The section everyone skips writing
You build the product. You write the homepage. Then you hit the FAQ section and just… stall. Coming up with the right questions is annoying, because you already know how your thing works, so the gaps your customers feel are invisible to you. That’s the trap.
The FAQ Generator flips it around. You describe a product, service, or topic, click Generate FAQ, and it hands back 6 to 8 questions with short, direct answers. The questions are the ones an outsider would actually ask, not the ones you’d think to write at 11pm. Paste them onto a landing page, drop them into a help doc, or use them as a starting outline.
Quick example. Feed it “a meal-prep delivery service for people on a budget” and you’ll get back things like “How much does each meal cost?”, “Can I skip a week?”, “Do you handle food allergies?”, and “What if I’m not home for delivery?” Each one comes with a 1-2 sentence answer you can edit to match your real policies. The answers are placeholders for facts only you know (exact prices, real shipping windows), so you’ll tweak. But the questions? Those are gold, and they’re the hard part.
How it works
- Type a sentence or two describing what you’re making a FAQ for. More detail gets sharper questions.
- Click Generate FAQ.
- Read the Q&A list, copy it, or download it.
That’s the whole flow. No fields to configure, no tone sliders to fiddle with. Describe and go.
Your description gets sent to a server where a language model (Gemini Flash Lite class) writes the questions and answers, then the result comes back as plain text. So it’s not instant-instant, but it’s a couple of seconds, and you can run it again with a tweaked description if the first batch misses an angle.
Why generated questions beat your own
Two reasons. First, the curse of knowledge. You understand your product so well that the basic confusions never occur to you, which is exactly why customers email support asking the “obvious” stuff. An AI approaching cold catches those. Second, speed: writing eight solid FAQs by hand takes 20-30 minutes of staring. This takes one click, and even if you keep half the output, you’ve saved real time.
A good move is to generate, then cross-check against your actual support inbox. The model covers the predictable questions. Your inbox reveals the weird ones specific to your business. Combine both and your FAQ section actually does its job, which is cutting down repeat support tickets.
Where people use it
- Landing pages, right above the footer, where buyers look before they commit
- Help center and knowledge base articles
- Product pages on a store, to handle pre-purchase doubts
- Onboarding docs and internal wikis
- Pitch decks and one-pagers, where an anticipated-questions slide lands well
Need the answers to actually appear in search? The questions you generate make great H3 headings. Pair this with a meta description tool and a content outline before you publish.
Questions people ask
Are the answers accurate to my business? Treat them as drafts. The model writes plausible answers, but it doesn’t know your real prices, hours, or refund policy. Edit those in before publishing.
How many questions do I get? Usually 6 to 8 per run. Want more? Run it again with a slightly different description and combine the best of both batches.
Can I use this for a topic, not just a product? Yes. It works fine for a blog post subject, a course, an event, or a general concept. Describe the topic and it’ll frame the questions around what a curious reader would wonder.
Does this run on my computer? No. Your description goes to a server, gets processed by an AI model, and the Q&A comes back as text. Nothing’s stored long-term, but it’s not a local-only tool.
What makes a good description to feed it? Specifics. “A yoga studio” gets generic results. “A drop-in yoga studio for beginners with no membership required” gets questions about pricing, skill level, and booking that actually fit.