As of 13 August 2026, AI can enrich your lead list with company information.
This still needs a person who signs their name to it.
Can you do it?
15 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ityou
What the alternative costsApollo is a prospect database with AI outreach sequences and enrichment.
If this goes wrong: incorrect company matches or stale facts make your outreach irrelevant and waste sales time or damage your credibility.
What to actually do
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.
Use a tool built for this
Second choiceDo it yourself
The distant thirdA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open your CRM export or spreadsheet and create a clean copy containing one row per company, keeping the company name and domain where available.
- Add columns for the exact fields you need, such as industry, UK location, company description, employee range, company status, relevant products or services, evidence URLs and confidence.
- Remove duplicate rows, correct obvious spelling errors and add the target market or sector to the prompt before uploading the file to a chatbot or enrichment tool.
- Paste the prompt and upload the cleaned list, asking the tool to preserve row order and leave uncertain matches blank rather than guessing.
- Open the evidence URL for every high-priority prospect and compare the enriched company name, domain, location, status and description with the current company website or a relevant UK public record.
- Filter out rows marked as needing review, correct the verified results in your spreadsheet and import only the approved fields into your CRM.
Prompt
Enrich the attached lead list using only information you can support from the company domain, the company's own website, and clearly identified public sources. Do not invent, infer or guess any value. For each row, return the original company name and domain, then add these fields: [industry], [UK location], [company description], [employee range], [company status], [relevant products or services], [evidence URL for each added field], and [confidence: high, medium or low]. Use the UK market and write dates as DD/MM/YYYY. Match companies by domain where available; where there is no domain or more than one plausible match, leave the field blank and mark the row as 'needs review'. Distinguish a missing value from a value that could not be verified. Do not collect personal contact details or make claims about individuals. Preserve the original row order and return a CSV-style table followed by a short list of ambiguous or unsupported rows.
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 similarly named companies when the list lacks a domain or another strong identifier.
- It cannot guarantee that employee figures, company status, products or locations are current at the moment you use them.
- It cannot decide which enrichment fields are commercially useful for your territory, proposition and account strategy.
- It cannot replace your approval of a company match before the data drives outreach or account prioritisation.
Even on a YES, the friction has a name: 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.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 2 |
| Verification | 1 |
| Liability | 2 |
| Effort delta | 2 |
| Total | 9 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT enrich a lead list?
- Yes. Give it a spreadsheet with company names or domains and a precise list of fields, and it can match companies, summarise public information and format the results for a CRM. Check important rows against the evidence links before using them.
- What information can AI add to a company list?
- It can add fields such as industry, location, company description, employee range, company status, products and services, provided the information is available from identifiable sources. It should leave unsupported fields blank rather than filling gaps with guesses.
- How accurate is AI lead enrichment?
- Accuracy depends on the quality of the company identifiers and the freshness of the sources. Domain matching is usually safer than matching on a company name alone, but you still need to check priority accounts and any field that will affect outreach.
- Is AI lead enrichment safe for UK sales outreach?
- It is suitable for organising and checking company information, but do not treat an enrichment result as proof that every field is current or that a contact can be approached. Keep personal data out of the workflow unless you have a lawful basis and the required permissions for your outreach.
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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