just impressions.
Tell me about your business and current systems. I’ll suggest the most sensible first step.
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Not sure where growth is leaking?
Share your goals and current funnel with me. I will look at search, ads and CRM data together and tell you where the next lead is most likely to come from.
Pages written for each market: local tax, e-invoicing, data hosting, migration sources and how the work runs remotely there.
No. AI tools decide what to retrieve and cite, their behavior changes often and answers vary between sessions. Anyone promising guaranteed citations is overselling. What I can do is remove the barriers I can find, such as blocked crawlers, unclear entities and buried answers, and track mentions and citations over time so you can judge progress.
It overlaps heavily. AI answer tools depend on crawlable, trustworthy pages, so technical SEO and quality content remain the foundation. GEO adds a sharper focus on entity consistency, answer-first writing, structured data, AI crawler access and presence on third-party sources that AI systems read. I usually recommend fixing SEO basics first.
It can be a reasonable, low-effort addition, but it is an emerging convention, not an official standard, and AI providers do not consistently confirm how they use it. I treat it as optional. Accessible HTML, clear page structure, accurate structured data and sensible robots rules matter far more.
It depends on your goals and content policy. Some crawlers collect training data, others fetch pages for live AI search answers. Blocking the second group can remove you from answers your buyers read. I help you decide crawler by crawler, document the policy and check that firewalls or CDNs are not blocking crawlers unintentionally.
I combine a scheduled prompt set across AI tools, recording mentions, citations and accuracy, with AI referral traffic in GA4, branded search trends in Search Console and source data captured in your CRM. Each signal is imperfect, but together they show direction and whether AI visibility is leading to real inquiries.
Every business is different. Share where you are today and what you want to fix, and I’ll tell you honestly whether and how I can help.
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Book a consultation to talk through your processes, systems and goals. I’ll reply with practical next steps - no obligation.