jev just dropped the cost of ai seo / geo work by ~ 90%

@wandeforer Alex Builds · Sep 21, 2026 · case #619980 · listed via Jev Hub

Still from the clip posted with this case; watch it in the original post on X.

Replaced hours of manual prompting and spreadsheets with Jev classification calls to check whether ChatGPT cites a brand, cutting AI SEO work cost by about 90%.

The original post

jev just dropped the cost of ai seo / geo work by ~ 90% checking whether chatgpt cites you used to mean hours of manual prompting and spreadsheets. now most of it is a classification call here's what got faster: 1/ [30]x faster sorting of which prompts mention your brand vs.

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under classification & data extraction. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the classification & data extraction page.

🗂️ Classification & data extraction