GEO for B2B and SaaS starts from an uncomfortable measurement: in our audits of the segment, companies scored 28–45/100 and were named in 0 of 13 live buyer prompts — while the same answers named seventy-plus rivals. A 2026 B2B buyer starts the shortlist by asking an assistant. If the answer lists seventy firms and never yours, you are losing tenders you never even heard about.
what our data says about this segment
Our bench here is the deepest after Web3: 37 B2B-services audits with 444 companies mapped — logistics, sourcing, manufacturing, PR, legal, events — plus dev shops and SaaS in the adjacent service-provider set. The numbers below are from our published 100-audit dataset.
| metric | typical value |
|---|---|
| GEO health score | 28–45/100 |
| category recall | 0 of 13 live prompts (“who builds our booth”, “best licensing law firm”, “who to hire for development”) |
| rival brands named in those same answers | ~70+ |
| anonymous content | up to 1,003 of 1,004 articles with no named author |
| typical organic footprint | 3 branded keywords — or 190 keywords with zero top-3 |
the three failures that define the segment
Hard proof in an unreadable form. International awards, NPS 87%, global-brand clients, 500+ delivered projects — all of it living in PDFs, images and portfolio pages, none of it in schema, entity records or cited sources. The model praises the company by name and never names it in a single “who should we hire” answer.
One services page instead of a page per vertical. The mistake that costs the whole category. Composed answers need sources that match the question exactly; a generic services page matches nothing. In our benchmarks an agency with one visit a month won two verticals on format alone — the format was a dedicated page.
Expertise without authorship. Founders who write industry laws and keynote conferences, above a blog where 100% of articles are anonymous. The model cannot link the person’s authority to the company’s content, so the authority evaporates at the exact moment it should convert.
the inversion that proves the point
We audited a company that was already the #1 pick of ChatGPT and Claude in its category — at DA 1–5 and near-zero organic traffic. Its visibility came entirely from deep niche content. Without an entity foundation that position is fragile, and the audit said so. But it settles the argument about what the B2B slot is made of: content and entity, not domain authority. The slot is open to companies your size, and it is being taken by companies your size.
what the work looks like here
- The panel. Your buyers’ tender-shaping questions, run live through six engines; every named rival and cited source logged. This is where the ~70-name list becomes your specific list.
- Vertical pages. One page per vertical or scenario you actually sell into, built to be quotable — the highest-leverage format in the segment by our data.
- Named expertise. Authors on everything, people pages that resolve to real profiles, and the founder’s existing authority finally linked to the company’s content.
- Machine-readable proof. The awards, clients and numbers translated out of PDFs into structured data and dated, citable claims.
- The sources. Directories and listicles the engines already cite in your category — the baseline told us which — and the material they need to include you.
- Re-measurement. The same panel re-run every cycle, with the delta reported, including prompts that did not move.
On guarantees: after the audit we can commit to specific target prompts — scoped against your measured baseline, never sold before it exists. In a segment where category answers are held by thin content, those commitments are unusually reachable.