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An SEO/GEO agency workflow that cut costs 90% with Jev (X)

Describes an SEO/GEO agency workflow, auditing Search Console, PostHog/Mixpanel and AI citation data, that used to cost about $250 per client; each step now runs roughly 30x faster with Jev, cutting the total cost by 90%.

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Cost cut
90%Jev dropped the price of SEO/GEO fixes by 90%x.com
Prior cost/client
~$250used to cost us ~$250x.com
Step speedup
~30x faster30x faster reads of Search Consolex.com

Ira Bodnar describes an agency workflow that audits and fixes a client’s SEO and GEO (generative-engine optimization: tuning content so AI answer engines cite it) issues, and says moving several steps over to Jev cut the total cost by 90%, down from about $250 per client. The savings come from nine steps: reading Search Console, PostHog and Mixpanel data, checking what ChatGPT searches on Bing, modeling what users ask Gemini and Claude, scanning who gets cited by ChatGPT and Claude, analyzing the sources behind those citations, gap analysis on why competitors get cited and the client doesn’t, fixing pages across large sites, sorting which page types get cited, and generating pages meant to earn a citation. Most of those steps are described as about 30 times faster with Jev in place; page generation is put at 20 times faster.

The workflow is described as available inside the Ryze AI app and as an MCP server or Claude connector.

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