Built to be found, by people and by agents.
Moodwell's site runs the same AI discoverability playbook I use for enterprise sites: a deep content architecture, a markdown twin for every page, llms.txt, and explicit content signals, so search engines and AI assistants can understand, cite, and recommend it.
- Indexed URLs
- 184
- Guides
- 82
- Machine-readable
- Markdown twins · llms.txt
- AI signals
- Search · AI input · AI training
A new product starts invisible
A new app has no brand recall and no backlinks. And more and more, people ask an AI assistant what to use before they ever open a search engine.
Discoverability had to be designed into the site from day one, not bolted on after launch.
The content architecture
What's in the sitemap, by section.
184
URLs in the sitemap
82
Practical guides
45
Pages in The Whole Picture
10
Use-case pages
Discoverability, feature by feature.
Content architecture
Layer, feature, integration, and use-case pages, plus 82 guides that answer the specific questions people search for.
The Whole Picture
An editorial hub of comparisons, tracking explainers, concepts, and a glossary, bylined to the coach personas and labeled as AI-generated.
Markdown twins
Every page has a clean markdown version at /index.html.md, so AI agents get the content without the layout.
llms.txt
A curated map of layers, features, use cases, and policies written for language models.
Content signals
robots.txt declares search, AI input, and AI training permissions explicitly with Content-Signal.
Structured data
Schema.org SoftwareApplication markup with a stable @id, so Moodwell resolves as one consistent entity across the web.
The calls that shaped it.
- 01
Label AI-written content
The Whole Picture articles are published as AI-generated and bylined to the coach personas. They're never passed off as human experts.
- 02
Opt in to AI, explicitly
robots.txt allows search, AI input, and AI training. For a new product, being part of the answer is worth more than staying out of the models.
- 03
Hedged copy is precise copy
Product pages state limits plainly (what's estimated, what costs credits, what isn't covered), which reads as trustworthy to people and as unambiguous to models.
- 04
The same playbook as this site
Markdown twins, llms.txt, and content negotiation are the same patterns running on andekian.com, applied to a consumer product.
Where AI fits
AI is both an audience for the site and a disclosed contributor to it.
AI assistants
Read llms.txt and markdown twins to answer questions about Moodwell accurately.
Editorial
The Whole Picture articles are AI-generated and bylined to coach personas.
Always labeled as AI-generated.
What it won't do.
Transparent authorship
AI-generated articles say so, and their June to September 2026 dates are disclosed as organizational, not publish dates.
More of the build.
AI & integrations
13 coach personas with identical permissions, a credit model, review-before-save, and read-only Health Connect.
Fitness
Set-by-set logging, weekly routines, and a strength index built entirely from your own log.
Nutrition
Six capture methods, adaptive calorie targets, and meal planning on the shared weekly plan.
Health
Medication, supplement, GLP-1, and peptide tracking, with a cited safety check that never fakes an all-clear.
Mindfulness
One-minute check-ins, journaling, guided conversations, and 30 short wellbeing tools.
Try Moodwell.
Android beta applications are open and the iOS waitlist is live. Plans are $9.99 a month or $99 a year, with a 7-day trial.
Building an AI product of your own, or bringing AI into an enterprise team?
