A recorded prompt set
Buyer questions grouped by learning, comparison and provider selection, with session conditions and observation dates.
INDEPENDENT B2B SEARCH CONSULTING
I investigate how ChatGPT describes your offer, which sources appear in relevant answers and where the public information is incomplete. The result is a practical plan for your product pages and source evidence.
WHO THIS IS FOR
This is for B2B teams hearing that prospects research vendors in ChatGPT, or noticing that answers describe their product incorrectly. You need a defined product, examples worth investigating and someone who can approve factual corrections and website changes.
ChatGPT SEO services review how a business can be discovered and understood through ChatGPT search experiences. The work uses documented prompts, source checks and accessible website information. It cannot edit a model’s answers or guarantee a recommendation.
A prompt that contains your brand name tests a different situation from an unbranded vendor-selection question. Mixing those observations can make a report look encouraging without showing whether a new buyer could discover the business. I keep those question types separate.
01 / THE TAKEAWAYS
Buyer questions grouped by learning, comparison and provider selection, with session conditions and observation dates.
A review of visible source references, product descriptions, missing evidence and factual inconsistencies.
Specific page and public-information changes, an implementation owner and a repeatable review procedure.
I ask how prospects describe the problem before they know your product name. That language becomes a small set of questions covering learning, alternatives and vendor evaluation. Branded prompts remain useful for checking accuracy, but they are recorded separately from discovery questions. Each observation includes the prompt, date and relevant context, so a later reviewer can understand what was actually tested. I do not combine unlike sessions into a confident-looking percentage without explaining the sample and its limitations.
A ChatGPT brand mention is more useful when the accompanying description is accurate and supported by an identifiable source. I inspect the cited pages where available and compare their statements with product documentation, service pages and relevant third-party references. A citation to a generic directory may reveal a different problem from a citation to an outdated product page. The recommendation therefore names the source and the missing information, rather than asking your team to publish another broad article simply to increase content volume.
OpenAI documents different crawler purposes, including search-related crawling and model-training controls. I check the relevant website access settings against those documented purposes rather than assuming that allowing one bot guarantees a search mention. An LLM SEO agency should be able to explain which access problem it has observed and how it tested it. The practical output is a specific issue for the website owner or developer to verify, not a promise that a crawler setting will force a model to recommend your company.
Useful changes often involve a better explanation of who the product is for, what it does and what evidence supports a comparison. I review definitions, capabilities, limitations and the next action available to a reader. Clear information helps a human evaluate the offer even when it is not quoted by an assistant. Where product expertise is missing, I request it before recommending claims. The project does not include fabricated reviews, made-up comparisons or pages that suggest experience the business cannot substantiate.
This focused workstream belongs inside the broader AI SEO service, because the same product pages often support several discovery channels. I compare the source findings with existing SEO priorities and avoid creating duplicate pages for each assistant. LLM optimization services should improve a coherent information base. Referral analytics, recorded answers and sales conversations can each inform the review, but they answer different questions. I keep an implementation log so your team can distinguish completed corrections from hypotheses still being investigated.
02 / HOW WE START
Bring a few prompts, observed answers and the product facts you believe are missing or inaccurate. I first check whether those examples represent discovery, comparison or a branded accuracy question.
We agree on buyer situations, comparison boundaries and the source information to inspect. Access checks and editorial work receive separate owners so the review can lead to implementation.
I document proposed corrections and how to repeat the observations. We assess the usefulness of the new information without treating one favorable answer as proof of a stable ranking.
EVIDENCE AND APPROACH
The published AI visibility audit method provides a starting framework. There is no published ChatGPT client-results case study on this site, so I do not attach a visibility-growth claim to this service.
SCOPE AND PRICING
GEO & AEO AUDIT
Starting from$1,100per audit
A fixed-scope baseline for one brand, an agreed competitor set and a documented sample of commercially relevant questions.
AI SEO / AEO OPTIMIZATION
Starting from$1,500per month · 3-month minimum
Ongoing AI search optimization with an agreed implementation backlog.
Final scope depends on site size, access, specialist review and who implements the work. Paid tools, development and writing volume are included only when the proposal says so.
Start by making your offer and supporting evidence accurate, accessible and easy for a buyer to verify. I investigate relevant prompts and sources, then prioritize concrete website or information gaps. There is no submission that guarantees a recommendation. A useful engagement produces a documented baseline and an implementable plan, with uncertainty recorded rather than hidden behind a ranking promise.
A ChatGPT answer is not a permanent list of positions that can be guaranteed or checked like a single fixed ranking. Question wording and the circumstances of a session can change the response. I record those conditions and distinguish branded accuracy checks from discovery questions. Repeated observations provide context, but they should not be presented as universal visibility for every potential buyer.
I provide direct consulting rather than an agency account-management layer. You work with me on the question sample, source review and implementation priorities. If you need writers or developers to execute the recommendations, the proposal identifies that requirement and who will own it. Comparing a ChatGPT SEO agency with a consultant is best done through scope and delivery responsibilities.
The GEO and AEO audit starts from $1,100 and establishes an agreed baseline for the review. Ongoing AI search work starts from $1,500 per month with a 3-month minimum. We define the prompt sample, source review, required access and implementation split before starting. A larger product range or more complex technical work can change the final scope.
YOUR NEXT MOVE
Bring a search challenge. We’ll work out where to start.