Overview
Brevo is an all-in-one marketing platform that combines email marketing, SMS, CRM, and transactional email under a single pay-per-email pricing model. It competes against Klaviyo, Mailchimp, ActiveCampaign, ConvertKit, MailerLite, and Omnisend, each of which has years of community recommendations and AI citations built up behind it.
Brevo engaged Infrasity with one objective: own the evaluation layer for email marketing buying prompts across Reddit, Google, and AI models. Infrasity mapped the high-intent prompts buyers were running on Google, ChatGPT, Perplexity, and Google AI Overview, identified the Reddit threads already ranking and being cited inside AI responses, and engaged them systematically.
This case study breaks down the prompts tracked, the tracks executed, and the visibility shift that followed, from a fragmented baseline to 80% LLM citation coverage across six high-intent buying prompts.
Where Brevo Stood in Community & LLM Rankings Before Engaging Infrasity
The email marketing category has more incumbent recommendations than almost any other SaaS vertical. Mailchimp dominates the small business conversation. Klaviyo owns ecommerce. ActiveCampaign carries the CRM-led automation crowd. When buyers asked for recommendations on r/marketing, r/SaaS, r/MarketingAutomation, or r/Emailmarketing, Brevo was rarely surfacing as a primary recommendation.
The threads ranking on Google for high-intent queries like "Klaviyo alternatives," "Best Mailchimp alternative," and "Best email marketing platforms" were heavily weighted toward the same three or four incumbents.
AI models pulling from those same threads reflected the same gap, recommending Omnisend, MailerLite, or HubSpot before Brevo, even in queries where Brevo's pay-per-email pricing model and bundled SMS + CRM stack made it the better fit.
How Infrasity Built Reddit, SERP, and LLM Visibility for Brevo Across Three Parallel Tracks
The work ran across three tracks from day one, executed in parallel rather than sequentially. Each track was designed to compound on the next. Community engagement strengthened the threads ranking on Google. Better SERP rankings increased the source pool AI models were citing. More AI citations reinforced Brevo's credibility back in the communities. The three tracks were not independent workstreams. They were one feedback loop.
Phase 1: Targeting SERP-Ranking Reddit Threads for Email Marketing Alternative Queries
Every high-intent thread ranking on Google for the six tracked prompts was mapped:
- Klaviyo alternatives
- Best email marketing platforms
- Best email API
- Best Mailchimp alternative
- Best email marketing tool for ecommerce
- Best transactional email service
These threads reflected threads and engagements that were already being cited in AI responses whenever someone asked an email marketing question.
Brevo was positioned around specific, verifiable claims, the pay-per-email pricing that scales differently from contact-based competitors, the unified email + SMS + CRM stack, and the transactional email infrastructure that competes directly with SendGrid and Postmark for high-volume sends.
6 prompts tracked. 66 postable threads identified. Selection criteria: already ranking on Google, already cited by AI models.
Phase 2: Building Brevo Presence Across Marketing and SaaS Subreddits
r/MarketingAutomation, r/DigitalMarketing, r/SaaSMarketing, r/aiagents, and r/Brevo are where email marketing decisions are being actively discussed. These communities have low tolerance for promotional framing, so positioning had to be tied to specific use cases, pricing comparisons, and scaling problems.
Brevo was positioned around its ability to scale sends without contact-based pricing penalties, its bundled SMS and CRM functionality that removes the need for separate tools, and its transactional capabilities that compete head-on with developer-focused alternatives.
37 mentions across 347 days. 9.24 average engagement per mention. Presence across 25 subreddits.
Phase 3: Identifying and Engaging LLM-Cited Threads for Email Marketing Buying Prompts
The six target prompts were run continuously across ChatGPT, Perplexity, and Google AI Overview. The Reddit threads being cited as sources in those responses were identified, prioritized, and engaged directly. The loop ran continuously: run prompt, identify cited threads, engage with grounded Brevo positioning, re-run to verify Brevo had been pulled into the response.
The output: 66 cited threads identified across the 6 prompts, deduplicated and prioritized by overlap. Threads cited by all 3 AI models for the same prompt were treated as Tier 1 targets. Threads cited by 2 models were Tier 2. The Tier 1 pool drove the bulk of the citation movement.
