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.
Grand View Research ranks #4 among 341 market databases in the Machine Relations Index, with 119 citations across 6 AI engines in 30 days. This analysis examines what makes market sizing reports structurally citation-eligible and what operators can extract from Grand View Research's source authority profile.
PwC ranks #3 among 299 analyst and consulting sources in the Machine Relations Index, with 76 citations across 6 AI engines in 30 days. This analysis examines how consulting firms earn citation authority in AI retrieval systems and what PwC's skewed engine distribution reveals about enterprise deployment queries.
Machine Relations Index analysis of Fortune Business Insights' citation authority across six AI answer engines. Fortune Business Insights ranks in the 99.4th percentile of 6,911 monitored domains with 108 citations across 10 verticals in 30 days.
Machine Relations Index analysis of Gartner's citation authority across AI answer engines. Gartner ranks 8th out of 6,911 monitored domains with 253 citations in 30 days, the highest weighted authority among analyst research firms — despite zero Perplexity citations.
Deloitte.com ranks #2 among 295 analyst research sources in the Machine Relations Index, with 148 citations across 6 AI engines in 30 days. This analysis examines what makes Deloitte structurally citation-eligible and what operators can learn from its source authority profile.
Machine Relations Index analysis of G2's citation authority across six AI answer engines. G2 ranks in the 99.7th percentile of 6,804 monitored domains with 198 citations across 10 verticals in 30 days.
Crunchbase ranks #2 among 331 market databases in the Machine Relations Index, with 275 citations across 6 AI engines in 30 days. This analysis breaks down what makes Crunchbase citation-eligible and what operators can learn from its source authority profile.
A structured measurement framework for tracking AI search visibility across ChatGPT, Perplexity, Gemini, and Google AI Overviews. Covers the three-tier model (visibility, citation, absorption), statistical sampling methodology, platform-specific tracking, and the metrics that replace traditional SEO reporting in AI-first search.
AI search engines use external proof systems — third-party validation, cross-domain corroboration, and independent verification — as structural inputs when selecting which sources to cite. Research data from 55,936 queries and 53,090 URLs shows how external evidence architecture determines citation outcomes.
Core updates act as stress tests for citation architecture. Research across 53,090 URLs and 55,936 queries reveals why structurally weak content loses AI citability during ranking volatility — and what operators can measure before the next update hits.
Entity chain architecture is the structural blueprint for building cross-domain proof networks that AI search engines verify and cite. This research breaks down the layers, components, verification mechanisms, and implementation sequence that separate cited brands from invisible ones.
A research-backed audit framework for evaluating whether brand content is structured for citation by ChatGPT, Perplexity, Gemini, and Google AI Overviews. Covers the five audit layers, scoring methodology, and the evidence that separates cited brands from invisible ones.
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.