trainedby.ai

Undeclared developer

trainedby.ai

AI Fitness coaching

Lifestyle
ChatGPT

Snapshot

First seen

Jan 28, 2026

51

Score

51 · Needs Work

Dashboard

A faster read on the listing: the score snapshot, the story the page is telling, and the strongest evidence we have right now.

Visibility score

51

Needs Work

Search footprint

0

Out of 40

Listing clarity

51

Out of 60

Evidence signals

9

Screenshots, prompts, and trust links

Listing narrative

What the listing says today

Best rank

Tagline

AI Fitness coaching

Capabilities

Writes

Description

trainedby.ai connects your wearables to ChatGPT, so your AI coach knows your real training load, sleep patterns, and recovery without you typing a word. **The problem with AI fitness coaching today** People are turning to ChatGPT to plan their marathon training, strength programs, or HYROX prep. It makes sense, because AI is available 24/7, extremely patient, and quite knowledgeable. But somehow it doesn't quite work. And that is because you have to tell it everything. Every. Single. Time. Every conversation starts from zero. You have to describe in detail your current level, recent workouts, schedule, and goals. You paste in screenshots from Garmin. You try to remember what you did last week, how you slept, that your resting HR has been elevated, or that your HRV has been trending down for weeks. The advice is based on what you told it, not what actually happened. And what you tell it is incomplete, subjective, and often wrong. What if your AI coach could see everything? We connect your wearables (Garmin, Oura, Whoop, Apple Health, and 50+ other platforms) directly to your AI assistant. When you open ChatGPT and ask about your training, it already knows: - Workouts from the past weeks, months, and year - Sleep quality and patterns - Heart rate variability and resting heart rate trends - Daily activity and recovery metrics - Nutrition and menstrual cycle data (if you track it) No more context dumps. No more subjective self-reporting. **How it works** We use smart compression to turn weeks of wearable data into something an AI can understand and analyze. Instead of dumping raw heart rate readings into a chat window, we surface the trends and patterns that matter—elevated resting HR, declining HRV, increasing training load, poor sleep consistency. The data rolls up from days to weeks to months to years, so you can spot trends. And because it's integrated into ChatGPT, you just start chatting. Beyond wearable data, you can add notes like workout goals, feedback, and other personal information such as availability and injuries. This way, the AI gets that bit of subjective context it needs to give you the best advice. **Who this is for** If you're already wearing a watch or ring, and using AI to help plan your training, whether that's for a marathon, strength program, or general fitness, trainedby.ai makes that experience dramatically better. **Get started** The product is free to use. Connect your wearables, add the integration to your AI assistant, and start chatting. More

Snapshot notes

First seen Jan 28, 2026

0 tracked keyword intents and 0 category placements

3 screenshots and 3 prompt examples captured

Immediate read

Showing up, but not yet clearly competitive

Confidence: High — Tool coverage data is incomplete for this app, so tool depth is weighted lightly and excluded when unavailable.

No strong search anchor captured yet

Visual evidence

Screenshots and prompt examples

3 assets captured

trainedby.ai screenshot 1
Is today a good day for a hard workout?
trainedby.ai screenshot 2
What else do you need to know about my training to help me better?
trainedby.ai screenshot 3
Analyze trends in my training history from last months

Score breakdown

A simpler view of what is driving the score now and where the listing is still leaving the most value on the table.

51 · Needs Work

Showing up, but not yet clearly competitive

Built from search footprint out of 40 and listing clarity out of 60.

Confidence: High · Tool coverage data is incomplete for this app, so tool depth is weighted lightly and excluded when unavailable.

51

Score

Search footprint

0

Listing clarity

51

Best observed rank

Markets tracked

0

Top 10 placements

0

Trust links

3

Search footprint

Keyword breadth

No tracked keyword intents are ranking yet.

0/12

Needs attention

Average rank quality

No keyword positions are available yet.

0/14

Needs attention

Best observed rank

No strong anchor ranking is captured yet.

0/8

Needs attention

Category placements

No tracked category placements are helping yet.

0/6

Needs attention

Listing clarity

Description quality

2536 characters of description copy are available.

18/18

Strong

Tagline specificity

Short, specific value propositions earn more credit than generic taglines.

3/4

Partial

Developer trust

Developer attribution is missing, which weakens trust.

2/4

Partial

Capability coverage

Declared capabilities help users understand the product surface faster.

3/6

Partial

Screenshots

3 screenshot assets are captured.

10/10

Strong

Prompt examples

3 prompt examples are visible.

6/8

Partial

External trust links

3 trust/doc links are helping validate the listing.

6/6

Strong

Tool depth

No tool inventory is currently captured.

Tool coverage data is incomplete for this app, so tool depth is weighted lightly and excluded when unavailable.

0/4

Needs attention

Actions

Priority-ranked changes that would make this listing easier to understand and more competitive in search.

P01

Push more intents into the top results

There is no strong top-of-page placement yet. Tighten messaging around the most important jobs-to-be-done so the app competes earlier in search results.

P02

Broaden the search footprint

The app is not yet ranking for tracked keyword intents. Expand query coverage with clearer use-case language and metadata that matches search intent.

P03

Win one anchor query decisively

The listing does not yet own an anchor query. Focus on one high-intent use-case and shape the metadata so the app can win that search outright.

P04

Improve category relevance

The app is not benefiting from category placements yet. Make the category use-case more explicit so it is easier to place and compare.

P05

Clarify the product surface

Capabilities are declared, but they can be made more specific so buyers understand what the app actually enables at a glance.

Keyword data

Coverage first, then the full searchable ranking list in a compact table.

No tracked rankings yet

This app is in the catalog, but there are no current keyword or category ranking rows available yet.

History

A running view of how the listing has changed across tracked snapshots.

1.0.0

Feb 25, 2026, 6:33 AM

0 changes

1.0.0

Feb 4, 2026, 6:06 AM

0 changes

1.0.0

Jan 28, 2026, 5:49 AM

1 changes

Initial discovery

First tracked version