There’s a point where almost every B2B content strategy starts to sound a little familiar. Publish useful content. Demonstrate expertise. Build trust. Establish authority. Keep doing it consistently and, eventually, buyers will start seeing your brand as one of the voices worth listening to.
None of that is wrong. The problem is that almost everyone else has been given the same advice. Content Marketing Institute’s 2026 research found that 96 per cent of B2B marketers already create thought leadership. Among technology marketers specifically, that figure is 91 per cent.
Yet only seven per cent of B2B marketers describe their programmes as advanced and another four per cent as leading. So the challenge isn’t convincing organisations to publish thought leadership anymore. It’s making any of that content authoritative enough for buyers to genuinely trust and use.
This is one reason analyst-led content has become so valuable. A credible analyst can bring independent expertise, market knowledge and an outside perspective into a conversation that might otherwise stay firmly within the boundaries of what a brand already believes.
But putting an analyst's name on a webinar, report or podcast doesn't automatically turn it into trusted content either. There’s an important difference between having access to expertise and knowing how to use it. And that difference is where authority actually starts.
Publishing More Thought Leadership Doesn't Make You An Authority
There was a time when publishing an intelligent point of view was enough to make a company stand out. Now, buyers can find a whitepaper, webinar, LinkedIn post, podcast or 2,000-word guide on almost anything they can think of. If they can't find exactly what they want, generative AI can usually give them a reasonable explanation in a few seconds.
Content itself isn't scarce anymore. Neither, apparently, is thought leadership. Alongside the 96 per cent of B2B marketers producing it, Content Marketing Institute found that more than two-thirds of organisations still have relatively limited participation from their own specialists.
Thirty-seven per cent said fewer than five per cent of employees with relevant expertise actively contribute, while another 30 per cent put participation between five and 15 per cent. Technology marketing follows much the same pattern, with 77 per cent saying fewer than 15 per cent of knowledgeable employees contribute.
That's a slightly strange position to be in. Organisations are producing more content designed to demonstrate expertise while relatively little actual expertise makes it into the work. Generative AI adds another layer. CMI reported in its 2025 B2B benchmark that 81 per cent of B2B marketing teams were already using generative AI tools.
Used well, those tools can make research, planning and production much faster. They can also make it easier for hundreds of companies covering the same subject to produce perfectly competent explanations of roughly the same information. Which means the bar has moved.
A recognised analyst can help a brand clear it, but only if their expertise changes the content itself. Adding a quote from somebody respected may improve content credibility. Featuring their name prominently may attract attention. Neither necessarily gives a buyer anything they couldn't have learned from another well-researched vendor asset.
For that, the analyst has to do more than know the subject. They have to help make sense of it.
Analysts Add Interpretation, Not Just Expertise
Buyers aren't sitting around waiting for someone to give them information. They already have vendor websites, research reports, review platforms, search engines, social networks, industry communities, peers, consultants and increasingly capable AI tools. Depending on the purchase, they may be using several of these at once.
Sometimes that creates clarity. Sometimes it creates 14 browser tabs, three contradictory opinions and a growing suspicion that everybody is defining "best practice" in whatever way happens to favour what they're selling. This is where industry analysts can play a different role.
Forrester's 2025 research found that 68 per cent of B2B buyers rely on industry analysts for unbiased insights. Only industry peers ranked higher among external voices, at 72 per cent. Separate Forrester trust research found independent experts, including analysts and peers, are among the most trusted sources outside a buyer's immediate organisation and existing vendor relationships.
Their value isn't simply that they know more facts. In a world where information is abundant, knowing facts is increasingly the easy part. A good analyst helps buyers understand what those facts mean. That usually happens in four ways.
- Framing helps identify the real question. A vendor may want to discuss the growth of AI agents, for example, while an analyst may recognise that the more useful conversation is about what happens when organisations start giving those agents permission to act.
- Interpretation turns evidence into meaning. A market trend might tell buyers what is changing. An analyst can help explain why it is changing and what businesses might need to reconsider because of it.
- Challenge tests the assumptions around an argument. Rather than accepting that a new technology, model or strategy is automatically better, an independent expert can ask where it works, where it doesn't and what trade-offs come with it.
