Digital Experience

AI-powered digital experiences that convert technical buyers

Your engineering buyers are already using AI search. Your PDFs, datasheets, and product pages aren't showing up. We help you rebuild your digital experience for the 2026-2030 era. Fast, intelligent, and AI-ready.

The Problem

The digital experience reset

Most industrial B2Bs compete in 2025 with digital experiences built for 2010 buying behaviour.

Here's what's actually broken: The average industrial manufacturer has 73% of technical content trapped in PDFs—completely invisible to AI search engines and LLMs that now drive 40% of technical buyer research. When your buyers ask ChatGPT or Perplexity for solutions, your competitors with structured, AI-readable content get cited. Your 47-page datasheet? Invisible.

This isn't a future problem. This is today's pipeline leak.

Graph has helped dozens of industrial manufacturers who thought they had a "website problem." What they actually had was:

  • Information locked inside PDFs that AI can't parse
  • SME bottlenecks slowing content velocity to a crawl
  • Buyers forced to "contact sales" for basic technical clarity
  • Platform upgrades that never moved revenue
  • Zero CRO discipline or conversion measurement
  • No AI search readiness or structured content strategy

The urgency: Your competitors are rebuilding their digital experience right now. The industrial B2Bs winning in 2025 transformed before Q4 2024. The gap compounds every quarter.

When Graph rebuilt Victrex's product content from PDFs to structured pages, organic traffic increased 23% and CRM leads jumped 30%—purely from AI search visibility. That's not a redesign. That's a revenue system.

Your digital experience isn't a website—it's a growth system. And that system needs to understand buyer intent, structure information for AI search, personalise journeys, reduce post-click friction, increase demo-ready demand, and scale without adding headcount.

The Solution

What modern digital experience looks like

A high-performing DX system combines six critical capabilities that work together as one integrated revenue engine:

AI search visibility

Your content must be consumable by AI assistants, answer engines, and LLMs. When Perplexity or ChatGPT answers technical queries, they pull from structured content with clear schema markup. Companies that restructure their technical libraries appear in 3x more AI-generated answers.

Intelligent architecture

Composable systems where CMS, CRM, and PIM work as one. Graph typically integrates headless CMS like Contentful or Hygraph, HubSpot CRM, and Akeneo or Pimcore PIM with AI metadata layers. This architectural approach means content updates once and propagates everywhere.

AI-assisted content

Transform SME notes, PDFs, and tribal knowledge into buyer-ready pages at scale. Graph's AI agents can turn a 47-page technical datasheet into 12 structured product pages, 6 comparison guides, and 15 application-specific landing pages—in days, not months.

CRO-first design

Pages that convert engineers, procurement teams, and technical buyers. Technical specifications first, marketing copy second. One polymer manufacturer Graph worked with reduced bounce rate from 89% to 34% by rebuilding pages around specifications instead of marketing messaging.

Journey continuity

Landing pages, product pages, technical documents, and CTAs connecting seamlessly. Buyers shouldn't hunt across five different page types to understand if your product fits their application.

Revenue measurement

Track what actually moves buyers, not vanity metrics. Journey scoring that calculates progression, content performance tied to pipeline, and conversion architecture that identifies exactly where buyers abandon and why.

The Gap

The industrial B2B experience gap

Manufacturers and technical B2Bs suffer from predictable digital experience failures.

Information architecture breaks down at scale. PDFs become the default because they're "easier" than proper structured content. Complex products lack usable digital explanation because SMEs are bottlenecked. Product pages ship without proof, comparison data, or application clarity.

The result: leaky pipeline, bounce-heavy landing pages, low demo readiness, slow sales cycles, and low-quality inbound leads.

Real scenario

One chemical manufacturer Graph audited had 127 product PDFs generating 40,000 monthly downloads. Impressive until you see what happened next—2% of downloaders ever contacted sales. The other 98% disappeared into competitors' funnels.

Why? Because PDF downloads are dead ends. No journey continuity, no progressive CTAs, no intelligence layer tracking intent.

When Graph restructured that content into guided product journeys with application-specific landing pages and comparison tools, contact rate jumped from 2% to 11%. Same products, same buyers, completely different digital experience architecture.

This is the hidden revenue leak sitting at the centre of industrial B2B marketing. Digital experience isn't about aesthetics—it's about conversion architecture that actually works for technical buyers.

Get the Industrial B2B Marketing Playbook for the AI Era

See how leading manufacturers are rebuilding their digital experience for AI search visibility, technical buyer journeys, and predictable pipeline.

Download Playbook
How We Work

How Graph delivers transformation without 18-month projects

Traditional digital experience projects fail because they're too slow, too expensive, and disconnected from revenue. Graph's approach compresses transformation into 90-day cycles that deliver measurable pipeline impact.

