Last year, I taught a module on content marketing around the PESO model (Paid, Earned, Shared, and Owned media). Matt Bailey asked me to include more content about influencers in this year’s module; I joked that it might take me all morning to come up with a new acronym. He shot back, “Can you adapt it to a DIRHAM model instead of PESO?”
That’s when I had an epiphany: Buried beneath our banter was a strategic insight.
Publishing great content used to be enough. Write something valuable, post it, and trust that search engines, social feeds, and your audience will handle the rest. For most of the past decade, that assumption held. It no longer does.
Between your content and your audience now stand three powerful gatekeepers, and none of them are human. AI summarization systems like Google’s AI Overviews surface answers without delivering clicks. Social feed algorithms pre-select what users ever encounter, often before those users have articulated what they want. Private messaging networks carry enormous volumes of content sharing through channels that are invisible to any analytics tool. If your content isn’t built to pass through all three of these filters, quality becomes irrelevant. It simply won’t be found.
In response to this challenge, I created the DIRHAM framework.
Why The Old Frameworks No Longer Work
Content marketers generally have organized their thinking around PESO: Paid, Earned, Shared, and Owned media. The model served its purpose well as a categorization tool, helping teams allocate budgets and map campaigns across channels. The problem is that PESO was built to answer a distribution question that no longer captures the real strategic challenge. It told you where to place content. It said nothing about how to make content visible in a world where algorithms, not humans, decide what gets surfaced.
DIRHAM is a visibility system rather than a categorization scheme. It is behavior-driven and AI-aware, designed around how content is actually discovered today rather than how it traveled through digital channels a decade ago. The distinction matters because discovery itself has fragmented across three systems that operate on entirely different logic. Search has become an AI answer engine that returns summaries instead of links. Social platforms use recommendation algorithms that predict what users want before those users have searched for anything. And messaging apps carry significant content sharing through what marketers call dark social, private exchanges that leave no traceable footprint in your analytics dashboard.
Each of these systems decides relevance differently, which means a single distribution strategy cannot serve all three. That, in turn, exposes the deeper problem with channel-first thinking. Asking “where should we post?” is no longer the right starting point. The more productive question is how this particular audience actually discovers things, and what each system needs to see before it will serve…
Source link
Disclaimer
We strive to uphold the highest ethical standards in all of our reporting and coverage. We blogs.grocliq.com want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.
Website Upgradation is going on for any glitch kindly connect at [email protected]
