Case Study · Software Directory
Gappsy
A software directory built for browsing, adapting to buyers who now just ask instead.
About Gappsy
Gappsy is a software discovery and comparison platform covering thousands of tools across dozens of categories — from AI and no-code builders to CRM, marketing and productivity software — plus a directory of marketing agencies. It's built to help business owners compare pricing, features and reviews side by side.
Why AI visibility matters here
A directory's entire business is helping people discover and compare options — historically by browsing categories and reading listed comparisons. As more of that discovery moves into an AI assistant directly answering "what's a good CRM for a small team," a directory's own comparison content needs to be part of that generated answer, not just a page the searcher used to visit instead.
What the approach centers on
Structured comparison content
Making category and comparison pages easy for a generative engine to parse and reuse directly — clear pricing, feature and use-case breakdowns rather than long unstructured description text.
FAQ-formatted category pages
Answering the specific questions buyers ask when narrowing a category ("best free alternative to X," "cheapest option for a small team") in a directly extractable format.
Consistent tool descriptions
Keeping how each listed tool is described consistent across Gappsy's own pages, since a directory's core value is accuracy — the same consistency that builds buyer trust also builds AI-model trust.
Category clarity over breadth
Making sure category definitions are specific and non-overlapping, so a model can confidently match a narrow buyer question to the right part of the directory instead of a vague, broad one.
The kind of tracking behind this approach
The sources AI cites repeatedly shape which brands get recommended.
Where things stand
Gappsy is one of the sites we track with MentioningYou ourselves, alongside Vazagency. As with that case, we're deliberately not attaching a specific results number here — this is our own product used on our own site, tracked the same way any customer's would be, not a finished campaign with a headline metric.
