The goal: a cluster of blog articles for the Carepatron blog, built to win Google AI Overviews and AI search citations and to grow Managed Billing. Every article ends with a call to action to the managed billing feature page.
These nine drafts are written, fact-checked, and reviewed. They have not been published to Strapi yet. This site is for review.
The play
A therapist-credentialing content site, getpaneled.com, shows the model works: an AI-optimized resource library that gets lifted straight into AI answers. It is thin on authority, quiet on price, and stops at "you are credentialed." We copy the structure and beat it on the three things competitors will not do:
- Name the price. We publish our collections fee, 3.9%, against the industry's typical 4 to 10% (most practices pay 5 to 7%). A flat per-provider monthly fee applies on top, so we always show the full model, never "3.9% is the total."
- Prove you keep your credentials. Full-service billing under your own NPI, credentialing included, no platform lock-in. A sharper anti-Headway story than "we get you paneled."
- Show the real billing process. The claim lifecycle, denial reasons, accounts receivable, real benchmarks. Educators cannot write this credibly because they do not run billing.
The nine articles
The pillar (01) defines the territory and links to every other article. Each supporting article owns one tightly scoped query and links back, so the set builds topical authority as a cluster.
Two decisions for you
- Publish the base fee? The articles do not print the exact base fee, because it is not on the public feature page. They say "a flat per-provider monthly fee plus 3.9% of collections." If you clear publishing the figure, the cost math in articles 02 and 05 can be sharpened into a full all-in comparison.
- Author and reviewer. The byline defaults to "Carepatron Editorial Team" and the reviewer is left as a note. Medical billing is a trust-sensitive (YMYL) topic, so a real named author and, ideally, a credentialed reviewer should be assigned at publish. No credential was invented.
For engineering
- Add JSON-LD structured data to blog pages. This is the single biggest AI-search fix; pages currently render none. Each article ships drop-in BlogPosting and FAQPage markup (see the collapsible block at the foot of each article).
- Redirect the two existing generic revenue-cycle posts into the new pillar (01) and the "what is RCM" article (09), so there is one canonical page per topic.
- Publish all nine together so the internal links between them do not 404.
- Regenerate the Strapi read token. It is expired; the read work this session used the write token with read-only calls.
How this was built
Discovery research across five streams, a written strategy, then an adversarial verification pass by four independent reviewers (which caught a real pricing error before any article was written), then a write, QA, and revise pass for each article. Every statistic traces to a named primary source, every article carries the feature-page call to action and a vendor disclosure, and the copy is checked against the house style (no em dashes, no AI-writing tells, neutral competitor framing).
The full strategy
Read the full content strategy for the per-article briefs, the writing rules, the internal-link graph, and the cited-fact list with sources.