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Eight SEO workflows for Jev
A growth marketer's thread of eight SEO workflows Jev can run, from finding internal-link pairs to spotting cannibalizing pages and thin content.
- Format
- Post
- Reading time
- 3 min
- Published by
- Community
- Author
- Ross Simmonds
- Last verified
- Sep 2026
Works forJev for Classification
Used inJev for Sales & Marketing
Highlights
- Lists internal linking, where Jev finds page pairs with a real reason to link to each other.
- Flags cannibalization by spotting pages targeting the same search intent and suggesting which to merge.
- Continues through thin content and other content-ops checks in the same thread.
- Written from an SEO operator's perspective rather than a model or API angle.
Watch out
A use-case thread with no code or measured results; validate each workflow on your own corpus before automating it.
Questions about this entry
Short answers drawn from the linked project or page.
It reads as a list of ideas. The thread gives no code, no prompts, no accuracy numbers, and no before-and-after on a real site. The strongest-sounding item is cannibalization, where it claims to flag which pages to merge, but nothing says how reliable those merge calls would be on your own corpus.
The thread says it scores pages for originality before they go live and does not say against what reference, what threshold, or what happens to scores in the middle. An originality score is only as good as its comparison set, so you would need to validate it against pages you already know are thin.
The thread says uncertain matches get flagged for review rather than applied, which is the right shape for redirects because a wrong one is hard to walk back. Still, it never defines the confidence level that separates a confident match from an uncertain one, so that cut-off would be yours to pick and tune.
Effectively, yes. The workflow checks whether ChatGPT, Claude and Gemini recommend your brand or a competitor, and the thread offers no method for making those answers repeatable. Chatbot answers shift between runs, so a single pass is noise, and no validation of this workflow is published anywhere in the thread.
Ross Simmonds, who says he founded Foundation Inc and a content-distribution company and works with SaaS and cloud companies, closing with his Create Once, Distribute Forever tagline. So the thread is SEO operator advice from an agency founder rather than a model evaluation.
A reply from Tim Scheuer says his team already uses Jev in outbound for ICP fit qualification, reply classification, and intent-signal classification and routing. Those are the same classify-and-route shape as the SEO list, which suggests the pattern generalizes, though his message carries no numbers either.
Cannibalization. A reply says the cannibalization catch alone is worth it, and another points to a free tool, nqz.ai, that already does all eight workflows using Jev and even returns a fix prompt for a coding agent. Neither reply includes a measurement.
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