Rand Fishkin Just Killed 'Make Great Content.' Inimitable Product Is What's Left.

Rand Fishkin spent twenty years telling marketers to make great content. On May 25, 2026, he published a post telling them to stop.

The piece is called “Inimitable Product is the New ‘Make Great Content’,” and it landed on sparktoro.com with a quiet prediction from its own author: fewer than 5,000 visits, fewer than 500 from search. Fishkin, who built Moz on the premise that quality content earns durable distribution, now expects the founder of modern SEO to be ignored by the channel he helped build. His framing of the platforms is unsentimental: “We are going to ruin the Internet.”

That sentence deserves to sit by itself for a moment, because it reframes a debate that marketing has been trying to soften for two years.

What Fishkin actually killed

The advice “make great content” rested on a model. You write something useful. Search engines find it. Readers click through. Some of them buy. The artifact (the post, the report, the explainer) was the moat because the traffic it earned compounded.

AI search broke the model at the artifact layer. ChatGPT, Perplexity, Gemini, and Google’s own AI Overviews now read the content, summarize it, and answer the user without sending the click. Fishkin calls this a prisoner’s dilemma: every publisher must allow indexing or lose visibility, and the act of allowing indexing teaches the systems to make the publisher redundant. The artifact gets absorbed. The traffic does not return.

His proposed replacement is what he calls inimitable product. The examples are deliberately concrete and deliberately diverse: ultrasonic chef’s knives, made-to-measure suits, curated gift boxes, pottery refined through millennia of technique, Meow Wolf’s immersive art installations, lawn care, financial services. These do not share an industry. They share a structural property. None of them survives by being summarized. You cannot answer “what is a made-to-measure suit” in a way that substitutes for the suit. You cannot summarize Meow Wolf in a way that substitutes for walking through Meow Wolf. The product resists the channel.

This is the part of Fishkin’s argument that travels.

Professional services has the same problem

Engineering leaders have been saying a version of this for eighteen months in their own vocabulary. The moat is not the code your team writes, because the assistant will eventually write code of that quality. The moat is the harness around the code: the review process, the test suite, the deployment discipline, the named conventions, the institutional memory of why a thing is built the way it is.

Fishkin’s marketing thesis is the same thesis arriving from the other end of the building. When AI can compress and re-present any artifact, the durable advantage shifts from the artifact to the system that produces and validates it. The system is inimitable because it is built from the operator’s specific history, specific data, specific decisions, and specific accountability.

For a consulting firm, this is not abstract. Three concrete shifts follow.

First, the deliverable stops being the moat. Every reasonably equipped firm can now produce a credible AI strategy deck in an afternoon. The deck is the artifact. AI can summarize it. The buyer can ask Claude or ChatGPT for a similar deck and get one that is 80% as good for the cost of a subscription. If your offer is the deck, your offer has been commoditized.

Second, named methodology becomes the moat. A methodology that has a specific name, a specific origin story, a specific set of decisions encoded in its sequence, and a specific operator track record is harder to summarize. AI can describe what the methodology says. It cannot reproduce the judgment that produced the methodology, the cases where it failed, the iterations that refined it, or the operator’s willingness to stand behind it in a specific engagement. The methodology is the made-to-measure suit. The deck is the off-the-rack copy.

Third, proprietary measurement becomes the moat. This is the part Fishkin gestures at when he lists financial services. A wealth manager’s value is not the explainer about index funds; AI will produce that explainer for free. The value is the measurement infrastructure that turns a specific client’s specific portfolio into a specific recommendation under specific market conditions, with accountability if it goes wrong. The measurement infrastructure is the inimitable product. The explainer is the bait that no longer works.

Releezy is built on this thesis, by accident

We started Releezy because engineering leaders kept asking a question that nobody could answer with confidence: is our team measurably better with AI than without it. The product is a measurement discipline that runs on a team’s own data, produces a scoreboard that compares humans and AI on the same axes, and gives the leader a defensible answer to the board.

Read Fishkin’s post and the positioning sharpens. The market does not need another explainer about AI productivity. The internet is drowning in those explainers, and AI search will summarize them all on a single result page. What the market needs is the inimitable thing: a measurement system tied to a specific team’s specific work, producing evidence that cannot be replicated by anyone who does not have access to that team’s data and that team’s standards.

In Fishkin’s vocabulary, the explainer is the artifact and the measurement is the suit. The explainer can be summarized. The suit has to be cut.

This is also why we have been resistant to building Releezy as a content marketing play. The natural instinct, given two decades of SEO conditioning, would be to publish a hundred posts on “AI productivity metrics” and hope the funnel fills. Fishkin’s prediction about his own post is the warning shot. If the founder of modern SEO expects fewer than 500 search visits to a piece this strong, the funnel math no longer holds. The audience comes from the inimitable thing existing in the market, being talked about by operators who use it, and being defensible when challenged. Content supports the inimitable thing. Content does not substitute for it.

The do-this-now

If you run a professional services firm, three concrete moves over the next sixty days.

Name your methodology. If your firm’s approach does not have a specific name, a specific sequence, and a specific set of choices that distinguish it from a generic competitor’s approach, AI will treat your firm as interchangeable with that competitor. Naming is not branding. Naming is the act of refusing to be summarized.

Identify the one measurement only you can produce. Every firm has something it sees in client data that nobody else sees. For most firms, that something is buried in spreadsheets and never productized. Productize it. The measurement, properly packaged, is the suit. Everything else you sell is the off-the-rack copy.

Audit your content for substitutability. Take your last ten posts. Paste each one into Claude or ChatGPT and ask for a competing version. If the AI version reads as 80% as good, that post is teaching the model to replace you. Replace it with something the AI cannot reproduce: a named framework with your fingerprints on it, a measurement nobody else has, a case where you stand behind a specific decision with a specific client. Inimitable, in Fishkin’s sense, means the thing that does not survive the summary.

The moat moved. Fishkin saw it from inside marketing. Engineering leaders saw it from inside the IDE. They are looking at the same shift.

---

This analysis synthesizes Inimitable Product is the New ‘Make Great Content’ by Rand Fishkin (SparkToro, May 2026).

Victorino Group helps professional services firms translate “inimitable product” into named governance methodology, proprietary measurement, and first-party data that survive AI summarization. Let’s talk.