Ant Blair
Turn discoverability into retrievability in the age of AI search.
Indianapolis, Indiana, United States
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Ant Blair is the creator of the Authority Optimization framework and founder of Webspinners - the first black-owned digital marketing firm in Michigan - with two decades of practical experience across major Google algorithm updates. He applies that experience in the age of AI search to turn entity modeling, schema/JSON-LD, and citation workflows into small, measurable engineering experiments. His methods are validated in production, including a documented health-practice case that produced durable revenue and verifiable results.
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Engineering Authority: How to Make Your Product the AI Assistant’s Default Answer
AI assistants increasingly nominate a single answer. This talk gives engineers and product leaders a technical playbook to become that answer: schema and knowledge-graph modeling for people and products, citation-first verification pipelines, and authority telemetry to measure citability. Using a health-practice case as proof, the session maps those tactics into executable engineering experiments—JSON-LD patterns, KG patches, API provenance, and DevRel citation workflows—so teams can turn discoverability into retrievability and measure impact within a quarter repeatedly.
This talk is for Engineers and engineering managers, product managers, DevRel and knowledge-graph/data-engineering teams responsible for search, discovery, metadata, or API provenance—plus technical founders, SEO engineers, and ML/NLP engineers who need their product to be the canonical answer. Attendees should have basic familiarity with structured data (schema/JSON-LD) or product telemetry; the session is intermediate-to-advanced and focuses on small, measurable engineering experiments.
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