Verity AI Value Selling
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See a sample How it works What is value selling?
AI Value Selling

Turn any idea or prospect into a boardroom-ready value case.

Verity researches the business and builds the discovery, business case, ROI, outreach plan and cross-sell strategy — in minutes, tailored to the person you are selling to.

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Grounded in the public register · sourced · testable by the buyer

Research in minutes

Verity reads the account and assembles a credible, sourced value case while you grab a coffee. For UK companies it also checks the official Companies House register, and worldwide it cross-checks GLEIF, the international entity register — so the case rests on verified facts, not just public signals, wherever the prospect is.

Tailored to the individual

Every dossier is framed for the persona you select — the CFO sees payback and risk, the CRO sees pipeline and productivity. Same account, the right language for the room.

Go-to-market ready

Strategic priorities, ROI, a stakeholder map, an outreach plan and cross-sell drawn from your own portfolio; then export to PDF and share.

From a company name to a value case in three steps

No blank page, no prompt engineering. Tell Verity who you are selling to and what you sell — it does the rest.

1. Tell it who you are selling to

Enter the prospect, their website, the buyer persona and the solution you are positioning. That is the whole input — about thirty seconds of typing.

2. Verity researches the account

It searches public sources for their strategy, priorities, pressures and recent developments — looks UK companies up on Companies House and any company worldwide up on GLEIF, the international legal entity register, surfacing the parent company where one exists — then keeps every source so each claim can be traced back and defended.

3. You get a boardroom-ready dossier

Strategic priorities, business challenges, required capabilities, a quantified ROI model, references, a stakeholder map and an outreach plan — framed for your buyer, exportable to PDF and shareable by link.

What is value selling?

Guides by buyer

Building a value case for a specific buyer

The same account needs a different argument depending on who is reading it.

CFO Building a value case for a CFO Read the guide → CRO Building a value case for a CRO Read the guide → CIO Building a value case for a CIO Read the guide → COO Building a value case for a COO Read the guide → CMO Building a value case for a CMO Read the guide → Chief Data Officer Building a value case for a Chief Data Officer Read the guide →
Why not just use ChatGPT?

A raw LLM gives you an answer. Verity gives you a deal.

You could paste prompts into ChatGPT, Claude or Gemini all day. The difference isn't the model — it's everything wrapped around it.

Doing it yourself in a chatbot

  • A blank box and the burden of knowing what to ask
  • Generic output unless you're an expert prompter
  • No value-selling methodology — you supply the rigour
  • Different every time; nothing is repeatable across your team
  • Answers vanish in chat history — nothing saved or shareable
  • You manually stitch research, ROI, contacts and outreach together
  • It doesn't know what you sell or who you're selling to

Verity

  • One prospect + persona in — a complete dossier out
  • A proven discovery & value-selling framework baked into every section
  • Persona-tuned: a CFO build reads differently to a CRO build
  • Sourced account research, ROI model, references and a who-to-approach plan
  • Cross-sell drawn from your own product portfolio
  • Every case saved, re-openable, exportable to PDF and shareable
  • Consistent, on-brand output your whole team can stand behind

The secret sauce: years of value-selling best practice, persona intelligence and your portfolio — turned into a repeatable system, not a one-off prompt. That's what your subscription buys, and what a chat window can't.

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