A Trusted Doula.
A Site AI Couldn’t Read.
Jenn Miller has supported Orange County births for sixteen years. Her old website hid that behind a generic layout. Digilu rebuilt it so the trust leads, and AI can finally read it.
Six Pillars of AI Trust. Measured, Not Estimated.
AIOInsights scores a site on six pillars of AI trust visibility. OC Doulas's old site failed on the pillars that matter most for a local birth doula services business. After the rebuild, the score reads 9.1 of 10. Both numbers were measured live on the same engine (AIOInsights v2.3.1) on the same day, the old site against the new one.
6.7
Before · old site
9.1 / 10
After · the rebuild
A Trusted Doula a Generic Site Was Holding Back
Jenn Miller has supported birth doula clients across South Orange County for sixteen years. Families in San Clemente, Dana Point, and the surrounding cities trust her with one of the most personal days of their lives. The reputation is real: a Certified Birth Doula and Certified Lactation Educator Specialist, trauma-care and CPR/AED certified, a mother of five, with sixteen years of births behind her and the client testimonials to show for it.
Jenn found Digilu through an AIOInsights check. The check measured one thing: how visible her trust signals were to the AI systems that increasingly decide which doula gets recommended. The verdict was clear. Her site scored a 6.7 out of 10, with the pillar that matters most for a personal service, Trust, sitting at a 2.
The credentials existed. The testimonials existed. But they lived on a generic layout that carried no structured data. To a language model reading ocdoulas.com, the single most persuasive thing about Jenn, sixteen years of trusted births, was effectively invisible.
The gaps the check found
- Trust (2.0): her credentials and testimonials existed, but they were not structured data AI could read, and there is no public review platform to point to.
- Local Presence (4.0): no Google Maps link and no service-area structure for the Orange County cities she covers.
- AI Discoverability (6.4): no
llms.txtand no clean entity graph for a modern crawler to parse.
Before
↓
After
The business
- ✓ Jenn Miller, birth doula services
- ✓ Serving Orange County, California
- ✓ Certified birth doula, sixteen years
- ✓ Found Digilu through an AIOInsights check
The Template Became a Practice
The old site opened with a generic layout that pushed Jenn, her credentials, and the proof down the page. The rebuild flips it so trust leads. Here is what came first, what replaced it, and the score it produced.
What came first. A generic layout with Jenn far below the fold, the credentials written as flat text, and nothing a machine could read as trust.
What we built. A warm, owner-first design that leads with Jenn, her sixteen years and her real credentials, all of it written as structured data an AI model can read.
People and AI assistants size up a doula in the first few seconds, on the trust they can actually see. Jenn had a real record families relied on, but a generic layout hid it below the fold and wrote it as flat text no model could parse as proof. Leading with her credentials and testimonials, and encoding them as structured data, fixed the thing that was really holding the practice back.
Certified birth doula, sixteen years
- ✓ Certified Birth Doula
- ✓ Certified Lactation Educator Specialist
- ✓ Trauma-Care and CPR/AED certified
- ✓ Sixteen years supporting births, mother of five
She Already Had the Trust. It Just Wasn’t Reaching AI.
This is the part most marketers get wrong. OC Doulas did not need a louder pitch. Jenn had sixteen years of earned trust and real client testimonials. The problem was structural: that reputation never made it into a form an AI model could read off her own website.
We encoded her real credentials as Person structured data, added her client testimonials as review and testimonial markup, and marked the practice up as a literal LocalBusiness. That lifted Trust from a 2 to an 8. We are honest about the ceiling: with no public review platform, an 8 is the real number, not a 10. The clear path to a 10 is a public review profile, so her testimonials become collectable reviews an aggregate rating can be built from.
Her biggest asset went from invisible to the first thing both people and machines see.
What Digilu Built
A generic layout became a real practice presence, built to the standard that earns a 9.1.
Machine-Readable Credentials
Real Person and testimonial structured data so AI systems can finally read her certifications and the client trust behind them, straight from her own site.
Orange County Service Pages
Service-area pages for San Clemente, Dana Point, San Juan Capistrano, Mission Viejo, and across South Orange County, each with local content, a Maps link, and its own schema.
AI Discoverability Layer
A literal LocalBusiness markup, an llms.txt file, an AI-crawler-friendly robots.txt, a clean sitemap, and an entity graph so modern crawlers can find and trust the site.
An Owner-First Brand
A warm rebrand to OC Doulas that leads with Jenn, her sixteen years and her real credentials, replacing the generic layout that buried her.
Service-Depth Pages
Dedicated pages for birth doula support, birth photography, and lactation support, each written for the questions families actually ask, and structured for AI to answer them.
Lead Capture That Works
A contact form that reaches Jenn directly, plus clear calls to action on every page, turning new visibility into real conversations.
A Case Study That Keeps Score
Digilu does not stop at launch. This site is actively managed, and its AIOInsights score is re-measured on the live engine every month. The number below is not a one-time result, it is a public, running record. Last checked June 2026; next check July 2026.
Current score
9.1 / 10
Since launch
6.7 → 9.1
2026
This is the first monthly reading. The chart fills in as the score is re-measured each month, so anyone can watch the work continue. As the site earns real traffic and results, winning performance metrics will be added here too.
The trust was always there. Visibility was the missing piece.
A high score is not the goal. It is the evidence. OC Doulas proves what the trust thesis predicts: when a doula already deserves to be chosen, the work is not manufacturing trust, it is making the trust legible to the systems doing the recommending. The Trust pillar reached an honest 8, not a 10, because there is no public review platform yet. That gap is real, and naming it is how you know the scores are real.
Search is changing. Families ask an AI assistant which doula to call before they ever open a map. The ones who win that question are the ones whose proof is machine-readable. Jenn’s clients always trusted her. Now the machines can read why.
That is the thesis. OC Doulas is the proof.
Curious how AI sees your business?
Run the same free check Jenn did. It is real, it is instant, and it measures exactly what AI can see when it decides who to recommend.