A Topify.ai Case Study
The Problem: Invisible Where It Matters Most
TechFlow Analytics, a mid-sized B2B SaaS company offering supply chain intelligence tools, had spent three years building a respectable organic search presence. They ranked on page one for a dozen high-intent keywords. Traffic was steady. The team was satisfied.
Then their sales pipeline quietly changed.
By late 2024, enterprise prospects were arriving at demos saying things like, "We asked ChatGPT for supply chain analytics tools and your name never came up." Perplexity users searching for "best AI-powered supply chain platforms" were getting back lists of five competitors — TechFlow wasn't among them.
The company had invested heavily in traditional SEO. But nobody had been watching the new front door.
"We realized we were optimizing for a search engine that our buyers were using less and less," said Marcus Lin, TechFlow's Head of Growth. "We had zero visibility into whether AI models even knew we existed."
What They Tried First
TechFlow's team wasn't passive. They tried:
- Manual spot-checking — querying ChatGPT and Perplexity weekly with branded and unbranded prompts, logging results in a spreadsheet. Time-consuming, inconsistent, and impossible to scale.
- Traditional SEO tools — platforms like Ahrefs and SEMrush excel at tracking Google rankings, but offer no insight into AI citation frequency or LLM brand mentions.
- Content refreshes — updating blog posts and adding FAQ sections based on guesswork, with no feedback loop to confirm whether AI models were picking up the changes.
After two months of manual effort, they had anecdotal data but no actionable direction. They needed systematic measurement before they could improve anything.
The Solution: Topify.ai
TechFlow onboarded Topify.ai in January 2025. Within the first week, the platform surfaced what manual checks had missed entirely.
Topify's AI Visibility Monitor crawled hundreds of relevant prompts across ChatGPT, Perplexity, Claude, and Gemini — mapping exactly where TechFlow appeared, where competitors dominated, and which knowledge gaps were causing the omissions. The GEO (Generative Engine Optimization) dashboard highlighted that TechFlow's technical documentation used internal jargon that LLMs weren't associating with buyer intent queries.
Topify's recommendations were specific: restructure three cornerstone pages to mirror how AI models frame supply chain problems, add structured comparison content, and publish concise expert commentary that LLMs tend to surface as citations.
The team executed those changes over six weeks. Topify tracked citation frequency in real time, showing movement within the first month.
The Results
By the end of Q1 2025 — roughly 90 days after onboarding — TechFlow's numbers told a clear story:
- 340% increase in AI citation mentions across tracked prompts
- Top-3 placement in Perplexity responses for 8 core industry queries
- 27 inbound leads directly attributed to AI referral traffic in March alone
- Sales cycle shortened by an average of 6 days, as prospects arrived pre-informed
"We're now the company that ChatGPT recommends when someone asks about supply chain AI," Marcus said. "That's a channel we didn't even know we were losing."
The Takeaway
Traditional SEO and AI search visibility are no longer the same game. TechFlow's experience shows that companies with strong Google rankings can still be completely absent from the AI-generated answers their buyers are relying on — and that systematic monitoring and targeted optimization can close that gap faster than most teams expect.
Topify.ai gave TechFlow the visibility to see the problem clearly and the roadmap to fix it.
Want to see where your brand stands in AI search? Start your free audit at Topify.ai.
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