For B2B
Agent readiness for B2B
Vendor evaluation is starting to run through procurement agents that read a shortlist of vendor sites and answer standard RFI questions from what they find there, before a human buyer ever gets on a call. A vendor site that cannot be read accurately is a vendor that gets quietly dropped from that shortlist.
Why it matters
Gartner predicted in February 2024 that traditional search volume would fall 25% by 2026 as AI chatbots and virtual agents substitute for search.
Source: Gartner, Feb 2024 Procurement research follows the same substitution: a buyer's assistant reads a shortlist of vendor sites and answers standard RFI questions from what it finds there, before a human ever gets on a call.
The x402 agent-payments protocol moved under the Linux Foundation in April 2026, with AWS, Cloudflare, Anthropic, and Circle among its members.
Source: Linux Foundation announcement coverage, Apr 2026 That is the kind of infrastructure procurement agents will eventually transact through directly; being readable to them now is what makes that possible later.
Nobody has published B2B-specific AI referral benchmarks yet. The case here is defensive: your buyers' assistants either can read your pricing, docs, and integrations, or they cannot, and they will not tell you which.
A procurement agent working through an RFI (security posture, certifications, integration capabilities, case studies, pricing tiers) is trying to extract specific facts from your site, not form an impression of your brand. If those facts live in a PDF behind a form, or in marketing copy with no structured backing, the agent either gets it wrong or leaves it blank, and a wrong or blank answer in an RFI response counts against you the same as a bad one.
The upside works the same way in reverse: a vendor site with clear, machine-readable answers to the questions procurement agents actually ask becomes citable evidence in that agent's summary to the human buyer, which is a meaningfully different position than being one more link the buyer has to manually verify.
What we implement
- agents.md and llms-full.txt describing your offerings, certifications, and case studies in extractable form
- Organization and Product/Service structured data (JSON-LD)
- Server-rendered specs and case study pages agents can read without executing JavaScript
- An MCP server card if you expose a partner or integration API worth discovering
- Meta hygiene so every page states plainly what it is and who it is for
Expected outcome
This makes your site readable and citable to the procurement agents your buyers are starting to use for vendor evaluation. It does not guarantee you win an RFP or get shortlisted, only that the facts a procurement agent needs are actually there in a form it can use, instead of buried in a PDF it cannot reach.
See where you stand
Run a free scan, or start with the self-serve kit if you already know you need it.