Skip to content
MarketScale

The B2B Marketing Index

The State of
B2B Marketing.

One report fusing a cross-platform AI-visibility benchmark, a twelve-year content corpus, what content buyers actually act on, and the live signal from the field. A data-backed benchmark of B2B marketing.

Reporting period Mar 17 – Jun 15, 2026

5
AI engines benchmarked
1,000 AI responses analyzed
48,265
Brand mentions analyzed
28,730 citations measured
20,179
Articles in the corpus
12 years of B2B coverage
20,470
Distinct B2B topics tracked
across every vertical

Why this matters

Buyers do most of their homework before they ever raise a hand

By the time a buyer talks to sales, the shortlist is largely set. The work of marketing has moved earlier, into the content buyers and AI engines find on their own.

~70%

of the buying journey is complete before a buyer contacts sales.

6sense

87%

of B2B marketers say content marketing built brand awareness in the last year.

Content Marketing Institute, 2025

Our read: buyers self-educate first, so the content that AI engines and buyers can find early is the new top of funnel. The sections below show where brands get named, cited, and acted on across that corpus.

The AI-answer layer

Where B2B buyers get their information now

Across 5 major AI engines: how often they name B2B brands, and how often they actually cite a source for it. AI Overviews name-drops brands most (42.5%), but cites sources in only 27.6% of answers.

Named vs. cited, by engine

AI Overviews15 pts uncited
43% named
28% cited
Gemini32 pts uncited
40% named
8% cited
AI Mode8 pts uncited
35% named
27% cited
ChatGPT22 pts uncited
33% named
10% cited
Perplexity30 pts uncited
31% named
1% cited

From mention to citation

Brand mentioned
362
Mention backed by a citation
148 · 41%

Of every brand mention AI answers produce, the share that arrives backed by a source citation.

High Mention, Low Citation: AI Overview · 42.5% mention rate; 27.6% citation rate

Optimize for AI Overview for balanced mention and citation rates.

Gemini's Mention-Citation Discrepancy · 39.5% mention rate; 7.6% citation rate

Focus on enhancing content credibility and third-party validation.

AI Mode's Balanced Approach · 0.78 citation to mention ratio

Target AI Mode with high-quality, citation-ready content.

ChatGPT's Mixed Visibility · 32.5% mention rate; 10.1% citation rate

Evaluate content for narrative consistency.

The attention map

What B2B actually talks about

Twelve years of B2B publishing across every vertical, 2017 to 2026: what the market writes about, and how that focus has shifted.

Publishing volume by year
180
'17
3.7k
'18
2.0k
'19
2.2k
'20
2.4k
'21
1.8k
'22
4.3k
'23
1.9k
'24
1.3k
'25
416
'26

Publishing volume was down 33% in 2025 vs. 2024. 2026 is in progress.

Corpus at a glance
20,179
articles published
20,470
distinct topics
15,228
distinct tags
Top topics by article volume
Education Technology0.5% of corpus
102
Workforce Development0.4% of corpus
77
Applied Digital0.4% of corpus
74
Digital Transformation0.3% of corpus
59
AV Rental Equipment0.3% of corpus
59
Leadership Development0.3% of corpus
52
Future Of Work0.2% of corpus
50
Professional Development0.2% of corpus
45
Future Of Education0.2% of corpus
43
AI Infrastructure0.2% of corpus
40
Coverage by vertical
Professional AV22% of corpus
4,501
Engineering & Construction16% of corpus
3,142
Healthcare13% of corpus
2,555
Education Technology11% of corpus
2,251
Energy6% of corpus
1,180
Retail6% of corpus
1,140
Software & Technology5% of corpus
1,091
Food & Beverage4% of corpus
850

What buyers act on

What content actually performs

Podcast episodes surged significantly in momentum by 9 ranks, hinting at a strategic shift towards audio-driven content.