Each high-priority thread was engaged with Brevo positioning tied to the specific prompt being targeted, pay-per-email pricing for budget-led queries, unified CRM and SMS stack for ecommerce, transactional infrastructure for API-led developer prompts. After every engagement cycle, prompts were re-run across all 3 AI models to verify Brevo had been pulled into the response.
How Brevo's AI Citations, SERP Presence, and Brand Mentions Moved After Engagement
Google AI Overview
For "Klaviyo alternatives," Google AI Overview now names Brevo at position 2, cited specifically for strict budget optimization, the all-in-one suite with SMS and CRM, and the pay-per-email volume pricing model.
For "Best Mailchimp alternative," Brevo is ranked at position 2, cited for high-volume senders, unlimited contact storage on all plans, and pay-per-email pricing.
For "Best email marketing platforms," Brevo is listed at position 4, positioned as the best option for scalability and budget.
ChatGPT
For "Klaviyo alternatives," ChatGPT ranks Brevo at position 3 in its recommended alternatives table, sitting alongside Omnisend and ActiveCampaign at the top of the response.
The recommendation is specifically tied to budget-conscious teams, with the pay-per-email pricing model called out as the primary differentiator, charging based on the volume of emails sent rather than the size of the contact list, which directly addresses one of the most common Klaviyo migration triggers.
Beyond pricing, the response highlights Brevo's inclusion of CRM, SMS, and transactional email within the core platform, positioning it as a full-stack alternative rather than a single-channel tool. This framing is particularly important for teams evaluating Klaviyo replacements, since the typical churn from Klaviyo happens at scale when teams want to consolidate their email, SMS, and customer data layers into one platform rather than running three separate tools.
The citation traces back to engaged Reddit threads in r/MarketingAutomation and r/SaaSMarketing, where users had asked similar migration questions and Brevo had been positioned around the same pricing and bundling angles.
LLM Citation Coverage
Across the 6 tracked prompts, 53 of 66 postable threads now mention Brevo directly, an 80% brand mention rate. Cited URLs climbed from a near-zero baseline through May and stabilized at the 80% mark. Average threads surfaced per day: 21.1, meaning the brand footprint is being reinforced across multiple new threads daily.
Google SERP
79 Reddit threads are currently ranking across the 6 tracked prompts, with an average of 56 threads per run. 60 of them, 76%, already mention Brevo. When a buyer searches any of the six high-intent email marketing prompts on Google and lands on a Reddit result, there is a better than 3 in 4 chance that Brevo is already named in that thread.
Sentiment Shift Across Marketing and SaaS Subreddits
The AI and SERP visibility numbers do not exist in isolation. They are being reinforced by what is happening at the community layer, where 37 total mentions across 347 days have spread across 25 active subreddits, including r/MarketingAutomation, r/DigitalMarketing, r/SaaSMarketing, r/aiagents, and r/Brevo. Positive sentiment sits at 79% with 140 estimated upvotes attributed to those mentions and an average engagement of 9.24 upvotes and comments per mention.
The activity heatmap shows consistent mention volume across the 8- to 30-day, 31- to 90-day, and 91- to 180-day windows. This is not a spike that fades. It is a sustained presence that keeps compounding across the windows where AI models and search engines are scraping community signal.
The topic clusters surfacing in those conversations include "brevo emailtracker," "emailtracker iphone," "iphone android," "android brevo," "brevo users," and "clients months," confirming the mentions are tied to active use case discussions and product evaluation, not brand mentions sitting on top of unrelated threads.
Reddit Marketing for B2B SaaS: How Infrasity Builds Visibility That Ranks and Gets Cited
Brevo went from a fragmented community baseline to top 4 rankings across Google AI Overview and ChatGPT for email marketing buying prompts, with an 80% LLM brand mention rate and 76% SERP thread coverage across the queries buyers run during evaluation.
This is the same approach we run for every B2B SaaS and DevTool company we work with. No paid placements, no promotional noise. Just consistent, compounding presence in the communities, threads, and AI-cited conversations where your buyers are already making decisions.
Want to know where your product stands right now?
We will run a free Reddit and GEO visibility audit for your product. You will walk away knowing exactly which threads are ranking for your category keywords, which LLM prompts your competitors are already appearing in, and where your product should be showing up but is not.
