How My AskAI launched programmatic FAQ pages at scale with Softr Databases

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The Problem

My AskAI was testing new SEO growth strategies and noticed a pattern: many public help pages from the help desk software they integrate with were hard to navigate and didn’t surface answers clearly. People were searching for specific “how do I…?” questions, but the experience was slow, messy, and frustrating.

The team saw an opportunity to rebuild that experience as clean, scannable FAQ directories that would help users and perform well in search. But this was an experiment—it only made sense if they could ship it fast. 

They already build with Bubble (and still use it for their main website), but it wasn’t the right tool for this particular job: the pages weren’t fast enough for what they wanted, and managing large amounts of FAQ content after upload wasn’t simple. 

They also didn’t want to “vibe code” their way through something they’d already clearly defined the scope of and had the data for. My AskAI needed a solution that could:

• Create fast-loading, SEO-friendly pages programmatically, at scale (and in 1-2 days) 
• Work with their existing data, making it easier to manage and update
• Let them import, organize, and maintain hundreds of FAQs without scripts
• Stay low-maintenance with no infrastructure or deployments to manage

The Solution

My AskAI CTO and founder Alex Rainey used Softr to build three programmatic SEO FAQ directories, each made up of hundreds of pages, designed to help users find clear answers about using Intercom, Zendesk, and Shopify.

The most time-consuming part was compiling the content: scraping public help centers and using AI models to identify gaps and generate questions that weren’t clearly answered elsewhere. Alex started with Google Sheets as the data source to move quickly with the initial build. The first “aha” moment was how easy it was to connect data to Softr without having to restructure content or manually create database fields. 

As the dataset grew and My AskAI’s content team got involved, they moved from Google Sheets to Softr Databases using a CSV import. That shift turned the FAQ directories into a true full-stack Softr setup: the content lived in a database built for ongoing edits and collaboration, while the front-end directories automatically reflected updates. Bulk changes became faster, content reviews were easier, and it was simpler to spot gaps and optimization opportunities.

The build itself stayed intentionally lightweight:

• The directories were fully public, so they didn’t need user permissions
• The team added Google Analytics in under a minute to track the experiment
• They embedded an Intercom widget to support visitors in-context

Each of the three directory launches got faster with every iteration—once the content was generated, it could go live in under an hour.

The Impact

My AskAI saw ~20K additional organic visits to the 3 new help directories within the first 6 months, and the pages ranked well on Google—especially the later launches, where they applied learnings from earlier iterations.

When My AskAI tested the Softr-built pages with Google Chrome Lighthouse, they scored strongly across the fundamentals that support organic growth, including speed, mobile experience, accessibility, and SEO readiness.

“The increase in traffic and search impressions from a brand POV is a big win here,” said Alex. 

Equally important, the project stayed easy to maintain. My AskAI didn’t take on infrastructure, deployments, or a custom-built maintenance burden. And with Softr Databases, the team could manage the content in one place as the product and search demand evolved.

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