# Mordor Intelligence Answer-Engine Citation Authority: MRI v2 Data Shows 1.3% Citation Rate Across All Six AI Engines

Machine Relations Index v2 data shows mordorintelligence.com cited in 1.3% of observed AI answer-engine runs — ranking #34 among 17,342 measured domains and #5 among evidence-qualified market research databases. A market sizing publisher that outranks MarketsandMarkets and trails only G2, Crunchbase, Grand View Research, and Fortune Business Insights in its source category.

Canonical URL: https://machinerelations.ai/research/mordor-intelligence-answer-engine-citation-authority-2026
Published: 2026-08-06
Research type: Index Analysis

## Source Body

Mordor Intelligence is cited in 1.3% of all observed AI answer-engine runs across ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews, and Perplexity, according to MRI v2 measurement data covering an 83-day observation window. That places mordorintelligence.com at #34 among 17,342 measured domains and #5 among the 44 evidence-qualified market research databases in the index — behind G2, Crunchbase, Grand View Research, and Fortune Business Insights, but ahead of MarketsandMarkets, Tracxn, and Failory. For a publisher whose primary output is paywalled industry reports with TAM/SAM projections, this citation rate reflects a specific structural role: AI engines treat mordorintelligence.com as a quantitative reference when they need market sizing figures.

## Where Mordor Intelligence Ranks Among All Measured Domains

The MRI v2 measures citation rates by counting how often each domain appears in AI answer-engine responses across standardized buyer questions. Mordor Intelligence holds a confidence-B rating, meaning the rate is backed by sufficient observation volume to be stable though not yet at the highest evidence tier. The domain was cited in 139 of 10,733 observed runs across 35 of the 83 days in the observation window.

| Rank | Domain | Source Role | Citation Rate | Runs Cited | Confidence |
|------|--------|------------|--------------|-----------|------------|
| 1 | reddit.com | Community platform | 12.66% | — | A |
| 2 | youtube.com | Media platform | 10.64% | — | A |
| 3 | linkedin.com | Community platform | 7.57% | — | A |
| 4 | medium.com | Editorial publication | 6.63% | — | A |
| 5 | forbes.com | Editorial publication | 4.30% | — | A |
| 6 | gartner.com | Analyst research | 3.61% | — | A |
| 8 | g2.com | Market database | 3.30% | — | A |
| 13 | crunchbase.com | Market database | 2.52% | — | B |
| 21 | grandviewresearch.com | Market database | 1.75% | — | B |
| **34** | **mordorintelligence.com** | **Market database** | **1.30%** | **139 / 10,733** | **B** |

Mordor Intelligence sits in a tier with Fortune Business Insights (1.50%) and MarketsandMarkets (1.17%). All three occupy the same structural niche: they produce industry-specific market sizing reports that AI engines reference when answering questions about market size, growth rates, or competitive landscapes. The citation rate gap between mordorintelligence.com and the top market database (G2 at 3.30%) is substantial, but Mordor Intelligence outperforms 99.8% of all 17,342 domains in the MRI v2 — including every vendor-owned knowledge base, most editorial publications, and all but four other market research databases.

## Mordor Intelligence Among Market Research Databases

Among the 615 market research databases measured in the MRI v2, Mordor Intelligence ranks fifth overall. Within the 44 evidence-qualified market databases (those with enough observation volume for stable citation rates), it holds the 90.9th percentile position.

| Rank (Market DB) | Domain | Citation Rate | Confidence | Full Universe Rank |
|-------------------|--------|--------------|------------|-------------------|
| 1 | g2.com | 3.30% | A | #8 |
| 2 | crunchbase.com | 2.52% | B | #13 |
| 3 | grandviewresearch.com | 1.75% | B | #21 |
| 4 | fortunebusinessinsights.com | 1.50% | B | #27 |
| **5** | **mordorintelligence.com** | **1.30%** | **B** | **#34** |
| 6 | marketsandmarkets.com | 1.17% | B | #41 |
| 7 | failory.com | 1.09% | B | #45 |
| 8 | tracxn.com | 1.02% | B | #47 |

