They do not. Ask a director how their organisation is doing and ask one of their managers the same question, and you get two different companies.

55.0% of directors and board members told us their content was very effective. Among managers, 37.4%. On whether content is deliberately built so AI and search tools can read and cite it, the numbers are 88.0% against 58.3%. On readiness for AI-mediated buying, 56.0% against 29.6%. On every judgement we asked for, the senior half is twenty to thirty points more positive.

Then we asked both groups what actually happens week to week. Whether ideas get rebuilt for each channel. Whether named people carry them. Whether anyone can point to a business result. On all of it, the two groups gave the same answers, not merely similar ones.

So the difference is not in what these organisations do. It is in what people believe about it. And the gap is not between organisations. It is inside them.

Teams agree what is being done. They don’t agree on whether it is working.

The people closest to the work are the least impressed by it, and they are the ones who would know. That is the real cost of this finding: a content programme gets quietly marked as solved several rungs above the people who could tell you it is not, and nobody escalates a problem the boss has already declared fixed.

These are different people at different organisations, not bosses and their own teams, so read it as a pattern rather than a diagnosis of any one company. But it is an unusually cheap pattern to test in your own business.

This is the finding that interested us most, and the one that changed what we thought we were testing.

We push clients to put named ambassadors behind their content, because experience shows how well it works. It is a hassle to organise and it takes effort to measure, and both of those are why it often does not happen. But the research says it is worth the trouble.

162 organisations said trusted individuals shape their thinking and carry it to market on an ongoing basis. The other 53 said they activate people occasionally, or rely on the brand account alone. Of the first group, 58.0% could point to both a conversation their content started and a business outcome. Of the second, only 18.9%.

That is three times as many. Getting your own people to carry a message to market makes an organisation three times as likely to have something to show for it, which justifies a great deal of effort and a good deal of spend. It is an association rather than a cause, and organisations already getting results may find it easier to keep a programme of named voices going. It is still the widest gap in the study, by a distance.

The reason is not mysterious. What we counted was conversations, replies and introductions, and business that followed, and those things happen between people. An organisation can announce something, but somebody has to be standing there when the reader decides they want to talk. An introduction cannot be made to a logo.

A brand account can publish. It cannot be replied to.

Throughout the research we wanted to test the gap between what marketers believe and what is actually happening. Nowhere is it starker than here.

75.3% said trusted individuals shape their thinking and carry it to market on an ongoing basis. Not occasionally and not for a single campaign, but as a matter of routine. But of those people, 37.7% could not name a single person who had carried anything in the past year.

These are not people who said the idea sounded good. They described a continuing programme, and then nearly four in ten of them could not produce one piece of evidence that it had happened.

There is a reason this layer is the hardest to credit, and it is worth saying plainly. When a named person carries an idea, the proof of it lands in their feed, their inbox and their conversations, where the marketing team cannot see it without effort. So the thing that works best is also the thing that is hardest to evidence, but the data shows it is worth the investment.

The human layer exists on more plans than it exists in the world.

Almost nobody we talk to is relaxed about AI and what it is doing to search.

Some clients think it important enough that they are discussing shadow sites built for no purpose except to be citable by assistants. So it was no surprise that 92.6% said their organisation was fairly or very prepared for a shift in AI-mediated buying, or that 91.6% said being found and cited by AI mattered.

The jolt came later, in the detail. Despite the importance of AI in search, 27.4% said their content was structured for it inconsistently or not at all. So nearly everyone believes AI matters to how buyers will find them, but more than a quarter are not geared up for it.

We also tested whether structuring content for AI had any bearing on results today. It had none. Not a weak effect. None. We are telling you that for a reason: every evidence question in this research asks what happened over the past year, and citability does not have a past year yet.

That said, there is a truth any marketer knows. Nothing can be quoted by AI that cannot first be reached. When a buyer asks an AI assistant which firms to consider, the answer is assembled out of what the assistant could actually read. A report behind a form is not in it. Neither is a summary that holds the substance back. And the PDF you are proud of is a layout, not a document: the headings, the hierarchy and the tables that make an argument quotable mostly do not survive the trip. If it was scanned, it is a picture as far as a machine is concerned.

Nine in ten said they were ready. More than a quarter had not done the thing that makes content citable.

Planning distribution at the start, before the content is made, is the textbook answer. It is what we have advised clients to do, and 65.6% of the organisations we surveyed said they do just that.

Interestingly, they did no better than everyone else. 49.6% of the early planners could point to both a conversation and a piece of business, against 45.9% of those who plan distribution later or not at all. On a sample of this size that is not a difference.

What did separate them was whether they actually rebuilt each idea for the channel it appeared on: here 54.9% could point to both a conversation and a piece of business, against 37.8% who did not go to the effort.

So the intention is not the thing. Planning early is presumably how most organisations end up rebuilding, which is why the advice took hold and why we gave it. But it is the rebuilding that shows up in the results. A plan made at the start and not acted on is worth nothing at all, and a rebuild that happens late is worth a great deal.

The plan is not the point. The rebuild is.

We expected all of them, in roughly equal measure. A system means parts that each contribute and none decides on its own. The research did not agree.

43.3% of organisations did all three things we tested. Two thirds of that group could point to both a conversation and a piece of business. Among everyone else, 34.4%. On the face of it, that is a system working.

The middle of the data is where it gets strange. Doing none of the three, 18.8% could still show a result. Doing one, 43.9%. Doing two, 32.3%. Two looks worse than one. In a survey of 215 people some of that is noise, but the larger point survives: on any sensible reading two out of three should get you two thirds of the way, and yet it barely moves the dial. Three separate contributions do not behave like that. Something in the set is carrying the load.

So we split the sample into all eight possible combinations. There is a line across the results, and it does not fall where we expected. Every combination that includes a named human being sits above 33%. Every combination without one sits below 28%. How much of the rest an organisation does makes no difference to which side of the line it lands on.

Which produces the most uncomfortable number in the study. Organisations with content deliberately built to be found and cited, rebuilt properly for every channel it appeared on, and nobody’s name on it, could show a result 16.7% of the time. Organisations doing none of the three managed 18.8%. In other words, do the two hard technical things, but skip the human one, and you land where you would have landed by doing nothing.

Authority and distribution are the volume. Named people are the switch.

You can turn the volume up on a machine that is switched off and nothing comes out. Turn the switch on and things happen even when the rest of the machinery is underpowered: the organisations doing nothing but named voices, with no structured content and no native rebuilding, could show a result 63.6% of the time.

That group is worth a caveat, because it is easy to misread. They were not organisations with nothing to say. Everyone in this survey had content. What they lacked was content deliberately structured to be found and quoted, which is a different thing and a more recent requirement.