AI SEO agencies for B2B, compared in 2026

AI SEO and GEO are sold as different things and delivered as mostly the same thing. AI SEO extends classic search work to AI surfaces, using the crawling, content and authority levers that already existed. GEO narrows to one outcome, being named and cited inside a generated answer. The overlap is large, because the pages the engines cite are frequently the pages search engines already rank. What separates the firms on this page is not the label. It is whether they will tell you which engines they measured, how many times, and what counted as a mention.

That matters more for B2B than for consumer brands, because a B2B shortlist is short. When an engine answers a question about the best vendor in a software category, it usually names three to five companies. Being the sixth is the same as being absent.

It also matters because the demand is hard to see in analytics. Traffic that starts in an AI answer often arrives with no referrer and is recorded as direct, or as mail to a generic inbox. A firm that reports only sessions and rankings is measuring the part of the funnel that did not change.

The earlier July 2026 agency mention counts have been withdrawn because the underlying answer records could not be reverified. The separate 2026 State of GEO study reports 860 AI answers across 85 B2B software companies in 61 categories and 5,160 citations across 1,753 domains. That separate open-access study is not peer reviewed.

The eight criteria are not a ranking of quality. They are the eight things a buyer can check in an afternoon without talking to anyone, and they are the eight things that decide whether a claim can be argued with later. A firm that publishes its question set can be told it asked the wrong questions. A firm that publishes nothing can only be believed or not believed.

The single most useful question to ask any firm on this page is how the questions were written. AI answers to questions that already contain a company name will usually contain that name, so a mention count built on name seeded questions measures the prompt rather than the engine. Broadcastwell published that finding against its own category research, and it is the reason no question in a Category Audit names any brand.

The second most useful question is what happens when the runs disagree. AI answers vary between runs and shift as models update, so a single screenshot is not a measurement. Ask how many runs sit behind a figure, and whether the disagreement between them is reported or averaged away.

Five of the nine agencies on this page publish no price. The four that do publish monthly floors, from prices and tiered rate cards, and none of them can be paid without a call.

The Broadcastwell ladder is published in full. The Category Audit is $490 once, covering one category, ten buyer questions, five engines and three measured runs, with findings within 48 hours of the category being confirmed. The Fix Sprint is $2,900 once, or $2,410 after the Audit credit. The program is $13,500 per 90 days, billed $4,500 monthly, on a 90 day initial term and then month to month.

The $490 credits once against the $2,900 Fix Sprint within 30 days of delivery, so the Sprint is $2,410. A standalone Category Audit is refundable in full, no questions asked, if requested within 30 days of delivery of the findings.