Earned media earns attention instead of buying it. That matters more every quarter, as paid ads get pricier, convert worse, and vanish behind ad blockers.
AI is now rewriting earned media from both sides at once. This session maps the whole shift from the inside, using real data from the earned media OS I built and run.
By Syed Irfan Ajmal · Founder of EMOS · CEO of DMR.agency · Quoted in Harvard Business Review and Forbes.
A credible mention in a publication your buyers already trust keeps working long after it goes live, and it makes the next mention easier to get. The moment you stop paying for an ad, the attention stops. And AI has just changed earned media from both sides at once.
The work of earning coverage breaks into six stages. Each one now has an AI agent doing the heavy lifting, and each maps to a tool in the OS I run.
And they reward exactly what earned media produces: authoritative coverage, citations, and genuine expert content.
Each stage maps to a tool in EMOS, the earned media OS I built and run, so the talk is backed by live data, not slideware. String the six together and you have a full pipeline, run with AI and no code.
Drafts, researches, or even builds the tool, report, calculator or dataset itself.
Reviews and approves before anything moves to the next stage. No stage skips this.
Scroll sideways on narrow screens to see all six stages
Surface the topics about to break before the market notices.
Build the research, tools and data that earn coverage.
Screen out AI slop and unverified claims.
Find the right journalists for the right stories.
Draft and send outreach, scored and tuned.
Track what the coverage actually produced.
In the room, we do not just describe the pipeline. We run it live.
Generative engines increasingly decide which brands surface in an answer. They stake their credibility on citation quality, so they reward authoritative coverage, third party citations, and real expert content. Earn it once and it pays out to people, to search, and to the machines that cite you, at the same time.
Readers, buyers, and the journalists who cover them still trust editorial coverage far more than an ad.
A credible, quotable source with a real point of view.
Google weighs links, mentions and expertise signals to decide who ranks and who stays buried.
Authority signals from independent sites.
LLMs and AI search stake their reputation on citation quality, so they surface brands with genuine authority.
To cite the most trusted, most mentioned source.
A single authority asset and a single piece of coverage do not stop at the placement. They compound around a six part flywheel. Spin it long enough and it starts turning on its own, because journalists cite sources other journalists have already cited.
Hover or tap a segment to read each return
The session is candid about all of it. That is the point.
Which jobs of a PR team can AI agents genuinely run today, and where do they still fail?
How do you pair AI with human judgment so the work earns the trust of journalists, customers, LLMs and AI search?
Why do LLMs and AI search now decide which brands get seen, and what do they reward?

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GEO · SEO-PR · Content Marketing
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