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A 16-year-old in Austin made $49,200 in six months while every law firm in his city was busy counting Google reviews that nobody under 30 reads anymore. He walked into a law firm and asked the paralegal to search for the practice on Perplexity. The paralegal laughed and pointed at 400 five-star reviews on Google. He said, "Just do it." Perplexity had never heard of them. Here is what the kid understood that the paralegal did not. Google reviews are a ranking signal inside Google's algorithm. Perplexity runs its own crawler. It does not care how many stars you have on a platform it is not reading. It pulls from legal directories, bar association profiles, Yelp, structured schema data, and third-party citations. A firm can sit at the top of the Google Local Pack with 847 reviews and have zero citation presence inside the AI systems that 500 million users query every month. As of February 2026, the overlap between pages ranking in Google's top 10 and pages cited inside AI-generated answers had collapsed from 76 percent to under 20 percent. Two entirely different systems. Almost nobody in legal had noticed. The paralegal thought the reviews were the proof. The kid saw they were the blind spot. So he built a $1,200 audit. The deliverable is a single document. He opens Perplexity, ChatGPT, and Claude. He types the firm's practice area and city. He screenshots what comes back. Then he runs the same search on every competitor in the market. He maps which firms are being named, where the citations are coming from, and what data signals are missing from the ones that do not appear. The finding is almost always identical: No Foursquare listing No attorney schema or LegalService markup beyond the default WordPress install Bar association profile unlinked from the main site Attorney bios with no verifiable credentials structured for machine reading NAP inconsistent across the seven directories that Perplexity actually indexes A firm charging $450 an hour that ChatGPT cannot confidently recommend because it cannot verify the address matches across three platforms. Less than 5 percent of local businesses have done this work as of 2026. In legal, the number is closer to zero. He charges $1,200 to show them exactly where they do not exist. Then he quotes them the fix. He walked out of the first firm with a check. That firm referred him to two others before the week was over. Those two referred three more. He has never made a cold call. He has never run an ad. He does not have a website. 41 firms in six months. $49,200 in revenue. He is 16. From what I have observed, the arbitrage here is not technical. It is perceptual. Law firms spent a decade optimizing for a system that is no longer the first place their clients look. The 16-year-old simply walked in and showed them the new one.