Overview
Respond.io is a customer conversation management platform built for modern businesses handling high volumes of messaging across WhatsApp, social channels, and messaging APIs. As messaging becomes a primary customer touchpoint, businesses increasingly rely on platforms like Respond.io to centralize conversations, automate workflows, and scale support and sales operations efficiently.
However, in categories driven by peer recommendations and real-world usage stories, traditional marketing alone often falls short. Discovery increasingly happens through community discussions, search engines, and now AI assistants that surface trusted, experience-backed sources.
This case study explores how Respond.io partnered with Infrasity to strengthen its organic visibility, community credibility, and AI-era discoverability, while maintaining authenticity and trust across developer- and operator-led platforms.
Initial Challenges Respond.io Faced
When Respond.io engaged with Infrasity in late August 2025, the primary focus was Reddit and community-led visibility. Previous attempts at community marketing had not delivered meaningful outcomes.
Key challenges included:
Lack of measurable visibility outcomes
Engagement existed, but it was not translating into discoverability, rankings, or sustained brand presence.Inconsistent community traction
Community participation is nuanced. Without a clear understanding of platform dynamics, messaging risked being ignored or failing to resonate.Difficulty balancing clarity and authenticity
Communicating product value in community environments requires precision. Messaging needed to remain helpful and informative, without sounding promotional.Low AI and search surface visibility
Despite being a strong product, Respond.io was underrepresented in AI-generated answers and search results for high-intent keywords.
Infrasity’s Approach to Respond.io’s Challenges
Infrasity approached Respond.io’s growth from a visibility-first, trust-led perspective, based on how modern buyers actually discover and evaluate B2B SaaS products today. Instead of starting with campaigns or promotions, the focus was on shaping how Respond.io appeared wherever evaluation already happens.
Rather than relying on traditional outbound marketing, the approach centered on three key areas:
Meeting users where real decisions are discussed
Respond.io was positioned in environments where teams openly ask for recommendations, compare tools, and share real experiences. For example, when buyers discussed messaging platforms, WhatsApp APIs, or alternatives to existing tools, Respond.io appeared as part of those conversations in a helpful, contextual way.Strengthening presence across organic discovery surfaces
Discovery rarely happens in one place. Someone might first see a community discussion, then search for comparisons, and later ask an AI assistant for guidance. The strategy ensured Respond.io showed up consistently across these touchpoints, so each interaction reinforced the next.Ensuring consistent and accurate representation
Across communities, search results, and AI-generated answers, Respond.io’s value was framed clearly and consistently. This reduced confusion during evaluation and helped both people and AI systems surface Respond.io in the right context, for the right use cases.
Help Your B2B SaaS Get Discovered Across Communities and AI
Infrasity’s Action Plan for Respond.io
To support Respond.io’s growth, we followed a structured, phased approach that allowed visibility to scale naturally while keeping trust and credibility intact. Each phase built on the previous one, ensuring that progress was steady, measurable, and sustainable rather than rushed.
Phase 1: Alignment & Discovery
The work started with alignment. Before focusing on visibility, we needed a clear understanding of Respond.io’s product, audience, and existing presence across communities and search.
This phase focused on getting the fundamentals right:
Product and platform walkthroughs
We spent time understanding Respond.io’s features, use cases, and positioning so that any future mentions or references would be accurate and grounded in real functionality.Reviewing existing community presence and sentiment
We looked at how Respond.io was already being discussed, where conversations were happening, and what the overall tone looked like. This helped establish a clear baseline before making changes.Defining success metrics early
Together, we aligned on what success would look like across visibility, sentiment, and search rankings. This ensured that progress could be tracked clearly and evaluated over time
Phase 2: Visibility & Discoverability Enablement
Respond.io’s presence was strengthened across multiple organic discovery channels:
Community discussions where buyers actively evaluate solutions
Search surfaces for high-intent comparison and alternative keywords on SERP and AI overviews
AI assistants that increasingly influence software discovery like Google AI Overviews, ChatGPT, Perplexity
Rather than pushing messaging, the focus was on ensuring Respond.io appeared where relevant conversations were already happening, backed by clarity and context.
Phase 3: Compounding Community & Search Impact
- As momentum built, Respond.io’s visibility began to compound organically across multiple discovery channels. Early community contributions and original discussions did not exist in isolation; over time, they became durable reference points that continued to surface wherever users searched for answers.
- Original community posts gained sustained engagement and long-term search visibility, allowing Respond.io to appear naturally in high-intent queries well beyond their initial publication window. These posts functioned as evergreen assets, reinforcing Respond.io’s relevance as users evaluated alternatives, comparisons, and best-fit solutions.
