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YES

As of 13 August 2026, AI can find the right contact at a company.

Most people should do this themselves; the prompt is on this page.

Can you do it?

5 minutesto a draft.

30 minutesto something you’d act on.

Cost, all in£0/month

Skill neededchat-fluent

Who has to check ityou

What the alternative costsA specialist prospecting platform such as Apollo provides a prospect database with AI outreach sequences and enrichment.

If this goes wrong: you contact the wrong person or use an outdated detail, waste an outreach attempt and need to find a better contact.

What to actually do

  1. Do it yourself

    The route this page recommends

    A chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.

    How to actually do it

    1. Open the target company’s website and gather its company, leadership, team, contact and relevant product pages, then copy the useful text into a working document.
    2. Write down the problem you solve, the function that is most likely to own it, the UK or other territory, and any company-size or sector constraints.
    3. Open Apollo or another current business directory and search for the company, filtering by the target function, seniority, location and relevant department.
    4. Paste the company information and the resulting candidate records into the prompt, including the source or URL for each record.
    5. Ask the chatbot to rank the candidates and separate evidence from assumptions, with unknown details left blank.
    6. Open the company website and a current professional profile or business record for the recommended candidate, then compare the name, employer, job title and location with the draft.
    7. Remove any candidate whose current role cannot be confirmed, choose the verified primary contact and alternative, and send only the approved contact details into your normal outreach process.

    Prompt

    Find the most likely business contact for this account using only the company and source information I provide.

Company: [company name and website]
What we offer: [brief description]
Likely buying problem: [problem we solve]
Target function or job responsibility: [for example, procurement, IT security or finance]
Territory: [country or region]
Company size or sector: [if relevant]
Known information: [paste company pages, prospect records or search results]

Return up to five candidates in a table with: full name, current job title, company, location, why the role is relevant, evidence from the supplied information, confidence as high, medium or low, and what still needs checking. Do not invent names, job titles, email addresses, phone numbers or reporting lines. Mark missing information as unknown. Prefer the person who owns or strongly influences the stated problem, not merely the most senior person. Flag candidates whose role or company may be outdated. Then recommend one primary contact and one alternative, and give a short reason for each. Do not draft outreach until I confirm the contact details.

    Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

  2. Use a tool built for this

    Second choice

  3. Hand it to a person

    The distant third

    A person who owns the outcome does this end to end, worth it when the failure is dear.

What it gets wrong

  • AI cannot reliably know who actually controls the buying decision when the company publishes unclear reporting lines.
  • It cannot guarantee that a job title, email address or employment record is current without a live, trustworthy source.
  • It cannot infer personal influence, internal politics or whether the company is ready to buy from public information alone.
  • It can rank a plausible shortlist, but the judgement about who deserves a personalised approach remains yours.

Even on a YES, the friction has a name: real time truth, judgement under ambiguity and context depth.

How we scored this

Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.

AxisScore (0–2)
Output2
Inputs2
Verification1
Liability2
Effort delta2
Total9 / 10

The methodology and its thresholds are published in full.

FAQ

Can AI find the right person to contact at a company?
Yes, AI can produce a useful shortlist when you give it the company, buying problem, target function and territory. You still need to confirm the person’s current role and relevance before contacting them.
Can AI find someone’s work email address?
It can help locate a business email through a prospecting database such as Apollo, but it must not invent an address when none is supplied. Check the address and use it in line with your company’s privacy and marketing rules.
How do I find the decision-maker at a company?
Define the problem you solve, identify the department that owns it and search for people with that responsibility rather than choosing the most senior person. Use AI to rank candidates, then confirm each person’s current role against the company website or another current business source.
Is AI good for finding B2B contacts?
Yes, it is useful for narrowing a company into a ranked list of likely contacts and filling gaps from business data. It cannot confirm buying authority, internal influence or current intent, so those parts need human checking.

Nearby answers

All Prospecting & outreach rulings

Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.

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