
Analyst Relations

Spotlight's 2026 B2B Influencer Marketing Report draws on two surveys — one of B2B influencers, one of the practitioners who run influencer relations programs — plus performance benchmarks from campaigns managed by Spotlight's Influencer Relations practice. Below is the full report.
It's a strange time to do this for a living. It's also the best one.
Friends, peers and colleagues — just as B2B influence matured into something rigorous and provably valuable, the ground under it shifted completely. Here's the good news: the shift is in our favor.
AI isn't a threat to what we do. It's the proof. Large language models don't trust paid placements. They don't reward SEO-stuffed brand copy. They index the signals professional audiences have already validated — the content practitioners share because it's actually good, the expert who explains the category better than any report, the customer whose outcome confirms what the marketer only claimed. Those inputs shape what AI says about your brand when a buyer asks. And they are, almost entirely, the outputs of a well-designed influencer program.
When I started specializing in B2B influence, it wasn't a strategy yet. We'd find people who made great content, sincerely praise their work, and ask if we could make something worthwhile together. I'm not suggesting we go back to doing all of that by hand. But the first principles that made it work — give creators a voice, not a script; be where your audience actually is; and measure what actually matters — matter more now than they ever have.
This handbook is built on those principles, updated for the world we operate in. It's practical, a little opinionated, and built on real data from the influencers and practitioners we work with every day. More than that, it's built on a conviction: the brands investing in genuine influencer relationships today are building the most durable market presence available — one that compounds, and shows up exactly when a buyer is forming their view.
That's what we're here to help you build.
Influence isn't a campaign you run. It's a position you earn — and then keep earning.
— Ashley Zeckman, Influencer Relations Practice Lead, Spotlight
For this report, we surveyed both sides of every collaboration: the B2B influencers who create and carry the content, and the practitioners who run influencer relations programs inside brands. That two-sided design is what lets us show where brands and creators agree, where they don't, and what's changed.
Stat | What it means |
|---|---|
86% | of influencers prefer to co-create with brands — not amplify finished content. Only 14% prefer amplification. |
78% | of practitioners name brand awareness and lead generation as their top challenges — tied at the top. |
74% | of influencers already use AI tools to enhance how they create content. Only 15% report no impact. |
44% | of practitioners say finding the right talent is their single biggest obstacle to collaboration. |
The thread that ties them together: Influencers want to make something real with you, AI rewards exactly that kind of content, and the brands struggling most are the ones that haven't figured out how to find and partner with the right voices. This report is about closing that gap.
This report draws on creator and client research conducted by Spotlight in Q1 2026: an influencer survey and a practitioner survey, alongside program performance benchmarks across campaigns managed by the Spotlight Influencer Relations practice. Fee benchmarks reflect USD-denominated responses only and are reported as averages by tactic. They are intended as negotiating context, not a rate card. A meeting is classified as "influenced" when influencer content was a tracked touchpoint (UTM, creator ID, or unique landing page) or cited by the prospect as a discovery source. Influencer predictions are published with consent via the survey opt-in. Practitioner quotes are used only where the respondent consented to be featured. Client interview content is used with permission.
The 2024 report was published by Onalytica. Onalytica went into administration in early 2026 and was subsequently acquired by Spotlight.
Large language models (LLMs) are trained to find credible signals in an ocean of content, and they're remarkably good at it. They down-weight anything that reads like marketing copy and up-weight content that demonstrates genuine expertise — specific, opinionated, grounded in real experience, and validated by the response it earns from professional audiences.
Co-created content with credible practitioners is precisely that kind of content. It signals expertise through specificity. It carries the influencer's established authority. And because it's actually useful, it earns the engagement signals that models read as confirmation. This isn't a future risk to monitor — it's a present-tense shift in how your category is being described, by whom, and to whom.
The shift: the brands that win AI-mediated discovery aren't the ones with the most content. They're the ones with the most credible content — produced by, validated by, and distributed through the voices the model was trained to trust.
The creators you want to work with have already folded AI into how they work — as an accelerant, not a replacement for their voice.
