AI Search prompt ideator
Get 30 realistic prompts your customers actually type into ChatGPT and Perplexity — grouped by buyer stage.
Tell us what your business does and we'll generate 30 grounded prompts grouped by buyer stage. Free for 3 runs per day per IP.
Why AI Search prompts ≠ traditional keywords
Classic SEO tools give you keyword lists — short, intent-light phrases like “CRM for agencies” or “best SEO tool 2026”. People type those into Google, click a link, and explore. AI Search works differently: people type full questions in conversational voice, and the LLM answers in one shot. Whether your brand shows up depends on whether your content is the kind of thing the model wants to cite when answering that specific question.
This generator gives you 30 of those full-question prompts — the actual sentences your audience types into ChatGPT, Perplexity, Gemini, or Claude. Spread across awareness, consideration, and decision stages, so you can map them onto your funnel and your content calendar.
How to use this output in practice
- Pick the prompts that match your funnel. If you mostly need top-of-funnel awareness traffic, focus on the awareness column. If you're trying to win comparison searches, the consideration column is where the fight is.
- Click “Check citation” on each prompt that matters to you — it pre-fills our AI Search visibility check and runs the prompt against an LLM to see who's currently cited. Note the gaps.
- For prompts where you're not cited, audit your content. Do you have a page that directly answers that prompt? Not adjacent — directly. LLMs cite passages that read like answers, not pages that orbit the topic.
- Add structured data and an llms.txt using our schema generator and llms.txt generator to maximize the chance LLMs pull your page into the answer.
What “awareness / consideration / decision” means for AI Search
- Awareness — someone realizes they have a problem and asks the AI to frame it. “What is X?”, “Why does Y happen?”, “How do I know if I need Z?” High-funnel, high-volume, lower per-visit value.
- Consideration — they know the category and are comparing. “Compare A vs B”, “What's the best [thing] for [use case]?”, “Pros and cons of [approach]”. This is where you can lose to an aggressive competitor with one good comparison page.
- Decision — ready to commit, looking for permission. “Is [vendor] worth it?”, “Has anyone used [product] for [niche]?”, “What should I expect when buying [thing]?”. Lower volume, much higher conversion when you're cited.
FAQ
How is this different from a keyword research tool?
Keyword tools return phrases ('best CRM software'). This returns full conversational prompts ('what's the best CRM for a 3-person SEO agency that also does paid ads?'). The two are complementary — keywords map to traditional SERPs, prompts map to AI Search answers. Both surfaces matter; only one is being optimized for at most companies right now.
Will Claude generate the same prompts every time?
No. We use a moderate temperature so each run produces a different angle on your business. If you want the same set, save the output. If you want broader coverage, run it a few times and combine.
Why only 3 free runs per day?
Each run costs us a Claude API call. Three runs is enough for legitimate exploration. Sign up if you want unlimited generation across multiple projects, plus the ability to monitor whether you're cited for each prompt over time.
Should I write a blog post for every prompt?
Probably not. Many prompts are answered by the same article — a single comparison page might cover 5-6 consideration-stage prompts. Use the prompts as a coverage map, not as a 1:1 article calendar.
How accurate are the buyer stage labels?
They're a useful heuristic, not a science. A prompt can fit two stages, and your specific funnel might map differently. Treat the columns as a starting frame — the real test is whether each prompt matches the kind of searcher you want to reach.
Is my business description saved anywhere?
No. We don't log inputs to this endpoint. Each request is processed by Claude and discarded.
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