Report

Visibility in the
Synthetic Age

Time for a new game plan

By Hotwire and House of Beautiful Business · November 2026 · 18 min read

For a long time, visibility was one of the simplest ideas in business: if people could see you, they could consider you. And the more people you reached, the better your chances were of being known, remembered, and chosen.

Much of what communications and marketing departments did was built around that logic: run campaigns, earn coverage, climb search rankings, attract followers; measure impressions, traffic, reach, and engagement. These were never perfect measures of business impact, but they gave organizations a reasonable sense of how visible they were.

Now that logic is breaking down. AI makes it dramatically easier—for everyone—to produce more content, reach more audiences, and generate more signals. Yet appearing more often tells us less about whether an organization is actually being noticed, remembered, trusted, or acted on. A brand can appear everywhere without being understood, be found by an AI assistant without being chosen, or become part of conversations it cannot see.

Visibility isn’t becoming less important. It’s becoming harder to read. In the Synthetic Age, exposure is only the starting point now. The real question is whether you can be found, understood, trusted, and carried into the decisions that matter.

This report explores what’s changing, the paradoxes organizations must navigate, and the practical ways they can build visibility that does more than make them seen.

Three new shifts are affecting visibility

Know what you’re working with

1. We’re making LOTS of content…

… but abundant content generation goes hand in hand with a scarcity of attention, time, and commitment from those who are targeted to consume it.

The amount of content in circulation has been rising for years. In 2012, around 60 hours of video were uploaded to YouTube every minute. By 2020, that had risen to more than 500 hours per minute. AI is now pushing that abundance even further, making it dramatically easier for organizations to create more versions, more often, for more audiences.

But the ability to produce more doesn’t mean people have more attention to give. As content becomes abundant, the scarce part shifts to what people are willing to spend their time on, engage with, and make room for in their lives. So it’s not really about what an organization can produce, but what people find and are willing to let into their lives.

— Graphite, Q1 2026

— Metricool, 2026

31.3% fall in average views per TikTok video

— Metricool, 2026

2. We’re listening more to people…

… but attention to the person does not automatically build lasting recognition for the organization.

Organizations have always relied on recognizable people to carry ideas. But over the past decade and a half, those people have increasingly become media channels in their own right. In 2010, only 36% of CEOs at the world’s top companies were socially active. By 2015, that had more than doubled to 80%. And today, organizations increasingly rely on executives, employees, and creators to reach audiences that institutional voices often struggle to engage.

The challenge is what happens to that attention. In B2B, it’s often a question of permanence: audiences, reputations, and relationships accumulate around individual accounts, while the people behind those accounts may eventually move on. In B2C, it’s often a question of attribution: creators and personalities can make branded content dramatically easier to notice, but attention to the person doesn’t automatically become memory or value for the brand.

23% rise in CEO postings on LinkedIn in a single year

— Financial Times, 2024

252% higher click-through rates for Thought Leader Ads

— LinkedIn, 2025

4 in 5 sitting CEOs expect to leave their role within five years

— Spencer Stuart, 2025

Only 6% of creator assets combine strong engagement with strong brand-building potential

— Kantar, 2025

3. AI is becoming a broker…

… but there’s no single rulebook for being visible to AI.

Until recently, digital discovery usually led people toward a source: a website, a search result, an analyst, a review, or a peer. AI increasingly sits in between, reading those sources, comparing the options, and presenting an answer before the customer ever reaches the organization directly.

But this new intermediary doesn’t work the same way everywhere. Which sources an AI system draws on depends on the engine, category, question, and user. Visibility therefore becomes less predictable, less observable, and less controllable. A finding from one market or engine may not tell you much about another. The practical lesson is to check which sources matter for your buyers, rather than assume one AI-search playbook works everywhere.

94% of B2B buyers use AI during their buying process

— Forrester, 2026

40% of B2B commercial leaders were expected to establish dedicated generative-search teams by 2027

— Gartner, 2025

Over 65% of Google AI Overview sources in McKinsey’s consumer goods and financial services analysis came from publishers, user-generated content, and affiliate sites

— McKinsey, 2025

70.74% of citations in Hotwire’s filtered B2B live-retrieval analysis came from corporate websites collectively, including competitors’ sites—not necessarily the brand being searched for

— Hotwire, State of AI Search in B2B, 2026

7.29% vs. 0.02% of citations came from social sources in Google AI Overviews versus ChatGPT in Hotwire’s B2B live-retrieval analysis

— Hotwire, State of AI Search in B2B, 2026

An even bigger challenge:

Some of the visibility that shapes decisions now happens in places organizations cannot see, measure, or even know they are part of.

