Lesson 1 of 4
AI for Account Research

Sources First, Prompts Second

For sellers who use an AI assistant for account research. You leave with six sources to collect, one source-first prompt and a three-step check before anything reaches a buyer.

By Intandemly team · Updated 9 Oct 2026 · 6 min read · Free, no sign-up

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In this course
  1. 1.Sources first, prompts second
  2. 2.An annual report in ten minutes Coming soon
  3. 3.Committee and stakeholder briefs Coming soon
  4. 4.Fact-checking AI output Coming soon
Course overview →

What you'll learn

By the end of this lesson you can explain why an AI assistant gives better account research when it reads documents you supply, name the six sources to collect for each account, and ask for answers you can check.

Two ways to ask the same question

Ask an assistant "What are Northfield Logistics' priorities this year?" and you will get a fluent answer. It may be right. It may be drawn from an old article, from a different company with a similar name, or from nowhere at all. You cannot tell which from the answer, because a wrong answer reads exactly like a right one.

Now paste in the company's latest annual report and ask "List the priorities this document states for the coming year, and quote the passage for each." The answer is limited to what the document says, and every point comes with a quote you can find.

The first approach asks the assistant to remember. The second asks it to read. Reading is what these tools do well, so the work that matters happens before the prompt: choosing what to put in front of it.

Why memory fails for account research

Three reasons, all of which hit company research hard:

  • It is out of date. A model's knowledge stops at some point in the past. The trigger you need happened last month.
  • Detail on most companies is thin. There is a lot of text about the largest firms and very little about a mid-sized manufacturer. Where the detail is thin, a model fills the gap with something plausible.
  • Names and titles change. People move. An assistant may confidently name an executive who left two years ago.

Assistants with web search reduce the first problem. They do not remove the need to check: a search can land on an outdated page or the wrong company as easily as memory can.

The six sources to collect

For a top-tier account, gather these before opening the assistant. Fifteen to twenty minutes is enough.

#SourceWhat it gives you
1Annual report, or the "about" and strategy pages for a private companyStated priorities, risks, named programmes
2Latest results announcement or earnings call transcriptWhat leaders said recently, in their own words
3Press releases and news page, last six monthsTrigger events with dates
4Open job posts in the function you sell toWhat they are building and what they lack
5Leadership page and the relevant leaders' public profilesWho holds which role today
6Your own material: CRM notes, emails, call notesWhat they have already told you

Save each as text or a PDF, with the link and the date you found it. That small habit is what makes checking possible later.

Before you paste anything, think about confidentiality. Public documents are fine. Your own notes may hold things a customer told you in confidence. Follow your company's policy on which AI tools may see which data.

Prompts second

With sources in hand, a prompt needs three instructions and very little else.

Source-first prompt (paste with your documents)

Source-first prompt (paste with your documents)
I am researching [company] before contacting [role]. I have attached or pasted these sources: [list them].

Answer only from these sources. Do not use anything else you know about the company.

1. List the priorities the company states for the next 12 months. For each, quote the passage and name the source.
2. List any changes in the last six months (people, sites, deals, programmes), with dates and the source.
3. List anything in the sources that relates to [the problem we solve]. Quote it.
4. List what the sources do not tell me that I would need to know.

If the sources do not answer a point, say "not in the sources". Do not guess.

The three instructions doing the work are: answer only from the sources, quote the passage, and say when something is not there. An assistant that has been told it may say "not in the sources" has less reason to fill a gap with a guess.

Point 4 is the one people leave out. A list of what you do not know is your research plan for the next ten minutes, and your question list for the first call.

What goes in your notes

Keep two columns apart, always:

  • Stated: what a source says, with the quote and the link.
  • Inferred: what you or the assistant conclude from it.

"The report says they plan to open two new distribution centres in 2027" is stated. "So planning is probably under strain" is inferred. Both are useful. Only the first can go in a message as a fact. The second goes in as a question.

The check that cannot be skipped

Before anything from an assistant reaches a buyer:

  1. Open the source and find the quote.
  2. Check the date.
  3. Check that any person named still holds that job.

It takes about a minute per fact. One wrong detail in a first message to a senior buyer costs the account for a long time, so the minute is well spent. The last lesson of this course is a full routine for fact-checking.

Key takeaways

Key takeaways

  • Ask the assistant to read documents you supply, not to remember.
  • Tell it to answer only from the sources, quote the passage and say "not in the sources".
  • Check the quote, the date and the job title before anything reaches a buyer.
30 minutes

Exercise (30 minutes)

  1. Choose one top-tier account. Collect the six sources and save them with links and dates.
  2. Run the source-first prompt.
  3. Pick three facts from the answer and check each against the original.
  4. Write down what point 4 returned. That is your research list for tomorrow.
Saved in this browser only.

Why this works on named accounts

AI has made it cheap to send more messages, and buyers have responded by ignoring them. The better use is depth: an assistant that helps you read a 200-page annual report in ten minutes is worth far more than one that writes a thousand emails nobody opens. Depth only makes sense for a named list. You will not collect six sources each for five thousand companies, and you do not need to. For thirty accounts you can, and the result is a seller who walks into every conversation knowing what the company has said it wants.
How account-based selling works →

Put it into practice

AI prompts8 min read

15 AI Prompts for Account Research

For sellers who use Claude, ChatGPT or Perplexity to prepare for an account.

You leave with a set-up prompt, 15 research prompts in working order, a fact check that catches invented details and a sample of its output.

AI prompts9 min read

ChatGPT and Claude Prompts for Writing Cold Emails

For sellers who use ChatGPT or Claude to draft outreach and get emails that sound like everyone else's.

You leave with a set-up prompt, a research block, 10 prompts that draft, cut, criticise and fact-check, and one worked draft.

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