B2B marketing teams have more measurement data than ever, yet proving that communications activity contributes to revenue remains difficult. New research from 10Fold and Sapio Research finds that marketing and communications leaders are expanding measurement across digital, social, content, PR and AI visibility, but many lack the integrated systems needed to connect those signals to pipeline and revenue.

B2B marketing measurement is entering an awkward phase: the industry has become better at collecting data, but not necessarily better at explaining what that data means for the business.

That is the central finding of a new study from 10Fold, conducted by Sapio Research, which surveyed 400 B2B technology marketing and communications leaders. The research, titled The Communications ROI Reset: What B2B Leaders Measure, Trust and Act On, examines how companies are evaluating communications performance as AI search, digital channels and traditional media increasingly converge.

More than half of respondents now track a broader set of business-impact signals, including website traffic, AI visibility, AI referral traffic and downstream actions. Yet only 38% measure pipeline or revenue influence correlated with those metrics, while just 35% report having fully integrated reporting across earned, paid social, content and digital channels.

The problem, therefore, is not a shortage of dashboards. It is the absence of connections between them.

For B2B marketing leaders, that distinction matters. A PR placement may increase brand awareness, a social campaign may generate engagement and an AI search result may introduce a prospect to a company. But without a way to connect those activities to buyer behavior and commercial outcomes, proving their contribution to growth becomes difficult.

AI Visibility Is Becoming an Executive Metric

One of the most notable changes in the research is the emergence of AI visibility as part of mainstream communications measurement.

More than half of respondents measure AI search visibility or brand citations within AI-generated content. The same proportion tracks referral traffic from AI services such as ChatGPT, Perplexity and Google Gemini.

The shift changes the definition of search visibility.

For years, B2B marketers largely optimized for rankings, clicks and organic traffic. Generative AI introduces another layer: whether a company's brand, products or executives are mentioned, summarized or cited when potential buyers ask AI systems questions.

That means Generative Engine Optimization (GEO) and AI search visibility are moving closer to corporate communications and brand strategy.

The research says 58% of respondents include an AI search or LLM visibility platform in integrated reporting. That is a significant signal that AI discovery is moving from an experimental SEO initiative toward an executive-level marketing concern.

The challenge is attribution. A brand citation in an AI-generated response may influence a buyer long before a measurable website visit occurs. Marketing teams therefore need measurement frameworks capable of capturing influence across increasingly nonlinear customer journeys.

Executives Trust Business Outcomes More Than Activity

The research also highlights a persistent gap between what marketing teams measure and what senior executives trust.

According to the study, 87% of marketing leaders agree that their CEO or board primarily trusts metrics aligned with business outcomes.

Revenue impact ranks as the most trusted metric, cited by 34% of respondents. Website traffic follows at 27%, while social engagement ranks at 25%. Leads generated, SEO and organic visibility, and AI visibility each receive 24%.

Pipeline influence, however, ranks at just 16%, while share of voice is lowest at 11%.

The findings do not suggest that traditional communications metrics have become irrelevant. Rather, their value increases when they can be connected to measurable buyer behavior.

A media placement becomes more meaningful when it contributes to branded search, website engagement, qualified leads or pipeline. Likewise, AI visibility becomes more commercially relevant when marketers can demonstrate that increased discoverability influences consideration or downstream action.

Measurement Is Influencing Budgets Despite Data-Quality Concerns

Measurement is already affecting marketing investment decisions.

More than 80% of respondents say measurement is changing strategy and budget decisions across paid social, paid media, digital, owned content, earned media, earned content and organic social.

Yet only 49% say they are very confident in the accuracy and completeness of their communications data.

That creates a potentially uncomfortable situation for CMOs.

Organizations may be reallocating budgets based on measurement systems that their own marketing leaders do not fully trust. The problem can become especially complicated when data is distributed across PR platforms, social networks, advertising systems, web analytics, CRM platforms, marketing automation tools and emerging AI visibility products.

