Digital PR
An unlinked mention still teaches a model who you are.
Track, earn and correct what the internet says about you - link or no link.
For years, a mention without a link was considered worthless. Language models changed that: they read text, not link graphs, and a sentence describing your product in a trusted publication is exactly the kind of material they repeat.
We track mentions, work to earn more of them in the right places, and correct the ones that are outdated or wrong.
What it covers
- Mention monitoring across publishers, forums and communities
- Correction of outdated facts and wrong descriptions
- Converting mentions into links where it makes sense
- Reporting mentions alongside AI citation data
Also in this capability
- Digital PR CampaignsA campaign with one story, one audience and a defined measure of success.
- Data-driven PROriginal research that earns coverage, links and citations at the same time.
- Link EarningLinks as a consequence of being worth linking to, with no purchased footprint.
- Authority BuildingMake your experts visible, quotable and consistently attributed.
How it works
01
Track every form of your name, not just the official one
Monitoring set up on one spelling misses most of what is written about you. The forms come from measurement - including the ones nobody in the company uses.
02
Sort mentions by what they teach a model
A sentence describing what your product does is worth more than a logo in a roundup. Language models read text, not link graphs, so a detailed unlinked paragraph can outperform a link.
03
Correct what is outdated, in order of damage
Wrong pricing, a discontinued feature, a market you no longer serve. These propagate quietly: a model repeats a two-year-old description long after your own site was updated.
04
Convert to links only where it is natural
Some mentions should become links and most should not. Chasing every one of them is how a clean profile starts looking bought.
What you get
- Monitoring covering every name form, including the ones models use
- Mention inventory sorted by what it teaches about your brand
- Correction list with outreach to the publishers holding outdated facts
- Mentions reported next to AI citation data, not separately