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Jev AI just changed SEO, and the strangest part is that this model can't write a single word.
Imagine every slow SEO decision on your site getting made for you in under a second.
Which page to link to, which keywords matter, and which pages to fix first, all sorted while you make a coffee.
I ran it on my own sites with my real Search Console data, and I'll show you every result.
Stick with me to the end, because one small mistake quietly breaks the whole thing.
What you're watching: three real requests asking Jev to write, and the three real replies it sent back.
What you're watching: one page, six questions, one request. Six answers came back in 314 milliseconds, and a single question took 387.
What you're watching: Jev read 632 of my blog posts in 42.5 seconds for 2.7 cents, picked 497 links and refused to link 135 pages. Opus 5 finished 222 pages on the same clock and cost 77 cents.
It was, because I gave Opus the same 24 parallel lanes as Jev. It still finished a third of the pages at 28 times the cost.
What you're watching: 15,900 real search queries sorted by intent, best site and whether they need their own page, in 3 minutes for 42.5 cents.
What you're watching: all 639 pages of one site scored on my own four levels in 19 seconds for 1.2 cents, with 7 pages handed back to me because it wasn't sure.
Book a free one to one session with our team, and leave with a game plan either way.
What you're watching: 60 prospect sites rated for fit in under three seconds, with 23 clearing my line, followed by the same pitch checked against two different people.
What you're watching: my 40 newest posts put through five yes or no checks each in about two seconds. 24 passed on answer, links and depth, and it caught an unsourced number in all 40.
What you're watching: six SEO jobs, each routed to a cheap, mid-priced or expensive model from a plain English description of what each model is good at.
What you're watching: a 900 cell grid filled in under four seconds. Green is a strong answer, gold is half there, and the dark cells are questions nobody on my site answers yet.
It can only pick from options you wrote, so there's no waffle to get wrong. Where it's unsure it says so with a number, and those are the ones you check.
OpenRouter describes it plainly: it takes your app's state plus a typed question and returns a typed decision with a probability attached, with nothing to parse or validate.
Yes, sometimes. In my audit it marked a page with 11,648 impressions as "remove", but at 0.51 confidence, so it landed in my pile instead of going through.
What you're watching: the same vague question under two different field names scores 0.42 and 0.41, while the properly written question scores 0.98. Then a baking blog is scored clean and again with a hidden instruction added.
Tamara's pitch is that tidying an agent's history shouldn't still be a slow summary prompt, because Jev can score every tool call and drop the ones that no longer matter.
Theo's point is that if you score items one by one and bin the low scorers, you can lose the trail that explains why the system did what it did. I think he's right about the risk, and I think the direction is still correct.
// the whole skill: a decision in plain English, the options written out, and a line{ "state": "Source blog post: hermes blender mcp", "questions": { "link": { // the model never sees this name "type": "choice", "instructions": "A reader has just finished the source blog post. Which ONE page is the most genuinely useful next read to link to? Only pick a page if the topic connection is real. If nothing truly fits, pick none.", "criteria": { "p1": "Blog post: hermes mcp server", "p2": "Blog post: best hermes agent plugins", … 28 more pages … "none": "No page in this list is honestly relevant enough to deserve a link from this post" } } }}// → choice: "p1" confidence: 0.67 my line: 0.60 → link placed
You don't write this by hand. You describe the decision to Claude Code or any agent, and it builds the request and runs it for you.
Our team maps this out on your site, then hands you a custom plan to rank in Google and get picked up in AI search.
