B2B SaaS / Project Management

How TechFlow grew its AI search visibility

TechFlow, a B2B SaaS project management platform, turned to Aivius's full 6-step GEO engine to make sure AI models consistently recommended its product when users asked about project management software.

Illustrative customer analytics dashboard.

Illustrative scenario. This case study is a composite based on typical outcomes for B2B SaaS companies using Aivius. Specific metrics are directional, not exact.

Customer overview

CompanyTechFlow
IndustryB2B SaaS / Project Management
ScaleMid-market B2B SaaS
ChallengeTechFlow noticed that AI models like ChatGPT, Perplexity, and Google AI Overviews didn't consistently recommend its project management software when users asked about project management tools, task trackers, or team collaboration platforms.

TechFlow had invested heavily in traditional SEO and ranked well for project management keywords. But when the team started asking AI models the same questions their buyers ask — "what's the best project management tool for a remote team?" — TechFlow was often missing from the answers. Competitors showed up more frequently, even when TechFlow's content was more comprehensive. It became clear that AI search was a different channel from SEO, and the old playbook wasn't going to fix it.

Solution: Full 6-step GEO engine + AI Corpus Analyzer

1

Market Competition Analysis

Aivius benchmarked TechFlow's AI Share of Recommendation against the leading project management tools. The analysis revealed that TechFlow was losing recommendation share in a meaningful share of high-intent project management queries on ChatGPT.

3

Prompt Research

The Prompt Research Tool mapped a broad set of project management-related prompts across multiple AI models — from "best project management tool for small teams" to "how to track tasks across teams." TechFlow identified dozens of missed citation opportunities where it should have been recommended but wasn't.

5

Off-page Optimization + AI Corpus Analyzer

The AI Corpus Analyzer revealed which content sources each LLM prefers for project management topics. TechFlow used this insight to strengthen its presence on Wikipedia, increase authoritative citations on Reddit and Quora, and place strategic content on the platforms each AI model draws from.

Implementation timeline

Month 1 — Market Competition Analysis
Benchmarked AI Share of Recommendation against key competitors. Identified a meaningful share of high-intent project management queries where competitors were being recommended instead of TechFlow.
Month 2 — Prompt Research + AI Corpus Analysis
Mapped a broad set of project management prompts across multiple AI models. Ran the AI Corpus Analyzer to determine each model's preferred content sources for project management topics. Identified dozens of missed citation opportunities.
Month 3-4 — On-page + Off-page Optimization
Optimized TechFlow's blog, help center, and landing pages with LLM-friendly structure and citation-ready content blocks. Strengthened Wikipedia presence and placed strategic content on Reddit, Quora, and authoritative project management publications.
Month 5 — Results measured
AI citation rate grew significantly, and multiple AI models now cite TechFlow consistently in project management-related responses.

Results

Grew
AI citation rate significantly
Multiple
AI models now cite TechFlow
★★★★★

"We'd spent years winning traditional SEO, so it was a shock to see how often we were absent from AI answers. Aivius made it clear that AI search is a different channel with different rules — different sources, different prompts, different signals. Once we understood that, we could finally do something about it."

Head of Content
TechFlow

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