Phase 1: Diagnose (0-30 days)

Systematic audits across AI search visibility, CRO friction points, journey mapping, competitive landscape, and content gaps. This produces a diagnostic report with specific mechanisms causing pipeline leaks and prioritised fix recommendations with ROI projections.

Phase 2: Rebuild (30-90 days)

Parallel implementation of lighthouse content, DX architecture, CRO uplift, product clarity, and AI-assisted content pipeline. By day 90, your new digital experience is live and generating pipeline.

Phase 3: Scale (90+ days)

Systematic expansion through micro-journey optimisation, multi-surface deployment, ongoing CRO testing, measurement dashboards, and AI assistant integration.

This is delivered through Graph's Growth Accelerator—the 90-day GTM and DX transformation programme that industrial B2Bs use to rebuild their revenue engine.

Explore the Growth Accelerator

Use Cases

Who this works for

Manufacturers with PDF-heavy content

Restructure technical documentation into AI-readable product journeys that generate pipeline instead of dead-end downloads.

Engineering-led B2B companies

Turn SME knowledge into structured buyer journeys, maintaining accuracy while accelerating content production 10x.

Multi-region industrial enterprises

Build once with composable architecture, adapt by region without rebuilding everything.

Complex product manufacturers

Chemicals, polymers, advanced materials, industrial components. Create progressive disclosure journeys that build understanding systematically.

Next Steps

Ready to transform your digital experience?

Your competitors are rebuilding their digital experience for the AI era right now. Every quarter you delay is another quarter of buyers finding them through AI search while your technical content stays invisible.

Get the Industrial B2B Marketing Playbook for the AI Era

See how leading manufacturers are rebuilding their digital experience for AI search visibility, technical buyer journeys, and predictable pipeline.

Download Playbook

Book a discovery call

Ready to see how Graph rebuilds industrial B2B digital experiences in 90 days—without 18-month platform migrations?

Schedule Discovery Call

Frequently asked questions

What is digital experience in industrial B2B?

Digital experience is the complete system your buyers use to discover, understand, evaluate, and purchase your products. For industrial B2B, effective digital experience means technical content structured for AI search, buyer journeys designed around committee evaluation, and conversion architecture that moves buyers from awareness to demo-ready. It's not a website—it's an integrated revenue system.

How does AI improve digital experience?

AI improves digital experience by making content discoverable in AI search engines like ChatGPT and Perplexity through proper information structure, accelerating content production by turning SME knowledge into buyer-ready pages at scale, and enabling intelligent personalisation by understanding buyer intent and adapting journeys accordingly.

Is this a website redesign?

No. This is a GTM and buyer journey system built on AI-enhanced content and conversion optimisation. Website redesigns focus on aesthetics and brand. Digital experience transformation focuses on pipeline generation, AI search visibility, and systematic conversion improvement. The visual design matters, but it's secondary to the intelligence architecture underneath.

How long does transformation take?

Graph delivers digital experience transformation in 90-day cycles through the Growth Accelerator programme. Traditional projects take 12-18 months because they're structured around technology implementation rather than revenue outcomes. Graph's approach focuses on rapid deployment of high-impact changes that generate measurable pipeline results.

What makes industrial B2B digital experience different?

Industrial B2B has unique requirements: complex products requiring technical education, long sales cycles with multiple committee members, extensive product data trapped in PDFs, SME bottlenecks limiting content velocity, and buyers who need specifications and application guidance before engaging sales. Generic digital experience approaches fail because they don't account for these industrial-specific challenges.

How do you measure digital experience success?

Graph measures by pipeline impact, not vanity metrics. Key measurements include AI search visibility (how often your content appears in ChatGPT and Perplexity responses), conversion rate improvements across landing and product pages, demo-ready lead quality measured by sales qualification rates, pipeline velocity showing how quickly buyers progress through stages, and content performance tied to revenue outcomes.

What technology platforms do you use?

Graph implements composable architecture combining headless CMS (Contentful, Hygraph, or Sanity), integrated CRM (HubSpot or Salesforce), PIM for product data (Akeneo or Pimcore), and custom AI layers for metadata enrichment and content generation. The specific technology stack depends on your existing systems, scale requirements, and integration needs.

Can you work with our existing CMS?

Graph can integrate with existing systems including legacy platforms like Sitecore, but the approach depends on your transformation objectives. If your current CMS supports composable architecture and API-first content delivery, Graph builds on that foundation. If it's a monolithic system limiting your ability to deploy content across channels and integrate AI capabilities, Graph typically recommends migrating to modern composable architecture. The decision is driven by ROI analysis, not technology preference.