- At the same time, AI-driven discovery channels began to consistently surface Respond.io as a referenced solution. As AI assistants increasingly rely on credible, experience-backed sources, the growing footprint of trusted community discussions helped position Respond.io as a reliable answer within AI-generated responses.
- In parallel, community sentiment shifted steadily toward positive across relevant sub-communities. As discussions accumulated and visibility increased, Respond.io was more frequently associated with clarity, reliability, and real-world usability rather than marketing claims.
- Together, these forces created a self-reinforcing flywheel: community credibility improved search visibility, improved search visibility increased AI references, and AI references further validated Respond.io’s presence in community and evaluation-driven conversations. The result was sustained, compounding visibility that continued to grow without requiring constant promotional effort.
What Are the Results Achieved?
The partnership delivered measurable, compounding outcomes across visibility, rankings, and sentiment.
Visibility & AI Discovery
LLM-citable threads increased by x4 (from ~10 to ~40 different reddit conversations contributing to AI visibility)
Respond.io began appearing consistently in top AI prompt responses
Search & Rankings
40% of all OPs achieved first-page, top-5 rankings
Multiple keywords reached #1 positions organically like:
- Best Whatsapp Api Provider
- Best Whatsapp Api for Medium Sized Business
- Sleekflow alternative
- Wati alternative
- Best Whatsapp automation tool
How the Sentiment Shifted Toward a Positive Direction
Community sentiment shifted from mixed to mostly positive over the course of the engagement.
Sentiment analysis measures the tone of real conversations around a brand across public platforms. Instead of tracking volume alone, it helps understand whether discussions reflect trust, confidence, and genuine approval. For B2B SaaS companies, this is important because buyers often rely on peer sentiment when shortlisting or comparing tools.
What we observed over 4 months:
~24% cumulative positive sentiment growth across tracked communities
Clear shift from mixed to mostly positive sentiment, indicating improved perception
Stronger trust signals in SaaS and marketing-focused communities, where evaluation conversations happen
This trend shows that as Respond.io’s visibility improved, the quality and tone of conversations improved with it, supporting long-term credibility and organic growth.
A Message from Respond.io’s Leadership
“ Infrasity is constantly looking for ways to work more productively and be more optimized.”
— Respond.io Leadership Team
How Infrasity Enabled Community-Led Visibility
At Infrasity, we help B2B SaaS and DevTool companies improve how they are discovered across communities, search, and AI-driven platforms. Our work with Respond.io focused on making sure the product showed up clearly and accurately in places where real buying decisions are made.
The emphasis was not on pushing messages, but on ensuring Respond.io appeared in the right contexts, with the right framing.
Starting With Real User Problems
We positioned Respond.io around problems that teams already discuss openly, such as managing WhatsApp conversations at scale, setting up reliable messaging workflows, and choosing the right customer communication platform.
By leading with these problems instead of product features, Respond.io fit naturally into ongoing discussions. This mirrors how most SaaS buyers evaluate tools, by first looking for practical solutions to everyday challenges.
Keeping Messaging Consistent Across Discovery Channels
Product discovery rarely happens in one place. A buyer might read a community thread, search for comparisons on Google, or ask an AI assistant for recommendations.
We made sure Respond.io’s positioning stayed consistent across these touchpoints. This helped build recognition over time and ensured that search engines and AI systems surfaced accurate information when Respond.io was relevant to the query.
Building Visibility That Compounds Over Time
Rather than optimizing for short-term wins, we focused on long-term visibility. Community discussions and original posts were treated as assets that continue to drive discovery after they are published.
As these conversations gained traction, they began appearing in search results and AI-generated answers, allowing Respond.io to reach new audiences without constant promotion.
Staying Practical and Intentional
Engagement was always intentional. We contributed only where Respond.io clearly fit the conversation and could add value.
This kept the brand practical and grounded, and avoided sounding promotional. Over time, this approach led to stronger trust and more organic visibility across the channels that matter most.
Want to Learn More About Infrasity & Our Approach to Growth?
Respond.io’s journey shows how modern B2B SaaS growth is increasingly shaped by community trust, organic discovery, and visibility across search and AI-driven platforms. Instead of relying on short-term campaigns, the focus was on building presence where real evaluation happens and letting that visibility compound over time.
By partnering with Infrasity, Respond.io:
Built credibility across high-intent community platforms where buyers actively compare tools
Achieved measurable gains in AI and search visibility, including consistent presence in LLM-generated answers
Established sustainable, long-term discovery channels that continue to drive visibility beyond individual posts or campaigns
This approach is not unique to Respond.io. We work with B2B SaaS and DevTool companies across categories, including teams like Brevo, Rocket.new, and Qodo, helping them improve how they are discovered, discussed, and trusted across modern buying surfaces.
If you’re building a B2B SaaS product and want visibility that lasts beyond one-off campaigns, we’d be happy to explore how this approach can work for you.
