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Research an incoming company and its decision makers before a first sales meeting

when done manually, account research is slow and inconsistent. important context is often missed because there is rarely enough time to dig through annual reports, recent news, and social profiles for every single scheduled call.

Before
30 min
After
12 min
Saved
18 min
Step diagram: Research an incoming company and its decision makers before a first sales meeting — 5 steps, 3 handled by AI and 2 by you.

How this used to go

  • Open the company website and read the 'About Us' and 'Products' pages to understand what the business does.
  • Search Google for recent news, press releases, or funding announcements regarding the company.
  • Look up the specific attendees on LinkedIn to review their past employment history, tenure, and recent posts.
  • Check the company profile on review sites or industry directories to see current customer sentiment.
  • Review internal CRM records to see if any other team member has previously communicated with anyone at the company.
  • Synthesize the findings into a brief pre-call notes document or CRM update.

switching between multiple browser tabs and data sources to piece together a coherent picture of the account, only to find that half the information is outdated or irrelevant.

The workflow, step by step

  1. AI

    1. Collect account and attendee context

    Gather the company website, recent public news and announcements, available attendee profiles, review or directory information, and relevant CRM records. Separate sourced facts from gaps, and flag information that may be outdated, inaccessible, or based only on an inference.

  2. AI

    2. Organize the research into a short account brief

    Group the findings into company priorities, products or markets, recent developments, attendee roles and background, customer sentiment, prior internal interactions, and open questions. Keep a source note beside each material fact rather than presenting assumptions as confirmed information.

  3. You

    3. Choose the meeting hypothesis

    Decide which account priority and attendee concern are credible enough to shape the first conversation, and discard unsupported or irrelevant claims. This choice determines the opening questions and prevents the meeting from being built around stale or speculative research.

  4. AI

    4. Draft the pre-call plan

    Turn the approved direction into a concise brief with an account summary, attendee context, evidence and source notes, likely priorities, three to five discovery questions, relevant CRM history, and claims that still need confirmation. Do not treat restricted profiles, missing records, or inferred intent as verified.

  5. You

    5. Finalize and use the brief

    Check the selected facts against the available sources, remove anything too uncertain to raise, and add the final meeting objective and next-step decision criteria. Save the approved brief to the CRM or meeting record and use it to prepare the opening and discovery questions.

What you end up with

An approved, source-aware pre-call brief containing the company and attendee summary, recent developments, relevant CRM history, a chosen meeting hypothesis, discovery questions, and clearly marked information gaps.

Where this falls apart

  • The target company has a common name shared by multiple distinct businesses, causing the AI to mix news, financial reports, and product details from unrelated entities into the research brief.
  • Key decision makers have private social profiles or limited public work histories, leading the AI to hallucinate employment tenure or misidentify current roles based on outdated web mentions.