What prospecting actually is
Prospecting is the process of turning a vague ambition (we need links) into a specific, finite list of named people at named sites who have a plausible reason to mention you. Everything in this module is upstream of outreach. None of it involves writing an email.
The reason it gets skipped is that it is unglamorous and it produces no visible output. You can spend two days prospecting and have nothing to show a client except a spreadsheet. You can spend the same two days sending 400 emails and show a client 400 emails. One of those activities produces links.
I want to be blunt about the trade. Prospecting is where the returns are concentrated, and it is also where almost every campaign I have reviewed was already broken before the first email went out. The lists were built from a keyword rather than from a reason to be cited. They contained sites that had never linked to anyone. They contained sites that link to everyone. They were addressed to info@. No pitch rescues that.
The shape of the workflow
The five lessons in this module run in order, and the order matters, because each stage assumes the previous one produced something specific.
- Define the target set. Who would plausibly cite you, and what would they be citing? This is a written definition, not a search.
- Find who already links to sites like yours. Competitor link gap analysis converts your competitors' history into your candidate list.
- Search for the rest. Search operators find the prospects nobody has linked to yet, which is where the least contested opportunities live.
- Find the human. A domain is not a prospect. A person with a name and a verified address is a prospect.
- Qualify ruthlessly. Most of what you gathered is not worth an email. Removing it is the highest-value hour in the campaign.
Each stage widens or narrows deliberately. Stages two and three widen; stages four and five narrow hard. A campaign that only ever widens ends up with a list of ten thousand domains, no contacts, and a spam complaint.
Why lists decay, and what that means for how you build them
A prospect list is a perishable good. Sites redesign, editors move on, resource pages get retired, publications fold. I have hard evidence for the equivalent decay on the other side of the transaction: in an analysis of my own site's profile — 1,301,839 links from 22,260 referring domains, none of them ever bought — the median referring domain stopped linking after 1,080 days, roughly three years. Of the links that were lost, 97.4% disappeared while the source page was still perfectly reachable. Somebody edited the page and the link went with the edit.
If live links rot at that rate, the contact details and editorial intentions behind them rot faster. Practically, this means three things. Date-stamp every list you build. Do not inherit a prospect list older than a few months without re-verifying it. And treat prospecting as a recurring activity rather than a one-off project you complete and file.
The lessons
- 4.1Defining your target setDefine who would plausibly cite you before you search for anyone.
- 4.2Competitor link gap analysisFind the domains linking to several competitors but not to you.
- 4.3Search operators for prospectingReal operator patterns for resource pages, roundups and directories.
- 4.4Finding the right contactFind a named human, not a generic inbox, and verify the address.
- 4.5Qualifying and scoring prospectsCut 60-80% of a raw list before anyone writes an email.
Module checklist
Work through this before you send a single email. Everything here happens upstream of outreach, and every hour spent here saves several downstream.
- Write a one-paragraph definition of who would plausibly cite you, and why.
- List the page or asset each prospect would be linking to. If you cannot name it, you are not ready to prospect.
- Pick three to five genuine SERP competitors, not the companies your sales team worries about.
- Run a link intersect and export the domains linking to two or more competitors but not to you.
- Build at least three operator queries per prospect type and save them somewhere you can re-run.
- Deduplicate to one row per domain before you look at anything else.
- Apply hard disqualifiers first and delete, do not flag, what fails them.
- Find a named human for every surviving prospect, and record where you found the name.
- Verify each email address rather than guessing at a pattern.
- Score what survives into A, B and C tiers, and agree in advance what happens to the C tier.
- Record the date you built the list, because a prospect list decays.