"If every agency worked like B2B Better, I wouldn't have a problem. They just make it easy." – Corrina Oakham, Head of Digital Marketing, Cambridge Spark
"It was a no-brainer for me to rely on B2B Better's expertise and strategic acumen." – Marco Lorenzi, Head of Marketing, Simplestream
"We were able to recruit really interesting guests with very minimal effort on my part." – Ross Katz, Principal Data Science Lead, CorrDyn
"The feedback from the market and the industry has been phenomenal." – Ross Howard, Head of Marketing, Inbox Insight
"Jason is a real powerhouse — excellent at helping us manage logistics, the guests, and really driving results." – Faye Girvan, Marketing Director, Hypercube Consulting

B2B Content & Podcast Production for Data & AI Companies

The data and AI space is moving at a pace that makes most content irrelevant before it's published. B2B Better builds content programmes that keep data and AI companies in front of their buyers — not by chasing trends, but by establishing the kind of durable authority that survives the hype cycles.

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The content challenges b2b content & podcast production for data & ai companies companies face

How it works for b2b content & podcast production for data & ai companies

  1. 01

    Anchor around a durable editorial position

    We work with your leadership team to identify the one perspective that will still be relevant in three years — and build a content programme around it.

  2. 02

    Produce a practitioner-led podcast that data leaders choose to listen to

    The most effective data and AI podcasts feature real practitioners from the data community — engineers, heads of data, analytics leaders. We build shows they actively seek out.

  3. 03

    Build content for every layer of the buying committee

    Technical deep-dives for data teams. Business case content for finance and operations. Strategic perspective for the C-suite. We produce content that works at every level.

  4. 04

    Measure content impact on pipeline

    Target account engagement, content-influenced deals, and intent signals from the companies you're actively pursuing.

What this looks like in practice

Our podcast became the most credible thing we'd ever put our name on. It shifted how the data community thought about us — from vendor to voice.

A data infrastructure company

Enterprise pipeline grew significantly in the 12 months following the podcast launch.

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Frequently asked questions

How do you keep data and AI content relevant when the space moves so fast?
By focusing on the durable problems — data quality, governance, team structure, decision-making — rather than the rapidly-changing tools and models. These are the questions that practitioners wrestle with regardless of what the market is hyping.
What type of podcast works best for a data or AI company?
Practitioner-led shows featuring heads of data, analytics leaders, and data engineers discussing real implementation challenges. Not product demos or vendor panels — genuine conversations about the craft of working with data.
How do you reach both technical and business buyers?
We build content at two levels: practitioner content that earns credibility with technical buyers, and business-outcome content that speaks to the ROI concerns of economic buyers. Both draw from the same core content programme.
We operate in a very specific niche within data/AI. Can content still work?
Absolutely — niche specificity is an advantage, not a limitation. The narrower your focus, the more authoritative you can be within it.
How long before we see pipeline impact?
Typically 6–9 months. Data and AI buyers research extensively — the content library you're building in month three is what converts prospects in month nine.

Ready to build content that earns the trust of data professionals?

Book a free assessment and we'll design a programme that reaches the data buyers your competitors are struggling to engage.

Book a free assessment