ChatGPTOpenAI modelWhat should I use to stay accountable to a big goal?
- 01HabiticaTurns goals into a game
- 02BeeminderMoney on the line
- 03NotionBuild your own tracker
Annet: not named
Become the answer
AnswerFit by Anphase asks AI models what your product is, who it suits and whether they would recommend it. It shows where the answer is wrong and how to test a change. 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.
04 / RE-TEST THE FIT
Same question, a different picture
asked again, same questions, same models
Named in 3 of 4
ChatGPTOpenAI modelWhat should I use to stay accountable to a big goal?
- 01AnnetGoals with an AI and your people
- 02HabiticaTurns goals into a game
- 03BeeminderMoney on the line
Annet: named
ClaudeAnthropic modelWhat should I use to stay accountable to a big goal?
- 01BeeminderCommitment with stakes
- 02AnnetAccountability with chosen people
- 03FocusmateWork alongside someone
Annet: named
GeminiGoogle modelWhat should I use to stay accountable to a big goal?
- 01AnnetAn accountability network
- 02NotionFlexible goal templates
- 03HabiticaGamified habits
Annet: named
GrokxAI modelWhat should I use to stay accountable to a big goal?
- 01BeeminderPay if you slip
- 02TodoistTasks and due dates
- 03HabiticaA goal RPG
Annet: not named
Fit Lift
interval +0.12 to +0.30 negative controls held
Illustrative run based on Annet's recorded report. The baseline figures in Measure are recorded; the answers, the changes and the re-test are illustrative, not a measured lift.
Recorded runs02 / EXAMPLES
Examples
AF / 01
Selfime
selfime.comMissing from
25 of 25
customer questions
Named when asked directly: 39 of 39
Recommended instead
- Insight Timer
- Calm
- Headspace
Top fix to try
Publish an llms.txt summary for models
Selfime's site publishes no llms.txt file.
Show history and next stepsHide details
What a model found, crawled 8 Oct 2026
- no structured data
- no llms.txt
- 35% readable text
Changes so far
- 29 Aug: 8% readable text, no structured data, no llms.txt
- 8 Oct: readable text up to 35%; the other two gaps remain
- Prepared, not live: llms.txt and structured data, waiting for review
Next to try
- Add structured data that says what it is
- Put the key text in the page itself
Re-test after the top fix
Simulated to show what a re-test would report, and not a measured result.
AF / 02
Poreover
poreover.xyzMissing from
21 of 21
customer questions
Named when asked directly: 46 of 51
Recommended instead
- Zotero
- Readwise Reader
- NotebookLM
Top fix to try
Add structured data that says what it is
No page on Poreover's site carries structured data saying what it is.
Show history and next stepsHide details
What a model found, crawled 8 Oct 2026
- 3% readable text
- no structured data
Changes so far
- 29 Aug to 3 Sept: little readable text, nothing for models to read
- 8 Oct: still one page at 3% readable text
- Prepared, not live: llms.txt, structured data and a clearer first line
Next to try
- Put the key text in the page itself
- Link the name to its official profiles
Re-test after the top fix
Simulated to show what a re-test would report, and not a measured result.
AF / 03
Annet
annet.aiMissing from
20 of 20
customer questions
Named when asked directly: 6 of 12
Recommended instead
- Strides
- Todoist
- Motion
Top fix to try
Link the name to its official profiles
Add schema.org sameAs on the entity's JSON-LD pointing at owned, unambiguous profiles.
Show history and next stepsHide details
What a model found, crawled 8 Oct 2026
- 5% readable text
- 2 pages empty without script
- no llms.txt
- structured data present
Changes so far
- 22 Aug: 4% readable text and no structured data
- 2 Sept: structured data added to the site
- Prepared, not live: llms.txt and links to its official profiles
Next to try
- Say in the first sentence what it is not
- Pair the name with a unique qualifier
Re-test after the top fix
Simulated to show what a re-test would report, and not a measured result.
AF / 04
svc.nz
svc.nzMissing from
25 of 25
customer questions
Named when asked directly: 30 of 33
Recommended instead
- 0x0.st
- transfer.sh
- webhook.site
Top fix to try
Add structured data that says what it is
No page on svc.nz's site carries structured data saying what it is.
Show history and next stepsHide details
What a model found, crawled 8 Oct 2026
- no structured data
- 38% readable text
Changes so far
- 29 Aug: 20% readable text, no structured data
- 8 Oct: readable text up to 38%; structured data still missing
Next to try
- Put the key text in the page itself
- Publish a page naming the specific capability and its mechanism
Re-test after the top fix
Simulated to show what a re-test would report, and not a measured result.
From recorded runs on 9 Oct 2026: one model with web tools, three passes per product. Not a ranking.
How it works
Each run is versioned so every claim can be retested against a comparable run.
Four readings, never one score
Does AI understand what you made?
Being known is not the same as being understood. AnswerFit keeps four readings apart, so a high number in one cannot hide a gap in another.
Known by name
When someone asks about you directly, does the model recognise you?
Described correctly
When it does, is what it says true, or is it describing something else?
Suited to a use case
When someone describes a problem you solve, are you named?
Recommended
When someone asks what to choose, are you among the answers?
Where the answer is wrong, the report names the one misunderstanding worth testing and proposes an experiment, and never promises a fix. Results that did not move, or moved the wrong way, are kept in the notebook beside the ones that did.
In private beta
AnswerFit is being pressure-tested across models, angles and positioning, with early access limited while that work continues.