- 01HabiticaTurns goals into a game
- 02BeeminderMoney on the line
- 03NotionBuild your own tracker
Become the answer
AnswerFit by Anphase measures how AI models describe, compare and recommend one product or company. It is a measurement instrument, not an SEO suite, and it does not promise rankings.
Watch a runThe run
ANNET / ILLUSTRATIVE RUNAn illustrative four-act run for Annet, an Anphase goal and accountability product at annet.ai. Ask: four models answer the same question about staying accountable to a big goal and none name Annet. Measure: Annet's report recorded on 3 Sept 2026 finds Annet named in 22 of 24 answers asked by name and 12 of 114 answers when customers ask; Habitica is recommended 40 times, Beeminder 38, Notion 36 and Annet 12. Change: category copy, SoftwareApplication JSON-LD and llms.txt are added, and the text that carries the argument is server-rendered. Re-test: Annet is named first by ChatGPT and Gemini, second by Claude and not named by Grok, for three of four sample answers, with an illustrative Fit Lift of +0.21, interval +0.12 to +0.30, and negative controls held. The baseline figures in Measure are recorded; the answers, the changes and the re-test are illustrative, not a measured lift.
Examples
Recommended instead
- Insight Timer
- Calm
- Headspace
What a model found, crawled 29 Aug 2026
- 8% readable text
- no structured data
- no llms.txt
Top fix
Impact is measured by re-testing after the change.
Recommended instead
- Readwise Reader
- Grammarly
- Scrivener
What a model found, crawled 29 Aug to 3 Sept 2026
- little readable text
- no structured data
- no llms.txt
Top fix
Impact is measured by re-testing after the change.
Recommended instead
- Habitica
- Beeminder
- Notion
What a model found, crawled 22 Aug 2026
- 4% readable text
- 2 pages empty without script
- no llms.txt
Top fix
Impact is measured by re-testing after the change.
Recommended instead
- Cloudflare R2
- 0x0.st
- transfer.sh
What a model found, crawled 29 Aug 2026
- 20% readable text
- no structured data
- no llms.txt
Top fix
Impact is measured by re-testing after the change.
How it works
Each run is versioned so every claim can be retested against a comparable run.
In private beta
AnswerFit is being pressure-tested across models, angles and positioning, with early access limited while that work continues.