Entity resolution
Matching different names, domains, and references to the same real-world entity.
What is Entity resolution?
Entity resolution prevents aliases, abbreviations, and product names from fragmenting measurement. It is essential when detecting brand mentions and when helping machines understand that several references describe the same company.
In practiceWhat does this look like in a real AI answer?
IBM, International Business Machines, and ibm.com are resolved to one entity.
Why it matters for AI visibility
AI answers can shape awareness and buying decisions before a person visits a website. Understanding entity resolution helps teams connect what a model says with the prompts, sources, and technical signals that influenced the result. The useful next step is to observe the evidence, compare it over time, and act on the specific gap.
How to measure or use it
- Define the scope. Choose the relevant market, prompts, models, locations, and time window.
- Keep the evidence. Save the complete answer, its citations, and the page or claim being evaluated.
- Compare patterns. Look for repeated movement across prompts and models instead of reacting to one response.
- Take a specific action. Improve the owned page, correct a claim, earn third-party inclusion, or create better evidence.