PR Didn't Win the AI Era. Reddit and Owned Media Did.

I've seen the same statistic about nine times in the last fortnight. 85.5% of AI citations point to earned media, per Muck Rack's Generative Pulse study of over a million prompts. The conclusion attached to it is always some version of the same thing: after fifteen years of watching paid media eat the budget while PR got asked to justify its existence, the machines have settled the argument in our favor.

I'd like that to be true. I've spent most of my career on the earned side. But I went and read the underlying studies, partly out of curiosity and partly because a client asked me to defend the number in a meeting, and what's in them doesn't really support the victory lap.

The 85.5% is from the July 2025 edition, for one thing. Muck Rack has run the study three times now, and the May 2026 edition came in at 84% across more than 25 million links from ChatGPT, Claude and Gemini. Between 82% and 89% across all three editions, so the finding itself looks solid enough. Not a fluke of one model update.

What doesn't get quoted is the bit from the December edition where Muck Rack's CEO noted an overlap of roughly 2% between the journalists PR teams pitch and the journalists AI cites. Two percent. The industry is celebrating a result it's currently missing by ninety-eight points, which is a strange thing to put in a slide.

Somebody else counted and got a different answer

Meltwater looked at 5.35 million citations in April 2026 and found earned and news media at 39.5% of LLM citations, with owned and other content at 50.3%. Split by platform, ChatGPT gives about 51% to earned while Claude gives 53% to owned.

One study says 84% earned. Another says roughly 40%. I don't think either one is fudged.

What's going on is a bucketing decision. "Earned media" in the first dataset is a wide net that catches a lot of third-party surfaces no press office has ever been near, and if you draw the categories differently then half the pie moves. So the headline figure is at least partly an artifact of classification, published by a company that sells PR software. I'm not accusing anyone of anything. I'm saying it warrants more than a repost.

You cannot pitch Reddit

Whichever tracker you look at, the answer comes back much the same. Ahrefs Brand Radar had Reddit at 16.7% mention share across broad US queries in July. Similarweb looked at around 600,000 citation events and put Wikipedia and Reddit each at 12 to 13% of ChatGPT citations, with a visible gap down to everything underneath. A Semrush study of 150,000 citations found Reddit turning up in 40.1% of AI answers, and DeltaV Digital, which tracked 21,075 responses between April and July this year, found it among the top domains for seven of the eight brands it followed.

Those percentages aren't measuring the same thing, which is why they sit so far apart. Share of all citations and how often something appears at all are different questions. The ordering holds regardless.

There's no version of media relations that touches any of it. No list, no embargo, no Thursday morning follow-up. Same goes for review aggregators, comparison sites, marketplace listings and Wikipedia, all of which get counted inside that earned media bucket. A good chunk of what's being read as a PR win was never earned by anyone in PR.

Owned media is doing more than people think

The owned side isn't losing across the board. It's losing badly in one format and holding up fine in several others, and the averages hide that.

DeltaV's numbers, 25,337 citations across eight industries, show no page type dominating. Listicles took 61% of citations in B2B technology services. Homepages took 55% for a local services brand. Program pages, 53% in higher education. Product pages came to 16.3% across everything analyzed. Those are owned surfaces, and in some categories they carry the category.

Within owned content the spread is enormous. The Meltwater breakdown has original research and proprietary data at a 38 to 65% citation rate, benchmark reports at 28 to 55%, standard blog posts at 6 to 15%, product and marketing pages at 3 to 8%. What gets cited is the material with numbers in it that nobody else has.

Set against that, McKinsey's AI Discovery Survey from October 2025 puts a brand's own website at only 5 to 10% of what AI references overall. Both can hold. It's a small share of the total, and it's also the share you can go and change this quarter without needing a journalist to agree to anything.

The State of Brand published a piece in late July arguing the B2B blog is finished and that the companies replacing it are becoming publishers outright. Not a resources hub, not a thought leadership section. An actual industry news source that people in the sector read and come back to.

The traffic numbers underneath that argument are worse than I'd realized. SparkToro's 2026 analysis of Similarweb clickstream data has fewer than one in three Google searches now producing a click to any website. Search traffic to publishers fell 33% globally in the 12 months ending November 2025. And HubSpot, the company that more or less invented the inbound blog, is estimated to have lost 70 to 80% of its organic traffic. Fifteen years of content strategy turned out to be a lease.

That piece is sponsored content from Outlever, which builds owned media operations for brands, and the company says so at the bottom. Normally that's where I'd start discounting. Here the disclosure doubles as the evidence, since the publication reportedly hit 1.5 million monthly uniques within three months of launching, mostly from unpaid off-platform sources, which is the only reason it surfaced in my research at all. A vendor demonstrating its own playbook is a slightly irritating rhetorical position. It isn't nothing.

Their framing is that a blog is built to satisfy an algorithm while a publication is built for readers. Having gone through the citation data I'd put it a shade differently. The publication is built for readers and gets read by machines as a consequence, and that second-order effect is the thing the GEO industry keeps trying to engineer directly.

Worth adding LinkedIn and YouTube here. Peec AI's analysis of 30 million sources, via Search Engine Land, ranked Reddit, YouTube and LinkedIn as the most-cited domains in AI answers. You publish to two of those directly. LinkedIn is no longer the free ride it was. Company page organic reach fell somewhere between 60 and 66% from 2024 to early 2026, and company posts now reach around 1.6% of followers against 7% in 2021. Heavily cited by models, barely seen by humans. Strange channel to be optimizing for.

