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YES

As of 13 August 2026, AI can enrich your lead records with company information.

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/month

Skill neededpower-user

Who has to check ityou

What the alternative costsApollo is a prospect database with AI outreach sequences and enrichment, while Clay provides AI-enriched prospect lists and personalised outreach at scale.

If this goes wrong: you route sales activity towards the wrong company or use stale information in outreach, wasting time and potentially creating a data protection or reputational problem.

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. Export a working copy of your lead records with the record ID, company name, company domain if known, country and any existing CRM company fields.
    2. Remove unnecessary contact details and check that you have a lawful reason to process the business data before sending the file to an AI or enrichment service.
    3. Open Apollo or another enrichment tool, upload the working copy, and map the company name and domain fields so the original record ID is retained.
    4. Run the enrichment with the prompt above, requesting a source URL and confidence level for every populated field.
    5. Export the enriched results and sort them first by low confidence, missing source URL and conflicting company identity.
    6. Open the cited company websites and other source pages for those records, then compare the company name, domain, activity, location and trading status with the source before writing anything back to the CRM.
    7. Write only the verified fields into the CRM, retain the source and checking date, and leave unsupported fields blank rather than accepting the model's guess.

    Prompt

    Enrich this business lead list using only information you can support from the supplied records and publicly accessible company sources.

For each record, return:
- original company name
- matched legal or trading company name
- company website and domain
- registered company number, only if clearly supported
- registered or principal location, only if clearly supported
- industry or main activity
- approximate company size or employee band, only when a source states it
- parent company or ownership information, only when clearly supported
- current trading status, only when clearly supported
- source URL for every populated field
- the source's publication or access date when available
- confidence: high, medium or low
- a short reason for any uncertain match

Do not guess, infer from the company name, fill gaps with typical values, merge two companies without evidence, or use personal information about individual contacts. Preserve the original record identifier. If no reliable match exists, say 'no reliable match'. Return a table followed by a separate list of records that need manual checking. Here are the records:

[PASTE LEAD RECORDS HERE]

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

What it gets wrong

  • AI cannot reliably distinguish every similarly named company, subsidiary or parent without a stable identifier such as a domain or registered company number.
  • It cannot guarantee that employee counts, trading status, ownership or industry descriptions are current.
  • It cannot decide your lawful basis, retention period or acceptable use of the enriched data.
  • It cannot remove the need to check source pages when an incorrect match would affect targeting or outreach.
  • It cannot access private CRM fields, paid databases or internal account knowledge unless you deliberately provide access.

Even on a YES, the friction has a name: real time truth, verification cost and private data access.

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
Liability1
Effort delta2
Total8 / 10

The methodology and its thresholds are published in full.

FAQ

Can AI add company details to my CRM leads?
Yes. Enrichment tools can match business records and add fields such as websites, industry, location and company size. Keep the original record ID and require a source URL so you can check the match before updating the CRM.
What information do I need to enrich a lead record?
A company name and domain are a useful minimum, while a registered company number gives you a stronger match. Include the record ID and country where available, and remove contact data that the task does not need.
Can AI tell me if a company is still trading?
It can collect indications from available company sources, but it cannot guarantee that the result is current. Check the cited source and use an authoritative UK register or the company's own current information before relying on the status.
Is AI enrichment of lead records GDPR compliant?
Not automatically. You are responsible for your lawful basis, transparency, data minimisation, retention and use of the enriched data, and this is not professional advice. For a serious or uncertain case, speak to your data protection officer or a solicitor.

Nearby answers

All Lead qualification 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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