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Ira Bodnar’s post lays out seven separate SEO and GEO (generative engine optimization, or optimizing to be cited by AI answer engines) workflows built on Jev, part of the Ryze AI app.
The seven: scoring competitor pages on answer quality, depth, proof, and freshness against their Google and ChatGPT rank, to flag which are worth copying; reading a page’s title, meta, H1, FAQ, and schema markup and returning a keep-or-change verdict with a confidence score for each; matching real buyer questions to a site’s best-fitting page to surface gaps and see which competitor AI cites instead; rating each URL’s likelihood of being cited with one suggested first fix; classifying whether a search term is from a buyer, run across a full Search Console export, to filter which terms are worth writing for; building an internal link map by checking each page’s 15 closest candidates and linking only the ones with an honest reason; and verifying AI-written drafts through 20 yes/no checks before a human ever sees them.
The tools are available inside the Ryze AI app and through an MCP server or Claude connector.
