Skip to content

New Angelfish Marketing Study of 1,052,053 AI Citations Reveals What AI Reads to Recommend B2B Software

What AI Reads to Recommend B2B Software: Insights from Angelfish Marketing’s Study of Over One Million AI Citations

Artificial intelligence is becoming a major influencer in how businesses discover and evaluate B2B software. A recent study conducted by Angelfish Marketing analyzed more than a million AI-generated citations to uncover the key sources AI platforms consult when recommending B2B software solutions. The findings reveal critical insights that B2B companies can leverage to enhance their visibility in AI-powered recommendations.

Understanding AI’s Information Sources

The study showed that AI predominantly relies on third-party content rather than brands’ own websites when suggesting B2B software. Platforms like YouTube and Reddit emerged as particularly influential sources where many AI citations are drawn from. In fact, only about 13-32% of cited sources came from a brand’s own web content.

This means that while having a strong brand website and content is important, it is not sufficient on its own for appearing in AI recommendation systems. Instead, B2B companies should consider a broader content strategy that includes reputable third-party platforms to widen their digital footprint.

Why Third-Party Platforms Matter

Third-party platforms offer community engagement, user reviews, tutorials, and discussions that AI apparently values when determining software recommendations. YouTube provides video explanations and demonstrations, while Reddit supports candid user conversations and feedback. This richer, user-generated content ecosystem helps AI models evaluate software more holistically beyond official marketing messages.

Strategic Implications for B2B Marketers

To tap into AI recommendation engines effectively, B2B marketers should:

  • Build visibility and credibility on key third-party platforms such as YouTube and Reddit.
  • Encourage user-generated content and authentic reviews.
  • Supplement website content with engagement on trusted external sites.

Key Insights

  • What percentage of AI citations come from brands’ own websites? About 13-32%, indicating significant reliance on external content.
  • Which third-party platforms are most influential? YouTube and Reddit lead as trusted sources referenced by AI.
  • How can B2B companies improve AI visibility? By expanding content presence beyond their own sites to include community-driven platforms.
  • Why does AI prefer third-party content? Because it offers diverse, authentic perspectives that help AI assess software more thoroughly.

Conclusion

The Angelfish Marketing study highlights a major shift in how AI curates information for B2B software recommendations. For companies aiming to harness AI’s growing role in purchasing decisions, a multi-channel content strategy that integrates official brand messaging with trusted third-party content is essential. This approach not only boosts AI visibility but also builds deeper, more authentic engagement with potential buyers. Moving forward, B2B marketers should prioritize presence and credibility across a range of platforms to stay competitive in AI-driven marketplaces.


Source: https://martechseries.com/content/new-angelfish-marketing-study-of-1052053-ai-citations-reveals-what-ai-reads-to-recommend-b2b-software/