Buying decisions increasingly take shape across more people, more channels, and more private or machine-mediated environments than any organization can fully observe. A conversation with an AI assistant. A recommendation in a private Slack group. A link forwarded in a message. An internal discussion involving people the seller will never meet.

Each may influence what gets considered, trusted, or chosen, without leaving a signal the organization can reliably measure. The challenge isn’t simply reaching more people. It’s understanding and influencing decisions that increasingly take shape beyond your field of view.

13 internal stakeholders + 9 external influencers

— Forrester, The State of Business Buying, 2026

10 buying channels on average

— McKinsey, 2026 Global B2B Pulse

61% of the buying journey happens before first vendor contact

— 6sense, 2025

Roughly 80% of deals go to the vendor favored before first contact

— 6sense, 2025

The Visibility Paradoxes

The paradoxes describe the new conditions of visibility in the Synthetic Age. As we navigate them and try to make different forms of visibility work together, certain patterns emerge. We call these Visibility Plays.

Generated × Lived

A marketing team can produce dozens of versions of the same idea, distribute them, and generate dozens more. When the British Council ran its “Global English” campaign, it turned about ten master templates into more than a thousand localized assets across seven languages, cutting production costs by 70%. A brand can now create more images, messages, and variations than it could have afforded only a few years ago.

This is Generated Visibility. It’s appearing more often, in more places, and in more forms. And everyone else can do it too.

So as production becomes abundant, the scarce part shifts to what other people are willing to put into the relationship. Things like time, sustained attention, participation, creativity, reputation, commitment, or belonging.

Good storytelling can help earn that investment. A compelling narrative gives people a reason to care about an organization and can influence what they believe, remember, and do.

Now for Lived Visibility.

Lived visibility is about investment, not provenance: even a fictional character can become deeply lived. Think collected, remixed, made part of a shared culture. One example is Lofi Girl, the animated study companion whose (human-made) music millions have made part of their daily routines. What defines it is what people invest, not whether the character is real.

Generated visibility creates presence. Lived visibility begins when people spend time, return, contribute, adapt, recommend, or bring the organization into their own work.

So, two questions: 

Can what the organization makes earn real investment from people?

Can that investment, in turn, shape what it makes next?

Person × Institution

The most visible voice for an organization is now a person: a founder, CEO, employee, practitioner, creator, or ambassador. People publish from inside relationships, rather than from a more institutional channel. They can develop a recognizable voice, hold a specific opinion, be challenged, and build a history.

Because as polished organizational content becomes easier to produce, a person choosing to say something (and attaching their name to it) carries more credibility.

That is Person Visibility: it’s relational, expressive, and portable.

But the same conditions that favor individuals also make visibility easier to detach from the institution behind them.

Sometimes the person belongs to the organization. But they can leave, and the audience could follow. A founder can become more famous than the company. Visibility accumulates around an individual while surprisingly little of its meaning stays behind.

Sometimes the relationship is external. A creator can command enormous attention for a piece of branded content without that attention becoming memory, preference, or value for the brand itself.

Two examples with the same question: What does the institution accumulate?

The pull toward people is strong. BetterMe is a wellness company with millions of followers of its own. Even so, its founder Victoria Repa built her personal following to over five million people in about three years. As she told Inc.: every change in how people find information “moved where trust lives.” And one could say that trust is gathering around her, not the company.

A football club brings this concept even more to life. In sports, it’s the players who are the stars. They score the goals and dominate the conversations. But part of what makes those moments matter is the shirt they wear and the history that’s threaded into it. When players leave, a club remains. When new players arrive, they play within the story that existed before them.

Organizations can work this way too. It goes beyond executive visibility, employee advocacy, or influencer marketing.

A weak relationship just borrows a person’s audience. A strong one gives them something of their own to stand for: a point of view, a method, a community. But the tie to the company stays clear. So when people follow the person, they also connect to the organization, and that’s something it gets to keep.

So, two questions: 

Can what the organization makes earn real investment from people?

Can that investment, in turn, shape what it makes next?