Use of AI | Share of influencers |
|---|---|
Enhanced content creation with AI tools | 74% |
Improved analytics to understand audiences | 38% |
Streamlined campaign management | 23% |
No impact currently | 15% |
Read it this way: three in four influencers use AI to make their work better, but the scarce, valuable thing — the thing models and humans both reward — is the genuine human perspective AI can't manufacture. That's the asset your program is really buying.
Tools, tactics and best practices change. The core conditions that make B2B influencer marketing work do not. What follows are not just program management principles — they are market principles. They describe why earned voices behave differently from paid or owned channels, why that difference matters more now than it ever has, and what it means in practice to design a program that creates durable value.
There's no merit badge for ventriloquism. Your audience wants an influencer's genuine perspective — not your brand voice coming out of someone else's account. And the practitioners you most want to work with don't want to be puppets. They want a creative partnership, not a cut-and-paste brief.
There's a deeper reason this matters now: authenticity isn't just an audience preference, it's a structural input into how AI assesses credibility. Models have effectively learned the difference between an expert writing from real knowledge and a marketer ventriloquizing through an expert-shaped format. The first earns representation. The second, increasingly, does not.
Preference | Share |
|---|---|
Co-create with the brand | 86% |
Amplify finished brand content | 14% |
Challenge | Share |
|---|---|
Limited budget or compensation | 42% |
Long lead times for approval | 32% |
Other | 16% |
Navigating brand expectations | 7% |
Lack of creative freedom | 3% |
If you've struggled to land top practitioners, this is why: just 14% enjoy amplifying brand content. Nearly nine in ten want to co-create. The brands that win the best voices are the ones offering a partnership, not a press release. And note the flip side — the influencer's own top gripes are budget (42%) and slow approvals (32%). Fix those two and you're already ahead of most brands.
The AI signal: models infer authority from three things — the author's established expertise, the specificity of the content, and the engagement it earns. Genuinely co-created content carries all three. Scripted-and-attributed content carries none. That's why co-creation isn't just a best practice — it's the mechanism by which your content earns durable representation in AI answers.
Call it the leave-the-comfort-zone principle. When your brand steps outside its preferred channels, it finds new audiences and earns presence in conversations it would otherwise never join. But the deeper point isn't channels — it's pools of trust. Different audiences form trust in different places, and coherent presence across them is what compounds.
Channel | Average rank |
|---|---|
1.4 | |
Brand website | 3.3 |
YouTube | 3.8 |
Podcasts | 4.0 |
5.7 | |
X | 6.2 |
TikTok | 7.5 |
8.2 | |
8.4 | |
Bluesky | 8.5 |
Threads | 8.9 |
An honest note on the shiny stuff: LinkedIn is the runaway #1 for the second straight report — followed by the brand's own website, YouTube, and podcasts. That's the credibility core. Threads and Bluesky, meanwhile, rank dead last among influencers right now. Emerging platforms are a real opportunity — influencers adopt them earlier than brands — but treat them as a low-risk experiment alongside LinkedIn, not a replacement for it. Be early, not absent; just don't bet the program on a feed your audience hasn't moved to yet.
The goal isn't channel overload — it's translation. A talk becomes a clip stack. A webinar becomes ten shorts. An interview becomes a carousel. Same story, native format. Pair a practitioner clip with an executive post and you create a credibility loop: the creator earns attention, the executive adds organizational weight, and the audience sees two independent voices confirming one idea.
Why it matters | The case |
|---|---|
Visibility | ~95% of your buyers aren't in-market today. Influencer presence keeps you in the room until they are. |
Engagement | Fifty execs in real dialogue beat five thousand passive scrollers. Quality of engagement is itself a trust signal. |
Community | Arrive early on a new platform with useful content and you help define the category there. You can't buy that later. |
Good marketing runs in a loop: publish, measure, optimize, repeat. It only works if you measure the right things — and most programs don't. They track traffic and impressions while executives want pipeline. The good news: practitioners know exactly what they're chasing.
Challenge | Share |
|---|---|
Increasing brand awareness | 78% |
Generating leads | 78% |
Driving marketing ROI | 56% |
Improving brand trust & credibility | 33% |
Delivering impact on reduced budget | 33% |
Metric practitioners track | Share |
|---|---|
Engagement rates | 89% |
Lead generation | 67% |
Website traffic | 56% |
Share of voice | 44% |
Direct sales impact | 33% |
Sentiment analysis | 22% |
Awareness and lead gen are tied at 78% as the top practitioner challenges — which is exactly why full-funnel measurement isn't a nice-to-have. The metric that translates between marketing and the commercial team is influenced meetings: a meeting created where influencer content was a tracked touchpoint or cited source.
