Ask better questions before the sales call.

Seven tabs and no good opening question

Research is not the same as understanding

A seller opens a company site, LinkedIn, news and notes, then arrives with an inconsistent brief.

1. Open the company website and public profiles.
2. Read recent, relevant news.
3. Copy facts into notes and save the links.
4. Turn the notes into questions for the meeting.
5. Remove anything old, weak or speculative.

Write this version down before touching a tool. Otherwise there is nothing fair to compare.

Use AI to organise facts, not invent insight

Feed labelled public links and approved notes. AI can group the facts, show missing evidence and draft a one-page agenda. It cannot know the prospect’s private priorities.

AI can turn links and approved notes into a one-page brief: what is known, source links, open questions and a call agenda.

AI prepares. A person decides.

A sourced briefing workflow

Before: the seller copies facts from seven tabs into a loose note. With assistance: the same links become a one-page brief divided into verified facts, dates, sources and questions. The seller deletes two claims whose sources are old.

The improvement is a better starting conversation. It is not proof that the prospect will buy, and the brief should never pretend to know a private need.

This does not remove the person. It removes part of the repetitive preparation and gives that person a smaller set of exceptions to inspect.

What changes before and after

Measure preparation time, factual corrections and whether the brief produces better discovery questions—not closed revenue.

The outcome is better preparation and less tab-switching—not a promise of more closed deals.

Measure the work before and after on the same kind of task. Count corrections and serious errors as well as minutes. A faster draft that creates more checking is not an improvement.

The assumptions a seller must challenge

Public does not mean accurate

Public pages can still be wrong or old. Store the link and date beside each claim. Do not add scraped personal data the team is not allowed to use.

Business and financial tasks appear in real AI usage data, but that does not establish conversion or revenue impact.

How a confident brief can be wrong

Stale facts, fabricated claims, privacy-invasive enrichment, overconfident assumptions and generic talking points.

Do not use AI if you are relying on sensitive enrichment, have no sources to check, or the meeting is simple enough to prepare manually in a few minutes.

AI does not fix a broken process. Sometimes it simply makes the broken process faster. If the rules are unclear, fix the rules first.

Test it beside the current method

Create five sourced briefs for upcoming calls; ask the seller to mark errors and compare with their normal prep.

Create five briefs for real upcoming calls. The seller marks factual errors, unused sections and which questions improved the conversation. Closed revenue is too noisy for a one-week test.

1. Choose one low-risk, repeated task.
2. Keep the current method beside the test.
3. Have the person who owns the work score every output.
4. Stop if checking takes longer, errors rise or data cannot be handled safely.

When preparation becomes useful paid work

Sales teams already pay for research and preparation. The sellable output is a short, current, sourced brief—not a promise that AI closes deals.

A sales lead if a repeatable brief reduces preparation friction across real meetings.

If businesses do not already value the result, adding AI does not create a market.