MentionX AI Visibility Report 2026

Status: Research in progress. This page documents scope and methodology. No statistics below are live data — aggregates will appear only after the cohort batch scan completes and passes QA.

(To be completed from stored scan aggregates.)

The MentionX AI Visibility Report 2026 will answer:

1. What percentage of SaaS brands in our cohort appear in AI recommendations on category prompts?
2. How do mention rates differ across ChatGPT, Gemini, and Perplexity?
3. Which citation domain types dominate (reviews, community, owned, Wikipedia)?
4. Is share of voice concentrated in category leaders or fragmented?
5. What is the mention–citation gap prevalence (named but not cited, cited but not named)?

Enterprise buyers and marketers ask for category benchmarks. Most “AI SEO reports” repackage anecdotes.

MentionX will publish benchmarks only from:

• A defined cohort (target: 100 B2B SaaS brands)
• A fixed prompt methodology (Methodology)
• Immutable stored responses per engine run
• Deterministic scoring (mention rate, SOV, citation share)

Same infrastructure customers use. The report is product proof, not content marketing fiction.

Cohort

Cohort definition lives in research config — not hardcoded in application routes.

Prompt set

• 30 buyer prompts per brand (recommendation, comparison, alternative mix)
• Same intent distribution as production scans (engine spec)
• Prompt set hash recorded per brand

Engines

• ChatGPT (OpenAI web-search surface)
• Gemini (Google search grounding)
• Perplexity (Sonar)

Metrics reported

Quality gates

• No metric published without ≥95% successful engine runs
• Outliers flagged (failed discovery, incomplete scans)
• Methodology version stamped on report
• Independent QA review before publish

1. Introduction — AI discovery shift for SaaS
2. Methodology — cohort, prompts, engines, formulas
3. Mention landscape — % brands mentioned ≥1× on category prompts
4. Engine divergence — ChatGPT vs Gemini vs Perplexity
5. Citation topology — review, community, owned, reference domains
6. Leader concentration — SOV Gini / top-decile share
7. Mention–citation patterns — four-pattern framework (insights)
8. Implications for GEO — actionable, not generic tips
9. Appendix — full metric definitions, version hashes

This report feeds the recurring MentionX AI Visibility Index — quarterly SOV rankings by vertical:

Index
├── SaaS (launch vertical)
├── CRM
├── Marketing Technology
├── Cybersecurity
├── HR Technology
├── Ecommerce
└── Fintech

Index entries = aggregated scan metrics, not editorial opinion.

Report release will be announced on mentionx.ai/insights and to Founding Supporters.

Run your own baseline now: app.mentionx.ai/start

Contact: dj@mentionx.ai · Methodology available at /methodology

• Research pipeline: docs/RESEARCH_PIPELINE_SPEC.md (engineering, repo)
• GEO Complete Guide
• What Is AI Visibility?