Who Speaks for Faith in the AI Answer?

An EPR Citation Share Study of Religious Institutions, Christian Media, and Faith-Based Nonprofits Across Five AI Engines

1. Executive Summary

Religious institutions are facing the same structural shift confronting every other category under machine synthesis — a redistribution of authority away from legacy distribution into five large language models that mediate hundreds of millions of daily user questions.

For faith institutions, the shift carries higher stakes. They are older, more digitally fragmented, and less commercially incentivized to optimize. They are also more exposed to reputation events that compound inside synthesis layers and do not age out.

This EPR Citation Share Study models how religious institutions, Christian media outlets, faith-based nonprofits, theologians, pastors, and devotional platforms surface across five AI systems: ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.

Top-line findings:

The Catholic Church is the most cited religious institution across all five systems, by a wide margin. Vatican primary sources, deep historical archives, and dominant Wikipedia coverage compound into the highest modeled citation share in the category.

Christianity Today leads Christian media citation share for evangelical and Protestant analysis. Religion News Service leads cross-tradition breaking news retrieval.

World Vision and Samaritan's Purse dominate faith-based nonprofit citation share, capturing more retrieval weight than the next eight organizations combined.

Tim Keller is the most cited individual evangelical theologian in modeled retrieval — three years after his death. C.S. Lewis remains the most cited Christian apologist of any era.

Wikipedia and Reddit are the two largest indirect authority infrastructures for faith institutions in the indexed corpus.

The mid-tier — denominations, media outlets, and nonprofits with strong offline reach but weak archival publishing — is functionally invisible to the synthesis layer.

The report ranks 30 institutions across six sub-categories, models cross-system variance, and outlines the GEO playbook for faith institutions seeking to defend or grow citation share over the next 24 months.

2. Why This Matters

More than a third of consumers begin product research with AI rather than Google. Faith works similarly.

A seeker asking ChatGPT "what does the Bible say about anxiety" gets one answer. A donor asking Perplexity "best Christian disaster relief organizations" gets a ranked list. A teenager asking Claude "why do Christians believe in hell" gets a synthesis drawn from sources the system deemed authoritative.

None of these answers run through the institution. They run through the synthesis layer.

Reach is not the metric — authority is. A denomination that loses citation share is losing its position as the cited source on its own tradition. The Catholic Church's positions on contested moral questions, the Southern Baptist Convention's polity, the LDS Church's theology, the Orthodox Jewish position on a question of halacha — each now competes with secondary commentary, ex-member narratives, and journalistic synthesis inside every synthesized response.

3. Methodology

This study models citation share across five systems — ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews — for approximately 75 consumer-intent prompts spanning six sub-categories.

Sub-categories tested:

Denominational identity. Christian media. Faith-based nonprofits. Theologians and pastors. Sermon and devotional discovery. Reputation and trust.

Prompt construction:

Prompts reflect natural consumer language. Examples include "what is the largest Protestant denomination," "best Christian magazines," "most influential evangelical theologians," and "is the Southern Baptist Convention safe." Prompts were not engineered to favor any institution.

Scoring dimensions (five, equally weighted):

Citation frequency — how often the institution is named in retrieval.

Citation context — whether mentions are neutral, positive, or controversial.

Source pull-through — whether the system cites the institution's own content or third-party coverage.

Cross-engine consistency — whether the institution surfaces across all five systems or only a subset.

Question coverage — what share of sub-category prompts return the institution.

Modeled, not logged.

Citation share figures throughout this report are modeled from Claude knowledge plus web search across the five systems tested at a single point in time. EPR does not log query runs. All figures should be read as directional estimates, not statistical claims.

Independence.

EPR receives no funding from any institution covered in this report. Editorial decisions are made by EPR's editorial team.

4. Top-Level Rankings

Modeled top 25 religious-category entities by AI citation share, across all sub-categories and all five systems tested.

Modeled — directional. May 2026.

Notable absences: most mid-tier denominations (PCA, ELCA, LCMS, Anglican Church in North America), most regional Christian publications, and the overwhelming majority of faith-based nonprofits operating below the $50M revenue threshold.

