See what AI tells buyers before they talk to sales.

The Live AI Walkthrough is a 20-minute diagnostic for B2B SaaS leaders. We recreate the questions a serious buyer might ask ChatGPT, Claude, Gemini, or Perplexity before entering your pipeline, then show the answers on screen.

20 minutesYour companyReal buyer promptsNo deck

No sensitive internal data is required. The session uses public buyer-facing prompts, public evidence, and only the context you choose to provide.

01The job

A fast way to see the buyer-research layer you do not control.

Most SaaS teams track traffic, pipeline, demos, and win rates. Very few track how AI systems explain their company when a buyer asks whether they should trust, shortlist, or avoid them.

Buyer moment

Before CRM

Primary risk

Misframing

Session type

Live diagnostic

Outcome

First read

The walkthrough is not meant to prove a pre-written thesis. It is designed to create a useful moment of truth: what does AI actually say when a buyer asks?

02What happens live

A buyer-research session, run on screen.

Frame

We start with your company, category, buyer, and one or two competitors or alternatives. The goal is to mirror a real buying committee doing research before a vendor call.

Interrogate

We ask buyer-critical questions across major AI systems. You see answers verbatim, including favorable framing, weak claims, omissions, outdated narratives, and competitor defaults.

Trace

For material claims, we identify what public evidence appears to support the answer, what evidence is missing, and where the model is likely filling gaps conservatively.

Decide

You leave with a first read on whether deeper work is warranted: stronger enterprise proof, clearer category language, cleaner competitive framing, or a more accessible trust record.

03What you leave with

A useful first read, not a vague discovery call.

The session is designed to leave leadership with concrete observations even when no deeper engagement is needed.

Current framing

A first read on how major AI systems currently describe your company, category, strengths, and risks.

Buyer questions

The prompts where your answer is strong, weak, stale, inconsistent, or unexpectedly favorable.

Evidence read

The public evidence that appears to support important claims, plus the proof that is missing, buried, or ambiguous.

First priorities

The first one to three evidence gaps that appear most commercially relevant.

Next decision

A clear recommendation on whether the problem warrants a deeper Sprint or can be handled internally.

Best use of the walkthrough

It is most useful when buyers compare you against better-known incumbents, question enterprise readiness, or need to trust a category they do not fully understand yet.

What to bring

No preparation is required. Helpful context includes your website, primary competitors, buyer segment, and anything you already suspect AI gets wrong about your company.

04What we ask

Simple prompts, commercial consequences.

The questions are not clever. They are the questions buyers already care about when risk, budget, security, implementation, and internal confidence are on the line.

>

"Should we shortlist [company] for this category?"

>

"How does [company] compare to [competitor]?"

>

"Can [company] support enterprise deployment?"

>

"What are the risks of choosing them?"

>

"What public evidence supports their claims?"

>

"Who are the safer alternatives?"

The prompt is not the product. The product is understanding how the public record turns into a buyer-facing judgment.

05Best fit

Worth doing when one misframed shortlist can matter.

Good fit

  • B2B SaaS selling into mid-market or enterprise.
  • Category, trust, security, compliance, or implementation risk shapes the deal.
  • Buyers compare you against better-known incumbents.
  • Your current proof is stronger than what AI can easily find.
  • One deal is valuable enough that hidden shortlist risk matters.

Not the right fit

  • You need guaranteed control over AI outputs.
  • You only want mention tracking or keyword rankings.
  • You are not willing to improve public evidence.
  • Your buyers do not research vendors before the first call.
  • Your main growth problem is raw traffic, not trust or interpretation.

Clear scope: we do not promise to change model behavior live. We show the current buyer-facing interpretation, explain what appears to drive it, and determine whether the issue is commercially meaningful enough for deeper work.

See the buyer-facing interpretation before deciding what to fix.

Twenty minutes can reveal whether your public evidence is helping, missing, or quietly working against the sale.

Book a Live AI Walkthrough