Intent data is becoming a commodity, and that should worry anyone who built a sales motion on top of buying it. Five years ago, an intent feed was a genuine edge. You knew which accounts were researching your category before your competitors did, and you could reach them first. In 2026, that edge has mostly evaporated, not because intent data got worse, but because everyone has the same intent data.

When a product is sold to everyone, on the same terms, sourced from the same places, it stops being an advantage and becomes table stakes. That is the textbook definition of commoditization, and it is exactly what is happening to the aggregated intent feeds sold by the big data vendors. This post explains why intent data commoditized, what kind of intent signal is still valuable, and what a solo founder should buy attention to instead of a topic-surge dashboard.

Key takeaways

• Intent data became a commodity because vendors resell the same aggregated, anonymized signals to every buyer in a market.

• Most commercial intent data is account-level and probabilistic: it tells you a company showed topic interest, not that a person wants to buy.

• By the time a topic surge appears in a shared feed, your competitors see the identical alert.

• The signal that has not commoditized is explicit public intent: a named person openly asking for what you sell.

• For a solo founder, the move is to act on first-party public signals, not buy a feed every rival also owns.

Why did intent data commoditize?

Intent data commoditized because the major vendors all source it from the same well and sell it on the same terms. When the supply, the format, and the customer list are identical across vendors, there is nothing left to differentiate, and price becomes the only lever. That is the end state of commoditization.

Look at where commercial intent data comes from. It is aggregated from publisher networks, bidstream data, content syndication, and review-site traffic, then bucketed into topics and matched to companies by IP. Several vendors draw on overlapping or shared data co-ops. So when an account spikes on a topic, that spike surfaces in multiple vendors' dashboards at roughly the same time. The vendor you pay and the vendor your competitor pays are looking at the same surge. Worse, the data is sold by subscription to anyone who can afford it, with no exclusivity. An intent feed that everyone in your category can buy, showing signals everyone sees simultaneously, cannot be an edge. It is a cost of doing business. The wider set of where intent actually comes from is mapped in B2B intent data sources for 2026.

What is wrong with account-level intent data?

The deeper problem is not just that intent data is shared, it is that most of it is account-level and probabilistic. It tells you a company, somewhere, showed interest in a topic. It does not tell you who, it does not tell you what they actually want, and it is often a guess.

Think about what an account-level intent alert really says: "an IP address associated with Company X consumed content tagged with your category this week." That could be a buyer. It could also be a junior analyst writing a report, a competitor doing research, or a student. You do not get a name, a role, a problem statement, or a deadline. You get a probability and a logo. So you still have to guess who at the account to contact, guess what they care about, and guess whether they are in-market at all. That is three guesses stacked on a signal that was already a guess. Compare that to a person posting "we are evaluating tools for X, what does everyone use" - that is one named person, one explicit problem, zero guessing. The framework for telling weak signals from strong ones is in the buying intent score framework.

Commodity intent data vs explicit public intent: how they compare

Not all intent signals commoditized at the same rate. The aggregated topic feeds are now near-commodity. Explicit, public, first-party intent is not, because it cannot be bought wholesale. The comparison makes the gap concrete.

The decisive row is "what you can say." Commodity intent data leaves you guessing the pain, so your outreach stays generic. Explicit public intent hands you the exact words the buyer used, so your message can reference their real problem. That difference shows up directly in reply rate.

What should a solo founder use instead of bought intent data?

A solo founder should skip the aggregated feed entirely and act on first-party public intent: the conversations on Reddit, LinkedIn, and other public forums where buyers describe their problem in their own words. That signal is free to observe, specific enough to act on, and not pre-sold to your competitors.

The catch is volume. Public intent is scattered across hundreds of subreddits, comment threads, and LinkedIn posts, and the relevant ones are buried in noise. No founder can watch all of it manually. That is the actual job to automate: continuous monitoring of public conversations, scoring each signal for real intent, and surfacing only the ones worth a reply. When the signal is a specific person asking a specific question, the outreach almost writes itself, because you are responding to a stated need rather than manufacturing a reason to reach out. This is why intent-based outreach reaches reply rates near 22% against the roughly 1.8% industry average for generic cold mail - the message is relevant by construction. The full motion is described in the signal-based selling playbook, and the underlying market shift it depends on is covered in the death of the contact database.

Frequently asked questions

Is all intent data now worthless?

No. Account-level intent data can still help large teams prioritize a long account list. The point is that it is no longer an edge, because every competitor buys the same feed. For a solo founder competing on relevance and speed, it is the wrong place to spend money.

How is public intent different from buying an intent feed?

An intent feed is aggregated, anonymized, and resold. Public intent is a specific named person posting a specific question in the open. One tells you a logo might be curious. The other tells you exactly who to contact and what to say. See cross-platform intent detection.

Does an AI sales rep replace intent data vendors?

For the solo founder use case, largely yes. repco.ai monitors Reddit and LinkedIn for public buying intent, scores it 1 to 10, and drafts a message tied to the post. It is first-party explicit intent, not a resold topic feed.

Will explicit public intent commoditize too?

The raw conversations are public, so in theory anyone can watch them. But the advantage is speed and relevance, not exclusivity of access. The first founder to reply with a genuinely useful, specific message wins the thread, and that cannot be bought wholesale.

Bottom line

Intent data is becoming a commodity because the aggregated feeds sold by the major vendors are sourced from the same places, formatted the same way, and sold to every competitor at once. An advantage everyone owns is not an advantage. What has not commoditized is explicit public intent: a named person openly stating a problem you solve, in their own words, where you can reply first. For a solo founder, that is the better signal and it does not require a five-figure subscription. The hard part is watching enough public conversation to catch those signals in time, and that is exactly the job an AI sales rep does. See how repco turns public intent into pipeline at repco.ai.