AI Search Exposed: Findings from Our AI Visibility Study
AI Search Exposed: Findings from Our AI Visibility Study
AI search cites and ranks sources by community trust and factual structure, not by traditional domain authority. This shifts where brands must build credibility and how they publish proof.
Across five sectors we tested (finance, digital tech, business services, consumer electronics, fashion), ChatGPT and Google AI Mode cite Reddit and Wikipedia far more often than official brand pages.
Reddit appears in 183.68% of ChatGPT finance answers. Wikipedia reaches 173.08% citation frequency in digital tech. Consumer electronics has the tightest brand concentration, while B2B shows wide brand diversity.
Only 10–25% of most-mentioned brands also earn top source citations.
Treat AI search as two problems: get mentioned in comparisons and get cited for facts. Build community presence and publish neutral, verifiable specs that AIs can quote.
Quick Overview Summary
- Community beats marketing: Reddit and Wikipedia outrank brand sites in AI citations across all five sectors.
- Finance shock: Reddit appears in 176.89% of ChatGPT finance queries, outpacing YMYL-favored expert sites.
- Tech pattern: Wikipedia hits 167.08% citation frequency in digital technology answers.
- Concentration split: Consumer electronics mentions ~1–2 brands per query, while business services mention ~5.
- Dual track: Only 10-25% of most-mentioned brands also rank as top cited sources. Build for mentions and for citations.
What we found in study and how to read it
We asked AI systems sector-specific prompts that mirror common buyer and product research. We logged which sources each AI cited, how often each brand was mentioned, and how many unique brands appeared per answer. Treat “citation frequency over 100%” as “more than one citation per prompt on average.”
Four discoveries we found to rewrite practical visibility strategy
1) Community content outranks official marketing in AI citations
AI models favor community-edited and community-validated sources. In four of five sectors, Wikipedia ranks #1 or #2 as a cited source. In digital technology, Wikipedia is cited 167.08% per prompt on average. G2 shows up as a top review source (e.g., 20.04% in digital tech on ChatGPT).
Brand .com pages rarely lead the source list. Even flagship brands lose to community pages: Microsoft blog posts lose to Reddit threads about Microsoft products, and Apple marketing pages lose to Wikipedia spec tables for model facts.
Why this happens: AIs seek concise, neutral, and checkable statements. Community sources present structured facts, consistent terminology, and stable IDs that models can reuse with low risk.
What to do next (community > marketing):
- Rewrite core product pages in neutral, verifiable language. Replace claims with numbers, specs, and tables.
- Update your Wikipedia entry with model names, versions, dates, performance, and pricing bands that third parties can confirm.
- Engage where AIs pull consensus: Wikipedia talk pages, Reddit, G2, and focused industry forums.
2) Reddit outranks industry experts in professional AI search citations
In finance, ChatGPT cites Reddit in 183.68% of prompts. That is nearly two Reddit references per question on average in a YMYL category. Google AI Mode skews to Bankrate (87.71%) and NerdWallet (74.17%), but ChatGPT treats Reddit threads as primary context. The same pattern repeats in business services (141.26%), digital technology (111.68%), and consumer electronics (127.31%). Wikipedia sits second across multiple verticals (e.g., 147.93% in business services, 165.08% in technology).
Why this matters: Community discussions encode user language, edge cases, and lived tradeoffs. AIs quote that texture when answering “which is best” questions.
What to do next (community monitoring and replies):
- Track your brand’s Reddit footprint by subreddit, thread, and trend lines.
- Join high-impact subs first. If r/SEO drives 50 mentions and r/marketing only 5, start with r/SEO.
- Use prompts and themes from “Top Threads” and “New Threads” lists to guide expert replies that AIs can later cite.
3) Big Tech dominates consumer AI answers; B2B remains open
Brand diversity shows how many different companies an AI mentions per answer.
- Consumer electronics: low diversity (1.27 ChatGPT, 1.38 Google AI Mode). Answers mention ~1–2 brands. Share of voice concentrates with three firms: Samsung 59.08%, Apple 47.84%, Google 34.51%.
- Business services: high diversity (5.72 ChatGPT, 5.60 Google AI Mode). Nearly five brands appear per answer. Leaders: Google 24.22%, Zoho 12.70%, HubSpot 11.40%.
- Finance: lower diversity (2.59 ChatGPT) with an established hierarchy. Fashion and digital tech sit between.
Implication: In consumer electronics, win a category niche. Example: Garmin reaches 31.15% share by owning fitness wearables and GPS, not phones. In B2B, the open field rewards specialization, long-tail queries, and workflow depth.
What to do next (match your market shape):
- Consumer electronics: Own a use case with clear specs and third-party tests. Publish comparison tables that AIs can lift.
- B2B: Create narrow “job-to-be-done” pages with exact integrations, setup steps, SLAs, and sample templates.
4) Most-mentioned brands fail to become trusted AI sources
Only 6–27% of the most-mentioned brands also rank among top cited sources. Finance shows the best overlap (22–27 brands). Fashion shows the worst on ChatGPT (only three brands do both). Even strong players split: Zapier ranks #1 as a cited source in digital tech but only #40 in overall brand mentions.
Why this split exists:
- Comparisons: AIs echo Reddit threads and review sites.
- Factual answers: AIs quote structured pages with specs, feature matrices, and prices.
What to do next (two tracks):
Build for mentions and for citations as separate goals. Tune sentiment and presence on Reddit and review sites to drive mentions. Publish fact tables, version history, and transparent pricing to earn citations.
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