# Adobe.com in the Machine Relations Index

Canonical URL: https://machinerelations.ai/index/domains/adobe.com
Canonical domain: adobe.com
Source role: Vendor-owned source
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.

adobe.com appeared as a cited source in 65 of 15,782 monitored answer runs (0.41%) from 2026-05-10 to 2026-09-18.

## Overall Evidence

- Citation rate: 0.41%
- Cited runs: 65 of 15,782
- Days cited: 30 of 125
- Engine breadth: 6 observed engines (chatgpt, claude, gemini, google_ai_mode, google_ai_overviews, perplexity)
- Confidence: Confidence C
- Standing: #140 of 22,179 observed domains

## 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 | 1 | 113 | 7 | 0.88% | Unavailable | #165 of 351 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [How buyers choose](https://machinerelations.ai/index/categories/ai-visibility-geo/how_choose) | published | 1 | 113 | 7 | 0.88% | Unavailable | #153 of 448 |
| [AI Visibility & GEO](https://machinerelations.ai/index/categories/ai-visibility-geo) | [Comparisons](https://machinerelations.ai/index/categories/ai-visibility-geo/x_vs_y) | published | 2 | 132 | 7 | 1.52% | Unavailable | #94 of 417 |
| [Education & Training](https://machinerelations.ai/index/categories/education-training) | [Problem-first research](https://machinerelations.ai/index/categories/education-training/problem_first) | published | 1 | 100 | 7 | 1.00% | Unavailable | #98 of 229 |
| [Emergent Prosumer](https://machinerelations.ai/index/categories/emergent-prosumer) | [Problem-first research](https://machinerelations.ai/index/categories/emergent-prosumer/problem_first) | published | 4 | 101 | 7 | 3.96% | Unavailable | #22 of 162 |
| [Enterprise Software](https://machinerelations.ai/index/categories/enterprise-software) | [Problem-first research](https://machinerelations.ai/index/categories/enterprise-software/problem_first) | published | 3 | 106 | 7 | 2.83% | Unavailable | #32 of 258 |
| [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 | #1,973 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 | 52 | 602 | 53 | 8.64% | Unavailable | #6 of 1,244 |

## Citation

Adobe.com (adobe.com), 0.41% citation rate, 65 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/adobe.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.