G2 and Crunchbase occupy a different functional layer. G2 is cited for software reviews and product comparisons; Crunchbase for funding data and company profiles. Grand View Research, Fortune Business Insights, Mordor Intelligence, and MarketsandMarkets cluster in the 1.17–1.75% range and share a common citation function: AI engines reference them for [market sizing projections](https://zenitdata.com/blog/perplexity-vs-google-for-b2b-market-research/) — TAM estimates, CAGR forecasts, and industry segmentation data that buyers use during procurement research. A [Zenitdata analysis of Perplexity vs. Google for B2B market research](https://zenitdata.com/blog/perplexity-vs-google-for-b2b-market-research/) found that Perplexity surfaces market research estimates with inline citations more reliably than traditional search, often pulling directly from industry report landing pages.

The rate gap within this market-sizing cluster is narrow. Mordor Intelligence at 1.30% is 0.45 percentage points behind Grand View Research and 0.13 points ahead of MarketsandMarkets. A [Sectorial comparison of market research providers](https://sectorial.io/resources/blog/market-research-providers-compared) noted that these publishers often cover overlapping industries with competing TAM estimates — the MRI v2 data shows that AI engines treat them as near-substitutes, selecting whichever covers the specific market segment being asked about. These differences are within the range where changes in AI engine retrieval behavior could shift positions between measurement periods.

## Which Subject Categories Cite Mordor Intelligence Most

The MRI v2 measures citation rates per subject-category and question-shape pair. Mordor Intelligence has seven published strata (segments that cleared the evidence floor of at least 10 observations across at least 7 distinct run dates) and two strata still collecting data, spanning seven measured subject categories.

| Category | Question Shape | Citation Rate | Runs Cited / Observed | Category Percentile |
|----------|---------------|--------------|----------------------|---------------------|
| HR / talent | News topic | 4.44% | 27 / 608 | 98.2nd |
| Enterprise software | News topic | 3.02% | 18 / 596 | 97.7th |
| Martech / advertising | News topic | 2.99% | 18 / 602 | 96.4th |
| Cybersecurity | News topic | 2.89% | 18 / 623 | 96.9th |
| Legacy / unmapped | News topic | 2.34% | 50 / 2,138 | 99.2nd |
| Healthcare services | News topic | 0.82% | 5 / 613 | 82.4th |
| Fintech | News topic | 0.16% | 1 / 616 | 25.1st |

Two patterns stand out. First, Mordor Intelligence's citation rates concentrate in HR/talent (4.44%), enterprise software (3.02%), and martech (2.99%) — categories where its industry reports produce the TAM and market-size figures that AI engines surface when answering questions about market growth. [Axis Intelligence's 2026 AI search statistics](https://axis-intelligence.com/ai-search-statistics/) show that market sizing queries represent a growing share of informational AI search volume as B2B buyers shift procurement research to AI-first workflows. In the HR/talent category, Mordor Intelligence ranks 24th out of 1,249 measured domains (98.2nd percentile), meaning it outperforms virtually every other source in that segment. Second, the fintech stratum (0.16%, 25.1st percentile) shows where market research databases lose citation authority to more specialized sources: in financial services, AI engines prefer regulatory filings, analyst commentary, and vendor-owned sources over third-party market sizing.

The healthcare-services stratum (0.82%, 82.4th percentile) is notable because the sample query "AI in clinical decision-making adoption and safety concerns" falls within this category. Here, Mordor Intelligence is cited less frequently than in its strongest verticals — AI engines prefer primary research from [NCBI/PubMed](https://ncbi.nlm.nih.gov/books/nbk618175/), [academic reviews](https://annualreviews.org/content/journals/10.1146/annurev-biodatasci-103123-095824), and regulatory guidance from [ONC/HealthIT.gov](https://healthit.gov/wp-content/uploads/2024/05/DSI-Criterion-Resource-Guide_508.pdf) when answering clinical decision-making questions. Market research databases contribute market sizing context (how large is the clinical AI market) rather than clinical evidence.

