Signal Consistency
Whether the evidence around a brand tells the same story everywhere.
Aingworth Concept
Full explanation
Signal consistency is the degree to which the information and evidence around a brand describe the same identity, expertise, and positioning across different sources and platforms. It is what makes a Composite Picture coherent instead of contradictory.
Signal consistency is assessed across the same dimensions as Entity Consistency, name, description, category, claims, but at a broader level: it covers not just factual details but the overall positioning a brand is known for. A brand can be entity-consistent (same name and address everywhere) while still being signal-inconsistent (described as a generalist on one site and a specialist on another).
Low signal consistency is rarely caused by dishonesty. It usually comes from years of decentralized content: different agencies, different eras of messaging, and partner sites that were never updated when the brand repositioned.
Why this matters
Inconsistency does not average out. It gives a system permission to choose, and it will not always choose the version a brand would have picked.
Example
A consultancy's own site describes it as boutique and senior-led. A five-year-old directory listing still describes it as a large generalist firm. A system asked to characterize the consultancy has two conflicting signals to reconcile, and may default to the more widely repeated one.
Where this sits
Signal Consistency belongs to Retrieval, Evidence & Consensus, one of the seven layers of the Aingworth Glossary. Information exists, then it is retrieved, then sources are selected, then they corroborate one another, then consensus emerges. This is where Aingworth's Consensus Over Rankings thesis lives.
Continue with: Every Brand Has an AI Biography.
Related terms
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