Machine × Human

It often goes like this:

Procurement staff need to compare three vendors. They ask an assistant. Seconds later, they have a list of capabilities, strengths, weaknesses, pricing, likely fit, and a suggested shortlist. Without ever visiting a vendor website. This isn’t hypothetical: Forrester finds 94% of business buyers now use AI during buying. A company can now be found, compared, and turned down before it ever gets to speak for itself.

That’s Machine Visibility.

Today’s organizations need to be legible to machines. A system has to be able to find them, tell them apart, and describe them accurately. Hotwire’s State of AI Search in B2B corpus shows machines drawing heavily on material that answers specific questions: documentation, clear facts, explanatory depth, standards, and checkable evidence.

But machines also compress information. Three companies become three summaries, lined up side by side. Much of what sets a company apart—its tone, its story, the experience of dealing with it—can get lost along the way.

So once machines can explain what you are, what makes anyone care that it’s actually you?

That’s where Human Visibility comes in.

Think of the reputation, trust, and familiarity people build with a company over time. Maybe they’ve experienced its work, heard good things from a colleague, or followed someone who represents it. These impressions can shape a decision long before anyone starts comparing vendors.

Sometimes that means a buyer asks an AI assistant about a company by name. Other times, the assistant introduces an unfamiliar company, and something in its answer catches the buyer’s interest. Perhaps it’s a distinctive approach, a strong reputation, or research the company is known for. The buyer might explore further, talk to someone they trust, or remember the name for later.

And what people say and think about a company can also influence what machines find. A reputation built over years may show up in recommendations, independent sources, and recognizable ideas that AI systems draw upon.

Of course, none of this is guaranteed. An assistant might use your research to explain a topic, then recommend your competitor. Or someone might specifically ask for your company even though the AI hadn’t suggested it.

So the challenge goes both ways:

Can we make our company easy for machines to find, and build the kind of reputation that makes people want to choose us?

Private × Shared

Someone uses an idea from your company’s research in a meeting you’re not in. Nobody opens the original article. Nobody explains the idea. They don’t need to. The conversation just keeps going, using your idea as if it had always been there.

Something has traveled without you.

A tip gets passed along in WhatsApp. An idea becomes one line in a Slack thread. A deck becomes a screenshot. A whole framework shrinks to two words. Someone repeats a thing they heard from someone who heard it somewhere else.

That’s Private Visibility. Your organization’s ideas and work moving through places you can’t see, enter, or measure.

Traveling changes what your idea becomes. Details fall away. Your name often drops off. What survives is whatever is easy to pass on without explaining. This can be a phrase, an image, a number, even a story. It loses the full picture but gets easier to communicate. And once the same idea keeps working in room after room, people start to recognize it before anyone has the chance to explain it.

Now it’s not just moving privately. It’s Shared Visibility, and shared doesn’t have to mean everyone.

In a fragmented world, one company is unlikely to become the name everyone reaches for. But it can still become that name inside one profession, one community, or even one market. An idea can travel through a small world and become part of how that world talks.

So the two sides depend on each other. To spread privately, an idea has to be small enough to carry without its backstory. And the more it gets repeated across those private spaces, the more shared it becomes. But here’s the catch: once an idea is truly shared, your name may not travel with it. That’s the power and the risk.

So the question is:

Can we make ideas people want to pass on, and make sure our name travels with them?

The Visibility Plays

A Play isn’t a tactic tied to one channel, and it doesn’t “solve” a paradox. It’s a concrete, repeatable method of making one kind of visibility create value for another.

A Play isn’t a tactic tied to one channel, and it doesn’t “solve” a paradox. It’s a concrete, repeatable method of making one kind of visibility create value for another.

The following six Plays aren’t an exhaustive playbook, but they’re strong patterns we’ve identified through our research.

Make people part of it

Stop treating people as the endpoint of communication. Give them a way to contribute knowledge, shape something, or create value for others. When participation leaves something useful behind, visibility becomes more than attention: people have a reason to return, share, and bring others in.

Make people part of it

iFixit has built more than a library of repair instructions.

Its tens of thousands of guides can be created, corrected, and improved by the people who use them. Contributions are tracked, authorship can be shared, and reputation accumulates as people add useful knowledge.

So someone who comes to fix a phone can leave having changed what the next person finds. The audience isn’t the endpoint here. They’re part of what’s being built.

