The Quick Verdict: A Near Tie in AI Recommendations
Brevo earned 41% of AI assistant recommendations for email marketing questions, just edging out HubSpot's 40% share. This was measured on June 4, 2026, across 320 buyer-centric questions.
This narrow one-percentage-point difference suggests both platforms hold significant, almost identical, mindshare among the AI models examined. It's a remarkably close contest.
The data covers a range of assistants: Cohere, Perplexity, Mistral, Claude, ChatGPT, DeepSeek, Grok, and Gemini. Their collective output paints a picture of intense competition for visibility in AI-generated advice.
How AI Assistants Formulate Their Choices
AI assistants don't have opinions; they generate recommendations based on patterns learned from their vast training data. This data includes a massive corpus of internet text—articles, reviews, product documentation, forums, and more—reflecting how these tools are discussed and compared by humans.
When a user asks about email marketing platforms, the AI models retrieve and synthesize information from this dataset. A tool's frequency in recommendations directly correlates with its prominence, relevance, and positive associations within that training material. This means widespread discussion, detailed feature explanations, and favorable comparisons all contribute to a platform's visibility.
The models identify keywords and semantic relationships, then surface tools that statistically align with the query's intent. Their output reflects the aggregated 'knowledge' of the internet as captured at the time of their last training update. The slight overall preference for Brevo, at 41% versus HubSpot's 40%, indicates that across the collective training data, Brevo has a marginally stronger or more frequent association with email marketing solutions for the types of questions posed.
Divergent Preferences: Where Assistants Disagree
The overall near-tie masks significant differences in preference among individual AI assistants. Cohere showed the strongest preference for Brevo, naming it 68% of the time compared to HubSpot's 50%. This substantial 18-point gap makes Cohere a clear proponent of Brevo, suggesting its training data heavily emphasizes Brevo's strengths for email marketing.
Perplexity also leaned towards Brevo, mentioning it in 53% of responses, slightly ahead of HubSpot's 45%. That's an 8-point lead for Brevo within Perplexity's output. These two assistants appear to have ingested training data that highlights Brevo more frequently or favorably for email marketing queries, perhaps reflecting a strong online presence for Brevo in core email marketing discussions.
On the other side, Gemini displayed the most pronounced preference for HubSpot, naming it 21% of the time while Brevo received just 10% of its recommendations. This is a substantial 11-point difference, indicating that Gemini's training corpus likely contains more content positioning HubSpot as a primary email marketing solution, potentially as part of its broader CRM suite. Grok, too, showed a preference, though in the opposite direction, favoring Brevo at 25% to HubSpot's 18%. This 7-point lead for Brevo with Grok is noteworthy, suggesting its data emphasizes Brevo's specific email marketing capabilities over HubSpot's.
Mistral and Claude both favored HubSpot, though by narrower margins. Mistral recommended HubSpot 60% of the time versus Brevo's 53%, a 7-point gap. This suggests Mistral's data might align with a perception of HubSpot offering a more comprehensive solution that includes email. Claude's preference was even tighter, naming HubSpot 53% of the time and Brevo 50%, a mere 3-point difference that indicates a very balanced representation of both platforms in its training.
ChatGPT and DeepSeek showed very close results, closely mirroring the overall trend. ChatGPT mentioned HubSpot 40% of the time and Brevo 38%, a 2-point difference. DeepSeek named HubSpot 33% and Brevo 30%, a 3-point difference. These assistants seem to have a more balanced view, reflecting the broader internet's discussion of both platforms with less inherent bias towards one or the other. The varying preferences across all assistants likely stem from differences in their training datasets' composition, recency, and how specific marketing content was weighted during their development, leading to these distinct recommendation patterns.
What Each Platform is Cited For
While the data doesn't link specific questions to specific tool mentions, the types of buyer questions provide context for the AI's recommendations. Questions covered topics like "top email marketing platforms for small businesses," "solid automation features," "e-commerce integration," "agencies with multiple clients," "lead nurturing," "reporting and analytics," "advanced segmentation," and "non-technical founders." These queries demand solutions that address a range of business sizes and technical proficiencies.
