# Gambly.ai in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/gambly.ai
Canonical domain: gambly.ai
Source role: Other observed source
Release mri_score_v2.1+2026-10-24+e479e9b12312; methodology mri_score_v2.1; generated 2026-10-24; window 2026-05-10 to 2026-10-24; artifact e479e9b12312.

gambly.ai appeared as a cited source in 1 of 30,766 monitored answer runs (0.00%) from 2026-05-10 to 2026-10-24.

## Overall Evidence

- Citation rate: 0.00%
- Cited runs: 1 of 30,766
- Days cited: 1 of 161
- Engine breadth: 1 observed engines (chatgpt)
- Confidence: Collecting
- Standing: collecting · 0.00% across 1/30,766 observed runs

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Standing |
|---|---|---|---:|---:|---:|---:|---|
| [iGaming & Betting](https://machinerelations.ai/index/categories/igaming-betting) | [How buyers choose](https://machinerelations.ai/index/categories/igaming-betting/how_choose) | published | 1 | 180 | 10 | 0.56% | #192 of 256 |

## Citation Record

gambly.ai has been cited in one monitored answer run, on September 28, 2026, by ChatGPT, in answers to iGaming & Betting / How buyers choose questions. Other sources cited for iGaming & Betting questions: https://machinerelations.ai/index/categories/igaming-betting

## Peers

Gambly.ai holds its best segment rank, #192 of 256, in iGaming & Betting / How buyers choose, at 0.56%. 105 sources on that leaderboard share that rate, and their order inside the tie is not a measured difference. Listed here: the nearest sources cited more and less often than it, and the sources beside it that share this best segment. Leaderboard: https://machinerelations.ai/index/categories/igaming-betting/how_choose

| Rank | Source | Source role | Segment citation rate | Against this source |
|---|---|---|---:|---|
| #123 of 256 | [Igamingdeveloper.com](https://machinerelations.ai/index/domains/igamingdeveloper.com) | Other observed source | 1.11% | +0.55 pts |
| #124 of 256 | [Igamingsupershow.com](https://machinerelations.ai/index/domains/igamingsupershow.com) | Other observed source | 1.11% | +0.55 pts |
| #125 of 256 | [Infobet.hr](https://machinerelations.ai/index/domains/infobet.hr) | Other observed source | 1.11% | +0.55 pts |
| #126 of 256 | [Innowise.com](https://machinerelations.ai/index/domains/innowise.com) | Other observed source | 1.11% | +0.55 pts |
| #127 of 256 | [Intelitics.com](https://machinerelations.ai/index/domains/intelitics.com) | Other observed source | 1.11% | +0.55 pts |
| #128 of 256 | [Js13kgames.com](https://machinerelations.ai/index/domains/js13kgames.com) | Other observed source | 1.11% | +0.55 pts |
| #190 of 256 | [Evenbeter.com](https://machinerelations.ai/index/domains/evenbeter.com) | Other observed source | 0.56% | Same rate |
| #193 of 256 | [Gamereactor](https://machinerelations.ai/index/domains/gamereactor.eu) | Editorial publication | 0.56% | Same rate |

## Citation

Gambly.ai (gambly.ai), 0.00% citation rate, 1 of 30,766 monitored answer runs, 2026-05-10 to 2026-10-24, mri_score_v2.1, mri_score_v2.1+2026-10-24+e479e9b12312, https://machinerelations.ai/index/domains/gambly.ai.

## Badge

Badge image: https://machinerelations.ai/index/domains/gambly.ai/badge.svg

[![Gambly.ai (gambly.ai), 0.00% citation rate, 1 of 30,766 monitored answer runs, 2026-05-10 to 2026-10-24, mri_score_v2.1, mri_score_v2.1+2026-10-24+e479e9b12312, https://machinerelations.ai/index/domains/gambly.ai.](https://machinerelations.ai/index/domains/gambly.ai/badge.svg)](https://machinerelations.ai/index/domains/gambly.ai)

The badge is live: it shows the current release, so it changes when the release changes, and it returns 404 if this domain leaves the released population. The link goes to this profile and the alt text is the citation above.

## Public Boundary

The public dataset reports citation rates, rankings, and evidence counts. It excludes internal query identifiers, raw cited URLs, and answer-engine provider payloads. MRI measures observed root-domain citations in monitored prompts; it does not measure all AI answers, recommendation quality, website traffic, or commercial performance. A citation does not prove source support, and MRI confidence is not an Answer-Source Fidelity grade.

## Related Sources

- [Machine Relations Index](https://machinerelations.ai/index)
- [Public JSON artifact](https://machinerelations.ai/data/machine-relations-index.json)
- [Release manifest](https://machinerelations.ai/data/mri-release-manifest.json)