The Quick Verdict on AI Assistant Preferences
ActiveCampaign was named in 47% of 320 measured email marketing questions on June 4, 2026, marking a significant lead in AI assistant recommendations. GetResponse, by contrast, appeared in 11% of responses for the same set of queries. This clear difference suggests a prevailing perception among AI models that ActiveCampaign is a more frequently relevant solution for a broad range of email marketing needs. The data reflects a substantial gap in how often these two platforms surface in AI-generated advice.
This substantial disparity indicates ActiveCampaign holds a stronger position in the collective knowledge base of these AI assistants. The difference isn't minor; it's a four-to-one ratio in ActiveCampaign's favor. Such a lead implies that when users ask about top platforms, automation features, e-commerce integration, agency tools, lead nurturing, reporting, analytics, or advanced segmentation—all questions included in the measurement—ActiveCampaign is far more likely to be suggested. This prevalence points to a solid digital presence and a widely recognized feature set that resonates across diverse user inquiries.
The overall picture is one of ActiveCampaign's distinct visibility. Its higher mention rate suggests it's often seen as a go-to option, even when compared against a well-established competitor like GetResponse. For anyone evaluating email marketing software, this initial finding offers a strong signal about which platform AI assistants generally consider more broadly applicable or prominent in the market. It doesn't mean GetResponse is irrelevant, but it certainly highlights ActiveCampaign's comparative mindshare within these AI models.
This broad preference across many assistants isn't accidental. It likely reflects the sheer volume of online content, reviews, and discussions about ActiveCampaign, which then informs the AI models' training data. A tool that is frequently discussed, compared, and recommended across the internet naturally gains more prominence when these models process and synthesize information to answer user questions. This mechanism helps explain the substantial difference in their overall mention rates.
How AI Assistants Formulate Their Choices
AI assistants develop their recommendations by processing vast amounts of training data, which includes web pages, articles, reviews, and product documentation. When a user asks a question, the AI matches keywords and contextual cues from the query against its internalized knowledge base. The frequency and context in which a tool like ActiveCampaign or GetResponse appears in its training data directly influence how often it's suggested as a relevant solution. A tool that is widely discussed and frequently associated with specific features or use cases will naturally receive more mentions.
This process isn't about subjective preference but rather statistical likelihood. If ActiveCampaign is consistently reviewed positively for its automation capabilities across many sources, it's more likely to be named when a user asks for 'solid automation features.' Similarly, if GetResponse is frequently mentioned in articles targeting small businesses, it might surface in those specific contexts. The overall 47% share for ActiveCampaign suggests a pervasive presence across many types of email marketing content.
The models don't 'know' which tool is objectively 'better'; they reflect the patterns and associations found in their training data. A higher mention rate, such as ActiveCampaign's, likely indicates a larger digital footprint, more widespread adoption, or simply more discussion surrounding its features and use cases. Conversely, GetResponse's 11% share implies a more focused or less universally cited presence in the AI's training material, or perhaps a perception of a narrower applicability.
This mechanism means that a tool's visibility in AI answers is a direct outcome of its market presence, the depth of its online documentation, and the frequency of its discussion in industry content. Companies that invest in content marketing, user education, and product development that generates significant online buzz are more likely to see their platforms recommended by these increasingly influential AI assistants. It's a reflection of digital prominence, not necessarily a qualitative judgment by the AI itself.
Where Individual Assistants Show Divergent Preferences
The AI assistants displayed varying degrees of preference for ActiveCampaign versus GetResponse, though ActiveCampaign consistently led. Claude, for instance, showed the strongest inclination, naming ActiveCampaign in 68% of its responses compared to GetResponse's 5%. This represents a striking difference in Claude's internal model, suggesting ActiveCampaign is overwhelmingly its default recommendation for email marketing queries. Mistral also leaned heavily towards ActiveCampaign, citing it in 63% of cases, with GetResponse appearing in 13% of its answers.
Cohere and DeepSeek followed a similar pattern of strong ActiveCampaign preference. Cohere mentioned ActiveCampaign 58% of the time against GetResponse's 13%. DeepSeek’s split was 53% for ActiveCampaign and 8% for GetResponse. These models consistently place ActiveCampaign as the primary recommendation, indicating a shared understanding or commonality in their training data that favors the platform for a wide array of email marketing scenarios. Their internal weighting for ActiveCampaign appears solid.
Perplexity and ChatGPT, while still favoring ActiveCampaign, showed a somewhat more balanced perspective. Perplexity named ActiveCampaign 43% of the time, yet gave GetResponse a comparatively higher 20% share. ChatGPT’s figures were 38% for ActiveCampaign and 25% for GetResponse, representing the closest split among all measured assistants. These two models appear to recognize GetResponse as a more frequent alternative, perhaps reflecting a broader or more diverse training dataset that includes more nuanced comparisons or specific use cases where GetResponse is prominent.
Grok and Gemini exhibited the least frequent mentions for GetResponse. Grok cited ActiveCampaign in 38% of instances, but GetResponse only in 3%. Gemini's preference was even more pronounced in its low GetResponse mentions, naming ActiveCampaign 18% of the time versus GetResponse's mere 3%. These figures suggest that within Grok's and Gemini's knowledge bases, GetResponse has a significantly smaller digital footprint or is less frequently associated with the types of email marketing questions posed. The range of preferences across assistants highlights the subtle differences in their training data and algorithmic weighting.