And that’s where the visibility value comes from. When people help build something, they come back to it, talk about it, and pull others in. The organization stays visible because its audience helped make it that way.

This is “Make people part of it.”

Participation can take many forms. People might contribute knowledge, create something others can use, or help shape what comes next. The important thing is that their involvement leaves something behind. 

dbt works the same way. Its users don’t just install the software. They build open-source packages that other practitioners install and extend. What grows around it is an ecosystem the community made, not just an engagement metric.

The bigger question: What’s different because they were there?

This choice gets sharper as content gets cheaper to make. When tools can spin up another version for almost nothing, companies have to choose. Do they use the savings to make even more? Or do they spend some of it giving people a way to take part?

So ask yourself: Where could people do more than just use what you make? And what would change if they did?

How to Play

Pick one thing people already use or engage with, and give them a way to contribute to it. Let them improve it, add their own knowledge, or build something others can use. Make their contributions visible, so the next person encounters something the community helped create. Start small, but make the opportunity to participate real. A poll or comment box isn’t enough.

Build through others

Instead of asking people to amplify your message, give them something valuable they can make their own. A method, skill, credential, or professional identity can strengthen the person who carries it while extending the organization’s influence. The relationship creates value in both directions, even when people move on.

Build through others

Cicerone created a professional qualification in beer service. Today, more than 170,000 people across more than 90 countries hold one of its certifications.

The important part is where the credential lives. People earn it, put it on their CV, and carry it into breweries, bars, restaurants, and distribution companies. They keep it when they change jobs, and anyone can verify it independently. The authority belongs to them.

Yet every time someone carries that authority into a new job, Cicerone grows stronger too. It becomes the name that defines what good beer knowledge looks like.

This is “Build through others.”

Most visibility programs run the opposite way. The company supplies the message, the person supplies the audience, and ghostwritten posts add reach but keep the exchange thin. The person matters only as a megaphone.

“Build through others” starts with a different question: what can the company give a person that stays valuable even when they’re no longer promoting it? A method, a credential, knowledge, even a professional identity. A community where their standing can grow.

The key is that the authority has to be portable. If it vanishes the moment someone leaves or stops using the approved language, the company was only leasing their visibility.

HubSpot did this with inbound. It taught a method people could get certified in and apply anywhere. That independent use is exactly where the payoff comes from. The person gains authority and the company gains a bigger world where something it created has standing.

So consider this: What could someone carry out of your organization that would make both them and you stronger?

How to Play

Think about something your organization knows or does particularly well. Could you turn it into a method others can apply, a tool they can use, or a qualification they can earn? Make it valuable enough that people would want to take it with them, even if they no longer worked with you. Give it a recognizable identity, and let people make it their own.

Publish what only you can see

Your most valuable content may already exist inside your operations. Look for evidence, patterns, and observations that only your particular position allows you to uncover. Making that knowledge accessible gives people and machines a reason to seek you out as a source, rather than just another commentator.

Publish what only you can see

Backblaze runs hundreds of thousands of hard drives. That gives it a view of how and when drives fail that almost no one writing about the topic can match.

Since 2013, the company has published what it sees. In a single quarter of 2026, its stats covered more than 340,000 drives and roughly 30 million drive-days, and it makes the raw data public so others can look at it themselves.

The result has traveled far beyond Backblaze’s own blog. The company says the dataset has been used in more than 100 academic papers and machine-learning projects. Note the progression: everyday operations create evidence, the company publishes it, and others test, challenge, and build on it.

That is “Publish what only you can see.”

There are different ways to be useful as a source. One way is resolution: being unusually clear and authoritative about something you’re entitled to answer, just like good documentation. However, resolution rarely makes you stand out. Some other company can answer the same question just as clearly as you did.

Scarcity is different. It comes from where you stand. What failures cross your desk? What do you see in your transactions, your operating data, or your experiments that only becomes visible because you see more of it? Organizations generate huge amounts of this material and keep most of it locked inside. Publishing it changes the basis of visibility.

Hotwire’s State of AI Search in B2B research works the same way. Earlier in this report we drew on a mass of more than a million AI answers, because Hotwire sits inside enough AI-search activity to see something an outside commentator simply couldn’t reproduce.

