Taking Visibility to the Next Level: Diversifying Products to Social, Podcasting, and AI

Here’s a habit worth breaking. Businesses can spend weeks making content and only minutes promoting it, trusting organic traffic to carry the rest. For a long time, that was a reasonable bet. But if most of your traffic depends on SEO, a change in how people search can put a lot of your audience out of reach.
That kind of shift is already happening. Discovery has splintered across search, social, podcasts, AI, and other channels, while the old playbook is starting to show its limits.

A Broader Media Strategy Starts Here
Search still matters, but it can’t carry the whole visibility strategy the way it once did. AI Overviews answer questions directly on the results page[i], while evolving user behavior keeps altering the path between a query and a click. A brand can still rank well and see less traffic than it expects.
That makes heavy dependence on any one channel increasingly risky. A stronger approach gives good content more than one route to an audience, so a single algorithm change doesn’t decide whether the work gets seen.
At the Hearst StoryStudio, diversified distribution has been part of the content strategy from the start. Social introduces a story in the places people already scroll and can give it new life over time. A podcast lets expertise come through in an actual human voice. Email creates a direct line to an audience, while an established publisher environment brings credibility, scale, and first-party reach. Search tools add another entry point, meeting people when they’re actively looking for an answer.
That mix is becoming more important as the economics of trust change. Privacy rules and platform updates have made some forms of third-party targeting less dependable, while audiences have more choices about where they spend their attention. That concentrates the value in first-party audiences and trusted publishing environments, the assets a brand can actually build on.
AI Joins the Media Mix
AI is also opening up new places for brands to reach people inside the environments where they’re asking questions and weighing options. That makes AI-native advertising worth watching alongside more established channels, especially when the targeting can match a message to the context of the question being asked.
Early StoryStudio campaigns have shown promising results. Ads running in AI-native placements have delivered up to 7.8 times the click-through rate of standard programmatic display. In one month-long campaign for a regional medical practice, a combination of contextual targeting and DMA geo-targeting produced a 0.62% average click-through rate, compared with a0.08% benchmark for programmatic display[ii].
Discovery Starts on the Page
How content is built also shapes where it can surface. Search and AI systems need clear structure to understand what a page is about. StoryStudio’s Content Companion adds elements like clear summaries, tagged headings, and FAQs alongside the human-facing story, helping machines interpret it accurately without changing the way it reads for people.
That added layer can help stories show up in more places. A StoryStudio feature for Port City Vet gained organic search visibility and began appearing in AI Overviews[iii], extending the reach of a story built first for human readers.
Put the Whole Ecosystem to Work
A strong story should have more than one way to find its audience. StoryStudio builds those paths by extending premium storytelling across publisher sites, social, podcasts, and emerging AI surfaces, backed by Hearst’s first-party audiences, guaranteed distribution, and transparent reporting.
Want to talk about building a broader discovery strategy? Reach out at StoryStudio@Hearst.com or visit hearststorystudio.com.
[i] Athena Chapekis andAnna Lieb, “Google Users Are Less Likely to Click on Links When an AISummary Appears in the Results,” Pew Research Center, July 22, 2025.
https://www.pewresearch.org/short-reads/2025/07/22/google-users-are-less-likely-to-click-on-links-when-an-ai-summary-appears-in-the-results/
[ii] StoryStudiocampaign performance data, AI-native advertising campaign, 2026.
[iii] StoryStudioperformance data, Port City Vet campaign, 2026.



