AI Visibility for B2B Service Companies

By Mehmet, Top Seed AI · Published Oct 20, 2026

In short: Yes, some do. Several surveys report that many B2B buyers use AI assistants while researching vendors, but none we could open reports separately on agency or consultancy buyers, several come from companies that sell related products, and buyers check AI answers elsewhere. For a service company, the practical work is one clear page per service and buyer type, plain proof, accurate third-party profiles, and repeated testing. We sell this work.

Do B2B buyers actually use AI to find vendors?

Many say they do, but the evidence for services is thin. The figures below run from 42% to 94% because the surveys ask different things, and we found no survey we could open that isolates buyers of agencies, consultancies or IT services.

Much of the spread is definitions: Forrester asks about using AI during buying and does not define it, Gartner about vendor information, G2 about where software buyers begin. None says what share of agency or consultancy engagements start in an assistant, so read them as evidence that the habit exists, not as a rate for your market.

What these numbers do not show

They do not show that AI decides who gets hired, or how much of your pipeline starts in an assistant.

• Buyers check the answer. In Gartner's survey, 69% preferred to validate AI-generated insights with sales reps. In the Omniscient survey, 80% validated LLM answers against vendor websites, 60% against third-party reviews and 55% with peers; 22% relied on the output directly (bases not stated). A mention can get you considered. Your website and reviews then have to hold up.
• Clicks look small so far. Octane11, a B2B analytics vendor, reports AI search under 2% of B2B search referral traffic across about 400 million B2B website sessions, while about 1 in 11 closed-won deals carried an AI search touch (the page does not define a touch). Omniscient says AI-influenced demand is often misclassified as direct, reported without data.
• Most sources have an interest. G2, Semrush, Omniscient and Octane11 sell related products; Gartner and Forrester sell research and advice. The survey figures are self-reported, and none measures your firm.

How to check: add one line to your intake form or first call asking how the client found you and whether they asked an AI assistant.

How service questions differ from product questions

A product question asks which tool fits. A service question asks who can be trusted with a specific problem. That is our reading, not a measured finding.

Compare "which accounting software suits a small agency" with "who can build our mobile app", question styles like those in What Is AI Visibility? The first can be answered with features. The second needs evidence about a firm: what it does, for whom, how it works, and who has used it.

Surveys point the same way, with caveats. In Semrush's vendor-run survey of AI users, 61% described their specific use case when researching vendors, and 53% said they notice a vendor when it closely matches that use case, against 7% for brand recognition. Omniscient's report says buyers checking an unfamiliar vendor's website look for its customers and whether any resemble them.

So the unit of work is one page per service-and-buyer-type question, such as "IT support for a 40-person law firm" (an illustrative phrasing, not data), not one page per wording.

What helps a service company get named

Readable pages, plain proof and accurate outside profiles help, but none is a guaranteed lever.

1. Let the crawlers in. OpenAI, Perplexity and Anthropic each document search crawlers, and OpenAI and Anthropic also document separate training crawlers, so blocking one is a separate decision. Google says a page must be indexed and eligible to appear with a snippet to show in its AI features. How to check: open yourdomain.com/robots.txt and ask whoever runs your hosting whether bot protection blocks these crawlers.
2. Write one clear page per service and buyer type. Google says that, from its side, optimizing for generative AI search is still SEO, and it asks for original content drawn from what you know and your own experience, not recycled summaries.
3. Describe credentials and process plainly. In Omniscient's survey, 51% went straight to the vendor's website when an LLM named an unfamiliar vendor. State what you do, for whom, how an engagement runs, who does the work, and what you do not do.
4. Name clients only with written consent. Some contracts carry confidentiality terms, so ask first and publish only what the client approved. Never invent or imply a client or a result.
5. Keep review-site and directory profiles accurate. Buyers report checking AI answers against reviews (60% in Omniscient's survey; 38% looked at G2 or similar sites after an AI mention in Semrush's). We found no study of consultancy or IT-services questions. How to check: ask your service questions in Perplexity, which can link to pages it visited, and note which sites appear. Are you listed, and is the description right? To see who writes the "best" lists AI tends to cite, see Who Writes the "Best" Lists AI Reads? A Check of 16 B2B Fields.
6. Keep company facts consistent. Conflicting service descriptions, locations or team details across your site and listings give an assistant mixed material (our reasoning, not a study finding). How to check: ask "What does [firm] do, and who is it for?" in a fresh chat and compare the answer with your pages line by line.
7. Show who is behind the pages. Google asks whether pages carry a byline that leads to author background, and lists author and About pages as ways to show it.

Your first 30 days

Spend it measuring, fixing facts, improving three pages and re-testing. Expect to learn more than to see movement, because nobody can say how long a change takes to show up in answers.

• Week 1, measure. Write eight questions a buyer could type without your firm's name, mixing capability, buyer type, comparison and experience. Ask each in a fresh chat on two or three assistants, three times, on different days, and record who is named and which sources appear. One run proves little: a SparkToro and Gumshoe study found the odds of the same list of brands twice were under 1 in 100. Check robots.txt and indexing, and add the intake question.
• Week 2, pick and fix. Choose the three questions most valuable to your firm and check whether one page answers each in its first sentences. Put your company facts in one document and list every mismatch across your site and listings.
• Week 3, publish. Write or revise those three pages with plain credentials, process and limits. Add bylines and an About page. Ask one or two clients for written permission to be named. Correct the listings.
• Week 4, re-test. Repeat the week 1 questions the same way. Made-up numbers to show the idea: named in 1 of 9 runs before and 2 of 9 after is a small change on a small sample, not a result. Then choose the next three questions.

