We exported the top fifty worldwide search terms around marketing software — the whole cluster, from digital marketing down to influencer marketing app — expecting to find a few pockets of growth to write about.
Forty-nine of the fifty are down.
Not down a little in a couple of segments. Down across the board, between two and ten percent, with almost no exceptions. email marketing: minus ten. digital marketing app: minus ten. marketing agency: minus ten. app marketing agency: minus ten.
One term grew, by one percent.
The shape of the decline
The thing that makes this interesting is not the direction. It is the uniformity.
If a category is genuinely contracting, you expect dispersion — some segments collapsing, others holding, a few growing as budget rotates toward them. That is what a real demand shift looks like from the inside. Winners and losers.
That is not this. Terms with nothing in common are moving together at similar magnitudes. what is marketing (a beginner's question) is down six. marketing management (an academic term) is down two. mobile app marketing (a practitioner's term) is down four. facebook app is down four. These serve completely different people with completely different intents, and they are all sliding at roughly the same rate.
When unrelated things move together, the cause is usually upstream of all of them.
The most likely explanation
Search itself is losing the top of the funnel.
Informational queries — the "what is X," "how do I Y" questions that fed the entire content marketing industry for fifteen years — increasingly get answered in place. The answer appears above the results, the user reads it, and no click happens. The query still gets typed. It just stops producing a visit.
The pattern in this dataset fits that. The steepest declines cluster on terms with the most commoditized, most-answered-already content behind them: email marketing, digital marketing app, marketing agency. Every one of those has ten thousand near-identical explainer articles behind it, which is exactly the corpus a generated answer summarizes best.
We cannot prove causation from a single keyword export, and we are not going to pretend otherwise. But "AI answers absorbed the informational tier" is the hypothesis most consistent with near-uniform decline across unrelated intents, and it is consistent with what a lot of publishers have been reporting independently.
The three exceptions
Three terms did not decline. In a field averaging around minus five, flat is a signal worth reading.
influencer marketing — 0%. influencer marketing app — 0%. Held steady. Our read is that discovery in this category got solved and commoditized, measurement did not, and the products stopped resolving the demand. Demand persists; product-market fit stalled. We wrote about that here.
affiliate marketing app — +1%. The only positive number in the dataset. Plus one percent is trivial in isolation; against a ten-point headwind on comparable terms it is the largest relative move on the board. Affiliate is the one structure in this list that pays on outcomes rather than effort, access, or seats — and outcome-based structures are where money goes when attribution gets hard and distribution gets expensive. More on that here.
Also worth noting, just below the exceptions: app store marketing at 0%, linkedin at -1%, and content marketing at -2% — the shallowest declines in the set. Three surfaces where the content is harder to summarize away.
What is missing from the list, and why that matters
Fifty terms about marketing software, and TikTok, Reddit, Instagram, and YouTube do not appear once.
That is not a finding about those platforms. It is a finding about the seed. This export was expanded from app marketing — an app-store-era seed term — so it produced an app-store-era vocabulary: iphone app marketing, android app marketing, app store, app marketing agency. The keyword tool faithfully mapped a world that is roughly a decade old.
This is the standard failure mode of keyword research, and it is worth stating plainly because it costs people entire content strategies: your seed term determines your universe. Expand from a legacy term and you get a legacy map, complete with confident volume numbers that make it feel authoritative. The tool will never tell you what it did not look for.
If you take one operational thing from this post, take that. Run your expansion from three or four unrelated seeds and compare the sets. The terms that appear in only one of them are where your assumptions are hiding.
What we think this means
Three things, held with varying confidence.
High confidence: informational content is a worse bet than it was. If the top-of-funnel explainer is being answered in place, writing the ten-thousand-and-first "what is email marketing" article is not a strategy. The declines are steepest exactly where the content is most commoditized.
Medium confidence: the value moved to what cannot be summarized. Original data, specific experience, opinionated synthesis, and anything requiring a live account or a real result. A generated answer can compress the consensus. It cannot compress something only you have.
Lower confidence, but worth acting on: owned surfaces get more valuable from here. If discovery via search is compressing, the audiences you can reach without an intermediary — email, community, followers on platforms that still distribute organically — appreciate. Notably, email marketing being down ten percent is a statement about people searching for email tools, not about email working. Those are very different claims, and the dataset only supports the first.
Method
Single export, top fifty worldwide search terms seeded on app marketing, "search interest" indexed 0–100 against the top term, with period-over-period change. One tool, one pull, one point in time.
That is enough to observe a pattern this uniform, and not enough to attribute a cause. We are reporting what the export says and flagging the seed bias in it rather than building a thesis we cannot support. If you run the same pull from a different seed and get a different shape, we would genuinely like to see it.
clownfish101 is a content ops loop: generate on tone, publish semi-automatically, recover your real results by screenshot, feed them back into the next batch. Built on the premise that what compounds is the record of what worked for your audience — the one thing no generated answer can summarize. See the loop →