- And context places one claim within a much larger picture. Analysts see competing approaches, different operating environments and how similar problems play out across organisations. That wider view can help buyers judge whether something is genuinely significant or simply significant to the company talking about it.
This is the real difference between expert-led content and analyst-led authority. One tells the buyer what someone knowledgeable thinks. The other helps them think more clearly themselves.
Buyer-Trusted Authority Has To Be Useful At The Point Of Decision
That distinction becomes much more important once you remember what B2B buyers are actually doing with the information they consume. They aren't researching enterprise technology for fun. Well, some of us might, but we're probably not the benchmark. Usually, there's a decision somewhere in the background. And enterprise decisions can carry a lot of weight.
6sense's 2025 Buyer Experience Report gathered nearly 4,000 responses across North America, Asia-Pacific and Europe, the Middle East and Africa. The median purchase represented by respondents fell between US$200,000 and US$300,000, with buying groups often involving more than 10 people.
Buyers are also doing much of their thinking before sales gets deeply involved. According to 6sense, the balance shifted in 2025 from roughly 70 per cent independent research and 30 per cent seller engagement to closer to 60/40.
Even with that earlier contact, 94 per cent of buying groups had ranked their preferred vendors before the first conversation, and 77 per cent ultimately bought from the vendor they already preferred. So a lot is already happening while the buyer is consuming content. They're forming opinions. Comparing approaches. Deciding which risks worry them.
Working out which claims they believe. Trying to understand whether a new technology will solve the problem they have or simply introduce three new ones. At that point, another explanation of what a product does isn't necessarily what they need. Their questions are more likely to sound like:
- What does this mean for an organisation like ours?
- What aren't we considering?
- Which trade-offs come with this approach?
- When does this work well, and when doesn't it?
- Which risks deserve more attention before we commit?
Content that helps answer those questions has what we can call decision utility. It's a fairly simple idea. Content has decision utility when the knowledge, reasoning or context inside it can actually be applied to a decision. An analyst who explains why one architecture makes sense under certain conditions but creates problems under others is giving the buyer something to work with.
So is an analyst who takes a widely discussed market trend and identifies the operational consequence everybody seems to have skipped. That may not sound as exciting as announcing the next revolutionary transformation of everything. It is considerably more useful. And usefulness has another advantage in enterprise buying. It can travel.
Authority Has To Travel Through The Buying Group
The person reading your content may be the person you're targeting. They probably aren't the only person you're influencing. Enterprise buying decisions regularly move through technical teams, business leaders, finance, legal, procurement, compliance, security and operations.
Some stakeholders will engage directly with vendors. Others may enter the discussion much later, when somebody asks them to review a business case, approve a budget or decide whether the proposed risk is acceptable. Edelman and LinkedIn call these less-visible stakeholders "hidden buyers".
Their 2025 research found that 63 per cent spend more than an hour each week consuming thought leadership, despite often having limited interaction with sales teams. More importantly, they're doing something with what they consume. Fifty-one per cent said high-quality thought leadership helps them convince C-level executives, while 52 per cent said it helps them persuade other members of the buying group.
Seventy-one per cent considered thought leadership more effective than traditional sales and marketing materials for demonstrating a vendor's potential value. That's where independent interpretation becomes particularly useful. A buyer can repeat a vendor's claim internally. But the next person in the room can quite reasonably ask where that claim came from.
Analyst-led content can give them something stronger to work with: evidence they can reference, reasoning they can repeat, context for why an issue deserves attention and an honest explanation of the trade-offs involved. It can also give different stakeholders a shared language for discussing something complicated.
The security leader and finance director may care about very different parts of an AI implementation, for example. But an analyst who explains the relationship between capability, cost, operational dependency and risk can give both of them a common frame for the conversation.
This isn't about making content easier to remember so somebody can repeat the company story perfectly in a meeting. It's about making the thinking strong enough to survive being questioned. And if that's the outcome marketers want, analyst-led content needs to be designed very differently from a branded interview with an expert attached.
