- Brand mentions and referring sources
- Citation and placement status
- Entity and knowledge-graph observations
Track the Trust Signals That Influence Search and AI Discovery
For years, domain authority meant one thing: how many links pointed at you. That still matters, but AI engines are reading a wider stack - your knowledge graph presence, your brand mention volume, the pattern of who cites you and on what topics. Authority Monitoring tracks every signal in one place.
Make mentions, citations and entity signals visible
Authority is presented as an evidence record rather than an unexplained score. Clients can distinguish verified placements from estimates and see how each signal supports discoverability.
- Collect public authority evidence
- Verify sources and placement status
- Publish observations with confidence labels
Measurement note: Platform values reflect the stated reporting period, source availability and verification status. Search engines, analytics tools and AI systems can refresh, personalize or revise their outputs, so observed values may differ from a later independent check. Estimated and analyst-modeled values are labelled and should be used as decision support rather than as guaranteed rankings, citations, traffic or revenue.
Actually Reading
Not how many links. How good they are.
Raw link counts stopped being a useful number a long time ago. The backlink pillar tracks the DR of every linking domain, the topical relevance of the pages pointing at you, and the rate at which high-value links are being gained or lost. If a DR 90+ link drops on a Saturday, you'll know before the traffic numbers shift.
Unlinked mentions count just as much now.
A journalist names you without a hyperlink, a podcast host references your research, a Reddit thread quotes your take - AI engines read all of it. The mention tracker weights editorial sources higher than community ones and logs every hit by tier, so you're not burying the important signal in noise.
Does Google know who you are without being told?
When the Knowledge Graph has a clear, stable entry for your brand, AI systems drawing from Google's index can reference you without relying on a keyword match. It's entity-level trust - fundamentally different from page-level ranking signals. This pillar tracks whether your entity attributes are complete and whether the gaps are costing you authority.
Where you're cited - and on what topics.
How many times you're cited matters less than what topic you're associated with when it happens. If AI engines consistently cite you on a legacy topic but ignore your main product category, that gap won't show in any standard backlink audit - but it will show here, by engine, with the topics attached.
Your Score This Week
Actually Did To The Score
Signal By Signal
Note: Competitor A leads on Knowledge Graph - they've been actively building entity coverage. That's the one gap worth closing before Q3.
Specifically
On A Live Call
Practical guidance
What Authority Monitoring Can and Cannot Show
Authority monitoring can reveal changes in mentions, links, citations, and entity consistency. It cannot reduce trust to one universal metric or prove how every search or AI system evaluates a source.
What should teams review?
Review source coverage, data freshness, collection method, anomalies, and the business decision each metric is expected to support.
What is the recommended next step?
Start with a defined visibility question and connect only the data required to answer it. Add monitoring after the baseline and ownership are clear.
