Vesna Scepanovic 
Everyone in SaaS is chasing the same thing: the next smart move. A missing feature. An overlooked user. A market gap worth building for.
The problem? Spotting a real opportunity takes time. That means digging through reviews, mapping competitors, and connecting what people need with what products actually do. It’s the part of the SaaS marketing strategy that often gets overlooked, but ends up shaping everything
So we ran a test. Can AI spot the kind of opportunity that could actually shape your strategy before your competitor does?
What We Tested
We picked a well-known topic with lots of competition: project management SaaS.
Then we asked five leading AI tools to find what’s missing, not just what exists. The goal was to see if AI could dig up a market opportunity worth exploring, something a founder or SaaS marketing team could realistically build around.
No feature lists. No keyword dumps. Just a focused look at whether AI could identify an actual gap that users care about.
The Prompt
We prompted each AI tool the same way:
Analyze the project management SaaS market and suggest one clear product or feature gap. Focus on real user pain points. Avoid generic ideas or anything already offered by popular tools. Be precise, be concise.
The Results
Each AI tool took a different route to answering the same challenge. Some spotted real pain points with clear market potential, while others circled familiar territory. Here’s how they performed and what that tells us about using AI to support a smarter SaaS marketing strategy.
ChatGPT 5
ChatGPT 5 was surprisingly sharp. Instead of vague ideas, it identified a real blind spot: unplanned work. It mapped it to both a feature and a use case. The gap is clear, the pain point is real, and the build suggestion feels actionable. For anyone in SaaS marketing, this kind of clarity could fuel an actual pitch deck.
Gemini 2.5 Flash
Gemini 2.5 Flash showed impressive depth. But it’s more whitepaper than workshop. The idea (a semantic project knowledge graph) is original and technically plausible, but the tone is dense and academic. For a SaaS marketing team, it reads more like an R&D briefing than a pitchable opportunity. Strong concept, but buried under too much explanation.
Perplexity.ai
Perplexity.ai was clear and on-topic, with a focus on risk that feels relevant. Still, not exactly new. The idea of proactive, embedded risk mitigation has potential, but the response lacks the sharp edge of a true gap. For a SaaS marketing strategy, it’s more of a refinement than a differentiator. Decent output, but not a showstopper.
Microsoft Copilot
Microsoft Copilot identified a clear gap, a real pain point, and a concrete solution. Nicely done. The idea of real-time, cross-tool dependency mapping hits a coordination issue most tools overlook. It reads like something a SaaS marketing team could easily turn into a campaign or a feature launch page. Not flashy, but smart and highly usable.
Claude Sonnet 4
Claude Sonnet 4’s answer is smart, clear, and well-structured. Claude landed on a similar idea to Copilot (cross-tool dependency mapping) but backed it up with a real example, a “why it’s unsolved” breakdown, and even market validation. For teams shaping SaaS marketing strategy, it’s the kind of output you could build a landing page around.
The Verdict
Most tools delivered more than just filler. Some even bordered on pitch-ready. ChatGPT-5 and Claude Sonnet 4 stood out for clarity, context, and real-world relevance. Copilot offered a focused pain point with strong messaging potential, while Gemini and Perplexity leaned toward technical or generic messaging.
If you’re building a SaaS marketing strategy around a real gap, AI can absolutely help you frame the conversation.
But surfacing an original, market-worthy idea? That still takes a sharp brief and a sharper eye.
Zlurad PoV
AI can help you brainstorm faster, but it won’t do your market thinking for you. Even the best outputs in this test needed refinement, simplification, or repositioning before they’d land in a real SaaS marketing brief.
The tools can surface patterns and echo known pain points. But turning that into an opportunity people actually care about? That’s strategy. That’s positioning. And that still takes a human.
What Say We?
AI can point at the map.
But picking the gap and turning it into a win is still your move.