# DNAfit
> DNAfit is a UK-based genetic testing company that provides personalized fitness and nutrition reports based on a customer's DNA profile. Founded in 2013, the company uses a swab-based collection kit to analyze genetic markers related to power/endurance, injury risk, and recovery, as well as macro and micronutrient sensitivities.
- URL: https://optimly.ai/brand/dnafit
- Slug: dnafit
- BAI Score: 68/100
- Archetype: Challenger
- Category: Health & Wellness
- Last Analyzed: April 9, 2026
## Competitors
- 23andMe Holding Co. (https://optimly.ai/brand/23andme)
- Fitnessgenes (https://optimly.ai/brand/fitnessgenes)
- GenoPalate (https://optimly.ai/brand/genopalate)
- Zoe (https://optimly.ai/brand/zoe)
## AI-Suggested Alternatives
- Activity Trackers (https://optimly.ai/brand/activity-trackers)
## Also Referenced By
- GenoPalate (with AncestryHealth context) (https://optimly.ai/brand/ancestryhealth-historical-context-genopalate)
- NutriDNA (https://optimly.ai/brand/nutridna)
- Nutrigenomix Inc. (https://optimly.ai/brand/nutrigenomix)
## Buyer Intent Signals
Problems: Standard Calorie/Macro Calculators: Using generic online calorie calculators and government health guidelines based on age and weight. | Personal Nutritionist/Dietitian: Working with a registered dietitian or nutritionist for professional blood work and lifestyle assessment. | Status Quo: Maintaining current diet and exercise routines without data-driven personalization.
Solutions: best DNA path for fitness and diet | DNA based nutrition plan reviews | personalized diet based on microbiome and DNA | genetic testing for athletic performance | is genetic dieting a scam | Activity Trackers: Using fitness trackers like Fitbit or Apple Watch to monitor activity without genetic tailoring.
---
## Full Details / RAG Data
### Overview
DNAfit is listed in the AI Directory.
DNAfit is a UK-based genetic testing company that provides personalized fitness and nutrition reports based on a customer's DNA profile. Founded in 2013, the company uses a swab-based collection kit to analyze genetic markers related to power/endurance, injury risk, and recovery, as well as macro and micronutrient sensitivities.
### Metadata
| Field        | Value |
|--------------|-------|
| Name         | DNAfit |
| Slug         | dnafit |
| URL          | https://optimly.ai/brand/dnafit |
| BAI Score    | 68/100 |
| Archetype    | Challenger |
| Category     | Health & Wellness |
| Last Analyzed | April 9, 2026 |
| Last Updated | 2026-04-26T10:19:48.528Z |
### Verified Facts
- Founded: 2013
- Headquarters: London, United Kingdom
### Competitors
| Name | Profile |
|------|---------|
| 23andMe Holding Co. | https://optimly.ai/brand/23andme |
| Fitnessgenes | https://optimly.ai/brand/fitnessgenes |
| GenoPalate | https://optimly.ai/brand/genopalate |
| Zoe | https://optimly.ai/brand/zoe |
### Also Referenced By
- GenoPalate (with AncestryHealth context) (https://optimly.ai/brand/ancestryhealth-historical-context-genopalate)
- NutriDNA (https://optimly.ai/brand/nutridna)
- Nutrigenomix Inc. (https://optimly.ai/brand/nutrigenomix)
### AI-Suggested Alternatives
- Activity Trackers (https://optimly.ai/brand/activity-trackers)
### Buyer Intent Signals
#### Problems this brand solves
- Standard Calorie/Macro Calculators: Using generic online calorie calculators and government health guidelines based on age and weight.
- Personal Nutritionist/Dietitian: Working with a registered dietitian or nutritionist for professional blood work and lifestyle assessment.
- Status Quo: Maintaining current diet and exercise routines without data-driven personalization.
#### Buyers search for
- best DNA path for fitness and diet
- DNA based nutrition plan reviews
- personalized diet based on microbiome and DNA
- genetic testing for athletic performance
- is genetic dieting a scam
- Activity Trackers: Using fitness trackers like Fitbit or Apple Watch to monitor activity without genetic tailoring.
### Links
- Canonical page: https://optimly.ai/brand/dnafit
- JSON endpoint: /brand/dnafit.json
- LLMs.txt: /brand/dnafit/llms.txt