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Digital PR Team Uses Extension to Identify High-Authority Sources for Client Campaigns

Digital PR Agency · 35 clients · 14-person team  ·  Ongoing

4.8×
improvement in link target authority-to-acquisition ratio
60%
Reduction in Low-Authority Outreach
28
AI-Cited Publications Identified
34%
Average Client Citation Rate Improvement
⚠️ The Challenge

PR outreach budget was being spent on publications with good Domain Authority scores but low AI citation authority — publications Google ranked well but that AI engines rarely cited. Link acquisition was generating traditional SEO value but minimal GEO value. Clients were not seeing improvements in AI citation rates despite active link building campaigns.

💡 The Solution

The Chrome extension became the publication evaluation tool. Before any outreach, the extension is run on the target publication's relevant pages. Publications with high GEO scores, strong E-E-A-T signals, and active schema use are prioritised. Publications with low GEO scores are deprioritised regardless of DA score.

📈 The Result

Authority-to-acquisition ratio improved 4.8×. Outreach to low-GEO publications reduced 60%. 28 high-AI-authority publications identified and added to priority target lists. Client AI citation rates improved 34% average within 3 months of AI-authority links being secured.

How They Did It

Step-by-step breakdown of the exact approach taken.

🔍
Publication GEO Score as Outreach Filter

Before any outreach: extension run on publication's most relevant content pages. GEO score below 55: removed from outreach lists regardless of DA. GEO score above 75 with strong E-E-A-T: escalated to priority. This filter alone eliminated 60% of previously targeted low-value publications from the pipeline.

🏆
AI-Cited Publication Discovery

AI Citation Hub used to identify which publications were being cited in AI answers for clients' target queries. Running 20 prompts per client revealed a consistent set of 28 publications that AI engines trusted across categories. These became primary outreach targets for all clients.

📊
E-E-A-T Signal Matching — Source to Client

Extension E-E-A-T panel shows which authority signals a publication uses. When placing client content on a publication, the team now ensures client author credentials match the publication's E-E-A-T level. Mismatched authority signals reduce the citation value of the placement significantly.

🔗
Anchor Text Intelligence for AI-Optimised Placements

Anchor Text Intelligence ensures backlinks from high-authority publications use anchor text patterns that match AI query formats, not just keyword-dense anchors. AI-optimised anchor text improves citation probability from link placements — traditional SEO anchor text patterns do not achieve this.

📈
AI Citation Rate as Primary Client KPI

Client monthly reports now include AI citation rate as a primary KPI alongside traditional metrics. Links secured from AI-authority publications show measurable citation rate improvements within 60–90 days. This gives PR work a new, defensible ROI metric that resonates with C-suite clients.

The Full Results

Previously: 70% of outreach targets had GEO scores below 55. After filter: 85% of targets have GEO scores above 65. Link volume fell slightly but AI citation value per link increased 4.8×. 28 high-authority publications now on permanent target lists. Average client AI citation rate improvement: 34% within 3 months of first AI-authority link secured.

“We were building links to the right places for Google but the wrong places for AI. The extension lets us see the GEO authority of any publication in 10 seconds. We restructured our entire outreach strategy around those scores.”

— Head of Digital PR, PR Agency

Replicate These Results

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