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B2B messaging, go-to-market, and AI marketing: articles & insights.

Fast Growth Advisors writes this blog on B2B messaging, startup go-to-market and AI marketing. Frameworks, case studies and practical analysis, with no filler content. Many articles draw on our data: the Message-Market Fit Observatory, where we measured 369 French post-funding startups, and our detailed messaging audits.

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What does Fast Growth Advisors publish on B2B messaging and AI marketing?

Every article published by Fast Growth Advisors, from the newest to the oldest, can be filtered by category: B2B messaging, go-to-market, AI in marketing, or insights. Pick a theme below.

IA & Marketing

GEO: how to build citable expertise for ChatGPT and Claude

SEO isn't enough. GEO (Generative Engine Optimization) makes your B2B content citable by ChatGPT, Claude and Perplexity.
· 7 min read
Go-to-Market

International messaging: why translation is never enough in B2B

Translating a website isn't localising a messaging. European startups that settle for translated pitches lose credibility on every new market they enter.
· 6 min read
Messaging B2B

ABM without messaging is just spray and pray with a smaller list

ABM promises personalised outreach to high-value accounts. Without structured messaging, it's just mass marketing with a shorter list.
· 5 min read

Who writes the Fast Growth Advisors blog, and with what data?

Hervé Dhélin, founder of Fast Growth Advisors, signs the articles on this blog.

Behind him, the Message-Market Fit firm brings together three partners and more than thirty years of B2B marketing. Articles draw on what we see in engagements, on what our audits measure, and on what AI engines actually do with a B2B website.

Figures specific to the firm mostly come from the Message-Market Fit Observatory: edition No. 1 (Q2 2026), 369 French post-funding startups measured, average score 5.33 out of 10, none above 8. Across the 83 detailed audits, 75.9% remain below the critical threshold of 37.5 out of 75. External data links to its primary source, cited in the article itself.

In short: measure first, write second.

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