Service
Entity Authority Optimization
Make your business consistently understood across the web — one name, one location, one set of services, everywhere a system might look.
The problem this addresses
Your business appears under three slightly different names, two phone numbers and an address you moved out of four years ago.
An entity is what a system thinks your business is. It is assembled from everything it can find: your site, your profiles, directories, citations, press, and third-party references. When those sources disagree, confidence drops — and a model that is not confident about who you are will recommend a business it is confident about.
This work establishes and propagates a single source of truth: name, location and service areas, services and specialisms, leadership and credentials, and the relationships between related brands or divisions.
It matters most for businesses that have changed something — a new division, a rebrand, a move, an acquisition — because the old facts do not disappear from the web when you stop using them.
What it includes
- Entity audit across your site, profiles, directories and third-party references
- Name, address, phone and service-area consistency
- Services, specialisms and credentials recorded consistently
- Leadership and expertise attribution
- Relationships between parent brands, divisions and locations
- Ongoing accuracy monitoring for drift
What you receive
A verified business-fact record with a confidence and source per field, a list of every inconsistency found, and the corrections made.
What this does not do
We correct what we can reach. Some platforms are slow, some require your own verification, and a few will not change a record at all. The report distinguishes fixed, submitted and unfixable.
How this is measured
Every service sits inside the same measurement loop. Work is proposed from recorded evidence, and its effect is assessed by re-running the identical benchmark rather than by asserting that it must have helped.
Usually paired with
AI Visibility Optimization →
Improve the signals that affect how AI systems find, read and understand your company — then re-measure to see whether it worked.
AI Source Gap Analysis →
Discover which third-party sources support the competitors AI recommends, and which of them have no record of your business at all.
Every engagement starts with a measurement
Tell us about your business and we will establish where you currently stand.