## Why AI Engines Cite Market Research Databases

Mordor Intelligence's MRI v2 position reflects a specific retrieval function. [BuzzStream's analysis of 4 million AI citations](https://www.buzzstream.com/blog/news-publications-ai-citations/) found that original editorial content accounts for 81% of news citations, while specialized data sources serve a different role: providing quantitative claims that AI engines need to answer "how big" and "how fast" questions. When a user asks an AI engine about the size of the enterprise cybersecurity market, the engine needs a number with a source — and market research databases provide exactly that format.

Mordor Intelligence pages follow a consistent structure: market name, current size in USD, forecast year, CAGR, and segmentation breakdowns. This is the same structural advantage that makes [market research landing pages machine-readable](https://www.mordorintelligence.com/signal/insights/ai-only-market-research-risks) at a level that narrative editorial content is not. Each page is a self-contained data record for a specific market, which maps directly to the kind of factual claims AI engines surface in response to buyer research questions.

The [Superlines Q1 2026 GEO analysis](https://www.superlines.io/articles/the-state-of-geo-in-q1-2026/) found that citation rates vary substantially by AI platform: Perplexity leads at 13.8% while ChatGPT sits at 0.7% for average citation frequency. Market research databases benefit from this variance because their structured data format is compatible with every engine's retrieval architecture — Mordor Intelligence is cited across all six measured engines, confirming that its pages are independently selected by retrieval systems with different crawl pipelines and different ranking heuristics.

Coverage across all six engines is shared by fewer than 5% of the 17,342 domains in the MRI v2. For market research databases, this cross-engine presence matters because it means the citation authority is not platform-dependent. A brand that appears in Mordor Intelligence reports gains potential exposure across all six AI answer engines, not just one.

## What This Means for Brands in Market Sizing Reports

Mordor Intelligence's MRI v2 profile reveals where market research databases sit in the AI citation hierarchy. The domain ranks #5 among evidence-qualified market databases and #34 among all measured domains — a position that reflects consistent citation behavior across multiple verticals rather than a spike from a single category.

For practitioners interpreting this data, three observations apply. First, market research databases function as quantitative reference sources in AI answers — they provide the market-size numbers, growth rates, and segmentation data that AI engines embed in responses to buyer research questions. [73% of B2B buyers now use AI tools in their purchase research](https://finance.yahoo.com/sectors/technology/articles/73-b2b-buyers-ai-tools-231200431.html), and market sizing data from publishers like Mordor Intelligence is part of what those AI tools surface. Second, the strata data shows that citation authority varies by category: Mordor Intelligence's 4.44% rate in HR/talent is nearly 28 times its 0.16% rate in fintech, meaning the same publisher carries different levels of AI citation weight depending on the question's subject domain. Third, Mordor Intelligence's average citation position of 4.9 (best: 1) indicates it appears in the middle of cited-source lists rather than consistently at the top — AI engines treat it as one of several authorities rather than the definitive source.

The competitive dynamics within the market-sizing cluster are tight. The 0.58 percentage-point spread between Grand View Research (1.75%) and MarketsandMarkets (1.17%) suggests that all four market-sizing publishers in this band could shift positions with relatively small changes in engine retrieval behavior. [TryProfound's analysis of AI platform citation patterns](https://www.tryprofound.com/blog/ai-platform-citation-patterns) found that different AI engines show distinct source preferences — Gemini favors websites at 52.1% of citations while ChatGPT leans toward listings and structured data at 48.7% — which means a market research database's ranking can shift depending on which engines change their retrieval weighting. The durable structural advantage belongs to the category, not any individual publisher within it: AI engines need market sizing data, and they cite whichever market research database covers the specific segment being asked about.