The exclusive has become a problem

Landing the exclusive is the most prestigious thing a PR person does. One outlet, one embargo, one feature nobody else has.

Scrunch ran what I think is the first controlled test of whether that helps, pushing 8 articles through 944 prompt-platform combinations on five models in December 2025. Content sitting on the brand's own site got cited 8% of the time. The identical content distributed through third-party outlets got to 34%. A wider sample in March came out at a median 239% lift.

So concentration, which is what the discipline is built to produce, looks close to the worst available option. Fifteen unglamorous trade write-ups carrying the same specific claim will generally beat one very good national feature. I don't much like that conclusion either.

The writing mostly gets discarded

A model isn't reading your founder's 1,400 words on where the category goes next. It takes a claim out, drops the voice, files it next to eleven other claims from eleven other places.

Muck Rack's data on this is unusually specific: cited press releases had roughly 30% more objective sentences and about two and a half times as many bullet points as the ones that weren't cited. The GEO research from Princeton, Georgia Tech and IIT Delhi found statistics lifted visibility by 41%, quotations and cited sources helped further, and keyword stuffing made things worse.

So the driest paragraph in the document is the one doing the work. Usually the one somebody wanted to cut for being list-y.

The conversion figures don't agree

14.2% against 2.8% comes from Exposure Ninja in March. But per this running compilation, Similarweb's own cross-site analysis has AI referral conversion at 11.4% versus 5.3% for organic, so 2.15x rather than 5x. Ahrefs found AI visitors generating 12.1% of signups from 0.5% of traffic, nearer 23x. Adobe measured 42% better.

An order of magnitude between the estimates suggests nobody has settled on what they're counting yet.

Whichever figure is closest, it's largely describing where in the funnel these people arrive. Comparison and shortlisting happened inside the chat window, so the click comes from someone already pre-qualified by a process you can't see. Similarweb's panel data, reported by PPC Land, has 55.9% of AI-influenced traffic arriving as branded search instead of a direct click, so most of the effect isn't even visible as AI traffic in your reporting.

Two smaller ones. The 35% versus 13.6% split is Similarweb's US Market Research Panel from January, and the question asked which tool people found most useful at each stage, so it's stated preference rather than observed behavior. The 47% with no GEO strategy is a Cordial report via eMarketer, and Cordial sells marketing software.

What I'd do on Monday

Take twenty buying-intent questions from your category, run them through ChatGPT, Claude and Gemini, write down what comes back. Most companies have never done this once. Whatever the models get wrong about you is the actual backlog, and it'll be more specific than anything currently in the comms plan.

Then the surfaces nobody owns internally. The Reddit thread with your 2023 pricing still in it. The comparison page a competitor wrote. Your docs, your listings, your product pages. At most companies that isn't in anyone's job description, and it's a disproportionate share of what the models are reading.

On owned, the move is from blog to newsroom. Not more posts. Ahrefs looked at 75,000 brands and found the number of pages on a site has almost no bearing on whether AI systems mention the brand, so volume isn't the lever anyone hoped it was. What moves is original research, benchmark data, proprietary numbers, the sort of thing a trade publication would run if you sent it over. The Meltwater split has that material cited at 38 to 65% against 6 to 15% for standard posts and 3 to 8% for product pages. Publish the data rather than the opinion piece about the data.

Cadence matters too, because these systems lean recent. Muck Rack's December analysis found around half of all citations pointing at content from the previous eleven months, and separate work puts pages that aren't refreshed quarterly at three times more likely to lose citations. A team shipping something dated, numbered and sourced every few weeks will do better than one publishing a beautifully art-directed annual report. That's a newsroom operating model, and most marketing departments aren't set up to run one.

You don't need a launch for this. The on-ramp State of Brand describes is deliberately small: take a corner of the site for industry news and commentary, narrow the scope to where what your sector cares about overlaps with where you actually have standing, react quickly to the stories that matter, and use LinkedIn to distribute without ever treating it as the destination. One person can start it. The harder part is convincing a leadership team to fund something that looks like journalism and reports like brand.

The authority half isn't really about your website at all. In the same Ahrefs work, branded web mentions correlated with AI visibility at 0.664 while backlinks managed 0.218, and YouTube mentions were the strongest single signal at 0.737. Brands in the top quartile for mentions averaged 169 AI Overview appearances against 14 for the tier below them. So the actual goal is being talked about, consistently, in the places these models read. Your newsroom is the raw material that makes that happen, not the destination.

Beyond that: breadth over prestige, keep the key claims numeric and identical everywhere they appear, and measure how often you show up in model answers rather than impressions. It will be noisy. The same roundup puts month-to-month citation movement at 40 to 60%, which is a difficult thing to report against.

None of this is really a storytelling problem. It's closer to record-keeping, and the reward goes to whoever is most consistently findable and hardest to get wrong. PR teams will end up owning the work because they're the nearest thing most companies have to a function that already does it.

I just wouldn't read that as a coronation. The job that's growing looks less like the one most of us trained for and more like being a librarian who also handles customer support.