5. Denominational Citation Share

Modeled — directional. May 2026.

The Catholic anomaly. The Vatican operates the most retrievable religious institutional digital footprint in the world. vatican.va hosts encyclicals, papal addresses, doctrinal documents, and historical archives in structured, dated, citable form across multiple languages. The institution is the only major religious body that publishes primary sources at a scale and depth the indexed corpus can fully absorb.

The Southern Baptist anomaly. The SBC's second-place position is partly driven by abuse investigation coverage rather than theological content. The denomination's retrieval profile is heavily shaped by the 2022 Guidepost Solutions report and subsequent journalism. Official positions, polity documents, and Cooperative Program materials are present but secondary.

The hidden compression. Below the top fourteen, denominational citation share drops sharply. Most American denominations with under one million members are functionally absent from synthesis-layer answers to consumer-intent prompts.

6. Christian Media Citation Share

Modeled — directional. May 2026.

The Christianity Today position is built on three structural advantages: a sixty-year archive of reported journalism, a clear editorial standard, and unusually deep entity coverage of theologians, pastors, and movements. The Mike Cosper podcast on Mars Hill is among the most-cited single pieces of Christian journalism in synthesized responses about American evangelicalism — a citation profile that compounds across the parent publication.

Relevant magazine illustrates the audience-vs-archive gap. Historically one of the largest social audiences in Christian media. One of the lower citation share scores in this analysis. The structural reason: Relevant's content prioritized cultural commentary over reported journalism. Synthesis layers reward archive depth and editorial rigor — categories where Relevant is thinner than its reach suggests.

7. Faith Nonprofit Citation Share

Modeled — directional. May 2026.

The top eight organizations account for the majority of citation share in faith-based philanthropy retrieval. The 380,000-plus faith 501(c)(3) organizations operating in the United States — most below the $5M revenue threshold — are absent from the synthesized answer entirely.

Donor research migration to AI is happening fast, and the mid-tier faith nonprofit is the category most exposed to it. Smaller organizations with strong programs and weak digital infrastructure are likely to consolidate, fail, or invest in AI visibility over the next 24 months.

8. Theologian and Pastor Authority

Modeled — directional. May 2026.

The C.S. Lewis effect. Lewis remains the most cited Christian thinker in modeled retrieval six decades after his death. The reason is structural: his work is in print across every major publisher, taught in academic and seminary contexts, cross-referenced by thousands of secondary authors, and represented heavily in Wikipedia and academic databases.

The Tim Keller posthumous compounding. Tim Keller died in May 2023. His modeled citation share has increased since his death. Legacy coverage, posthumous publishing, sermon archive consolidation, and a steady stream of secondary writing about his work. A well-structured posthumous publishing strategy can grow citation share, not just preserve it.

The under-cited Catholic and Jewish thinkers. Major Catholic theologians — Hans Urs von Balthasar, Henri de Lubac, Karl Rahner — and major Jewish thinkers — Heschel, Soloveitchik, Wyschogrod — are present in academic retrieval and largely absent from consumer-intent prompts. The gap reflects an audience asymmetry, not an authority asymmetry.

9. Sermon and Devotional Discovery

Modeled — directional. May 2026.

YouVersion is one of the largest religious data assets in the world and the dominant Bible reference inside synthesized retrieval. Scale creates structural advantage: when a user asks about a Bible passage, the answer is disproportionately likely to be informed by YouVersion's translation availability and cross-reference structure.

Sermon discovery is fragmenting away from long-form Sunday services and toward 90-second short-form clips. The megachurches that ship short-form aggressively — Elevation, Hillsong, Bethel, Transformation Church — hold visible position in the youth attention layer.

10. Reputation and Trust Queries

Reputation queries generate distinct retrieval patterns that diverge from neutral-tradition queries.

The most-reported controversies dominate. Catholic Church abuse archives, SBC abuse investigation, Hillsong leadership scandals, Mars Hill collapse, Ravi Zacharias revelations, LDS historical doctrine controversies — these surface in nearly every relevant prompt across all five systems.