Performance vs. how much gets made
4
high-effort formats produced at below-median volume: the trust content that gets made the least
4
high-effort formats that also carry real volume: the workhorses programs lean on most
FormatProduction effort (mean level, 1–5)Volume
Field insight
High trust · under-produced
L2.7
4% of volume
Executive POV
High trust · under-produced
L2.7
1% of volume
Podcast episode
High trust · under-produced
L2.6
4% of volume
Analyst-style explainer
High trust · under-produced
L2.5
2% of volume
Event recap
L2.9
10% of volume
Webinar clip
L2.6
5% of volume
Expert interview
L2.5
6% of volume
Customer story
L2.5
6% of volume
Product walkthrough
L2.4
13% of volume
Sales enablement clip
L2.2
3% of volume
Short-form video
L2.1
6% of volume
Internal expert breakdown
L2.0
1% of volume
Vertical market commentary
L2.0
1% of volume
Social proof post
L1.7
9% of volume
High-effort, under-producedEverything elseBar length = mean production effort
Format performance leaderboard
OtherTier 229% of volumeacross 60 channels
63
Event recapTier 310% of volumeacross 29 channels
52
Product walkthroughTier 213% of volumeacross 34 channels
50
Expert interviewTier 36% of volumeacross 14 channels
42
Podcast episodeTier 34% of volumeacross 12 channels
41
Customer storyTier 26% of volumeacross 13 channels
41
Field insightTier 34% of volumeacross 11 channels
41
Webinar clipTier 35% of volumeacross 13 channels
40

Early-stage formats are shown as directional and will firm up over time.

Credibility signals that move buyers
Operational specificity
92
Named creator / expert source
89
Real production investment (Level 3-5)
85
Structured narrative arc
82
Multi-format distribution
78
Visual brand consistency
75
Production-tier distribution
82
Tier 1
123
Tier 2
184
Tier 3
7
Tier 4
1
Tier 5

Across 16 formats and 9 industries.

From the field

What the data points to

The patterns that keep surfacing across B2B marketing teams, ordered by how broadly and how often each one shows up.

Signal 01

Why frozen headcounts are the real content bottleneck in B2B

Across multiple B2B organizations, marketing leaders report that frozen headcounts and reduced budgets are preventing them from investing in new content production services or expanding existing ones. Teams are operating with minimal staff, sometimes relying on interns or shared resources, and are actively declining new vendor engagements because of financial constraints. This pattern appears consistently across industries including healthcare, technology, and professional services.

Frozen headcounts and reduced budgets are now the primary blockers to content investment across B2B marketing teams. Organizations in healthcare, technology, and professional services are operating with minimal staff and declining new vendor engagements outright.

B2B marketing teams are entering 2025 and 2026 with fewer resources and higher output expectations. Frozen headcounts are not a temporary condition; they are reshaping how teams evaluate and engage content partners.

Across industries including healthcare, technology, and professional services, marketing teams are declining new vendor engagements because budgets simply do not allow for expansion. The constraint is structural, not situational.

Signal 02

Why B2B content programs stall and what the working models have in common

Many B2B organizations report that their marketing function is staffed by one to a few people, creating significant bandwidth constraints that prevent consistent content production. Teams acknowledge the need for more output but lack the internal capacity to execute without external support or platform tooling. This resource gap is frequently cited as the core reason teams explore user-generated content or platform-assisted production models.

Most B2B marketing teams run on fewer than five people. That headcount cannot sustain the content volume modern go-to-market demands, which is why platform-assisted production and user-generated models have moved from experiment to operational baseline.

Most B2B marketing functions are staffed by a handful of people. The gap between what those teams can produce and what their pipeline requires is where content programs stall.

Bandwidth is the most common reason B2B marketing teams fall short on content output. The teams closing that gap are not hiring their way out of it. They are building systems that extend what their existing people can do.

Signal 03

The production gap: why B2B video output stalls on lean teams

B2B marketing teams with limited headcount are consistently unable to maintain a regular cadence of video content production. Teams report that small staff sizes, competing priorities, and a lack of dedicated production resources create gaps in content output. This is a recurring operational challenge rather than a strategic disagreement about the value of video.

Lean B2B marketing teams consistently cite headcount and competing priorities as the primary reason video content production stalls. The gap is not strategic. Teams that want to produce video regularly are blocked by operational constraints, not ambivalence about video's value.

Most B2B marketing teams believe in video. Few have the operational infrastructure to produce it consistently. The gap between intent and output is a resource problem, not a strategic one.

Small marketing teams face a structural disadvantage with video: production requires time, coordination, and dedicated effort that competes directly with every other demand on limited staff.

Signal 04

Trade shows are content triggers. Between them, most B2B teams go quiet.

B2B organizations consistently treat upcoming industry events and trade shows as deadlines that activate content production planning. Teams coordinate video shoots, interview logistics, and promotional materials specifically around these events. Outside of event windows, content production cadence tends to be lower and less structured.