The same scarce evidence works on machines and people for different reasons. Machines retrieve it because it’s spelled out. People remember where it came from, because the source is part of why it exists at all. Over time, people start to connect the knowledge with you. 

The catch is that this kind of material rarely sits neatly inside a marketing/comms plan. It may take data extraction, methodology, legal review, or engineers. That friction is part of the value. Because if it were as easy as writing another opinion piece, someone else would do it.

Think about it: What can your organization know because it stands somewhere no one else does?

How to Play

Look for something your company knows because of the work it does. Perhaps it’s a pattern in your customer data, an observation from years of experience, or something you’ve learned through trial and error. Find the evidence, and publish it in a form others can examine and use. Be open about how you arrived at your findings. And here’s a useful test: if a competitor could produce the same piece using publicly available information, you probably haven’t found your most valuable material yet.

Make yourself carryable

Your ideas rarely travel intact. They get shortened, quoted, forwarded, and retold. Give your strongest thinking a recognizable form—a phrase, distinction, or visual—that people can remember and use without the original content. The goal is to make an idea easy to pass on without losing every trace of where it came from.

Make yourself carryable

37signals published Shape Up as a book about product development.

But it was more than the book. Terms like appetite, bets, betting table, and shaping gave teams smaller pieces they could carry into their own work. You could ask “what’s our appetite for this?” without reproducing the whole argument. Other companies now describe themselves as adopting or adapting Shape Up.

That is “Make yourself carryable.”

Visibility rarely travels in the shape you made it. A report gets reduced to a single statistic. An article becomes a sentence within a message. Or a presentation becomes a screenshot. Every journey usually gets compressed.

What survives that compression often has a recognizable core. There’s some distinction, a phrase, a diagram you can redraw, a number you remember. Something simple enough to repeat, but specific enough to stay useful once the context has vanished.

A job title can do this too. Forward Deployed Engineer started as a role at Palantir and has spread well beyond it. Other technology companies, including OpenAI, now use the title for engineers who work closely with customers and feed what they learn back into the product. The term escaped its originator because other organizations found it useful.

That’s the power and the cost of carryability. Once language really travels, it stops being exclusively yours. Competitors adopt it, attribution weakens, and the market forgets where it began. But something else happens too. Future conversations start further ahead, because a distinction you helped establish has become part of how other people think.

The challenge is to make your ideas useful enough to spread, and distinctive enough that some recognition of where they came from survives.

Campaign culture makes this hard. It rewards the next new line before the last one becomes anyone’s language. Carryability asks for the opposite: repeat something long enough that other people learn to use it.

So now, ask yourself: What would you still want circulating about your organization if the original article, deck, or campaign disappeared?

How to Play

Take one of your strongest ideas and imagine someone mentioning it in a meeting without having your article or presentation in front of them. What would they remember? Could they explain it in a sentence? Would anyone know where it came from?

Try giving the idea a recognizable name, a memorable distinction, or a simple visual form. Test it with people who haven’t seen the original. And once you’ve found something that sticks, keep using it. People need time to make your language their own.

Build a record that compounds

Don’t make every publication start from zero. Return to a question, observation, or method over time, allowing each new installment to build on what came before. When people can compare, revisit, and learn from the history, the accumulated record becomes more valuable than any single piece of content.

Build a record that compounds

Thoughtworks published the first Technology Radar in 2010, and has kept publishing it for more than a decade.

That history is what gives it force. Technology showing up today isn’t an isolated opinion. Readers can see whether it’s new, whether Thoughtworks changed its mind, and where it fits in a long line of past calls. The movement itself becomes information.

That is “Build a record that compounds.”

An organization can publish every week for ten years and build nothing like it. The content calendar makes that easy: the unit is the next empty slot, and once it’s filled, attention moves on.

A record works differently, because the entries depend on each other. Questions come back. Methods stay recognizable. Predictions can be checked against earlier ones. The individual piece still matters; it just no longer arrives alone.

The first Radar entry stood on its own. By the fiftieth, there were years of past calls to compare it to. At some point this flips. Early on, each new entry builds the record. Later, the record is what makes each new entry worth trusting.

Stack Overflow’s Developer Survey, run every year since 2011, has some of the same quality. Even as its methodology changes, each new edition joins a visible decade of what developers use, learn, and think.