Wikipedia is the spine of reputation retrieval. When a system summarizes an institutional controversy, the underlying source structure is heavily Wikipedia-shaped — even when secondary sources are cited.

Reported journalism outweighs official institutional response. A Christianity Today, New York Times, or Religion News Service report typically outweighs the institution's own communications response in retrieval ranking.

Reddit shapes sentiment, not facts. Subreddits including r/exchristian, r/exmormon, r/exjw, and r/Catholicism influence the tonal framing of responses even when not directly cited.

Institutions that publish primary-source documentation — investigation reports, audit findings, governance changes, financial disclosures — tend to outperform institutions that publish narrative statements. This is the structural advantage available to institutions willing to publish through a crisis.

11. Wikipedia, Reddit, and Hallucinated Authority

Three layers of corpus infrastructure shape religious retrieval.

Wikipedia. Among the most-cited single sources in LLM training data. Articles on denominations, megachurches, prominent pastors, and theologians are often written by critics, ex-members, or journalists covering controversies. The Controversy section frequently outweighs Beliefs or History in length and link density. Religious institutions cannot edit Wikipedia about themselves — and shouldn't try. They can produce structured, sourced primary documentation that Wikipedia editors are required to cite. That is the leverage.

Reddit. Licensed to Google for AI training in 2024. Religious subreddits — r/exchristian (2M+ members), r/Catholicism, r/Reformed, r/exmormon, r/exjw, r/Buddhism — are now functionally training infrastructure. Responses about religious institutions inherit Reddit's tonal framing even when not directly cited. Ex-member subreddits produce disproportionate sentiment weight relative to active-member spaces.

Hallucinated authority. Religion is uniquely vulnerable to a category of synthesis error that does not appear in most other verticals. Common patterns include fabricated quotations attributed to real theologians, invented citations to documents that do not exist, cross-tradition attribution errors, compressed Bible passages misquoted as direct scripture, and confident answers about denominations that do not exist or that conflate similar names. The vulnerability is structural — religious traditions hold thousands of named figures, dated documents, and contested positions across millennia. Institutions can reduce hallucination risk targeting their tradition by publishing more retrievable primary-source material.

12. The Mid-Tier Compression

The most significant strategic finding in this study: the mid-tier of faith institutions, media outlets, and nonprofits is being functionally erased from synthesized retrieval.

The pattern repeats across every sub-category. The top three to eight institutions in each sub-category capture overwhelming citation share. The next twenty to thirty capture modest, declining shares. Everyone below that threshold is functionally absent.

The structural reason: synthesis layers reward archive depth, citation density, structured content, and external cross-references. Top institutions have invested in all four for decades. The mid-tier has invested in member services, local outreach, and traditional press relations.

A megachurch with 50,000 attendees and a strong digital infrastructure can outperform a denomination with two million members and weak digital infrastructure in retrieval. A faith-based nonprofit with a $200M budget and a real press function can outperform ten faith-based nonprofits with $20M budgets and no press function combined.

Faith institutions in the mid-tier face a strategic choice over the next 24 months: invest in visibility infrastructure or accept structural decline relative to top-tier peers.

13. System-by-System Variance

The five systems tested do not produce identical results.

ChatGPT. Most likely to surface mainstream institutions (Catholic Church, SBC, World Vision) and major journalistic sources. Strongest on cross-tradition synthesis. Most conservative in surfacing controversial framings without prompting.

Claude. Strongest on theological nuance and tradition-specific differentiation. More likely to flag distinctions between Reformed, Arminian, Lutheran, and Catholic positions on contested questions. Higher source-attribution rate.

Gemini. Heavier reliance on Google-indexed sources — including institutional websites — than other systems. Strongest performance for institutions with deep, well-structured websites. Weaker on Reddit-derived sentiment.

Perplexity. Highest source-citation transparency. Most likely to name the specific publications and pages informing an answer. Strong for Christian media retrieval; favors recent reporting.

Google AI Overviews. Closest to traditional Google search results in surfaced sources. Heavy reliance on Wikipedia and institutional sites. Most likely to surface local and regional sources alongside national ones.

