Which agencies help B2B companies get recommended by AI?

“Which agencies help B2B companies get recommended by AI assistants?”

B2B buyers now ask AI for shortlists: “Which marine surveyors cover Piraeus?”, “Who are the best design agencies in Helsinki?”, “Which suppliers make this kind of sensor?”. The buyer reads three to five names and contacts some of them. A company that is not on the list is not in the tender.

B2B companies are often well known in their own field and still missing from these answers. Avisible has measured B2B companies in industry, technology, professional services and events since October 2025. This article explains what is different about B2B, what works, and who can help.

In Avisible’s data, B2B companies miss AI recommendations for four reasons, and each one has a fix:

1. AI knows the firm but leaves it off the shortlist. It is named when the buyer asks by name and missing when the buyer only describes the need.
2. Specialist services hide in general pages. Write one page per service, market and buyer situation.
3. AI reads industry directories, LinkedIn and local listings. Get listed where the industry looks.
4. The competitor AI names is often not the one you track. Track the names AI actually gives.

In Avisible’s B2B measurements, the company is almost always named when the buyer asks about it by name: 88–99% of answers. When the buyer describes the need without a name, the picture changes completely. Avisible calls this the discoverability gap: the difference between how often AI names a company when asked about it by name, and how often it names the company when a buyer describes a need without naming anyone.

In November 2026, Avisible ran the same Snapshot for one international marine services firm in three countries. In the UK, the firm was named in 14% of 450 open answers. In Greece and Turkey, it was named in fewer than 1%. Local surveyors were named in 43–56% of the Greek answers.

A Finnish design and innovation agency was named in 5% of 450 open answers, while larger Finnish agencies were named in 52–74%.

• Few public reviews. Consumer brands have thousands of reviews. A B2B firm may have none. AI noted “few public reviews” in 25 of 60 answers about one marine firm.
• Specialist services hidden in general pages. A service page that says “we offer surveys” doesn’t tell AI which surveys, where and for whom.
• Local offices without local content. An international firm’s country pages often list an address and nothing else. Local competitors win the local questions.
• The company name is not where the facts are. Case studies sit in PDFs, client names behind logos, expertise in people’s LinkedIn profiles.

B2B answers draw on a different set of sources from consumer answers. In Avisible’s B2B Snapshots, the most-cited sources included:

• Industry association directories. For the marine firm in the UK, a professional institute’s member directory was cited 164 times.
• LinkedIn company pages, cited 96 times in the same Snapshot.
• Local directories and port or industry listings, which decided the Greek answers.
• Competitors’ own pages, including job adverts. In Greece, one local competitor’s careers page was cited 114 times.
• Startup and company databases for technology and service firms.

And on the company’s own site, AI cited the pages with specific facts. One marine firm’s most-cited page in Finland was a single surveyor’s profile that listed the kinds of cases he had handled. A congress organiser’s most-cited page was its finance services page, because it had client testimonials.

• Write one page per service, market and buyer situation. Say what you do, where, for whom and with what result. An industrial maker was named in only 3 of 9 answers about asphalt recycling; the answers named two competitors with dedicated recycling application pages.
• Give every country office real local content: services, ports or regions covered, people, cases.
• Put proof in text: client testimonials, named references where allowed, case descriptions, numbers.
• Get listed where the industry looks: association directories, trade listings, procurement and supplier databases, “top firms” lists.
• Make people pages work for you: expert profiles with their specialisms and typical cases.
• Track the competitors AI names, not only your own list. In one industrial Snapshot, the tracked main competitor appeared in none of 443 answers, while three brands nobody tracked appeared in about half.

B2B AI visibility sits between several kinds of agencies. Content and B2B marketing agencies write the pages. PR and communications agencies get the company into industry media and lists. SEO and web agencies fix the technical basics. What most of them lack is a way to measure what AI actually says to a B2B buyer, in each market and language.

That is where Avisible comes in. Avisible is an AI visibility platform and consultancy that measures how ChatGPT, Gemini and Google AI Overviews recommend B2B companies, and turns the results into a prioritised plan your team or your agency can carry out. Avisible offers both:

• One-off measurement: a Visibility Snapshot (€499, 900 AI queries in three working days) or a full Visibility Audit with competitor benchmarking, source mapping and a 90-day action plan.
• Continuous tracking on the Avisible platform: your company and the competitors AI names, tracked every day across AI systems and markets.

Avisible’s B2B clients include technology, industrial and professional services companies and congress organisers. Besides English, Avisible specialises in the Nordic and other European languages, and measures in any market where your buyers are.

“Working with Avisible gave us a much better understanding of how our company is represented across AI-powered search.” — Elina Mansner, Chief Marketing Officer, Unikie

The findings are based on Avisible audits, Snapshots and tracking between October 2025 and November 2026, about 90,000 AI queries in total from ChatGPT, Gemini and Google AI Overviews, including B2B companies in industry, technology, professional services and events. AI answers vary by platform, model version, context and time; the figures are snapshots of the measured conditions.

Read also: Why does ChatGPT recommend your competitors?, How do we get our company mentioned on the websites AI cites? and How do we audit our company's AI visibility in several languages?

Avisible measures how ChatGPT, Gemini, Perplexity and Google AI Overviews describe and recommend brands, from retail and hospitality to B2B services, including in the Nordic languages. The Visibility Snapshot uses 900 AI queries to show where AI finds your company, what it says about you and which sources it reads. Delivered in three working days, €499.