Home · Business · Sales · Prospecting & outreach

PARTLY

As of 13 August 2026, AI can only partly find prospects showing buying intent.

This still needs a person who signs their name to it.

Can you do it?

15 minutesto a draft.

1 hourto something you’d act on.

Cost, all in£0

Skill neededpower-user

Who has to check ita colleague

What the alternative costsThe supplied data gives no price for a human sales researcher or other alternative.

If this goes wrong: your team spends time pursuing uninterested accounts, misses better opportunities and may damage its reputation through poorly targeted outreach.

What to actually do

  1. Hand it to a person

    The route this page recommends

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

  2. Use a tool built for this

    Second choice
  3. Do it yourself

    The distant third

    A chat interface, power-user skill, and roughly 1 hour until you can act on the result.

    How to actually do it

    1. Open your CRM and export the current prospect and customer list, including company name, contact role, account owner, last contact, outcome and any opt-out or suppression status.
    2. Write down the ideal customer profile, the problem your offer solves, the UK locations and sectors you can serve, and the account or role exclusions.
    3. Gather the permitted public and first-party signals, such as relevant website activity, event registrations, enquiries, product usage or recent business changes, with the source and date for each signal.
    4. Paste the profile, exclusions and cleaned account data into a chatbot with the prompt, then ask it to produce the evidence-based intent table and shortlist.
    5. Open each cited source and compare the company, role, signal and date against the drafted table, removing any row where the source does not support the claim.
    6. Ask a colleague or account owner to confirm the remaining prospects, check CRM history and suppression records, then send only an approved, relevant first message through your normal compliant outreach process.

    Prompt

    Find prospects showing buying intent for [PRODUCT OR SERVICE] in the UK.
    
    Ideal customer profile:
    - Industry: [INDUSTRIES]
    - Company size: [SIZE OR TURNOVER BAND]
    - Locations: [UK LOCATIONS]
    - Relevant job roles: [JOB TITLES]
    - Problem solved: [PROBLEM]
    - Exclusions: [COMPANIES, SECTORS OR ROLES TO EXCLUDE]
    
    Use only the account, CRM and public-source information I provide or explicitly identify. For each prospect, return a table with: company, relevant contact or job role, evidence of intent, source and date of the evidence, fit with the ideal customer profile, suggested reason to contact them, confidence level, and what still needs checking.
    
    Separate direct buying signals from weak indicators. Do not call a prospect interested merely because they match the profile, visited a generic page, posted on social media, or work in a relevant industry. Do not invent names, roles, intent, dates, sources or contact details. Flag missing or stale evidence. Identify possible duplicates and existing customers. Do not recommend contacting anyone who has opted out or where the available information does not support a lawful and appropriate outreach route. Finish with the five accounts most worth checking first and explain the evidence for each. State clearly that the list identifies possible intent, not confirmed purchase plans.

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

What it gets wrong

  • AI cannot see private website activity, CRM history or product usage unless you connect or provide those sources.
  • It cannot distinguish genuine purchase research from routine browsing or public activity without context from your sales team.
  • It cannot confirm that a named person is the current decision-maker or that the person wants contact.
  • It cannot take responsibility for unlawful targeting, ignored opt-outs or a damaged customer relationship.
  • Its ranking becomes stale as soon as the underlying signals or account records change.

What caps this at PARTLY: judgement under ambiguity, private data access and verification cost.

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
Inputs1
Verification1
Liability1
Effort delta2
Total7 / 10

FAQ

Can AI identify prospects who are ready to buy?
It can identify accounts with signals that may indicate buying interest, such as relevant activity or a recent business change. It cannot confirm that an account is ready to buy, so a salesperson must check the evidence and context.
What data does AI need to find prospects showing buying intent?
Give it your ideal customer profile, account list, CRM history and the public or first-party signals you are allowed to use. Without those inputs, it mainly produces generic prospects based on weak assumptions.
Is AI accurate at finding buying intent?
It is useful for collecting and organising evidence, but buying intent is ambiguous and false positives are common. Check every cited signal, date, role and account history before contacting anyone.
Can AI find prospects without accessing my CRM?
It can use public information to build a basic prospect list, but it will miss private intent signals, previous conversations, existing customers and suppression records. Export only the fields you are authorised to share, or use a sales platform with the appropriate access controls.

Nearby answers

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.

The newsletter

AI news, new answers and product picks, straight to your inbox.