Case Study

42 evidence-grounded articles drafted, 39 published by a human, zero by a machine.

CAROL Bike · AI-personalised exercise bike (REHIT) · Connected Fitness / DTC Ecommerce · June to September 2026

By Daria Dovzhikova · Updated October 2026

Connected Fitness / DTC Ecommerce·June to September 2026

CAROL Bike: A Daily Content Pipeline That Drafted 42 Evidence-Grounded Articles and Let the Team Publish 39

CAROL Bike · AI-personalised exercise bike (REHIT)
Challenge

CAROL Bike had 197 editorial articles on a template-driven WordPress site, and they were already good: six to twenty PubMed citations each, fresh, well-ranked. The audit in June 2026 showed the problem was not authority but demand capture. The main-site articles pulled 2.36 million impressions in 90 days and turned them into 8,213 clicks, with the biggest pages sitting at positions 5 to 8 and CTR of 0.1 to 0.6 percent. The queries with real volume ("exercise bike vs treadmill", "how long to see results from a stationary bike", "is a stationary bike good cardio") were generic, not REHIT-branded, and the site had one writer's worth of capacity for a keyword list that needed one article a day. Writing at that pace by hand meant either thin content or another headcount. The constraint from the start: nothing goes live without a human reading it.

Approach

A scheduled agent pipeline, running daily from 8 June 2026. Each run pulls the striking-distance keyword set from Search Console (queries where CAROL already ranked 11 to 25), checks the candidate against every existing article through the site's public posts endpoint so it complements rather than cannibalises an existing page, then drafts a 1,100 to 1,300-word article in CAROL's tone of voice with each claim grounded in a cited study (a PubMed connector; web research against publisher metadata as the fallback). The draft is pushed to WordPress as a draft post with category, featured image, display title, Yoast meta description and focus keyphrase already set, through a small authenticated shim installed as a code snippet on the multisite. A Notion queue records every run with the keyword, volume, prior rank and a dedupe note, and doubles as the fallback store: when the Shopify migration removed the WordPress REST API on 25 August, the pipeline detected the 404 and filed the finished drafts to Notion instead of failing silently. The CAROL team reviews and publishes; the pipeline never does. Peak cadence was one article per day for 16 consecutive days in July.

42 evidence-grounded articles drafted, 39 published by a human, zero by a machine

Articles drafted
42
8 June to 2 September 2026
Published by the team
39
93% acceptance, all human-reviewed
Peak cadence
1 / day
16 consecutive days in July
Sources per article
7 to 8
peer-reviewed, cited inline

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