Industry events are the primary forcing function for B2B content production. B2B marketing teams coordinate video, interviews, and promotional materials around trade show calendars, and content output drops sharply when no event is on the horizon.

For most B2B marketing teams, content production ramps when a trade show is approaching and stalls when one is not. The event calendar is, in practice, the editorial calendar.

B2B organizations treat upcoming industry events as hard deadlines that activate coordination across video production, interviews, and promotional materials. Outside those windows, output and structure tend to decline.

Signal 05

Why B2B marketing programs stall during organizational transitions

B2B accounts are pausing or slowing marketing decisions due to internal organizational changes such as leadership departures, restructuring, layoffs, or onboarding of new executives. These transitions create decision-making gaps where no single owner can approve new initiatives. The effect is a temporary but recurring freeze on platform adoption and content strategy commitments.

When B2B organizations restructure, marketing programs stall. Leadership departures, layoffs, and executive onboarding create approval gaps that freeze platform adoption and content strategy decisions, sometimes for quarters at a time.

Organizational change is one of the most common reasons B2B marketing programs pause. When decision-making authority shifts, platform adoption and content commitments are often the first initiatives to slow.

Leadership transitions create a window where no single owner can approve new spend or strategy. For B2B marketing teams, that window can last weeks or months depending on how quickly new executives establish priorities.

Signal 06

B2B content strategy is being rewritten around AI discoverability

B2B marketing teams are increasingly prioritizing content strategies based on how their brand appears in AI-generated search results. Organizations are exploring tools and approaches to monitor and improve their visibility in AI responses, and some are shifting from traditional SEO tactics toward human-authored content and thought leadership to remain discoverable. This shift is creating urgency around content volume, quality, and strategic positioning.

AI generated search results are reshaping how B2B buyers discover vendors. With nearly nine in ten B2B buyers now using AI tools during research, brand visibility in those outputs has become a strategic priority, not a secondary concern for content teams.

B2B buyers are conducting more of their research through AI tools, which means discoverability now depends on what AI systems surface, not just what search engines rank. Content volume, authority, and topical depth are the variables that matter.

Traditional SEO tactics are losing ground in a market where AI generated answers, not blue links, shape first impressions. B2B marketing teams are redirecting investment toward human authored thought leadership to stay visible at the moment of discovery.

Signal 07

B2B content strategy in an AI search environment

Multiple B2B marketing teams are actively adjusting their content strategies to optimize for AI-driven search and large language model visibility, rather than traditional SEO alone. Teams are exploring written content formats, structured data, and content ecosystems that improve discoverability in AI-powered search environments. This shift is influencing decisions about video versus written content prioritization.

B2B marketing teams are reorienting content strategy around AI search visibility, shifting priority from traditional SEO signals to structured, written content ecosystems that surface reliably in large language model environments. The format question is no longer aesthetic. It is a discoverability question.

B2B content strategy is shifting from traditional SEO optimization toward visibility in AI-driven search environments, where structured written content consistently outperforms other formats in discoverability.

As large language models become a primary research surface for B2B buyers, the teams building dense, well-structured written content libraries are establishing a durable visibility advantage.

Signal 08

Why B2B teams can't keep up with testimonial video demand

B2B organizations across sectors identify customer testimonial videos and case study content as high-value production priorities. These formats are seen as critical for building credibility with prospects and supporting sales enablement. Despite the demand, production of these formats is frequently delayed due to resource and scheduling constraints.

Customer testimonial and case study video rank among the highest-priority B2B content formats, yet production backlogs are common. The gap between strategic intent and execution is a scheduling and resource problem, not a creative one.

Customer testimonial video is one of the most requested formats in B2B content programs. It is also one of the most frequently delayed, because production requires coordination across sales, marketing, and the customer relationship.

B2B buyers respond to proof over positioning. Case study video content is consistently cited as a credibility driver at the mid-to-late stages of the purchase cycle, where generic messaging loses its effect.

Reading between the trends

Want to know what these shifts mean for your market? Ask us.

Get the next field report

Fresh signals, AI-visibility movement, and format performance, sent as the data refreshes.

Go deeper with The State of GEO and The State of B2B Video Editing.

Get started

Put these B2B signals to work

See how teams act on this market data and turn it into published content.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512