The content velocity trap: why more content can make you less visible

Generative AI has made it easy for B2B marketing teams to publish more blogs, more social posts and more landing pages than ever. A senior voice in the discoverability field thinks that habit will age badly, and we agree.

What's happening

Ahead of the Marketing Brew Summit, Marketing Brew interviewed Heather Physioc, chief discoverability officer at agency VML, whose discoverability group serves more than 70 enterprise brands.

Physioc's central argument is that marketers organise their work around channels and campaigns, while audiences organise their behaviour around needs and questions. People move freely between search engines, AI assistants, social platforms, reviews, retailer sites and communities, building their own journeys rather than following a funnel.

She predicts the industry will look back on "content velocity" with regret. AI has made it easy to flood the web with what she calls "synthetic sameness". In her view, the winners will produce the clearest, most authoritative and most retrievable information, backed by real expertise, verifiable sources and human accountability.

She also argues integration has become essential, because AI systems build answers by cross-checking signals from websites, reviews, social posts, PR coverage, forums, videos and structured data.

What it means for B2B and technology marketers

This lands squarely on B2B technology marketing, where content programmes are often measured by output.

Volume doesn't equal visibility. Ten similar articles on "the benefits of cloud migration" won't make you more visible in AI answers than one genuinely useful guide. They may dilute your authority and confuse which page should be cited.

Corroboration is the new ranking factor. When an AI assistant recommends a Microsoft partner or SaaS vendor, it's weighing what your site says against what others say about you. Case studies, partner directories, analyst mentions, event coverage, reviews and LinkedIn posts from your experts all count.

Silos show up in answers. If your website, Microsoft partner profile, co-marketing assets and sales decks describe your offer differently, AI tools receive mixed signals. Integration used to be a planning nicety. Now it affects whether you're retrieved at all.

Expertise needs a face. Named authors, real project detail and traceable claims are what separate useful content from synthetic filler, for buyers and machines alike.

How to put it to work

1. Prune and consolidate. Find overlapping articles on the same topic and merge them into one stronger, updated page. Redirect the rest.
2. Start from questions, not channels. Build your plan around the 30 to 50 questions buyers ask through the journey, then decide which format and channel answers each best.
3. Combine your data sources. Use search data, social listening, sales call notes and AI prompt testing together. Each on its own gives a partial picture.
4. Make claims verifiable. Attribute statistics, name customers where permitted, show your working and keep publish dates visible.
5. Align your ecosystem. Make sure partners, distributors and Microsoft channel listings describe you consistently. Our channel partner marketing work often starts here.
6. Put experts forward. Give each major topic a named owner who writes, speaks and posts about it.
7. Measure usefulness. Track citations in AI answers, engaged time and sales usage of content, not just pieces published. See our glossary entry on AEO for the basics.

How UBE Marketing can help

Alvin Paronda founded UBE Marketing as a B2B marketing agency that values useful content over volume, and that thinking runs through our content work. We help B2B technology companies and Microsoft partners replace high-volume content calendars with focused, authoritative programmes built for both buyers and AI search. Learn more about our B2B marketing services or talk to our team.