Built to be checked: B2B websites for the agent-then-human buyer
November 1, 2026
November 2026
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Forrester's 2027 B2B go-to-market predictions landed on October 21, 2026 with a headline built to rattle marketers: AI agents will influence 75 percent of B2B purchase decisions. The more useful findings sit underneath it. Forrester expects buyers to double their human conversations to check what the AI told them, and predicts that two-thirds of providers will lose deals because buyers cannot verify the claims the agent repeated. The agent writes the shortlist. A skeptical person still signs the contract, and that person is cross-examining every claim along the way. A website that is easy to cite and easy to verify wins on both counts.
Separate the headline from the finding
The 75 percent number is the part that travels, but the instruction is in the body of the research. If buyers are going to verify what an agent recommends by talking to more humans and checking more sources, then the deciding factor is not whether an answer engine mentions you. It is whether what you published survives a second look. Forrester's own prediction is blunt about the cost of failing that look: two-thirds of providers losing deals on claims that do not hold up.
Two audiences, one page
The same page now serves two readers with different needs. An AI assistant needs content it can parse and cite: clear claims, structured data, pages it can actually read rather than gated forms and images of text. A human needs something the assistant cannot supply, which is trust. They want to trace a number to its source, see a named reference, and confirm that a compliance claim is real. A page built for only one of these readers loses the other.
Run a claims audit
The exercise that moves the needle is unglamorous. Go through the site and find every superlative and every unbacked assertion, then either attach evidence a stranger could check or delete the line. The usual offenders are familiar: case studies with no numbers in them, a security page that says enterprise-grade and links nowhere, pricing hidden behind a form. An AI assistant cannot cite what you will not publish, and a skeptical buyer will not trust what they cannot trace.
Publish your compliance proof as marketing
The documentation that regulated buyers ask for late in a deal belongs in public, not in a folder someone emails after an NDA. A trust center, a current accessibility conformance report, a SOC 2 or HIPAA posture statement, a VPAT that reflects the product as it is today. Making this material public and current does two jobs at once. It gives the answer engine something concrete to cite, and it hands the human reviewer the proof they were going to demand anyway.
Stop gating the content that earns the citation
Structured, current, crawlable content is what an answer engine can read and repeat. Much of what B2B sites lock behind forms is exactly the material that would earn the citation if it were visible. The judgment call is which assets genuinely generate qualified demand as gated downloads and which are simply hidden from the engines and buyers who would have cited them. Most sites are gating more than they should.
The staffing trap underneath it all
Forrester also predicts that marketing leaders will cut as many as 25 percent of roles after overestimating what AI will deliver, and that many will regret the capacity they lose. The warning matters here because proof decays. Claims go stale, conformance reports expire, references move on. The people who keep that material current are the ones who keep you on both the agent's shortlist and the human's. Cutting them to bank an AI efficiency that has not arrived yet is how a company drops off both lists at once.
We build B2B sites for the agent-then-human buyer: claims a stranger can verify, compliance proof published and current, structured content an answer engine can actually read. The question worth sitting with is a simple one. What is one claim on your site you could not back up tomorrow?
Source: Forrester, 2027 B2B go-to-market predictions: AI agents will influence 75% of B2B purchase decisions.
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Episode details
Forrester's 2027 B2B go-to-market predictions landed on October 21, 2026 with a headline built to rattle marketers: AI agents will influence 75 percent of B2B purchase decisions. The more useful findings sit underneath it. Forrester expects buyers to double their human conversations to check what the AI told them, and predicts that two-thirds of providers will lose deals because buyers cannot verify the claims the agent repeated. The agent writes the shortlist. A skeptical person still signs the contract, and that person is cross-examining every claim along the way. A website that is easy to cite and easy to verify wins on both counts.
Separate the headline from the finding
The 75 percent number is the part that travels, but the instruction is in the body of the research. If buyers are going to verify what an agent recommends by talking to more humans and checking more sources, then the deciding factor is not whether an answer engine mentions you. It is whether what you published survives a second look. Forrester's own prediction is blunt about the cost of failing that look: two-thirds of providers losing deals on claims that do not hold up.
Two audiences, one page
The same page now serves two readers with different needs. An AI assistant needs content it can parse and cite: clear claims, structured data, pages it can actually read rather than gated forms and images of text. A human needs something the assistant cannot supply, which is trust. They want to trace a number to its source, see a named reference, and confirm that a compliance claim is real. A page built for only one of these readers loses the other.
Run a claims audit
The exercise that moves the needle is unglamorous. Go through the site and find every superlative and every unbacked assertion, then either attach evidence a stranger could check or delete the line. The usual offenders are familiar: case studies with no numbers in them, a security page that says enterprise-grade and links nowhere, pricing hidden behind a form. An AI assistant cannot cite what you will not publish, and a skeptical buyer will not trust what they cannot trace.
Publish your compliance proof as marketing
The documentation that regulated buyers ask for late in a deal belongs in public, not in a folder someone emails after an NDA. A trust center, a current accessibility conformance report, a SOC 2 or HIPAA posture statement, a VPAT that reflects the product as it is today. Making this material public and current does two jobs at once. It gives the answer engine something concrete to cite, and it hands the human reviewer the proof they were going to demand anyway.
Stop gating the content that earns the citation
Structured, current, crawlable content is what an answer engine can read and repeat. Much of what B2B sites lock behind forms is exactly the material that would earn the citation if it were visible. The judgment call is which assets genuinely generate qualified demand as gated downloads and which are simply hidden from the engines and buyers who would have cited them. Most sites are gating more than they should.
The staffing trap underneath it all
Forrester also predicts that marketing leaders will cut as many as 25 percent of roles after overestimating what AI will deliver, and that many will regret the capacity they lose. The warning matters here because proof decays. Claims go stale, conformance reports expire, references move on. The people who keep that material current are the ones who keep you on both the agent's shortlist and the human's. Cutting them to bank an AI efficiency that has not arrived yet is how a company drops off both lists at once.
We build B2B sites for the agent-then-human buyer: claims a stranger can verify, compliance proof published and current, structured content an answer engine can actually read. The question worth sitting with is a simple one. What is one claim on your site you could not back up tomorrow?
Source: Forrester, 2027 B2B go-to-market predictions: AI agents will influence 75% of B2B purchase decisions.
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