260+ Seeded Engagements, 1,200+ Upvotes, $52K Monthly Value
260+ seeded engagements, 1,200+ upvotes, and $52K monthly visibility value in 8 weeks.

Targeted Engagements
Combined Upvotes
Citation Sources Strengthened
Campaign Duration
About the Brand
A growing player in the B2B SaaS & Automationspace, this brand recognized early that its online narrative was being shaped without any input from the team. Search engines and AI models were pulling from uncontrolled public discussions to form the brand's digital identity.
The Problem
The brand had zero visibility in AI-generated recommendations despite operating in one of the fastest-growing SaaS categories. Competitors were being cited by ChatGPT and Gemini in product comparison queries while this brand did not appear at all. Category discussions had no mention of the product, leaving a major gap in both organic search and AI citation pipelines.
What We Did
- 01.Identified high-intent communities where target buyers actively discussed automation tools and workflow optimization
- 02.Deployed 260+ community-native engagements over 8 weeks, focusing on genuine product comparisons and workflow discussions
- 03.Built citation signals across Reddit, Product Hunt communities, and Google-indexed discussion threads to strengthen AI visibility
The Shift
Within 5 weeks, the brand started appearing in discussion threads organically cited by community members. AI models began including the brand in product comparison responses. Monthly measurement showed a 180% increase in AI-generated mentions across high-intent SaaS queries.
Results
$52,000
Estimated monthly value in paid-search equivalent for keywords now ranking in top 10.
The brand moved from zero AI visibility to consistent citation across ChatGPT and Gemini for product recommendation queries. Inbound demo requests increased measurably from users who mentioned seeing the brand in community discussions.
What This Means
This case study demonstrates what happens when a brand takes control of its narrative across the platforms that feed into AI models. The results compound over time as these citations become permanent fixtures in training data.
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