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Methodology · Entity & Knowledge Graph

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Definition

Data sanitation is the process of auditing and correcting inconsistent, conflicting, or outdated brand information across digital sources before AI systems ingest it. This includes NAP data, business descriptions, founding dates, service categories, and any other structured attributes that appear across directories, social profiles, and third-party listings. AI systems are probabilistic — they infer what is true about an entity by looking for agreement across sources. If your business address appears differently on Google Business Profile, Yelp, and your website, the system loses confidence and either hedges or defaults to a competitor with cleaner data. Data sanitation is unglamorous work, but it is often the highest-leverage first step in an AI SEO engagement.

NAP consistency

Entity record

Entity consistency

Context sufficiency

Cross-platform consistency

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Relevant PLC Services

Entity SEO Context Map