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PARTLY

As of 13 August 2026, AI can only partly find UK businesses that use a specific software.

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 ityou

What the alternative costsA purpose-built alternative is Apollo.io, a prospect database with AI outreach sequences and enrichment.

If this goes wrong: you contact businesses that do not use the software, waste prospecting time and make your outreach look poorly researched.

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. Write down the exact software name, its alternative names, the UK sectors and locations you want, the minimum company size, and any businesses or industries to exclude.
    2. Open a chatbot and paste the prompt, replacing each bracketed slot with your criteria and the software's exact name.
    3. Ask the chatbot to produce a broad shortlist first, keeping the source URL and evidence type for every business rather than asking for a list of names alone.
    4. Open the cited company websites, job adverts and public technology pages for the highest-confidence businesses and compare the evidence with the chatbot's description.
    5. Remove any business where the source only mentions a competitor, a former employee's experience, a generic integration or an undated claim that does not support current use.
    6. Paste the surviving company names and evidence back into the chatbot and ask it to rank them by evidence strength and suggest the relevant buying role without inventing contact details.
    7. Export the checked accounts to your CRM or prospecting tool, record the evidence URL and date beside each account, and write outreach that refers only to facts you verified.

    Prompt

    Find UK businesses that are likely to use [SOFTWARE NAME]. Build a shortlist for sales prospecting, focused on [TARGET SECTOR OR SECTORS], [COMPANY SIZE], and [UK LOCATIONS]. Exclude [EXCLUSIONS].
    
    For each business, provide:
    1. Legal or trading name.
    2. Website and location.
    3. Evidence that it uses the software, with the exact source URL and the date shown by the source if available.
    4. Whether the evidence is direct, strong indirect evidence, or weak indirect evidence.
    5. A confidence rating of high, medium or low, with one sentence explaining it.
    6. A relevant role or department to contact, without inventing a person's name or contact details.
    
    Use only publicly available evidence. Do not treat a software partner, directory listing, job advert or keyword mention as proof of current use unless the source clearly supports that conclusion. Separate confirmed evidence from inference, flag sources that may be out of date, remove duplicates, and say when you cannot verify a business. Do not invent businesses, software use, employee names, email addresses or facts. Return the results in a table, followed by a short list of the five accounts that need the least manual checking.

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

What it gets wrong

  • Cannot see a private or unadvertised software installation, so a quiet user may be missed.
  • Cannot turn a job advert, integration page or software directory entry into reliable proof of current use.
  • Cannot know whether the named software is still used across the business or only by one team.
  • Cannot judge whether a likely user is a good commercial prospect without your account knowledge and sales context.
  • Cannot keep every technology signal current once a company changes suppliers or systems.

What caps this at PARTLY: verification cost, real time truth and judgement under ambiguity.

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)
Output1
Inputs2
Verification1
Liability2
Effort delta1
Total7 / 10

FAQ

Can AI find companies that use a particular software?
Partly. It can build a shortlist from public websites, job adverts, directories and technology signals, but those sources often show likely use rather than confirmed current use.
How do I find businesses using a specific software?
Give AI the software name, its alternative names, your UK target sectors and locations, and ask for a source URL and evidence classification for every result. Open the sources yourself and remove accounts where the evidence is indirect, old or ambiguous.
Can Apollo find companies using a specific technology?
Apollo can help with prospect databases, AI outreach sequences and enrichment, so it is useful for building and organising a target list. It does not remove the need to check whether the technology evidence is current or whether the account is commercially relevant.
Is it accurate to target businesses based on their software stack?
Only as a qualification signal. Public technology data can be incomplete or out of date, so treat it as a reason to research or ask a relevant question, not as a fact to assert in your first message.

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.

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