A modern enterprise MarTech stack can contain dozens of systems, but integration does not automatically create reliable attribution.

The next phase of marketing analytics will therefore be less about adding another metric and more about creating a consistent measurement architecture across the customer journey.

Different B2B Industries Need Different Proof

The study's vertical analysis also suggests that communications ROI cannot be reduced to one universal scorecard.

Enterprise software companies may need stronger connections between communications, revenue, buyer behavior and analyst influence. AI and data companies, meanwhile, face a growing need to demonstrate how discoverability translates into authority and market preference.

Cybersecurity companies may need defensible search and AI visibility metrics, while fintech and health-tech organizations may need to demonstrate visibility and trust to increasingly demanding executive stakeholders.

Company size matters as well.

Smaller organizations may benefit from concentrating on a limited number of reliable growth indicators rather than building complicated reporting systems. Mid-market businesses increasingly need to integrate digital and AI signals into an executive narrative. At the largest enterprises, the challenge may be simplifying massive quantities of marketing data into a scorecard that senior leadership can actually use.

A Connected Communications Scorecard

10Fold recommends organizing measurement around five layers: visibility, engagement, authority, action and business impact.

Visibility can include earned media, social audience growth, AI search visibility and share of voice. Engagement encompasses content interaction, downloads, social amplification and website behavior.

Authority adds analyst and influencer inclusion, message pull-through and AI-generated citations. Action moves closer to conversion through clicks, forms, demos, registrations and subscriptions.

At the final layer are leads, pipeline influence, revenue impact and multi-touch attribution.

The structure is useful because it recognizes that communications rarely create revenue in a single step.

A prospect might first encounter a company through earned media, later see an executive post on LinkedIn, encounter the company in an AI-generated answer, visit its website and eventually request a demo. Treating only the final interaction as responsible for the conversion can obscure the cumulative effect of marketing and communications.

Market Landscape

The B2B marketing measurement market is shifting from channel-specific reporting toward connected measurement and revenue attribution.

Traditional platforms such as Google Analytics, CRM systems and marketing automation platforms remain central, but marketers increasingly need to incorporate AI-search visibility, generative AI referrals, social signals and earned media into the same business narrative.

This is creating opportunities for customer data platforms, marketing analytics platforms and AI visibility tools that can connect previously isolated signals.

The bigger challenge is organizational. Marketing, communications, sales and finance often use different definitions of success. Without shared data models and attribution rules, even sophisticated technology can produce conflicting answers.

The 10Fold findings indicate that the next competitive advantage may therefore come from measurement governance rather than simply measurement volume.

Strategic Outlook

The rise of AI search makes the traditional marketing funnel harder to measure but potentially more important to understand.

A company can influence a buyer before that buyer ever visits its website. An AI-generated recommendation, analyst reference, social conversation or editorial article can shape consideration without producing an immediate attributable click.

That means B2B organizations will increasingly need to measure visibility, influence and business outcomes together.

For marketing leaders, the strategic goal should not be to eliminate every attribution challenge. It should be to establish a credible measurement framework that distinguishes correlation from causation, makes assumptions explicit and gives executives enough evidence to make investment decisions.

As AI becomes embedded across search, content and customer engagement, the organizations that can connect these new signals to established revenue systems will have a stronger case for marketing's contribution to growth.

Top Insights

• B2B marketers are expanding measurement into AI visibility and referral traffic, but only 38% connect these signals to pipeline or revenue influence.
• AI-generated citations are becoming executive-level visibility metrics as brands compete for recommendations and references across ChatGPT, Gemini and other AI systems.
• More than 80% of respondents say measurement influences marketing budgets, despite only 49% expressing high confidence in communications data accuracy and completeness.
• Integrated reporting remains a major weakness, with just 35% reporting unified measurement across earned, paid social, content and digital channels.
• The emerging communications scorecard connects visibility, engagement, authority, action and business impact rather than treating media activity as an isolated outcome.

Get in touch with our MarTech Experts