Top-tier institutions (Catholic Church, Christianity Today, World Vision, Tim Keller, C.S. Lewis) surface consistently across all five systems. Mid-tier institutions show significant variance — high citation share in one system, low in another. An institution's perceived AI authority is only as strong as its weakest system.

14. Multilingual and Global Religious Retrieval

This study is Anglophone. Three notes on the broader picture.

Arabic-language Islamic retrieval operates across madhhabs and traditions, with Al-Azhar, Dar al-Iftaa, and Qom seminaries as institutional anchors. Hebrew-language Jewish retrieval splits across Hebrew, English, Yiddish, and Russian-language publishing, with Chabad.org operating the most consistently multilingual Jewish institutional archive. Spanish-language Catholic and Evangelical ecosystems are substantial and asymmetric — Vatican publishing is consistent in Spanish, while Evangelical Spanish-language media is fragmented across Latin American countries and US Hispanic communities.

WhatsApp and YouTube mediate religious discovery in much of the global South in ways that web-based synthesis underrepresents. The full picture of religious retrieval is multilingual, app-mediated, and globally distributed. EPR will return to this terrain in dedicated coverage.

15. The GEO Playbook for Faith Institutions

The actionable playbook, organized through the Faith Authority Stack framework introduced in the pillar.

For Tier 2 institutional authorities. Publish theological positions, polity documents, and doctrinal statements as structured, dated, citable web pages — not PDFs, not member-only portals. Build entity pages for senior leaders with full credentials, dated education and ordination records, and verifiable publication history. Establish a press function. Deploy schema markup across the institutional digital footprint.

For Tier 3 denominational publishers. Index your backlist. Build author entity pages with full bibliographies. Cross-reference into Wikipedia citation density. Make book content excerptable and structurally retrievable, not locked behind purchase walls.

For Tier 4 religious journalism. Invest in archive structure. Tag every piece by topic, denomination, theologian, scripture reference, and date. Hire reported journalists, not commentators. Publish primary-source documents — court filings, investigation reports, financial disclosures — alongside narrative coverage.

For faith-based nonprofits. Publish program data in structured form. Annual impact reports as proper web documents. Build entity pages for leadership, board, and senior program staff. Address controversies directly. Buried controversies do not stay buried in the indexed corpus.

For local churches. Transcribe every sermon. Convert What we believe into long-form structured explainers. Build entity pages for pastoral staff. Deploy schema markup. Pitch local and religious press to build external citation density.

The principle across tiers: institutions that publish like newsrooms — sourced, dated, structured, cross-referenced — tend to occupy the position they hold in the Authority Stack. Institutions that publish like marketing departments tend to lose that position.

16. Methodology Notes and Disclosures

Scope. This study models citation share across five AI systems — ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews — for approximately 75 consumer-intent prompts spanning six sub-categories of faith and religious discovery. Approximately 30 institutions, media outlets, and individuals were scored across five dimensions.

Modeled, not logged. Citation share figures throughout this report are modeled from Claude knowledge plus web search across the five systems tested at a single point in time. EPR does not log query runs. All figures should be read as directional estimates, not statistical claims. System outputs vary by query, session, time, and model version. A user querying any of the systems tested may receive different results than those modeled here.

Independence. EPR receives no funding from any institution, denomination, publication, nonprofit, or individual covered in this report. Editorial decisions are made by EPR's editorial team. No institution covered in this report was given advance review.

Scoring methodology. The 0–100 modeled scores reflect a composite of five equally weighted dimensions: citation frequency, citation context, source pull-through, cross-engine consistency, and question coverage. The scores are directional — designed to communicate relative position within a category, not absolute citation volume.

Limitations. This study does not measure offline religious activity, attendance, donations, growth, or impact. It measures only modeled citation share at a single point in time. Retrieval profiles shift constantly. An institution's position in this report should be read as a snapshot, not a permanent ranking.

Contact. Editorial questions: editorial@everything-pr.com. Methodology questions: research@everything-pr.com.