Results
Four months. What competitors
took two years to do.
One client, one concentrated program of earned media. Here is exactly what moved, and why it kept moving after the campaign ended.
DR 14 → 35
Domain rating, in four months
121 → 422
Referring domains
0% → 35%
LLM brand visibility across tracked prompts
7–23 mo.
What comparable competitors needed
The curve
Referring domains and AI visibility, month by month.
121
Month 0
178
Month 1
263
Month 2
344
Month 3
422
Month 4
The story
The client came to us with a real product, real expertise, and almost no external proof of either. Their content was fine. Their competitors were not better writers — they were better cited.
So we stopped treating links as a monthly quota and designed a single springboard: a small number of data-led stories built from what the client already knew, pitched to publications that actually cover the space. Each placement was chosen because it would be picked up again elsewhere.
Four months in, referring domains went from 121 to 422 and domain rating from 14 to 35. More interesting: the brand went from appearing in none of our tracked AI prompts to being named in 35% of them.
That second number is the point. The models started recommending the brand because the credible web started describing it. Nothing about that decays when a model updates — it compounds. Coverage keeps getting re-cited, and each new story lands easier than the last.
What's next
We'd tell you honestly whether
this is repeatable for you.
Every brand starts from a different place. Send us yours and we'll give you a straight read within one business day.
Start a conversation