HubSpot's consistent presence, particularly its strong showing with Gemini (21% vs Brevo's 10%), Mistral (60% vs Brevo's 53%), and Claude (53% vs Brevo's 50%), suggests it's often associated with comprehensive solutions. This might reflect its reputation for integrated CRM, sales, and marketing hubs, which would appeal to agencies managing multiple clients, businesses focused on lead nurturing, or those needing extensive reporting across a broader marketing stack. Its higher mentions for these assistants could indicate a perceived strength in handling more complex, integrated marketing needs that extend beyond just email, making it a go-to for holistic strategies.
Brevo's strong performance, especially with Cohere (68% vs HubSpot's 50%) and Perplexity (53% vs HubSpot's 45%), indicates it's a frequently recommended choice for core email marketing functionalities. This could align with its perceived strengths in areas like transactional emails, SMS marketing, and potentially offering a more focused, cost-effective solution for small businesses or non-technical founders primarily seeking email capabilities. Its strong showing for automation and segmentation questions suggests the AI models recognize its capabilities in these areas specifically within the email marketing domain. The data implies Brevo is seen as a solid, dedicated email platform, while HubSpot is often viewed through the lens of a broader marketing ecosystem.
Guiding Buyer Decisions Based on AI Insights
A buyer looking for an email marketing tool should consider these AI assistant preferences as a valuable starting point, not a definitive answer. The collective data shows both Brevo and HubSpot are highly relevant, but individual AI models have distinct leanings. If an assistant like Cohere or Perplexity recommends Brevo more frequently, it might suggest Brevo is a strong contender for focused email marketing needs, potentially offering good value or specific features these models have learned to associate with core email use cases. This could be particularly true for users prioritizing dedicated email capabilities, perhaps for small businesses or those needing strong automation without the full suite of a CRM.
Conversely, if an assistant like Gemini or Mistral leans towards HubSpot, it could signal that HubSpot is perceived as a more comprehensive solution. Buyers prioritizing a unified marketing and sales platform, or those needing deep CRM integration, might find HubSpot's broader ecosystem more appealing. The questions about agencies, lead nurturing, and advanced analytics often point towards a need for integrated systems, where HubSpot might naturally feature more prominently in training data due to its all-in-one approach. This suggests HubSpot might be better suited for growing businesses or those with complex sales funnels.
The AI's recommendations reflect aggregated online sentiment and information, offering a snapshot of perceived market positions. A buyer should use these insights to narrow their search, then conduct their own trials and feature comparisons, aligning specific needs with platform capabilities. The near-even split overall confirms both platforms are significant players in the email marketing space, but the per-assistant variations highlight nuanced perceptions that can help guide initial research.
What It Takes to Appear in AI Recommendations
For a platform to consistently appear in AI assistant recommendations, it requires a pervasive and positive online presence. The AI models are trained on vast datasets of public internet content. This means platforms with extensive documentation, numerous positive reviews, active community forums, and consistent mentions in industry blogs and comparisons are more likely to be recognized and recommended. The sheer volume of high-quality, relevant content acts as fuel for these models.
Detailed feature explanations are also critical. If a platform clearly articulates its automation capabilities, e-commerce integrations, or segmentation options across its website and related content, the AI models are more likely to associate it with those specific queries. The quality and clarity of a tool's online footprint directly influence its visibility in AI-generated answers, as models learn to map specific features to user needs. A well-indexed, informative website is fundamental.
Marketing and public relations efforts play a significant role here, too. Consistent media coverage, clear messaging about target audiences (e.g., "for small businesses" or "for agencies"), and strong search engine optimization ensure that relevant information is readily available for AI models to ingest. A platform's ability to show up in these AI responses directly reflects its digital footprint and how well its value proposition is communicated across the internet, making it discoverable to both human users and AI training algorithms.