All of this works with a spreadsheet. Repeating many questions across assistants is the slow part (how we test). We sell that tracking together with the rest of the work: listings and outreach on the sites AI reads, and the pages on your own site.

What not to do

Avoid anything that fakes proof or tries to game the answer.

• Fake reviews, invented case studies, unapproved client names. All three mislead buyers. On mentions, Google says seeking inauthentic ones across the web "isn't as helpful as it might seem."
• Mass-produced pages for query variations. Google says extra pages written for every way someone might word a search, mainly to steer rankings or AI answers in Google Search, break its scaled content abuse spam policy. It adds that more pages do not make a site higher quality.
• Made-up authors or credentials. Google treats fabricated creator profiles as deception.
• Guaranteed-placement promises. Google notes that outside tools cannot see inside its ranking or AI systems. Nobody controls what an assistant says; you control what is true, findable and consistent on your side.

Questions people ask

Do B2B buyers use ChatGPT to find vendors?

Some do. In Semrush's survey of US professionals who use AI at work, 66% regularly used AI to research vendors and solutions. G2 found 51% of software buyers start research in a chatbot more often than Google. None reports separately on agency or consultancy buyers, and buyers say they check answers elsewhere.

How does a B2B company get recommended by ChatGPT?

Nobody can guarantee it. The groundwork is shared across assistants: crawlers allowed, one clear page per service and buyer type, honest credentials and process, accurate profiles on the sites buyers use, and consistent facts. Then test the same questions repeatedly. Be wary of anyone who sells guaranteed placement in the answer itself.

Is AI search optimization for a service business different from SEO?

Mostly it overlaps. Google says optimizing for its generative AI search is still SEO, with no special files or markup needed. What differs is the measure, a mention in an answer rather than a position in a list. See our guide AI Visibility vs SEO.

Do reviews on directories and review sites help my agency get recommended by AI?

We found no study of which sites assistants cite for consultancy or IT-services questions, and agency-focused datasets come from tool vendors, so we cannot say which listings matter. Buyers do report checking reviews against AI answers (60% in one 100-person survey, 38% in another), so accurate profiles are worth keeping.

Sources

• Gartner, Gartner Survey Finds 69% of B2B Buyers Turn to Sales Reps to Validate AI-Generated Insights, May 20, 2026: press release from an insights and advisory firm (its page lists consulting and a client sign-up); survey of 645 B2B buyers, Aug to Sep 2025; methodology details not given.
• Forrester, The State Of Business Buying: Risk-Averse Buyers Demand Proof, Not Promises, Jan 21, 2026: analyst blog summarizing a client-only report; Buyers' Journey Survey of nearly 18,000 global business buyers, other sample details not given.
• G2, The Answer Economy: G2's 2026 AI Search Insight Report, no publication date on the page (survey fielded March 2026): vendor study, 1,076 B2B decision makers, software buying; G2 runs a software review platform.
• Semrush, How AI tools shape the B2B buying process: A survey of 600+ US business professionals, Jul 8, 2026: vendor study (Semrush sells SEO and AI visibility tools); 643 US professionals surveyed Mar to Apr 2026, findings based on the 519 who use AI at work; recruitment not described.
• Omniscient Digital with Wynter, From Prompt to Purchase: How B2B decision-makers buy in the LLM era, no date on the document (survey fielded Sep 2025): vendor-produced report (Omniscient sells SEO and AI search services); 100 B2B SaaS leaders who had influenced or owned a vendor purchase in the past 6 to 12 months; open-ended answers coded by the authors.
• Octane11, State of B2B AI Search Vol. 2, Jul 29, 2026 (first edition Apr 8, 2026): vendor data from its own ecosystem, about 400 million B2B sessions, Sep 2025 to Jun 2026.
• Search Engine Land, AI recommendation lists repeat less than 1% of the time: Study, Jan 28, 2026: press write-up of a SparkToro and Gumshoe study, 600 volunteers, 12 prompts run nearly 3,000 times on ChatGPT, Claude and Google's AI; the researchers co-founded SparkToro and Gumshoe.ai; Search Engine Land is owned by Semrush, a vendor also cited here.
• Google, Optimizing your website for generative AI features on Google Search, updated Jul 10, 2026: primary documentation.
• Google, Creating Helpful, Reliable, People-First Content, updated Oct 5, 2026: primary documentation.
• OpenAI, Overview of OpenAI Crawlers, no date on the page: primary documentation.
• Perplexity, Perplexity Crawlers, no date on the page: primary documentation.
• Anthropic, Does Anthropic crawl data from the web, and how can site owners block the crawler?, Apr 7, 2026: primary documentation.

External figures were checked against the linked pages on Oct 20, 2026. Where a study comes from a company that sells related tools, we say so. None of the outside studies measures your brand.

Related guides

• How to Get Recommended by AI Assistants
• How to Check If ChatGPT Recommends Your Brand
• AI Visibility vs SEO: What's the Difference?

About this guide. Written by Mehmet, who runs Top Seed AI. We sell AI visibility measurement and improvement, so we have an interest in this topic; the sources above are there so you can check our reading. Published Oct 20, 2026.