Link Building Strategies
Earn quality backlinks with white-hat, sustainable tactics.
Link building is the practice of earning backlinks. The safest, most durable approach is to create things worth linking to.
White-hat tactics
- Linkable assets - original research, tools, guides and data.
- Guest posting - contribute genuine articles to relevant sites.
- Digital PR - newsworthy stories that journalists cite.
- Broken link building - suggest your page to replace a dead link.
- Unlinked mentions - ask sites that mention you to add a link.
Avoid
Buying links, link farms, and mass low-quality directories. These violate Google's guidelines and can trigger penalties.
Example
# A simple outreach framework
1. Find relevant sites (competitor backlink gaps)
2. Offer real value (better resource, fixed dead link)
3. Personalize the email - no spam templates
4. Follow up once, politelyWhen to use it
- A SaaS company creates an original industry salary survey that earns 80+ backlinks from HR blogs and news sites without any outreach because the data is genuinely useful.
- A developer tools company offers a free open-source library and documents it thoroughly, earning links from GitHub, developer forums, and tutorial sites organically.
- An agency uses broken-link building to find 404 pages on high-authority resource pages and pitches the site owner with a replacement link to their relevant content.
More examples
Broken link building outreach template
Scanning a resource page for 404 links identifies outreach opportunities where your content can serve as a quality replacement for the broken reference.
# Step 1: Find broken links on target resource pages
python3 - << 'EOF'
import requests
from bs4 import BeautifulSoup
target_page = "https://industry-blog.com/resources/seo-tools/"
soup = BeautifulSoup(requests.get(target_page, timeout=8).text, 'html.parser')
for a in soup.find_all('a', href=True):
href = a['href']
if href.startswith('http'):
try:
r = requests.head(href, timeout=5, allow_redirects=True)
if r.status_code == 404:
print(f"BROKEN 404: {href}")
except:
pass
EOFLinkable asset: structured data report
Original research with citable statistics and downloadable data attracts editorial links from journalists and bloggers without paid placement.
<!-- Linkable asset: original research page -->
<article>
<h1>2024 SaaS Pricing Survey: 500 Companies Analysed</h1>
<p>We surveyed 500 SaaS companies and analysed 1 200 pricing pages
to benchmark monthly recurring revenue and churn by tier.</p>
<!-- Embed key stat for easy citing and linking -->
<blockquote class="stat-callout">
<strong>68%</strong> of SaaS companies that publish pricing pages
rank on page 1 for their primary commercial keyword.
</blockquote>
<!-- Downloadable CSV for journalists and bloggers -->
<a href="/research/saas-pricing-2024.csv" download>Download Raw Data (CSV)</a>
</article>Track link building campaign progress
A simple outreach tracker measuring conversion rate and average DR of earned links helps prioritise high-impact prospects and justify link-building spend.
python3 - << 'EOF'
import csv, datetime
# Simple outreach tracker stored as CSV
prospects = [
{"domain": "industry-blog.com", "DR": 58, "status": "pitched", "date": "2024-05-01"},
{"domain": "techresource.io", "DR": 72, "status": "linked", "date": "2024-05-10"},
{"domain": "seo-weekly.net", "DR": 45, "status": "no-reply", "date": "2024-04-28"},
]
linked = [p for p in prospects if p["status"] == "linked"]
print(f"Total prospects: {len(prospects)}")
print(f"Links earned: {len(linked)}")
print(f"Conversion rate: {len(linked)/len(prospects):.0%}")
for p in linked:
print(f" DR={p['DR']} {p['domain']}")
EOF
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