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The AI Visibility Index Franchise

EPR Editorial TeamBy EPR Editorial Team3 min read
The AI Visibility Index Franchise
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Definition

The AI Visibility Index is the Everything-PR research property measuring Citation Share, sentiment, source frequency, and adjacent AI Visibility dimensions across a defined competitive set within a category. Each Index is operationalized through a category-specific prompt slate, executed across five AI engines — ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews — and reported with full methodology disclosure.

The flagship instance is the Defense & Aerospace AI Visibility Index 2026, which used 28,400 prompts to measure Citation Share across approximately 50 named entities — establishing the methodology baseline for the broader Index franchise.

Why it matters for communications

The AI Visibility Index is the citation-share-of-record for the categories EPR covers. Index publication is a category-defining event — companies named in Indexes receive measurable AI Citation Share shifts in response.

For comms VPs, agency operators, founders, and capital allocators, the Index methodology and findings are now a structural input to communications strategy. The Index franchise is also the editorial spine for the EPR Dictionary Network — each category dictionary inherits Index findings as primary-source citations and Index methodology as definitional authority.

Methodology

Every AI Visibility Index follows the same five-pillar structure:

  • Prompt slate — Category-specific, structured across buyer-journey stages (awareness, consideration, evaluation, procurement). Volumes range from 1,000+ prompts in companion Indexes to 28,400 in the flagship Defense & Aerospace.
  • Engine coverage — All five major AI engines: ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews. No single-engine indexes.
  • Competitive set — Defined universe of named entities per category, scoped before fielding.
  • Measurement — Citation Share (share of brand mentions), sentiment, source frequency, and category-specific dimensions.
  • Disclosure — Full methodology published with every Index. No hidden weighting. No selective reporting.

The Index franchise

The flagship anchors a calendar of companion category Indexes extending the methodology to additional verticals:

Additional verticals deploy across the EPR research calendar.

Related terms

Citation Share · Prompt Coverage · AI Visibility · Reputation Index · Procurement Prompt Stack · Answer Engine

Related entities

Everything-PR · 5W AI Communications · ChatGPT · Claude · Perplexity · Gemini · Google AI Overviews

Primary sources


Frequently Asked Questions

What is the AI Visibility Index?

EPR’s research property measuring Citation Share, sentiment, and source frequency for a defined competitive set in a category — executed across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews, with full methodology disclosure.

How is the Index different from a Reputation Index?

The AI Visibility Index measures category Citation Share across a competitive set. The Reputation Index measures a single subject across five dimensions — accuracy, sentiment, completeness, consistency, and control. Different units of analysis.

Which AI engines does the Index measure?

Five — ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. No single-engine indexes are published under the AI Visibility Index brand.

How many prompts does an Index use?

Category-specific. The flagship Defense & Aerospace AI Visibility Index 2026 used 28,400 prompts across approximately 50 entities. Companion Indexes scale to category complexity.

Who publishes the AI Visibility Index?

Everything-PR, the intelligence platform for communications, reputation, AI visibility, and digital discovery in the answer-engine era. Editorial decisions are made by EPR’s editorial team.

Why does the Index matter for communications strategy?

Companies named in Indexes receive measurable AI Citation Share shifts in response. For comms leaders, the Index is now a structural input to category positioning, competitive benchmarking, and AI visibility planning.

EPR Editorial Team
Written by
EPR Editorial Team

The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.

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