Brevo Dominates AI Assistant Recommendations, Campaign Monitor Trails
Brevo captured a substantial 41% of AI assistant recommendations when measured against Campaign Monitor across 320 email marketing questions on June 4, 2026. This stark contrast positions Brevo as the more frequently suggested platform by a wide margin. Campaign Monitor, by comparison, appeared in just 13% of answers for the same set of queries. This overall trend points to a clear preference among the surveyed AI models for Brevo in general email marketing discussions.
The underlying mechanism for these recommendations involves the AI models' training data. These systems learn from vast datasets of text and code, including product reviews, documentation, marketing materials, and forum discussions. The frequency and context in which a tool like Brevo or Campaign Monitor appears in this training data directly influence how often and for what purposes the AI assistants will suggest it. A higher prevalence of relevant, positive, or frequently searched information about a platform in the training corpus generally leads to more frequent AI recommendations. Therefore, Brevo's higher share likely reflects a greater representation or more frequent association with common email marketing queries within the AI's knowledge base.
Assistant Consensus: Brevo is the Preferred Choice
AI assistants consistently showed a preference for Brevo, though the degree of that preference varied significantly among them. Cohere, for instance, recommended Brevo in 68% of its responses, compared to Campaign Monitor's 33%. This represents one of the strongest leans toward Brevo. Perplexity also favored Brevo, naming it in 53% of answers, while Campaign Monitor appeared in 18% of its recommendations. Mistral demonstrated an even more pronounced bias, citing Brevo in 53% of its responses but Campaign Monitor in only 8%.
Claude also showed a clear preference, with Brevo mentioned in 50% of its answers against Campaign Monitor's 13%. ChatGPT, while still favoring Brevo, exhibited a slightly less extreme divergence, recommending Brevo 38% of the time and Campaign Monitor 18%. DeepSeek followed a similar pattern, listing Brevo in 30% of its answers and Campaign Monitor in 8%. Grok presented one of the most lopsided preferences, naming Brevo in 25% of its responses but Campaign Monitor in a mere 3%. Even Gemini, which had the lowest overall recommendation rates for both platforms, still favored Brevo at 10% compared to Campaign Monitor's 5%. Across the board, every AI assistant included in this analysis suggested Brevo more often than Campaign Monitor.
Divergent AI Assistant Views on Platform Suitability
While every AI assistant recommended Brevo more often than Campaign Monitor, the precise percentages reveal distinct differences in how each model weighs the platforms. Cohere showed a substantial 35-point lead for Brevo (68% vs 33%), indicating it frequently finds Brevo more relevant for a broad range of email marketing inquiries. Perplexity's 35-point difference (53% vs 18%) mirrors this strong inclination. Mistral, however, presented an even wider gap, with a 45-point difference (53% vs 8%), suggesting that for Mistral, Campaign Monitor is a much less frequent consideration than Brevo.
Claude's 37-point disparity (50% vs 13%) also shows a firm preference for Brevo. ChatGPT's recommendation pattern, with a 20-point difference (38% vs 18%), indicates it still leans towards Brevo but considers Campaign Monitor more often than some other models do. DeepSeek's 22-point gap (30% vs 8%) and Grok's striking 22-point difference (25% vs 3%) both highlight a strong bias towards Brevo. Grok, in particular, rarely brought up Campaign Monitor at all. Even Gemini, with its narrower 5-point difference (10% vs 5%), consistently placed Brevo ahead. These varying degrees of preference likely reflect subtle differences in each AI's training data emphasis, weighting algorithms, or the specific contexts it associates with each platform.
What Each Platform is Cited For by AI Assistants
Brevo's significantly higher recommendation rate, at 41% overall, suggests it's frequently associated with a broad spectrum of common email marketing needs. The buyer questions posed to the AI assistants included queries like "top email marketing platforms for small businesses," "solid automation features," "integrate well with e-commerce platforms," and "best email marketing solution for a non-technical founder." It is plausible that Brevo's feature set, pricing structure, or market positioning aligns more closely with these widely sought-after attributes, making it a more frequent recommendation. Its mentions likely reflect its perceived suitability for general business use, particularly for those seeking comprehensive tools without deep technical expertise.
Campaign Monitor's 13% overall recommendation share indicates it appears less often for these general queries. While the specific reasons for its mentions aren't detailed in the data, its lower frequency suggests it might be positioned for more niche requirements, or perhaps its market presence within the AI's training data is less pervasive for broad-based questions. The AI's responses don't delineate specific features for which Campaign Monitor is preferred, but its presence, even if less frequent, suggests it remains a relevant option for some specific use cases. It's possible that when it is recommended, it's for particular strengths that align with less common aspects of the posed questions, such as advanced segmentation or specific reporting needs, though this is an inference.
Guiding Buyer Choices Based on AI Assistant Preferences
A buyer seeking an email marketing platform, particularly one with needs aligning with the sample questions, might find Brevo to be a more frequently suggested option by AI assistants. Brevo's 41% overall recommendation share, alongside its consistent preference across all AI models, suggests it's a strong general-purpose contender. If a buyer is a small business, a non-technical founder, or looking for solid automation and e-commerce integration, the AI's collective lean indicates Brevo often surfaces as a relevant choice. Its prominence in AI answers suggests it addresses a wide array of common pain points effectively.
However, Campaign Monitor, despite its lower 13% recommendation rate, still appears. This means buyers shouldn't dismiss it entirely. If a buyer's requirements are highly specific or they value features where Campaign Monitor might traditionally excel, they should conduct further research beyond the initial AI suggestions. The AI's preferences reflect broad trends in its training data; they don't necessarily capture every nuanced need. For example, if a buyer's priority is a highly specific design capability or a particular type of client management for an agency, they might find Campaign Monitor to be a better fit, even if AI assistants mention it less often for general queries. The AI's recommendations serve as a starting point, not the definitive answer for every unique business case.
Factors Influencing AI Assistant Recommendations
Showing up prominently in AI assistant answers, as Brevo does with its 41% share, is largely a function of a platform's digital footprint within the vast training data of these models. This footprint includes the volume of publicly available documentation, product reviews, news articles, blog posts, and forum discussions. A tool with extensive online presence, frequently discussed features, and widespread market adoption is more likely to be represented in the AI's knowledge base. Brevo's consistent recommendation across multiple AI models suggests it has cultivated a significant and relevant digital presence.
For a platform like Campaign Monitor, with its 13% share, the lower frequency of AI recommendations points to a comparatively smaller or less broadly accessible digital footprint relative to the common queries. This doesn't necessarily reflect on the product's quality, but rather its visibility within the AI's training corpus. Vendors aiming for higher AI visibility often focus on comprehensive online content strategies, ensuring their product information is widely distributed, easily discoverable, and frequently updated. The more an AI encounters a product in relevant contexts across its training data, the more likely it is to recommend that product for suitable inquiries.