Data & Statistics
Named-source data on AI search adoption, citation rates, and industry disruption — each stat attributed to its original study.
Original research from AuthorityTech on the Machine Relations category.
PR in AI means public relations for AI search — earning third-party media coverage and authoritative citations that AI engines like ChatGPT, Perplexity, and Google AI Mode use when deciding which brands to include in generated answers. Earned media accounts for 82–89% of AI citations.
Multi-source CTR data shows AI Overviews cut organic click-through rates by 18–61%. Brands cited inside AI-generated answers recover up to 39% of lost CTR. Entity mass is the structural variable.
Vendor-owned content earns 18.8% of all AI engine citations — more than editorial media, market databases, or analyst research. MRI data across 6,203 domains and six engines reveals which first-party sources get cited and why.
Mordor Intelligence ranks #14 among 348 market databases in the Machine Relations Index, with 64 citations across 6 AI engines in 30 days. June 2026 data reveals a market-sizing specialist earning Elite status through structured forecast data that AI engines retrieve for infrastructure and enterprise technology queries — despite lower brand recognition than Gartner, Grand View Research, or Fortune Business Insights.
At least five competing AI citation indices now rank publisher authority — and they disagree by up to 8.2x on the same domain. This analysis compares methodologies, explains why rankings diverge, and identifies which measurement dimensions matter for different business decisions.
Aggregate AI share of voice treats six different citation engines as one. New data shows 77% of brands are cited by only one engine and cross-platform overlap sits at 11%. Per-engine measurement is the minimum viable approach — here is the evidence and the framework.
Across three independent 2026 studies spanning thousands of queries, fewer than 15% of cited sources overlap across all major AI engines — and only 4.4% of domains are cited by all four. The structural reasons citation sets diverge, and what it means for brand visibility strategy.
Analysis of 25,316 answer engine events across six AI platforms reveals systematic source selection patterns. Market databases and analyst research firms earn disproportionate citations through structural factors — source role, cross-vertical reach, and temporal consistency — not editorial quality alone.
Empirical research shows less than 20% overlap between Google results and AI engine citations. This analysis explains the structural causes — crawl authority vs citation authority — and what the divergence means for brand visibility strategy.
Agentic AI search shifts source evaluation from passive retrieval to autonomous browsing and citation decisions. Cross-platform data shows citation rates varying 46x between engines, with each AI agent exhibiting distinct editorial preferences. Analysis of the structural properties that determine which sources AI agents select.
Forbes.com ranks #3 among 285 analyst and commentary sources in the Machine Relations Index, with 86 citations across 5 AI engines in 30 days. Forbes is the first Elite-tier source in the MRI series with zero Claude citations — while Google AI Mode (45.3%) and Gemini (37.2%) account for 82.6% of its total. Its 55 unique citation-triggering queries give Forbes the highest query diversity score in the MRI series, revealing how editorial volume and domain authority earn citations differently than institutional research or structured data.
Publishing more pages does not increase AI citation rates. Research across 16 sources shows that content volume dilutes entity clarity, raises internal similarity, and suppresses the source-confidence signals that AI engines use to select citations.
How quickly answer engines are replacing traditional search as the first step in commercial discovery.
810M
ChatGPT monthly active users (2026)
OpenAI investor presentations
750M
Google Gemini monthly active users
Alphabet earnings calls
9.7×
AI search traffic year-over-year growth
Similarweb, Cloudflare Radar
−50%
Gartner-predicted traditional search decline by 2028
Gartner Predicts 2024
Fresh Evidence
What independent studies show about where AI systems source their citations.
82–89%
of AI citations come from earned media, not brand-owned content
Muck Rack Generative Pulse (Dec 2025); Fullintel + UConn IPRRC (Feb 2026)
200×
faster AI visibility for brands publishing 12+ citation-optimized pieces per month
AuthorityTech client data, 2024–2025
34%
of AI citations in a given category go to a single publisher
AuthorityTech citation analysis, 2025
Fresh Evidence
Where legacy PR firms are losing revenue and where the money is moving as AI reshapes discovery.
−8.1%
Edelman US revenue decline (2025) — third consecutive year
PRWeek
4–5%
Publicis growth driven by AI/data capabilities
Publicis investor presentations
76%
of PR professionals now using AI tools daily
PRCA AI Adoption Survey 2025
83%
of Google queries are now zero-click
SparkToro Zero-Click Study
Fresh Evidence
AuthorityTech has run earned media for 27 unicorn startups since 2018. The research on this page is grounded in that client work.
8 years
in business
Founded 2018 by Jaxon Parrott and Christian Lehman
27
unicorn clients
Venture-backed startups valued at $1B+
~200
startups served
Fintech, AI/ML, SaaS, cybersecurity, enterprise
1,000+
Tier 1 placements
Forbes, TechCrunch, WSJ, Entrepreneur, Inc.
99.9%
delivery rate
1 refund in 8 years. Results or refund.
Every independent study on the topic lands on the same number: 82–89% of what AI systems cite is earned media. Not press releases. Not brand blogs. Earned coverage in publications the model already trusts.
ChatGPT now handles over 2 billion queries daily (OpenAI, 2025). Gartner projects traditional search will decline 25% by 2026. The brands that secure citation positions in this window will be difficult to displace — because AI citation compounds the way domain authority once did.