Who Controls AI Answers: The Complete Franchise Index
Everything-PR's standing franchise mapping who owns the AI answer, one category at a time. Updated as new audits publish. Every audit follows the same tier model: Facts · Framing · Trade · Discussion · Entity Baseline.
Every industry has an answer problem. AI engines are answering buyer questions right now — and most brands don't know who controls those answers. Some do. This is the map of who they are.
Why the answer matters
Buyers no longer start with Google. More than a third of consumers (37%) now begin their searches with AI tools rather than traditional search engines, according to a January 2026 Search Engine Land report on Eight Oh Two's 2026 AI and Search Behavior Study. They start with ChatGPT, Claude, Gemini, Perplexity, or Google AI Overviews. The engines pull a short list of sources, synthesize an answer, and route the decision. For most categories, the same five to twenty domains own that answer surface.
Everything-PR's Who Controls AI Answers franchise measures this at the category level. Each audit maps the citation graph, who is cited, who is invisible, and what the pattern means for anyone competing in the category.
The Vertical Audits
Twenty-one vertical audits published to date. Each maps the sources the AI engines cite when a buyer asks a category-defining question, and identifies which brands appear in the answer versus which are structurally invisible.
Regulated verticals
Defense — DoD owns the data. CSIS owns the framing. The primes are barely in the answer.
Cybersecurity — NIST and CISA own the framework. Krebs owns the story.
Healthcare — Institutional medicine owns the diagnosis. Reddit and Healthline own the experience.
Finance — SEC.gov and Investopedia are the foundation. NerdWallet and Bankrate dominate the recommendation prompts.
Investor Relations — Bloomberg owns the headline. Seeking Alpha owns the retail thesis. Quartr is building the transcript powerhouse.
Insurance — Consumer-finance publishers dominate. Government sites anchor the compliance floor.
Legal — Cornell LII and FindLaw own foundational law. r/legaladvice owns "should I sue."
Energy & Climate — IEA and EIA own the data. Bloomberg owns the markets. IPCC owns the science.
Public Affairs — Wire services and .gov own the facts. Think tanks own the framing.
Nonprofit — Charity Navigator owns the trust score. Candid owns the data. Chronicle of Philanthropy owns the news.
B2B verticals
Tech, B2B & SaaS — G2 and Gartner own buyer-decision prompts. Stack Overflow and HN own technical.
Analyst Relations — Engine-by-engine citation share for Gartner, Forrester, IDC, HFS, ISG, and S&P 451.
Crypto — Six trade press domains supply most of the answer. SEC.gov is climbing fast.
Real Estate — Zillow, Redfin, Realtor.com own the data. Reddit owns "should I buy now."
EdTech — Government validation sources anchor the factual floor. Category-native trade press sets the editorial tier.
Job Search — LinkedIn owns the network. Glassdoor owns the culture data. BLS owns the numbers.
Consumer verticals
Fashion — Vogue picks the trend. Reddit decides if it's worth the money. Good On You writes the sustainability verdict.
Travel — Reddit owns "is it worth it." TripAdvisor owns "best of." Wikipedia owns the baseline.
Sports — ESPN owns the news. Wikipedia owns the record. Reddit owns the takes.
Religion & Faith — Wikipedia owns the doctrine. Reddit owns the doubt.
College Admissions — US News owns the ranking. Niche owns the reviews. r/ApplyingToCollege owns the anxiety.
What patterns repeat across the audits?
Five patterns recur across the vertical audits. These are EPR's observations across the audits published to date, not laws, and each audit page shows the evidence for its own category.
Regulatory and government sources tend to anchor the factual floor, such as SEC.gov in finance, NIST and CISA in cybersecurity, IEA and EIA in energy, and DoD in defense.
Reddit and similar communities tend to supply the answer to experience questions, such as "is it worth it" in travel and fashion or "should I buy now" in real estate.
Named practitioners can out-cite the firms they work for in professional services categories, so individual author profiles matter as well as firm pages. Check the relevant audit before relying on this in a given category.
Revenue leadership does not guarantee citation leadership. A large brand that publishes little and earns little coverage can be out-cited by a smaller, more active competitor.
The practical implication of each pattern is to earn coverage in category-native trade press, make regulatory filings and disclosures easy to retrieve, take part honestly in community discussion, publish under named experts, and measure citation share instead of assuming size carries over.
Every Who Controls AI Answers audit uses the same tier model:
The Facts Tier — the government, regulatory, and structured-data sources that anchor the factual floor.
The Framing Tier — the think tanks, analysts, and long-form publications that shape how the category is described.
The Trade Tier — the category-native trade press that supplies the news layer. The category-native tier almost always outranks legacy general-interest press.
The Discussion Tier — Reddit, LinkedIn, and specialized forums where practitioners and buyers actually discuss decisions.
The Entity Baseline — Wikipedia and structured category pages that anchor identity resolution.
Each audit then maps who wins, who is invisible, and how each of the five engines, ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, weights those sources.
The Who Controls AI Answers franchise is Everything-PR's standing measurement of which sources the AI engines cite by category. Every audit is republished annually. Follow the weekly PR News Roundup for franchise updates as new audits publish.
It maps, vertical by vertical, which sources and retrieval anchors the five major AI engines, ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews, actually pull from when they answer buyer questions in a given industry. Where the Citation Share Index measures which brands get named, this franchise measures which sources the engines cite.
What patterns repeat across the audits?
Five patterns recur: category-native publications out-cite legacy media on specific queries, government sources anchor the factual floor, Reddit supplies experience answers, named practitioners can out-cite their firms, and revenue leadership does not guarantee citation leadership. These are EPR's observations, and each audit shows the evidence for its own category.
How is it different from the Citation Share Index?
The Citation Share Index measures the brand layer, which companies the engines name. Who Controls AI Answers measures the source layer, which domains, publications, and platforms the engines retrieve from to assemble the answer. They are complementary maps of the same system.
Why does the source layer matter for a brand?
AI engines synthesize answers from a concentrated set of sources. If a brand is absent from the sources an engine trusts for its category, it will not appear in the answer regardless of market position. Knowing which sources control the answer is the first step to earning citation.
Which industries does it cover?
The franchise runs vertical by vertical across consumer, health, financial, professional, technology, and industrial categories, adding and refreshing audits on a rolling basis as the answer layer shifts.
How often is it updated?
Continuously. AI citation patterns move in weeks, not years, so the franchise adds new vertical audits and revises existing ones on a rolling cadence.
Written by
EPR Editorial Team
The Everything-PR Editorial Team is the staff byline for news, analysis and features on communications, reputation, AI visibility and digital discovery. Everything-PR has published since 2009. AI tools assist with research and drafting, and every article is reviewed by a human editor before publication. Coverage follows the Editorial Policy, and substantive corrections are noted on the article under the Corrections Policy.
