🤖 AI Summary
AI marketers should stop thinking of “AI visibility” as a single index: AIVO Journal argues that ChatGPT (4o/o1), Gemini 1.5 Pro, and Claude 3.5 (Sonnet/Opus) are three distinct discovery ecosystems with different ingestion pipelines, retrieval weightings, and refresh cadences. ChatGPT privileges recency, timestamped provenance and human-moderated/licensed sources; Gemini prioritizes entity-linked, schema-compliant data via Google’s Knowledge Graph and Vertex pipelines; Claude emphasizes semantic reliability, safety-audited and expert-curated material while penalizing over‑optimized or speculative content. Because each assistant defines “credible visibility” differently, a brand can rank well in one and be invisible or demoted in another.
For the AI/ML community this matters technically and operationally: divergence is reinforced by data-sovereignty and governance asymmetries, making a universal index unlikely. Practical implications include optimizing content for different signals (temporal provenance + engagement for ChatGPT, strict schema/entity mapping for Gemini, authority/alignment for Claude), and tracking differing update cadences (ChatGPT ~4–8 weeks, Gemini continuous, Claude irregular). AIVO proposes governance-first measurement (AIVO Standard, PSOS) and an action framework—audit, benchmark, govern, report—so visibility is reproducible, auditable and predictable across retrains. For model builders, publishers and marketers alike, the takeaway is to treat each LLM as its own media channel, instrumented for audit-grade discoverability rather than one-size-fits-all “AI SEO.”
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