A new research report from AI‑communications firm 5W reveals that earned media has become the dominant source for AI‑generated citations, fundamentally reshaping how enterprises achieve visibility in generative‑AI search results.
Study Overview
On May 15, 2026, 5W released AI and the Israeli Brand, a data‑driven analysis that aggregates more than 90 metrics on generative‑AI adoption in Israel and globally. The study draws on Muck Rack’s audit of over one million AI prompts, university research, and web‑traffic data to quantify a trend that could redefine B2B marketing economics. Key figures include:
- 85.5 % of AI citations reference earned‑media sources.
- AI engines cite earned media roughly five times more often than brand‑owned sites (University of Toronto).
- Brands appearing on four or more third‑party platforms are 2.8 × more likely to be quoted in ChatGPT responses.
- AI‑search visitor conversion rates sit at 14.2 % versus 2.8 % for traditional Google search, a five‑fold efficiency gain.
The report also notes that AI‑driven traffic to U.S. retailers grew 4,700 % year‑over‑year as of July 2025, and that 47 % of global brands still lack a Generative Engine Optimization (GEO) strategy.
Why Earned Media Matters for AI
Historically, earned media—press releases, analyst briefings, thought‑leadership articles—served the purpose of building reputation and backlinks. In the era of large language models (LLMs) such as ChatGPT, Claude, Gemini, and Perplexity, those same assets now act as the primary “training fuel” for AI citation. When a user asks an LLM for product recommendations or market insights, the model surfaces information it deems trustworthy, and that trust is increasingly anchored in third‑party editorial content.
Gartner predicts that by 2027, 70 % of enterprise search results will be answered by AI rather than conventional keyword search, underscoring the urgency for marketers to secure AI‑friendly earned placements. Forrester’s 2025 forecast estimates that AI‑generated content will account for 30 % of B2B marketing spend, further amplifying the ROI of high‑quality press coverage.
Implications for Enterprise Marketing Teams
The 5W study reframes public relations from a brand‑awareness function to a core component of AI visibility. Marketing leaders must now treat every press mention, Wikipedia entry, and analyst citation as a potential AI retrieval point. Practical steps include:
- Diversify Publication Portfolio – Distributing the same story across multiple reputable outlets can boost AI citations by up to 325 %.
- Prioritize GEO – Optimizing content for generative‑AI indexing (keyword phrasing, structured data, citation‑rich narratives) mirrors SEO best practices for traditional search.
- Integrate AI Metrics – Track AI‑citation volume alongside impressions and click‑through rates to gauge the effectiveness of earned media in the AI funnel.
Brands that fail to adapt risk a “visibility gap” where AI assistants default to competitors’ content, even if the brand maintains a strong owned‑media presence.
Competitive Landscape
The shift mirrors broader industry movements. Microsoft’s partnership with OpenAI has already integrated Bing’s editorial content into its AI answers, while Google’s “AI Overviews” now surface news articles alongside its Knowledge Graph. Amazon’s Alexa Shopping feeds similarly prioritize third‑party reviews and press releases. In contrast, many enterprise‑focused platforms—Salesforce’s Einstein and Adobe’s Experience Cloud—still rely heavily on owned‑media data, potentially limiting their AI citation footprint.
5W’s findings suggest that firms that embed earned‑media strategies into their AI pipelines will enjoy a competitive edge comparable to early adopters of programmatic advertising in the 2010s.
Industry Context and Future Direction
Israel’s digital ad market, projected at $1.58 bn in 2025 and $1.91 bn by 2028, offers a microcosm of the global transition. While Google captures roughly 46 % of Israeli ad spend and Meta 15 %, the country’s private‑sector GEO allocation lags behind North American benchmarks. This misalignment indicates a structural opportunity for Israeli SaaS firms—many of which already generate $300 M–$1.1 bn in revenue—to leapfrog competitors by mastering AI‑ready earned media.
Looking ahead, the convergence of AI citation, GEO, and traditional PR is likely to spawn new measurement frameworks. Expect to see AI‑visibility dashboards that combine citation counts, conversion lift, and sentiment analysis, much like today’s SEO tools.
Market Landscape
The broader market is moving toward an “AI‑first” content hierarchy. IDC projects that AI‑driven marketing technology will command $120 bn of spend by 2028, outpacing traditional digital advertising growth. Companies that already operate sophisticated PR and media‑relations functions—especially those with global analyst coverage—are positioned to capture a disproportionate share of AI‑derived traffic.
At the same time, the rise of AI citation intensifies the relevance of data‑privacy regulations. As LLMs ingest more third‑party content, compliance teams will need to ensure that disclosed information aligns with GDPR, CCPA, and emerging AI‑specific guidelines. (data‑privacy regulations)
Top Insights
- Earned media now drives the majority of AI citations – 85.5 % of AI prompts reference third‑party sources, making PR a direct revenue lever.
- AI‑search conversion outpaces Google by five‑fold – 14.2 % vs. 2.8 % conversion rates signal a new efficiency frontier for marketers.
- Multi‑platform distribution multiplies AI visibility – Publishing on four or more outlets raises citation likelihood by 2.8 ×.
- GEO gaps present untapped upside – Nearly half of brands lack a generative‑engine optimisation strategy, a low‑hanging fruit for early adopters.
- Enterprise impact mirrors historic SEO shift – Companies that align PR with AI indexing will capture market share similar to the early SEO boom.
