Playbook Workflow Automation
Automating Link Prospecting
How to automate the process of finding and qualifying potential link exchange partners
For SEO Manager
Related feature: Link Exchange Management
Why Automate Prospecting
Manual prospecting is the most time-consuming part of link building. Automating the discovery and initial qualification of prospects lets your team focus on high-value activities like outreach and relationship building.
What You Can Automate
Discovery Automation
- Slack monitoring — use Linkorite to automatically capture and classify link exchange proposals from Slack communities
- Competitor backlink alerts — set up alerts in Ahrefs or Semrush for new links to competitors
- Brand mention tracking — monitor for unlinked mentions of your brand that represent link opportunities
- Content alerts — set up Google Alerts for new content published on topics relevant to your link building
Qualification Automation
- Domain metric pulls — automatically fetch DR, traffic, and spam scores for new prospects
- Relevance scoring — use AI classification (via Linkorite’s agent) to assess topical relevance
- Duplicate checking — automatically flag prospects you have already contacted
- Blocklist filtering — automatically remove domains on your exclusion list
Setting Up Your Automated Pipeline
Step 1: Configure Data Sources
- Connect Linkorite to your Slack workspaces for proposal capture
- Set up competitor monitoring alerts
- Configure brand mention tracking
Step 2: Define Qualification Criteria
- Set minimum DR, traffic, and relevance thresholds
- Create a blocklist of domains to exclude
- Define scoring weights for automatic ranking
Step 3: Route Qualified Prospects
- Automatically add qualified prospects to your outreach queue
- Tag prospects by priority and outreach type
- Assign to team members based on niche or capacity
Time Savings
| Activity | Manual Time | Automated Time | Savings |
|---|---|---|---|
| Finding prospects | 5 hrs/week | 30 min/week | 90% |
| Initial qualification | 3 hrs/week | 15 min/week | 92% |
| Data entry | 2 hrs/week | 0 | 100% |