Proof Stack
Link Prospecting: Stop Wasting Time on Dead Leads
Link prospecting is the boring, unsexy step that makes or breaks your link building. Get it right, and your outreach efficiency jumps 3-5×. Get it wrong, and you're sending emails to dead blogs and PBNs that never reply.
I've been doing this for years. The difference between a campaign that works and one that flops is almost always how well you prospect upfront. This page explains my process, the tools I actually use, and the filters that separate gold from garbage.
- Time required
- 2-5 hours per 100 qualified prospects
- Success rate boost
- 3-5× higher vs. unfiltered lists
- Critical tools
- Backlink checker, email finder, CRM
- Biggest mistake
- Prioritizing DA over editorial fit
Key takeaways
- Prospecting cuts outreach waste by 60-80% when done rigorously — but only if you apply the right filters in the right order.
- Ahrefs for discovery, Majestic for quality filtering, Hunter.io for contact verification. Keep your stack small.
- Top three filters: topical relevance, recent activity, verified contact. DA/DR is a vanity metric — never your primary filter.
- Manual review is mandatory. No tool automates judgment. Skip it, and you're spamming.
- Start with 50-100 highly filtered targets. Scaling prematurely kills your sender reputation.
Side by side
Link prospecting tools
| Tool | Best for | Strengths | Limits / risk | Starting price |
|---|---|---|---|---|
| Ahrefs | Competitor research | Link Intersect, Content Explorer, large backlink index | Not an outreach CRM; expensive for small teams | ~$129/mo |
| Semrush | All-in-one SEO teams | Backlink research, outreach workflow, toxic link audit | Less specialized than best-in-class dedicated tools | ~$139/mo |
| BuzzStream | Relationship-based outreach | Contact tracking, outreach organization | Not the deepest research dataset | ~$24/mo |
| Pitchbox | Large-scale campaigns | Automation, CRM integrations, workflow control | Premium pricing; overkill for small sites | Custom / premium |
| Majestic | Link quality analysis | Trust Flow, Citation Flow | Weaker as a full outreach solution | ~$50/mo |
| Respona | Automated prospect finding + personalization | Campaign templates, personalization support | Can still produce generic outreach if inputs are weak | ~$99/mo |
| Linkody | Monitoring gained/lost backlinks | 24/7 alerts, low entry cost | Not a primary prospecting platform | ~$15/mo |
| Hunter.io | Email finding / verification | Useful for turning prospects into outreach-ready contacts | Does not solve prospect quality | Free tier; paid plans vary |
Analysis
How I Prospect: Three Methods That Actually Work
I start with a clear idea of what I'm building a link for: a page, a resource, a data piece, or maybe a competitor gap I want to close. Then I run three parallel discovery methods:
- Competitor backlinks: I pull all linking domains from my main competitors using Ahrefs' Link Intersect (or Semrush's backlink gap tool).
- Content mentions: I search for sites that have recently mentioned topics related to my piece but haven't linked to it yet.
- Broken links: I find resource pages in my niche that have dead outbound links, then pitch my content as a replacement.
From there, I filter manually. The tool gives me a list; I decide which ones are actually worth reaching out to. This usually works when you spend time on the manual review — it's boring but it's the difference between a 5% reply rate and a 20% one.
Analysis
The Four Filters That Save You Hours
I apply these four filters in sequence. If a prospect fails the first filter, I don't bother checking the next one — it saves hours.
- Topical relevance: Does the site cover my niche? A quick scan of their recent posts tells me within 30 seconds.
- Recent activity: Have they published something in the last 90 days? Dead blogs rarely become backlink sources.
- Link velocity: Natural link growth pattern. Avoid sites with sudden spikes — those are usually PBNs or link networks.
- Contactability: Can I find a verified email? I use Hunter.io for verification. If I can't find one, the prospect goes to the bottom of the list.
This usually works when you enforce the order strictly. It's tempting to skip 'recent activity' for a high-DR site — don't. Relevance and activity beat authority almost every time.
Analysis
Tools I Actually Use (No Bloat)
I keep a small stack. You don't need 15 tools, but you need the right ones for each stage. Here's what I rely on:
- Ahrefs: My go-to for competitor discovery and content-led prospecting. Link Intersect is still the best feature for finding sites that link to multiple competitors but not to you.
- Majestic: I use Trust Flow to filter out manipulative link profiles. Excellent as a quality check — not great for discovery alone.
- Hunter.io: For email finding and verification. I never send outreach without verifying the email first — bounced emails hurt sender reputation.
- BuzzStream: Good for managing contacts and tracking follow-ups when you're running larger campaigns. Not a research tool, but essential for staying organized.
This usually works when you use each tool for its strength. Don't try to force Majestic into becoming an outreach CRM or Ahrefs into being an email finder.
Analysis
How Many Prospects Should You Start With?
I recommend starting with 50-100 highly filtered targets per campaign. Scaling prematurely — sending 500+ emails from an unfiltered list — lowers response rates and can get your domain flagged.
When I'm testing a new niche or page, I prospect 100 leads, filter down to 50 that pass all four filters, then reach out to the first 25 with a personalized pitch. The results from that batch tell me whether I need to refine the asset or adjust the targeting before I scale further.
Analysis
Can You Automate Prospecting? (Spoiler: No)
No tool fully automates prospecting. Tools help discovery — they find sites that might be relevant. But the manual review of relevance and quality is mandatory if you want to avoid spam flags and wasted outreach.
Automated scraping of mass-produced prospect lists is the fastest way to ruin your outreach. Those lists are usually outdated, irrelevant, or full of sites that don't accept external links. I've seen campaigns die because someone bought a list of 10,000 'high DA' prospects — and then sent them all the same email. It's not prospecting; it's spam.
Analysis
Measuring Prospecting Effectiveness
Link building reporting should include a line on prospecting — specifically, how many prospects you contacted vs. how many converted. I track this per campaign:
- Number of prospects identified
- Number that passed filters (eligible for outreach)
- Number contacted
- Number that responded positively
- Number that resulted in a link
This usually works when you compare these numbers across campaigns. If you're seeing high identification but low conversion, your filters might be too loose — or your pitch might be off. If you have high conversion but low numbers, you're probably spending too much time per prospect and missing scale.
Answers
Frequently asked questions
How many prospects should I start with?
Begin with 50-100 highly filtered targets per campaign. Scaling prematurely lowers response rates.
Can I automate prospecting completely?
No. Tools help discovery, but manual review of relevance and quality is mandatory to avoid spam flags and wasted outreach.
What is the biggest prospecting mistake?
Prioritizing domain authority over editorial fit. High-DA irrelevant sites rarely convert — and often don't even read your pitch.
How do I build a link list from scratch?
Define your target page or asset, pull competitor backlinks from Ahrefs or Semrush, filter by relevance and activity, then verify contact information before outreach.
What is the best free prospecting method?
Manual competitor backlink analysis using Google search (site:competitor.com) combined with manual email finding. It's slow but works when budget is tight.
How do I know if a prospect site is active?
Check their blog or news section for posts published within the last 90 days. If the most recent post is from two years ago, move on.
Continue research