# Softwaresuggest.com in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/softwaresuggest.com
Canonical domain: softwaresuggest.com
Source role: Editorial publication
Release mri_score_v2.0+2026-09-18+8fa38e54dd0a; methodology mri_score_v2.0; generated 2026-09-18; window 2026-05-10 to 2026-09-18; artifact 8fa38e54dd0a.

softwaresuggest.com appeared as a cited source in 13 of 15,782 monitored answer runs (0.08%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 0.08%
- Cited runs: 13 of 15,782
- Days cited: 13 of 125
- Engine breadth: 4 observed engines (chatgpt, claude, google_ai_mode, perplexity)
- Confidence: Collecting
- Standing: collecting · 0.08% across 13/15,782 observed runs

## Observed Segments

| Category | Question shape | State | Cited runs | Observed runs | Run dates | Rate | Confidence | Standing |
|---|---|---|---:|---:|---:|---:|---|---|
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Best tools](https://machinerelations.ai/index/categories/ai-visibility-geo/best_x) | published | 2 | 113 | 7 | 1.77% | Unavailable | #153 of 351 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Best tools](https://machinerelations.ai/index/categories/enterprise-software/best_x) | published | 2 | 101 | 7 | 1.98% | Unavailable | #111 of 167 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Top lists](https://machinerelations.ai/index/categories/enterprise-software/top_list) | published | 3 | 114 | 7 | 2.63% | Unavailable | #83 of 264 |
| [Fintech](https://machinerelations.ai/index/categories/fintech) | [Best tools](https://machinerelations.ai/index/categories/fintech/best_x) | published | 1 | 108 | 7 | 0.93% | Unavailable | #193 of 224 |
| [Healthcare Services](https://machinerelations.ai/index/categories/healthcare-services) | [Best tools](https://machinerelations.ai/index/categories/healthcare-services/best_x) | collecting | 2 | 101 | 6 | Unavailable | Unavailable | Collecting observations; no mature rank |
| [HR & Talent](https://machinerelations.ai/index/categories/hr-talent) | [News-driven citations](https://machinerelations.ai/index/categories/hr-talent/news_topic) | published | 1 | 608 | 53 | 0.16% | Unavailable | #1,096 of 1,249 |
| [Legacy News Topics](https://machinerelations.ai/index/categories/legacy-unmapped) | [News-driven citations](https://machinerelations.ai/index/categories/legacy-unmapped/news_topic) | published | 1 | 2,138 | 54 | 0.05% | Unavailable | #3,498 of 4,025 |
| [Martech & Advertising](https://machinerelations.ai/index/categories/martech-advertising) | [News-driven citations](https://machinerelations.ai/index/categories/martech-advertising/news_topic) | published | 1 | 602 | 53 | 0.17% | Unavailable | #1,074 of 1,244 |

## Citation

Softwaresuggest.com (softwaresuggest.com), 0.08% citation rate, 13 of 15,782 monitored answer runs, 2026-05-10 to 2026-09-18, mri_score_v2.0, mri_score_v2.0+2026-09-18+8fa38e54dd0a, https://machinerelations.ai/index/domains/softwaresuggest.com.

## 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)
- [AuthorityTech publication intelligence projection](https://authoritytech.io/publications.md) — Practitioner projection derived from the neutral Machine Relations Index. It is not source evidence, citation provenance, or sameAs identity for the neutral dataset.