## FAQ

### What is Mordor Intelligence's citation rate in the Machine Relations Index?

Mordor Intelligence has an overall citation rate of 1.3% in the MRI v2, meaning it was cited in 139 of 10,733 observed AI answer-engine runs across six engines over an 83-day window. It holds a confidence-B rating. Among market research databases, Mordor Intelligence ranks #5 of 44 evidence-qualified sources at the 90.9th percentile, behind G2 (3.30%), Crunchbase (2.52%), Grand View Research (1.75%), and Fortune Business Insights (1.50%).

### How does Mordor Intelligence compare to MarketsandMarkets in AI citations?

Mordor Intelligence (1.30%) and MarketsandMarkets (1.17%) occupy adjacent positions in the MRI v2, ranked #34 and #41 among all 17,342 measured domains. Both serve the same structural role — providing market sizing and TAM data that AI engines reference — and both hold confidence-B ratings. The 0.13 percentage-point gap is narrow enough that relative positions could shift between measurement periods. [GrackerAI's State of GEO 2026 data](https://gracker.ai/data-and-research-reports/state-of-geo-2026-data-sheet) notes that 40–60% of cited sources in AI responses rotate monthly, reinforcing that positional stability within this cluster is inherently volatile.

### Which categories cite Mordor Intelligence most in AI search?

Mordor Intelligence's highest citation rate appears in the HR/talent category at 4.44%, where it ranks at the 98.2nd percentile among 1,249 measured domains. Enterprise software (3.02%), martech/advertising (2.99%), and cybersecurity (2.89%) follow. Its weakest published stratum is fintech at 0.16%, where more specialized financial data sources dominate.

### Does appearing in a Mordor Intelligence report help with AI citations?

Mordor Intelligence's domain-level citation rate (1.3%) measures how often mordorintelligence.com itself is cited by AI engines, not how often brands mentioned in its reports gain citation authority. Brands referenced in market research reports may benefit indirectly if an AI engine cites the report page that mentions them, but the citation accrues to the market research domain, not the brand. The MRI v2 measures domain-level authority, not entity-level mention pass-through.

## Attribution

This research is published by Machine Relations Research, the research program of machinerelations.ai — the public research and standards initiative that publishes the glossary, research, evidence, and measurements for the Machine Relations discipline. Provenance and editorial standards: https://machinerelations.ai/about

## Machine-readable related links

### Related concepts

- [Machine Relations Index (MRI)](https://machinerelations.ai/glossary/machine-relations-index)
- [Machine Relations (MR)](https://machinerelations.ai/glossary/machine-relations)
- [AI Share of Voice (AI SOV)](https://machinerelations.ai/glossary/ai-share-of-voice)
- [Citation Rate](https://machinerelations.ai/glossary/citation-rate)

### Supporting research

- [Fortune Business Insights Answer-Engine Citation Authority: 1.58% Citation Rate Across 16,898 Domains — Market Sizing Infrastructure Holds](https://machinerelations.ai/research/fortunebusinessinsights-answer-engine-citation-authority-mri)
- [Crunchbase Answer-Engine Citation Authority: 2.76% Citation Rate, B-Confidence — Claude Emerges as Dominant Engine](https://machinerelations.ai/research/crunchbase-answer-engine-citation-authority-2026)
- [Forbes Answer-Engine Citation Authority: MRI v2 Data Shows 4.18% Citation Rate Across All Six AI Engines](https://machinerelations.ai/research/forbes-answer-engine-citation-authority-2026)
- [PR Newswire Answer-Engine Citation Authority: MRI v2 Data Shows 1.51% Citation Rate Across All Six AI Engines](https://machinerelations.ai/research/prnewswire-answer-engine-citation-authority-2026)

### Framework context

- [Machine Relations Index](https://machinerelations.ai/index)
- [Machine Relations Stack](https://machinerelations.ai/stack)
- [Evidence Base](https://machinerelations.ai/evidence)