This is different from just keeping a chronology. A feed or an archive preserves what happened, but neither necessarily compounds. A record compounds when earlier material changes the value of what comes next. That needn’t be slow, only stable enough that the past stays useful.

Generative tools make it easier than ever to fill the next publishing slot. Which may make the opposite question the valuable one: What are you observing now that would matter even more if you were still observing it three years from now?

How to Play

Choose a question you’ll still care about in three years. Decide what you’ll observe, measure, or document each time, and commit to returning to it. Keep the format consistent enough that people can compare one edition with another. Don’t hide your earlier findings, including the predictions that turned out wrong. Over time, the history itself becomes valuable. Each new installment should give people a reason to revisit what came before.

Prove what's real

In a world where almost anything can be convincingly generated, appearance alone is no longer reliable evidence. Where origin matters, make it possible to verify how something was made, where it came from, or what happened to it. Let that evidence travel with the thing itself, rather than depending on a claim made elsewhere.

Prove what's real

The Leica M11-P changed something about the moment a photo is taken.

It became the first production camera to attach Content Credentials right at capture, so information about where an image came from stays with it and remains checkable as the image moves around and gets edited. The feature makes sense because an old assumption has broken. A photo used to mean a camera had been there. A voice meant someone had spoken. Writing told you something about who made it.

Appearance no longer gives us that confidence. A synthetic image can look photographed. A generated voice can sound human. Polished writing tells us little about how it was made. This is where “Prove what’s real” begins.

The answer isn’t to make everything by hand. And not everything needs a stamp of origin. But origin matters when knowing how something was made changes what it means: a documentary photo, a piece of craftsmanship, a responsible-sourcing claim, a human performance. In those cases, how it looks may not be enough.

The proof has to be checkable, and it has to travel with the thing itself. Images get copied, products resold, content edited. If the proof lives only on your website or in the original explanation, it vanishes the moment the thing leaves.

Chloé’s digital product passports apply the same idea to physical goods. Starting with its Summer 2023 collection, the company built unique IDs into its products that customers can scan to check authenticity and trace where they came from. That same passport can support care, repair, and resale over the object’s whole life.

The trail stays attached to the object, not the campaign. That means the connection to the brand and the evidence behind its claims can survive long after the original marketing has disappeared.

But this kind of proof has limits. It doesn’t prove truth, quality, or worth. A photo with a flawless origin trail can still mislead. A fully traceable product can still be bad. This answers a narrower question: Where did this come from, and what happened to it? Sometimes that matters enormously, and sometimes it doesn’t.

How to Play

Start by asking where knowing the origin of something would genuinely change its value. A documentary image, a handcrafted product, a claim about responsible sourcing. What would someone need to verify, and what evidence could you provide?

Then make sure that evidence stays with the thing itself, even when it’s copied, edited, forwarded, or resold. And be precise about what your proof establishes. Authenticity, provenance, and quality aren’t necessarily the same thing.

The Ultimate Visibility Paradox

Across all of this, a bigger realization emerges.

In an age when content can be generated and distributed almost without limit, much of what makes visibility valuable remains hidden from view.

It’s the trust built through relationships. The meaning people attach to shared experiences. The knowledge that comes from being somewhere no one else has been. The reputation accumulated over years. The ideas circulating in conversations you’ll never hear.

These things are not necessarily impossible to observe or measure. But they cannot simply be manufactured at the push of a button. And they rarely reveal their value in the instant they are created.

Perhaps, then, the Visibility Plays are also Invisibility Plays. Ways of investing in the less visible foundations of recognition, influence, and preference.

This is the ultimate paradox of visibility in the Synthetic Age: the easier it becomes to be seen, the more valuable the invisible becomes.

What’s Worth Measuring

And that leaves us with a challenge.

If the things that make visibility valuable are often the hardest to see, how do we know whether we’re successful in building them?

That’s where our next research begins.

What’s Worth Measuring? will explore what evidence helps us recognize valuable visibility across its different forms. We’ll examine where today’s measures remain useful, what they miss, and what else deserves attention.
We’ll also learn from the people building visibility. What are they trying? How do they know whether it’s working? What are they seeing that doesn’t show up in the numbers?

Because if we need to think differently about visibility in the Synthetic Age, we also need to rethink what success looks like, and how we know when we’re achieving it.

Want to explore what this means for your organization and contribute to the next phase of the research?

Reach out for a free session with an AI visibility advisor.

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