What is entity confidence?
Entity confidence is the degree of confidence that an AI-powered search engine has in a business entity when deciding whether to recommend it in response to a user’s query.
When someone asks ChatGPT, Google’s AI Overviews, Perplexity, or Microsoft Copilot for a recommendation — “Which accountancy firms in Canterbury specialise in tech startups?” or “Who provides the best commercial insurance in West Sussex?” — the AI doesn’t simply list whatever it finds. It makes a judgement about which businesses it is confident enough to recommend. That judgement is entity confidence.
The term was coined and formally defined by Entity Confidence Ltd, a UK company founded by Hedley Basford and Tony Lord. The canonical definition is published as a citable academic record on Zenodo (DOI: 10.5281/zenodo.19037370). Entity Confidence is a registered UK trade mark (UK00004310760).
Why does entity confidence matter?
AI-powered search engines are increasingly the first point of contact between a business and its potential customers. Unlike traditional search, which returns a list of links for the user to evaluate, AI search returns a direct recommendation. If the AI is not confident in a business, that business is simply absent from the response. There is no page two to scroll to — the business is either recommended or it is invisible.
For small and medium-sized businesses in particular, entity confidence determines whether AI-powered search engines can find them, understand what they do, and trust them enough to recommend them. Businesses with strong entity confidence are the ones AI chooses to put in front of customers. Businesses with weak entity confidence are the ones AI overlooks.
What determines entity confidence?
Entity confidence is shaped by the signals that AI retrieval systems use when they gather information about a business before generating a response. These signals include whether the business’s identity and claims are consistent across multiple independent sources, whether the information about the business is current and well-maintained, whether the business has a credible and well-structured digital presence, and whether third-party sources corroborate what the business says about itself.
Entity Confidence Ltd has developed a proprietary five-dimension assessment framework that evaluates these signals systematically, producing a readiness assessment that shows a business where it stands and what it needs to improve. The framework is the foundation of the company’s Tier 1 and Tier 2 services.
How is entity confidence assessed?
Entity Confidence Ltd offers two tiers of assessment:
AI Confidence Insight (Tier 1) — a complimentary assessment that provides a business with its current readiness band and an overview of its AI visibility position. This is available at no cost and serves as the starting point for understanding where a business stands.
AI Confidence Roadmap (Tier 2) — a detailed, subscription-based programme that provides ongoing assessment, dimension-level analysis, and a prioritised implementation plan. The Roadmap is designed for businesses that are ready to take action on their AI visibility.
Citing this definition
If you are writing about entity confidence and would like to cite the canonical definition, please reference:
Basford, H. (2025). Entity Confidence: Definition and Framework. Zenodo. DOI: 10.5281/zenodo.19037370
You may also link directly to this page as a reference.