Prospecting eats the hours you should spend on paid work. You search for businesses, copy details into a sheet, hunt for an email, guess at the owner's name, write something personal, then forget to follow up. An AI agent can take over the repetitive parts, but only if you give it a clear workflow. Without one, you get a pile of generic emails sent to the wrong people.
This guide walks through a workflow you can set up today. The AI does the grunt work. You make the judgment calls.
Decide what the agent is allowed to do
Before touching any tool, write down the jobs you will hand over and the ones you keep. A sensible split for a small business or agency:
- Agent does: search for leads, pull public business details, score how well each lead fits, research each website, draft a first line and a short email.
- You do: approve the target list, review drafts before they go out, decide who gets a call, reply to interested people.
Keeping a human on the send button matters. AI drafts can be confidently wrong about a business, and one bad assumption in a cold email costs you the lead.
Step 1: Write a one-paragraph targeting brief
Agents work best with tight instructions. Write a brief you can paste into any AI tool:
- Who: business type and location, such as "independent house painters in Leeds and Bradford".
- Fit signals: has a website, has reviews, no recent social posts, runs ads, whatever matters for your offer.
- Disqualifiers: chains, franchises, businesses outside your service area.
- Offer: one sentence on what you sell and the result it gets.
If you are unsure which niche to start with, pick one where you can name a specific problem. Our pages on painters and law firms show how the angle changes by industry.
Step 2: Give the agent a real lead source
An AI chatbot asked to "find 50 plumbers in Austin" will often invent names or give stale results. Feed it real data instead.
GetClient's Google Maps scraper searches live by keyword and location, and you can run bulk keywords across several cities at once. Each lead can include business name, category, address, phone, website, emails found, the owner's name and title with a confidence score, and social profiles, where these are public. GetClient also has a REST API and an MCP server, so an AI tool that supports MCP can request and work with leads directly rather than guessing.
Already have a list from elsewhere? Import leads from CSV into My Leads and add custom fields for the agent's output, such as fit score and first line.
Step 3: Let the agent qualify and research
Now give the agent each lead with your brief and a fixed set of questions. Ask for structured output so you can sort it:
- Fit score from 1 to 5, with one sentence explaining why.
- One specific, verifiable observation from their website or listing.
- A suggested first line using that observation.
- Any reason to skip this lead.
Tell it plainly: "If you cannot find something, say so. Do not guess." This single instruction cuts most made-up details.
Then spot-check. Open five leads at random and confirm the observations are true. If the agent is wrong on more than one or two, tighten the brief before continuing. Drop anything scored 1 or 2.
Step 4: Clean the list before anything is sent
Run email verification on the qualified list. Bounces hurt your sending reputation, and an agent has no idea whether an address still works. Also confirm your domain is set up correctly; if SPF, DKIM and DMARC are unfamiliar, read SPF, DKIM and DMARC explained first.
Cold email rules differ by country, so check the ones that apply to you and your recipients. At minimum, identify yourself honestly and give people an easy way to opt out.
Step 5: Turn drafts into a short sequence
Don't let the agent write a unique 300-word essay per lead. It is slow to review and tends to drift. Instead, use a template with merge tags and one personal line from the research step:
Hi {{params.firstname}}, [agent's first line]. I help {{params.category}} businesses in {{params.city}} get more booked jobs from their website. Worth a quick chat about {{params.website}}?
In GetClient, merge tags must be written exactly like {{params.name}}, {{params.firstname}}, {{params.website}}, {{params.city}} and {{params.category}}, because only that form is filled in when sending. Store the agent's personal line in a custom field and review it lead by lead.
Build two or three follow-ups. A three step email sequence is a good starting shape. In the visual flow builder you can chain steps with delays and branch on If Opened, If NOT Opened, If Clicked or If NOT Clicked, so someone who clicked gets a different message from someone who never opened. Preview each step before scheduling, and set weekday send limits so you stay at a modest pace from your own Gmail, Outlook or SMTP mailboxes. Every email includes a one-click unsubscribe link, and unsubscribed addresses are skipped automatically.
Step 6: Keep a human on replies
This is where you step back in. Read replies in the Inbox, answer interested people yourself, and use the agent only to suggest drafts. A prospect who replies wants a person.
For leads who clicked but never answered, a short call can work well. Our cold call script after email gives you wording that references the email without sounding pushy.
Review the workflow weekly
Once a week, look at campaign analytics and ask:
- Which fit scores turned into replies? Adjust the brief to favour them.
- Were any first lines wrong or awkward? Add rules to the agent prompt.
- Are opens fine but replies low? The offer or ask probably needs work. See how to fix a low reply rate.
Treat the prompt like a living document. Small edits each week add up to an agent that understands your market.
You can try this workflow with the 100 free credits new GetClient accounts get, no card needed. Plans and credit packs are on the pricing page.