AI search just got a lot more “media-native.” Getty Images announced a multi-year display agreement with OpenAI that brings Getty’s licensed visual libraries into ChatGPT’s search and discovery experiences.

On the surface, this looks like a straightforward content partnership. Strategically, it’s a signal that the next phase of AI search will be defined by rights-cleared, attributable, high-trust sources—not just whoever is easiest for a model to summarize.

Getty’s CEO Craig Peters framed the core value proposition clearly: “High-quality, licensed visual content makes AI-powered search and discovery more useful and more trustworthy. This partnership with OpenAI reflects a shared recognition of that, and together we will deliver richer visual experiences to ChatGPT users,” according to Getty’s announcement.

What OpenAI is really buying (and what it isn’t)

Getty’s announcement describes this as a display partnership that will surface Getty’s licensed content across ChatGPT search and discovery, specifically to “enhanc[e] the richness of visual responses.” That distinction matters.

  • Display is distribution. This deal is about putting Getty’s assets inside an AI answer interface where millions of users start their research journeys.
  • Trust becomes a product feature. A licensed library is a differentiator when regulators, publishers, and consumers are asking “where did this come from?”
  • Training rights are not the headline. Getty’s announcement focuses on use “for display within ChatGPT.” It does not describe model-training permissions.

For marketers, the most important takeaway is not whether a model trained on a dataset; it’s that AI results pages are turning into a new kind of SERP—one where the “inventory” includes media, citations, and brand entities, not just blue links.

Why this changes the playbook for AI search visibility

AI search experiences are converging on a simple principle: answers are only as credible as their underlying sources. In text, that means citations. In visuals, it means provenance and licensing.

If ChatGPT can reliably show rights-cleared visuals with clear attribution, users get a better experience—and OpenAI reduces risk. But the downstream shift is bigger: distribution will increasingly favor partners and publishers that can offer verifiable content at scale.

That creates a new competitive layer for brands and agencies:

  • Earn “source status.” Not just rankings—becoming a referenced, trusted dataset or publication that AI systems prefer when assembling answers.
  • Design for attribution. AI interfaces need clean metadata, clear ownership, and context that survives summarization.
  • Invest in assets AI can safely reuse. Original visuals, charts, diagrams, product imagery, and licensed creative libraries become strategic inputs to discovery.

What business owners should do now (practical moves)

You don’t need a Fortune 500 media library to benefit from this shift. You need an operating system for being “AI-quotable” and “AI-displayable.” Here are practical steps you can take this quarter:

  • Audit your visual IP and licensing. Know what images you own, what you licensed, and what you’re using under unclear terms. AI platforms will increasingly privilege content that is safe to display and attribute.
  • Build a visual-proof layer into your content. Add charts, annotated screenshots, process diagrams, and before/after examples that make your pages more valuable as sources—not just as destinations.
  • Make attribution easy. Ensure image alt text, captions, author pages, and about pages clearly identify your brand and expertise. AI systems use these signals to reduce entity confusion.
  • Publish “reference-style” pages. The pages that win in AI answers often look like mini handbooks: definitions, criteria, comparisons, and step-by-step frameworks with clear headings.

Implications for agencies: GEO is becoming partnerships + packaging

Generative Engine Optimization (GEO) is evolving. It’s not only on-site SEO hygiene and content quality (still required). It’s also:

  • Content packaging: turning expertise into assets that are easy for AI to cite, summarize, and display correctly.
  • Distribution strategy: getting your brand present in places AI systems already trust—industry publications, partners, and data sources.
  • Measurement discipline: tracking where your brand is cited/recommended across AI experiences, not just clicks from traditional search.

Getty’s deal is a high-profile example of a broader trajectory: AI search will be shaped by trusted inputs, and those inputs will increasingly be governed by licensing, provenance, and partnerships.

Need a plan? Real Internet Sales helps brands adapt to AI-native discovery—GEO strategy, content systems designed for citation and recommendation, and measurement frameworks that show what AI visibility is doing to pipeline. Call 803-708-5514 or visit realinternetsales.com.

Source: Getty Images press release via GlobeNewswire, June 21–22, 2026.