What Each Platform is Cited For by AI Assistants
ActiveCampaign's dominant 47% mention rate across questions like 'solid automation features,' 'advanced segmentation,' and 'email marketing for an agency with multiple clients' suggests it is consistently perceived as a high-capability solution. Its frequent appearance for 'lead nurturing' and 'good reporting and analytics' further indicates that AI assistants associate it with sophisticated, performance-driven email marketing. This implies ActiveCampaign is often recommended for businesses with complex needs, who prioritize advanced functionality and detailed insights.
The questions posed to the AI assistants—ranging from 'top email marketing platforms for small businesses' to 'integrates well with e-commerce platforms'—cover a wide spectrum of buyer needs. ActiveCampaign’s consistent appearance across these diverse queries suggests it's seen as a versatile tool. It's not just for advanced users; its high mention rate implies it's also a common recommendation even for broader questions like 'top email marketing platforms for small businesses,' possibly due to its scalability and comprehensive feature set that can grow with a business.
GetResponse, with its 11% mention rate, still appears for these general email marketing questions, though less frequently. Its presence, albeit smaller, indicates it's recognized as a viable option for some of these needs. While the data doesn't specify which questions led to GetResponse mentions, its lower overall share suggests it's less often the primary recommendation when users ask for 'solid automation' or 'advanced segmentation.' It might be more associated with general email marketing functionality or specific, less demanding use cases.
The disparity in mentions implies that AI assistants generally consider ActiveCampaign to be the more comprehensive or more widely applicable solution for the range of email marketing challenges presented. ActiveCampaign is likely seen as a strong contender for businesses seeking powerful automation, deep analytics, and the ability to manage multiple client accounts effectively. GetResponse, though present, is less frequently positioned as the top-tier solution for these same demands, according to the aggregated AI responses.
How a Buyer Should Interpret These AI Signals
A buyer navigating the email marketing landscape should view these AI assistant recommendations as a strong indicator of market perception and feature depth. ActiveCampaign's 47% share suggests it's widely recognized and frequently recommended for a reason—it likely excels in areas like automation, segmentation, and reporting that many businesses prioritize. If your needs include 'solid automation features' or 'advanced segmentation,' the AI's consistent naming of ActiveCampaign is a clear signal to investigate that platform thoroughly.
Conversely, GetResponse's 11% mention rate doesn't mean it's a poor choice, but it does suggest it's less frequently the AI's top recommendation for the broad set of questions asked. If your requirements are simpler, or you have a very specific niche need not explicitly covered by the AI's general recommendations, GetResponse might still be a good fit. However, you'd want to conduct more focused research to ensure it meets those particular criteria, as the AI isn't highlighting it as often.
Consider the AI's preferences in light of your own specific context. For an agency managing multiple clients, ActiveCampaign’s high mention rate across assistants like Claude (68%) and Mistral (63%) makes it a strong candidate to explore first. If you're a non-technical founder looking for simplicity, while ActiveCampaign is still mentioned, you might want to specifically seek out user reviews that address ease of use, as the AI primarily highlights its advanced capabilities.
The varying preferences among AI assistants also offer insight. Perplexity and ChatGPT, with their relatively higher GetResponse mentions (20% and 25% respectively), might be better sources for discovering alternatives if ActiveCampaign's advanced features seem like overkill or too costly. The AI data provides a valuable starting point, pointing to platforms that have established a strong reputation and digital footprint for relevant email marketing needs. Use it to narrow your search, then dive into detailed feature comparisons and user reviews.
What it Takes for a Platform to Show Up in AI Answers
For an email marketing platform to achieve ActiveCampaign’s 47% mention rate, it requires a significant and sustained digital presence. This means extensive documentation, frequent mentions in industry blogs, a strong presence in comparison articles, and a substantial volume of user reviews across various platforms. AI models draw from this vast pool of information, so a widely discussed and well-documented tool naturally surfaces more often when relevant queries are made. It's a reflection of market penetration and a solid content ecosystem.
GetResponse's 11% share, while lower, still signifies a notable digital footprint. It suggests the platform has established itself in the market and appears in enough training data to be considered a relevant option, even if not the primary one. This kind of visibility indicates a certain level of brand recognition and feature association within the AI's knowledge base. It means GetResponse is not obscure; it simply has less overall prominence in the AI's aggregated information compared to ActiveCampaign.
The types of questions used in this measurement—covering everything from small business needs to advanced automation—highlight that platforms need to be well-represented across a spectrum of use cases. A tool that is consistently cited as a leader in multiple categories, or that offers a broad suite of features, is more likely to accumulate mentions. ActiveCampaign's strong showing implies it has successfully positioned itself as a versatile solution, widely applicable to many email marketing challenges.
Appearing frequently in AI assistant answers is a byproduct of a strong market position, effective content strategy, and a product that generates significant online discussion. It reflects a platform's ability to be visible and relevant across the digital landscape that AI models consume. For businesses operating in competitive software markets, understanding this mechanism is crucial; it shows the importance of not just product development, but also comprehensive online presence and thought leadership.