Build The Content Around The Analyst's Thinking
The easiest way to waste a good analyst is to decide exactly what they're going to say before you invite them into the room. If the topic, argument, questions and conclusion have all been predetermined, you're not really asking for independent expertise. You're asking for professional confirmation.
Buyer-trusted authority starts much earlier than the recording, interview or writing process. It starts with choosing a question where an analyst's judgement can genuinely change what the audience understands.
Start with the buyer's uncertainty
Most marketing teams start content planning from one of two places: what the company wants to talk about or what the audience appears to be searching for. Both are useful. Neither necessarily identifies the best opportunity for analyst insight. A stronger starting point is to look for buyer uncertainty.
- Where are people struggling to compare options?
- Which technologies are changing faster than established guidance can keep up?
- What are buyers finding difficult to evaluate, justify or explain internally?
- Where does the obvious answer become less obvious once implementation, cost, governance or risk enters the picture?
Those are the questions where interpretation earns its place. It also means accepting that the strongest topic may not put your product at the centre. Sometimes the more useful discussion is the market change surrounding it, the operational problem creating demand for it or the trade-off buyers have to understand before they can decide whether they need it at all.
The analyst's job then becomes investigating the question with the buyer, rather than arriving to confirm an answer the brand has already chosen.
Give the analyst room to disagree
Independence gets awkward when the independent person says something you weren't expecting. That's also part of the point. If an analyst can only agree, reinforce the approved message and politely move past anything that complicates the argument, buyers aren't getting much of the outside perspective they were promised.
Good B2B thought leadership needs room for qualification. An analyst might agree that a technology has enormous potential while questioning whether most organisations are ready for it. They might recognise a genuine market shift but think the timeline is being exaggerated.
They may point out that an approach works brilliantly for one type of organisation and creates unnecessary complexity for another. None of those positions make the content hostile to the sponsoring company. They make the conclusion less predetermined. Sophisticated buyers understand that complicated enterprise decisions rarely come with one perfect answer.
Acknowledging limitations can therefore strengthen the conversation because it gives them a more realistic basis for judgement. If an approach isn't suitable for everybody, letting the analyst explain who it is suitable for is usually more useful than pretending otherwise.
Turn evidence into implications
Data can tell you that something is happening. It doesn't always tell you what to do about it. This is another place where analyst-led content can go far beyond a normal research asset. Say a survey shows enterprise adoption of a particular technology is accelerating. That's useful evidence.
But a buyer may still need to know whether faster adoption changes their competitive position, security exposure, staffing needs, infrastructure requirements or investment priorities. The analyst can connect those points.
Instead of stopping at "adoption is increasing", the conversation becomes: why is it increasing, what changes when it does, which organisations are likely to feel that change first and what should leaders be watching for?
The answer may be operational. It may be technical, financial or strategic. Often it's a combination. This is also where trade-offs belong. Strong analysis doesn't flatten every decision into a best-practice checklist. It shows the conditions behind different choices so buyers can work out which ones apply to them.
The evidence gives the conversation credibility. The implications give it value.
Leave the buyer with something reusable
The strongest piece of thought leadership doesn't end when somebody closes the tab. Something from it stays useful. Maybe it's a set of questions they take into their next internal meeting. It could be criteria for comparing two approaches, a simple framework for thinking about an emerging problem or a trade-off they hadn't considered before.
Sometimes it's just better language. Enterprise technology gets complicated quickly, particularly when a specialist has to explain a technical concern to someone who controls the budget but doesn't spend their day thinking about infrastructure, cybersecurity or data architecture.
An analyst who can translate that complexity without flattening it gives the buyer language they can reuse. That's a much higher bar than asking whether the content was memorable. The better question is whether the buyer can do something with what they remember.
Know When Analyst-Led Content Is Actually Working
Of course, this creates an awkward measurement problem. Views are easy. Trust isn't. Content Marketing Institute found that 80 per cent of B2B marketers measure thought leadership through audience engagement such as views, downloads and shares. Sixty-three per cent look at business impact.
Only 38 per cent measure brand authority. Among marketers CMI identifies as thought leadership pacesetters, that rises to 51 per cent. Technology marketers measure a little more aggressively, with 89 per cent tracking engagement, 73 per cent business impact and 42 per cent brand authority.
