How to Research a New Commercial Lead Before You Send a Service Proposal With AI

Commercial prospects often need more than a generic quote. A little research makes your proposal more relevant, but most owners do not have time for a long manual prep process.

Who this is for

Good for agencies, B2B service firms, consultants, facility service vendors, and any operator selling into small or midsize commercial clients.

Prerequisites

• The lead's company name and website.
• Any inquiry email or call notes.
• An AI tool with web access or pasted source material.

Step-by-step workflow

1. Collect source material first

Grab the inquiry, website copy, location details, and any notes from the call.

2. Ask AI for a lead brief

Have the model summarize what the company does, likely priorities, likely pain points, and fit with your service.

3. Pull out proposal hooks

Look for operational details you can reference in your proposal intro or scope framing.

4. Draft a tailored opening section

Use the brief to write a short proposal intro that sounds specific to the prospect.

5. Do a truth check

Every factual statement about the lead should be traceable to the source material you provided.

Tool-specific instructions

ChatGPT and Gemini are especially useful if you want the model to work from pasted source text, uploaded company materials, or files. Claude is a solid option when the research is already gathered and the main need is strong proposal wording.

Copy/paste prompt block

{
  "task": "Create a commercial lead brief for proposal drafting",
  "instructions": [
    "Read the source material below.",
    "Summarize what the company appears to do.",
    "List likely operational priorities relevant to our service.",
    "List 3 to 5 facts or clues we can reference in a tailored proposal.",
    "Then draft a short proposal opening paragraph in plain English.",
    "Do not invent facts. Only use the source material provided."
  ],
  "source_material": "Paste the inquiry, website copy, and notes here."
}

Quality checks

Read the final opening paragraph and verify that every detail is traceable to a real source. The point is tailored relevance, not flattering filler.

Common failure modes and fixes

AI can overstate certainty when reading sparse company information. Fix that by asking it to distinguish between confirmed facts and reasonable inferences.