UTMs on every link · a creator ID field per campaign · influencer names in "How did you hear about us?" · campaign dates matched to meeting requests · unique landing pages per influencer.
Metric | What it tells you |
|---|---|
Influenced meetings | Meetings where influencer content was a tracked touchpoint or cited source. The headline number. |
CPL-i (cost per influenced lead) | Program efficiency in the language finance actually speaks. |
Pipeline acceleration | Days-to-meeting, influenced vs. baseline. The velocity argument. |
AI narrative share | How consistently and positively your brand shows up in LLM answers for your category. |
Beyond the dashboard: as AI-mediated research becomes the norm, measurement extends past the dashboard: how is your brand described by LLMs, and are your practitioner voices cited? AI narrative share is the emerging metric — and the one we expect to reach the boardroom next.
We ran the same two-sided survey in 2024 and again for 2026. Four comparisons tell the story.
Year | Finding |
|---|---|
2024 | Co-created content ranked among most successful tactics — 75% |
2026 | Actively prefer co-creating over amplifying — 86% |
Takeaway: in 2024, co-creation was the best-performing tactic. In 2026 it's the stated preference of 86% of influencers — the question moved from "does co-creation work?" to "why would you do anything else?"
LinkedIn was #1 in 2024 and remains #1 in 2026, with an average rank of 1.4. What's new in 2026 is the brand's own website and podcasts climbing into the top four, and Threads/Bluesky landing at the bottom despite the hype. Owned surfaces and audio are quietly winning.
Tactic | 2024 avg | 2026 avg | Change |
|---|---|---|---|
Speaking at an in-person event | $17,000 | $10,406 | ↓ $6,594 |
In-person workshop | $18,500 | $10,143 | ↓ $8,357 |
Authoring eBooks or whitepapers | $10,000 | $9,692 | ↓ $308 |
Event attendance & coverage | $4,500 | $8,038 | ↑ $3,538 |
Virtual workshop | $11,500 | $5,895 | ↓ $5,605 |
Speaking at an online event | $12,000 | $4,517 | ↓ $7,483 |
Live stream host | $8,000 | $4,322 | ↓ $3,678 |
Newsletter sponsorship | $4,500 | $4,130 | ↓ $370 |
Podcast guest (1 episode) | $2,000 | $3,533 | ↑ $1,533 |
Blog/article creation | $3,000 | $3,431 | ↑ $431 |
Webinar | $10,000 | $3,085 | ↓ $6,915 |
Podcast host (1 episode) | $3,500 | $2,750 | ↓ $750 |
Social promotion | $3,500 | $1,818 | ↓ $1,682 |
Read with care: this is directional, not gospel. The honest pattern: high-touch live and authored work still commands the top fees, while routine digital promotion has softened. Treat these as negotiating context, not a rate card.
In 2024 they said… | In 2026 they're saying… |
|---|---|
Micro-influencers will rise. Authenticity over reach. AI will help with discovery. Long-term partnerships beat one-offs. Mostly about tactics and tools. | Brands are buying trust, not media. Audiences will reject bad AI content and reward the human touch. Influencers become strategic partners. Now about positioning and proof. |
Takeaway: the conversation matured from "which influencers and what content" to "what role influence plays in the business."
We asked the influencers in our survey for their take on where B2B influence goes next. Here, in their own words.
In 2025, brands will start to move, slowly, from seeing influencer marketing as paid media to understanding they are buying trust and relationships.
— Timothy Hughes, DLA Ignite
Bite-size content will become more popular. Short clips, highlights from in-person events, and authentic nuggets of wisdom will rise as we become inundated with messaging from brands trying to get our attention.
— Theodora Lau, Unconventional Ventures
Influencers will evolve into strategic partners, driving thought leadership and business growth beyond just content creation.
— Pascal Bornet, Irreplaceable with AI
Audiences will get fed up with bad AI content. That will be the moment brands go all in on the human touch again, tell stories, and provide experiences. AI is a tool, not a result.
