Answers

What content do finance, security, and procurement need before approving a purchase?

Short answer

Roughly three documents each, and most should be public rather than gated. Finance needs total cost over time, contract terms, and a business case. Security needs where data lives, who can see it, and your certifications. Procurement needs standard terms, references, and an exit plan. Missing any of these stalls a deal your champion has already won.

Find out where your deals actually stall

Before building anything, look at where deals sit longest.

Pull your last 30 deals that reached a late stage and measure how many days each spent in the final stage or two. Then read the notes on the slowest ten. You are looking for the specific request that paused things: a security questionnaire, a legal review, a request for a business case.

Most companies find the same two or three requests over and over. That list is what to build, and it is usually shorter than the generic checklist below.

Give finance the numbers they will build anyway

Finance is going to build a model whether you help or not. If you do not give them the numbers, they will guess, and guesses are conservative.

The third one is the least common and the most useful. A model with your assumptions exposed reads as confidence. A one-page PDF claiming a 300% return reads as marketing and gets ignored.

Give security the answers before they ask

Security reviews stall deals more than any other stage, and almost all of it is avoidable.

Make all three public. Gating security documentation behind a form is the single most common self-inflicted delay in B2B, because the security reviewer is not your lead and will not fill in your form. They will email your champion, who will email you, and you have lost a week.

If you have a standard questionnaire already filled in, publish that too. What should an implementation guide include for a risk-conscious buyer covers the related document.

Give procurement a path that does not need you

Procurement's job is to reduce risk and time. Everything you publish that removes a negotiation removes a delay.

The exit plan feels counterintuitive and it converts. A buyer who can see the way out commits more easily, because the decision stops feeling permanent.

Make sure these pages exist where buyers look

There is a reason to make all of this public beyond convenience.

Buying committee members research quietly, and increasingly they ask an AI assistant rather than your website. Our own state of AI search research found company sites and product pages made up 68.8% of what ChatGPT cited, while lists, comparisons and reviews made up 34.4% of Perplexity and 33.1% of Google AI Mode.

Google's AI features documentation explains that eligibility follows ordinary indexing, and a page behind a form is not indexed. Gated documents therefore cannot be cited by anything. So a security page behind a form is invisible to the assistant your buyer's IT director is asking, and the answer gets built from whatever else is available, which may be a competitor's comparison page.

You can check this directly. Use Ad Hoc Prompt Searches in Analyze AI to ask the questions a security or finance reviewer would ask about you, and read what comes back. The Perception view then shows whether the description is confident or hedged, and the proof-gaps recipe flags pages making claims you have not evidenced.

Analyze AI listing the pages and domains cited in AI answers Sources shows which pages assistants can actually reach, which is how you find out whether your security page is visible to them at all.

Keep the list driven by real stalls

Start (webhook, fired when a deal enters your final stage) → HubSpot Get Deal with notes and engagements → Transcribe Audio on any recorded review calls → Prompt LLM pulling out every document or answer that was requested → Code node counting requests across deals → Conditional flagging any request appearing in three or more deals with no page to answer it → Send Notification to the content channel.

Counting requests across deals rather than reacting to each one is what keeps this proportionate. One buyer asking for an unusual document is a one-off email. The same request in three deals is a page.

An Analyze AI agent step that sends its result to a channel A notification step surfaces a document request the third time it appears, rather than waiting for someone to notice the pattern.

FAQ


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