None of these metrics are wrong. They simply answer different questions. A download tells you somebody wanted the asset. Time spent can tell you whether they engaged deeply with it. A lead or opportunity can show that content played some role in commercial activity. Authority develops over a longer period and through a combination of signals.
For analyst-led content, that could include repeated engagement with expert assets, stronger participation from relevant seniority levels or buying functions, buyers returning to deeper content, analyst insights appearing in later conversations, or sustained interest around a question or framework introduced through the programme.
You may also see evidence further along the journey. A prospect references an analyst's argument during a call. Sales hears the same question repeatedly. A piece of content keeps appearing in opportunities long after its launch campaign ended.
None of those creates a perfect "authority score", and trying to invent one probably creates more confidence in the dashboard than the underlying data deserves. The measurement should come back to the job you designed the content to perform. There's also a simpler test you can apply before looking at any analytics:
Would this content still help the buyer make sense of the decision if every promotional reference to the brand disappeared?
If the answer is yes, you've probably created something with independent value. If the answer is no, the analyst may be lending credibility to the marketing without creating much authority of their own.
Authority Can't Be Borrowed Forever
There is a temptation with analyst programmes to think of credibility almost like a transfer. The analyst is respected. The analyst appears beside the brand. Some of that respect rubs off. To an extent, it can. But borrowed credibility has a ceiling.
The brand still chooses the topic. It commissions the work. It decides how much independence the expert is given and what happens to the insight afterwards. If every analyst conversation somehow arrives at exactly the conclusion the sponsoring company wanted, audiences will eventually understand the format for what it is.
The stronger opportunity is more gradual. Instead of using analysts as endorsement mechanisms, brands can use independent expertise to improve the standard of the conversations they're known for creating. One useful discussion becomes another. Different experts challenge different assumptions.
Buyers begin to recognise that the content isn't simply going to tell them why the company is right. It's going to help them understand an issue they care about. Over time, the authority shifts. Not from the analyst to the brand in one clean transaction, but through repeated association with useful, credible thinking.
LinkedIn and Ipsos' 2026 Credibility Code research reflects a wider version of this idea, looking at credibility as something reinforced across several identifiable voices, including brands, employees, customers and creators rather than corporate messaging operating alone. Its analysis also found stronger predicted brand and consideration effects from creator-led paid content than standard video.
Analysts aren't interchangeable with creators, customers or employees, of course. Their particular value comes from the independent judgement and market perspective they bring. But the broader principle holds. A brand doesn't become authoritative simply because it stands next to somebody who already is.
It earns authority by becoming consistently associated with thinking buyers find worth returning to.
Final Thoughts: Authority Is Earned Through Useful Interpretation
B2B buyers aren't struggling to find information. They're struggling to decide which information deserves their confidence, what it means in their particular situation and what they can safely do with it. That's where analyst-led content has its strongest role.
A credible analyst can frame a difficult question differently, connect evidence that might otherwise sit in separate places, challenge assumptions and explain the implications behind a market change. When buyers can take that reasoning and use it to evaluate an option, question a claim or have a stronger internal discussion, expertise becomes something more useful than another trust signal.
It becomes part of the decision. That usefulness is increasingly valuable because enterprise buying isn't getting simpler. LinkedIn's 2026 research into high-value technology purchases found only 34 per cent of buyers felt they could defend their decision if it went wrong.
Its findings point towards buying groups placing significant value on defensibility, shared confidence and the ability to justify a choice across stakeholders with different priorities. At the same time, the amount of information available to those buyers will keep growing. AI can already produce explanations, comparisons and summaries faster than any content team could hope to keep up with manually.
Producing more information is unlikely to be where brand authority is won. Judgement is harder to replicate. So is context. Challenge. A genuinely independent point of view. The kind of thinking that helps someone understand a difficult decision better than they did before.
For technology brands with something meaningful to add to those conversations, EM360Tech's analyst network creates space for that kind of expertise to meet the questions enterprise buyers are already trying to answer. Because the future of thought leadership probably isn't about who can publish the most. It's about whose thinking buyers still trust when the answer isn't obvious.