— Christopher Isak, TechAcute
B2B influencer marketing will evolve toward evidence-based thought leadership. The key shift will be from vanity metrics to verified business impact.
— Bernard Marr, Bernard Marr & Co
Influencer marketing is more like advertising than promotion. We can amplify and bring an audience to your message, but we can't make them drink.
— Scott Taylor, MetaMeta Consulting
We'll see a shift from "influencers" in B2B to "thought leaders" taking center stage, increasingly using owned newsletters free from algorithmic limits.
— Christian Banach, Christian Banach
This will be the year of the Connector. People relate to people. People want to buy from people. But first, people want to connect with people.
— Rob Durant, Flywheel Results
A good program puts the right content in front of the right audience. A market-defining one does that — then amplifies it across multiple independent pools of trust at once. B2B buyers form views through three of them, and AI models weight each differently when they describe your position.
Trust pool | What it establishes | Who it carries weight with |
|---|---|---|
Analyst validation | Category credibility. Answers: "Is this vendor a serious player?" | Procurement, legal, and senior execs who lean on third-party validation to de-risk a decision. |
Customer advocacy | Outcome credibility. Answers: "Has this actually worked for orgs like mine?" | Operational buyers and champions who need proof, not positioning. |
Practitioner influence | Method credibility. Answers: "Do people who do this work respect this approach?" | Functional buyers who translate vendor claims into implementation reality. |
Each pool is independent — an analyst doesn't speak for your customers; a customer doesn't explain your method; a practitioner wasn't hired to endorse you. That independence is exactly what makes each signal credible. When a buyer meets your brand across all three, the effect isn't just awareness. It's a belief that resists competitive counter-messaging, because the buyer didn't get it from you.
One voice says it, and an AI notes it. Three independent voices say it coherently, and an AI describes it as category consensus. That's the compounding effect.
The practical implication: don't design influencer relations in isolation. When you build a brief, the question isn't only "what do we want this influencer to say?" It's "does this align with how analysts frame the category and what our customers are reporting?" Point all three the same way and the effect compounds because you are now orchestrating the influences. Let them diverge and you get noise instead of signal.
This is not a prediction. Buyers are already asking LLMs which vendors lead, which approaches practitioners respect, and which brands have credible outcomes. The answers are shaped by years of content. Start building presence before your competitor has it — not after.
86% of influencers prefer to be part of the creative process. As AI-generated content floods every channel, genuine human expertise becomes the scarce asset — and the high-signal one.
Programs that survive budget cycles connect activity to pipeline. Influenced meetings is the metric that translates between marketing and the commercial team — and AI narrative share is coming up fast behind it.
Pair practitioner content with executive engagement and the compound effect on engagement quality and meeting creation is significant. Design programs to make exec co-creation easy, not optional.
Guidance | |
|---|---|
Do | Use AI to accelerate research, scripting and repurposing (e.g., a carousel from an audio recording). |
Do | Set expectations with influencers for authentic, human-created final content. |
Do | Mandate human editorial review to finalize all content. |
Don't | Use AI to create a fake likeness or imply an endorsement that doesn't exist. |
Don't | Use AI to edit or replace an influencer's voice in final published content. |
Don't | Publish AI-generated content the influencer hasn't substantively shaped. |
Suggested agreement clause:
"You're welcome to use AI tools to support research, brainstorming and outlining. But we ask that you shape and create the final version yourself. We'll review all content manually and may request edits if something reads as generic — because what we publish together should reflect the expertise and distinctive voice that made us want to work with you."
B2B influence has come a long way from cold emailing for a quote. It's now a measurement-driven discipline sitting at the intersection of two of the biggest shifts in buying behavior in a generation: buyers took control of their own research and trust peer and practitioner voices over brand messaging — and large language models became the surface where that preference plays out most consequentially.
The brands that appear on the right side of that synthesis — consistently, credibly, across multiple trust pools — win the invisible shortlist. This report gives you the principles, the data, and the programs to get there. The pledges aren't tactics; they're the conditions under which trust compounds.
Book a working session. We'll map your objectives to the right 90-day program, connect your influencer strategy to your broader influence ecosystem, and lay out the path to compounding returns.