For decades, economic development organizations showcased their communities’ assets online by building and promoting robust websites. The effectiveness of that approach was easy to measure: unique visitors, page views, time on site, and the quality of inbound leads.
That model is breaking down.
Artificial intelligence now curates and summarizes information instantly, allowing users to access detailed answers without clicking through to individual websites. Nearly 60 percent of Google searches now end without a click.
Instead of returning pages of links, AI platforms generate direct responses to prompts such as: What region has the strongest logistics infrastructure for reshoring? Or: What city offers the best community college training programs for advanced manufacturing?
Websites still matter. They remain essential for credibility, technical detail, imagery, and conversion once a prospect is engaged. But they are no longer the primary gateway to discovery. That role now belongs to generative AI.
Earned media is no longer just a reputational tool. It is becoming a primary discovery engine.”
AI systems do not rely solely on official EDO websites. They synthesize information from across the web, drawing heavily from trusted news organizations, trade publications, government data, and named experts.
That shift has clear implications. Eighty-nine percent of AI citations come from earned media articles. Eighty-two percent of enterprise decision-makers now use generative AI weekly. And 84 percent of Google searches are influenced by AI-generated overviews.
The takeaway is straightforward: communities must ensure their story is being told across credible, third-party sources, not just their own platforms.
89%
The regions with the strongest earned media presence are more likely to surface in AI-driven research, shaping early perceptions and influencing shortlist decisions.
That creates both risk and opportunity. Communities that underinvest in earned media may see their visibility decline, even if their websites remain up to date. At the same time, regions that consistently generate credible, data-driven coverage can expand their reach and become reference points in AI-powered discovery.
Earned media is no longer just a reputational tool. It is becoming a primary discovery engine.
To adapt, economic development leaders must rethink how they communicate.
AI systems prioritize quantifiable data: job creation, capital investment, workforce metrics, infrastructure capacity, and housing delivery. Verifiable data published through credible outlets carries more weight than promotional language.
Named sources also matter. Quotes from CEOs, university leaders, workforce officials, and public-sector executives increase credibility for both human readers and AI systems.
Communities that rely solely on owned channels may find themselves invisible in the systems shaping first impressions.
Equally important is where that information appears. National business publications, industry trade journals, and authoritative local media are consistently used as source material by AI platforms. Overreliance on sponsored content or low-authority outlets can limit long-term visibility.
Finally, consistency matters. AI recognizes patterns over time. A sustained narrative—supported by evolving data and diverse expert voices—will outperform a series of isolated announcements.
This shift demands executive attention.
Communities that understand how their stories are being synthesized—and take deliberate steps to shape those narratives through trusted, third-party sources—will have a lasting advantage. Those that rely primarily on owned channels may find themselves invisible in the systems now shaping first impressions.
In this new visibility economy, the question is no longer just how well a community tells its story. It is whether the systems guiding global investment decisions recognize that story at all.