Open AI (entity-based search)

Part Of: Entity Based SEO - 2024 Guide
Published:
by Wayne Smith

Entity-Based search enables Open AI, Google generative search, and voice search. These systems can use the Entity (relationship model) data to find fact and documents.

Entity-based search explained

Say you ask a question, "Which Chardonnay is more sweet?"

Within the entity data for Chardonnay there are two major types of Chardonnays that effect its flavor profile.

AI can answer, "Oaked Chardonnay is generally sweeter than unoaked Chardonnay," and provide references.

Entity-based search is a disruptive technology

Searching based on keywords, "Chardonnay and Sweet" is likely to surface pages where sweet desserts are paired with Chardonnay. Clearly entity-based algorithms are better for this question to both answer the quesiton in a summary format and provide links to relevant pages. The words "which, is, more," are not relevant keywords and require natural language processing, (which is the part of AI that builds the entity database), to understand the intent.

Maybe trying rephasing the query to, "sweet, flavor, Chardonnay, -dessert," would find the answer in a only keyword based search?

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A search algorithms is based off of mathmatics and ranking factors must be quantifiable or countable ... factors that are only true or false can be used for quality indicators to determine if a site will be listed or buried.