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Every essay mourning AI's death of human consultation is describing the product the labs refuse to build. Trust, not truth, is the scarce asset: provenance and positive human-attribution become priced layers once the Granta prize scandal supplies the consumer-grade catalyst. Detection stays a losing arms race; attestation that a human was load-bearing is the durable, unbuilt trade the AI companies keep leaving on the table.
A journalist published one page on his personal site claiming hot-dog-eating prowess; 20 minutes later ChatGPT, Gemini, and Google AI Overviews were repeating it as fact. Google's response to a $0 attack floor against a 2.5 billion monthly-view surface was a spam-policy clarification — which is another way of saying verification infrastructure was never part of the original build. The mechanism here is identical to what's arriving in the litigation market: AI lowered the cost of generating content that systems trust, without building any corresponding layer to evaluate whether that trust is warranted. Verified-publisher authority is repricing upward not because editorial quality improved, but because AI-citability is now a distinct and defensible position from SEO. Adversarial-input regression testing follows the same logic as DeepMind's verifier corpus: the evaluation layer is where the economics are accumulating.
A BBC journalist published one page on his personal site claiming hot-dog-eating prowess; 20 minutes later ChatGPT, Gemini, and Google AI Overviews were repeating it. Google's response to a $0 attack floor against a 2.5 billion monthly-view surface: a spam-policy clarification. Two things worth pricing: verified-publisher trust premium inverts upward as AI-citability becomes a defensible moat distinct from SEO, and adversarial-input regression suites become procurement-grade table-stakes for any enterprise running RAG against external corpora.
A gold rush of GEO firms promising AI chatbot citations is running headlong into SparkToro data showing AI search volume is 10 to 100x below the hype: traditional search, Amazon, and YouTube each outpace ChatGPT on desktop. The real signal is structural: every manipulation tactic (self-dealing listicles, hidden prompt injection, keyword-stuffed landing pages) creates a dependency on retrieval being broken. Retrieval improvement is the core competency of Google, OpenAI, and Anthropic; GEO investment is effectively a short position on their ability to fix it.
