{"id":578,"slug":"profound-680m-citations-perplexity-citation-behavior","title":"Profound (Aug 2024-Jun 2025, 680M citations): only 11% domain overlap between ChatGPT and Perplexity; 13.7% between AI Overviews and AI Mode","kind":"reference","scope":"business","status":"current","audiences":["claude-code","candid-team"],"topics":["ai-citation","measurement"],"reference_body":"**Claim:** Profound's analysis of **680 million citations** (Aug 2024 – June 2025):\n\n- *\"Only **11% of domains** are cited by both ChatGPT and Perplexity\"*\n- Google AI Overviews and Google AI Mode cite the same URLs only **13.7%** of the time\n\n**Source:** <https://www.tryprofound.com/blog/ai-platform-citation-patterns>\n\n**Confidence:** Verified.\n\n**Companion citation behavior data (Qwairy Q3 2025):**\n- Perplexity averages **21.87 citations per response**\n- ChatGPT averages **7.92** citations per response\n- <https://www.qwairy.co/blog/provider-citation-behavior-q3-2025>\n\n**Companion freshness finding (Whitehat SEO 2026):**\n- *\"Content updated within 30 days earns 3.2× more AI citations across platforms\"*\n- Perplexity is the most freshness-sensitive (82% citation rate for 30-day content vs 37% for older)\n- <https://whitehat-seo.co.uk/blog/ai-engines-comparison-citations>\n\n**The strategic read:** AI citation rewards **proprietary data on top of public sources**. Perplexity in particular favors *\"visible statistics and proprietary data, named sources with verifiable methodology\"* (Leapd 2026). A normalized open-data dashboard surfaced as a public page hits all three — see [[rule-build-on-official-open-data-not-scraping]].","rationale_body":null,"metadata":null,"links":{"outgoing":[{"slug":"seer-content-recency-2025","title":"Seer Interactive (Oct 2025): 65% of AI bot hits target content under 1 year old; 89% under 3 years","kind":"reference","scope":"business","link_type":"relates-to"},{"slug":"wikipedia-top-cited-domain-ai-mode-2026","title":"Wikipedia is the #1 cited domain in Google AI Mode (11.22%); YouTube #2 at 9.51%","kind":"reference","scope":"business","link_type":"relates-to"}],"incoming":[{"slug":"rule-build-on-official-open-data-not-scraping","title":"RULE: Build Candid client data products on official open-data feeds — never on scraped sources","kind":"rule","scope":"business","link_type":"depends-on"},{"slug":"rule-attribution-discipline-on-every-data-product","title":"RULE: Every Candid data product carries source attribution per the [[attribution-checklist-by-source]]. Mis-attribution terminates the licence.","kind":"rule","scope":"business","link_type":"depends-on"},{"slug":"research-brief-public-data-private-moat","title":"Research brief: Public data as a private moat — building proprietary intelligence from government open data (piece 11 of 15)","kind":"reference","scope":"business","link_type":"relates-to"},{"slug":"newton-platformer-retreat-from-daily-april-2026","title":"Casey Newton / Platformer retreat from daily cadence (April 2026): \"More scoops, less aggregation and analysis\" — AI commoditizes daily synthesis","kind":"reference","scope":"business","link_type":"relates-to"}]},"created_at":"2026-05-22T20:32:45.247Z","updated_at":"2026-05-22T20:32:45.247Z"}