A Jev internal-link run proposed 679 links across 566 pages in under six seconds for 27 cents. An editorial pass kept 287 of them. Here is the full attrition, the rubric rewrite that improved recall from 45% to 65%, and how to run the same benchmark on your own site.
Three agents, three different strengths. This is a job-by-job routing guide: when to use Grok Bot's persistent browser, when to use a code agent, and when to use neither.
Most teams analyze a sample of Search Console data because a full export is too much to sort by hand. Here is a workflow that classifies the whole export with Jev, plus the three traps that will quietly produce confident wrong answers.
Reddit is one of the most cited sources in AI answers, and one of the hardest to monitor at scale. Here is a workflow that uses Jev to decide which threads matter, which are already saturated, and which are worth engaging.
Most Grok Bot skills fail because they describe a task instead of a decision. This framework gives you a fill-in template built on three parts: thresholds, exceptions, and proof.
A working setup for a Grok Bot that checks whether ChatGPT, Perplexity, Gemini, and AI Overviews cite your brand across a fixed set of buyer questions, and logs the answer every week.
A complete walkthrough for building one Grok Bot that audits your site, reads Search Console, and reports back, without giving it permission to change anything until you have verified it.
Not on Shopify? You still own the plumbing that makes an AI agent able to find, trust, and buy from you. Here is the WooCommerce, BigCommerce, and custom-storefront workflow.
Grok Bot gives SEO and GEO teams something they have not had before: a persistent cloud computer with live login state. Here is what that genuinely changes, what it does not, and where the workflow still breaks.
Meta Muse now decides which brands a buyer sees. When the agent's owner also earns from the transaction, brand discovery stops being neutral. Here is how to tell the difference and what to govern.