Prospect research for small agencies and consultants
Prospect research is a service that builds lists of well-matched potential business customers for small agencies and consultants. An AI agent gathers public company information and a reason each one fits, and you check quality and data protection compliance.
At a glance
What the agent does
Searches public sources for companies that match a client's ideal customer profile, records firmographic details and a reason each company is a good fit, and drafts a short personalised opening line for each.
What you need
- An AI agent that can search and browse the web
- A spreadsheet or simple CRM
- A working knowledge of UK GDPR and PECR for business contacts
- Clients who sell to other businesses
How it earns
Per-list project fees or a monthly retainer for a steady flow of researched prospects. Pricing reflects research depth, not raw volume.
Effort and cost
- Difficulty: Intermediate.
- Start-up cost: Low. A few modest monthly subscriptions.
- Time to first £: Weeks. Usually a few weeks of setup and outreach.
What it is
Small marketing agencies, freelance consultants and software start-ups all need a steady supply of businesses to talk to. Buying generic lead lists is expensive and often low quality; researching prospects by hand is slow. In between sits a useful service: carefully researched lists of companies that genuinely match the client’s ideal customer, each with a clear reason why.
The agent does the searching, reading and note-taking across public sources such as company websites, Companies House, industry directories, news coverage and job adverts. You define the criteria, check quality and make sure the work is done lawfully.
Who it suits
It suits analytical people who enjoy research and are comfortable with spreadsheets, especially anyone with experience in sales, recruitment or marketing. It is rated intermediate because quality control and data protection both need care. The work is easy to schedule around other commitments.
What you need
- An agent that can run web searches and read company pages reliably.
- A spreadsheet or lightweight CRM with consistent columns: company name, website, location, size indicators, fit reason, source link and date checked.
- Data protection knowledge. In the UK, business-to-business research and marketing are covered by UK GDPR and, for electronic marketing, PECR. The ICO’s guidance is the place to start.
- A written process so every list is researched the same way.
Setting it up with an agent
- Define the ideal customer profile. With the client, write down sector, size, location, technology used, signs of need (for example, hiring for a role the client’s service replaces) and exclusions. Vague criteria produce poor lists.
- Choose sources. Agree which public sources to use. Company websites and Companies House are reliable starting points; job boards and news coverage are useful signals of change or growth.
- Run the research in batches. Ask the agent to find companies matching the profile, visit each website and fill in the columns. Insist on a source link for every fact and a one-line reason the company fits.
- Focus on company-level data. Where the client needs a named contact, prefer generic business addresses and role titles from the company’s own site. Don’t scrape personal social profiles, and don’t guess email addresses.
- Quality check by hand. Review a sample of each batch yourself, plus anything the agent marked as uncertain. Remove poor matches rather than padding the numbers.
- Draft openers carefully. If the client wants them, ask the agent for a short, specific opening line per company based on the fit reason. The client should edit and send their own messages.
- Deliver with a note. Include the date researched, sources used and a reminder of the client’s responsibilities when contacting people.
Finding your first customers
Your best customers already do outbound sales but find research a chore. Small agencies, independent consultants and early-stage software companies are a good place to start. Offer a short sample list built against a profile they describe, so they can judge the quality. Business networking groups, founder communities and LinkedIn are natural places to find them. Specialising in one sector you understand makes your lists noticeably better.
Realistic pitfalls
- Data protection. Named individuals’ details are personal data even in a business setting. Keep a lawful basis, collect only what is needed, record sources and support objection requests. When in doubt, deliver company-level research only.
- Platform terms. Many sites prohibit automated scraping. Keep to sources that allow it and respect robots.txt and rate limits.
- Stale data. Companies change quickly. Date-stamp every row and don’t resell old lists.
- Hallucinated details. Agents occasionally invent employee counts or misattribute news. A source link for every fact makes errors easy to catch.
- Being blamed for results. You supply research, not replies. Make it clear that response rates depend on the client’s offer and outreach.
How to price it
Price by the depth of research rather than the number of rows: a shorter list with strong fit reasons and verified sources is worth more than a long, thin one. Projects can be quoted per list; a monthly retainer suits clients who want a steady flow. Include the profile workshop in your first project fee, since that is where much of the value lies.
Frequently asked questions
Is prospect research legal under UK data protection law?
It can be, if done carefully. Named individuals’ details are personal data, so you need a lawful basis, should collect only what is needed and must follow UK GDPR and PECR. The ICO’s guidance is the place to start.
Can I scrape any website for prospect data?
No. Many sites prohibit automated scraping. Keep to sources that allow it and respect robots.txt and rate limits.
How do I stop the agent inventing details?
Require a source link for every fact and spot-check rows before delivery. That makes invented or misattributed details easy to catch.
How is prospect research priced?
Usually per list as a project fee or as a monthly retainer, priced on research depth rather than the raw number of rows.