A column published on reflector.com addresses a shift that communications professionals can no longer ignore: search visibility now depends on both traditional SEO and GEO — generative engine optimization — the practice of making content surface inside AI-generated answers.

The article's core argument targets an audience that has historically treated search rankings as someone else's job. PR and marketing communications (MarCom) professionals, the piece contends, need working knowledge of both disciplines because the channels where audiences discover brands have fundamentally split in two: classic search engine results pages and conversational AI systems that synthesize answers from cited sources.

What is the difference between SEO and GEO?

SEO, as the article frames it, remains the discipline of optimizing content so it ranks in search engine results — the familiar blue links, rankings, and click-through dynamics that have shaped digital communications for two decades.

GEO, by contrast, addresses the newer surface: generative AI engines such as large language model assistants and AI-enhanced search features that compose direct answers rather than presenting a list of links. In that environment, the goal changes from ranking first to being the source an AI system chooses to cite, quote or paraphrase when it assembles a response.

For communications teams, the distinction matters practically. A press release, executive profile or expert commentary that ranks well in traditional search may never appear in a generative answer — and vice versa — because the two systems evaluate and package content differently.

Why should PR professionals care?

The reflector.com piece positions this as a competency question rather than a technical one. Public relations and MarCom already control many of the assets that both search engines and generative engines consume: announcements, bylined articles, expert commentary, bios and media coverage. Understanding how those assets get discovered, indexed and cited determines whether a brand shows up when stakeholders ask questions — or whether a competitor or an outdated source does instead.

The article's guidance to its PR and MarCom readership centers on building fluency in both optimization modes: maintaining the fundamentals that make content findable and authoritative for search engines, while also structuring and positioning material so generative systems can extract and attribute it cleanly.

What should practitioners watch next?

The piece signals that the divide between search visibility and AI answer visibility will keep widening as generative engines absorb more query volume. Communications teams that treat GEO as a passing feature rather than a durable discipline risk invisibility in the answers their audiences actually read. Practitioners should monitor how their branded content performs inside AI-generated responses — not only where it ranks — as the clearest early signal of whether their optimization strategy covers both discovery surfaces.