# AI prompt ideas generator > For the complete documentation index, see [llms.txt](https://attensira.com/llms.txt). > Every page on this site is also served as Markdown: append `.md` to any URL, or send `Accept: text/markdown`. > Give a domain and get about 25 prompts its market plausibly asks AI assistants, grouped by topic and split by intent. Modelled from the site. Free. - Canonical page: https://attensira.com/tools/prompt-ideas - Source: converted from this page's own HTML. It carries no claim records, because the page is not a content-pipeline entity. The AI prompt ideas generator takes a domain and returns about 25 questions its market plausibly asks ChatGPT, Claude and Perplexity, grouped by topic and split into informational and commercial. They are modelled from the site, not from search volume, so treat them as a starting list to check. Free, no sign-up. Our run attensira.com Input attensira.com - Category it read: AI search visibility software - Prompts: 24 in 6 topics - Intent: 16 informational, 8 commercial - Naming a brand: 0 of 24 AI prompt ideas generator, production, n=1 run, 24 prompts · 4 Oct 2026 Or use the free tool below ## Suggest prompts Seconds: one model call on our server · Free, no sign-up Your domainSuggest prompts A bare domain is enough. We read the homepage for context where the site lets us, then produce about 25 prompts for the market it sits in. Free, no sign-up, the whole list is shown. **These prompts are plausible, not measured.** They are what a model says people in this market would ask an assistant. No prompt volume, assistant traffic or click data sits behind them: the assistant providers do not publish their query logs, and this tool consults no volume source of any kind. The way to find out which of these your market really asks is to track them. Or start from an example: linear.appmonzo.comfigma.com Your result appears here - Category it read - Prompts - Intent - Naming a brand See our own run Share ## What does it read, and what comes back? 1. ### What it reads Your homepage's title, meta description and first few headings, and nothing else. The result lists what was read. 2. ### What comes back A starting set of prompts, the way people ask an assistant, grouped into topics and tagged by intent. 3. ### When the page cannot be read A login wall, a bot block or a redirect loop is reported, and the list falls back to the domain name alone. ## What does it suggest for attensira.com? We gave it our own domain. It read our homepage and modelled the questions our market might ask. > Three of the commercial prompts, verbatim > > cost comparison of AI SEO agency versus software subscriptions · questions to ask AI search optimization agencies · best AI SEO tools vs agency services It read the category right, and the commercial prompts are ones a buyer of ours could type. None of the 24 names a brand, which is the right default: an unbranded prompt is the honest test of whether an assistant reaches for you unprompted. What a homepage cannot tell a model is who you are compared with. We also track “Attensira vs Profound” and “Attensira reviews”, because buyers close to choosing name names. Add those yourself, track all of them, and let the answers tell you which matter. The run is the result panel at the top of this page. Read on 4 Oct 2026. About this tool - You give it: A domain - It runs: Seconds: one model call on our server - It keeps: About a day in a shared cache keyed by the domain; nothing tied to you - Cost: Free, no sign-up - Our own run: attensira.com · 4 Oct 2026 ## Why start from prompts rather than keywords? People do not type keywords into an assistant. They type sentences, like “what is the best invoicing tool for a solo designer”, “is X or Y better for a small team”, and the assistant answers with a handful of named products. Whether you are one of those names is decided prompt by prompt, so the first practical question for anyone doing this work is simply: *which prompts should I be watching?* This tool produces a starting set. The tool fetches the homepage of the domain you give it, reads the title, the meta description and the first few headings, and passes exactly that to one model under a fixed response schema. The result panel lists what was read, so you can see whether the model had anything useful to work with. If the fetch fails (a login wall, a bot block, a redirect loop), the page says so and falls back to the domain name alone rather than pretending otherwise. What it reads - From your homepage: Title, meta description, first headings - Model calls: One, under a fixed schema - If the fetch fails: It says so and uses the domain alone ## How do you turn the list into something worth acting on? - **Cut the ones you do not want to win.** A generated list is generous by design. A prompt whose answer you could never credibly be part of is noise in every report that follows, and the cheapest time to remove it is now. - **Keep the commercial ones even when they hurt.** “Alternatives to \[you\]” and “\[you\] vs \[competitor\]” are asked by people who already know your name and are deciding against you. They are uncomfortable and they are the highest-value prompts on the list. - **Add the five you know we missed.** You know how your customers phrase things, including the internal jargon that never appears on your homepage. A model reading a marketing page cannot know that. - **Track them before you write anything.** Writing a page for a prompt you have never checked is guessing twice. Run the prompts first, see which answers already name you, and write for the gaps rather than for all 25. - **Re-run it after a repositioning.** This list is derived from what your homepage currently says. Change the positioning and the plausible prompts change with it, which is itself a useful check on whether the new copy reads the way you intended. ## What happens after you track these prompts? Inside Attensira, the prompts you track are read on every engine your plan includes, at most once a day each. After the first reading, a set-up run reads your site and the prompts you lost, groups the losses by the source that decided them, and files at most three rows for you to decide on. [The set-up run](https://docs.attensira.com/start/set-up-run). Software that does your AI-search visibility work, with you in control of every change. ## Why is a prompt list the first step, not the last? Almost every measurement in AI search is downstream of a prompt list. Mention rate is a rate *across prompts*. Share of voice compares you to competitors *on the same prompts*. A citation report is a list of which pages were cited *in answers to prompts*. Choose the list badly and every number built on it is precise and irrelevant. That is also why the list is worth arguing about with someone who sells your product. Fifteen minutes of a salesperson’s attention on this page will beat any generator, including this one, because they have heard the actual sentences. Treat the output here as a first draft that saves you the blank page, not as a finished research artefact. Built on the list - Mention rate: A rate across prompts - Share of voice: You against rivals on the same prompts - A better source: A salesperson who has heard the sentences ## Questions people ask about this generator What it will not claim - Plausible prompts, not measured demand: no assistant publishes its query logs. - It reads your homepage's title, description and first headings, nothing more. - The counts describe the list you can see, not your market. ### How many people actually ask these prompts? We do not know. Assistant providers do not publish their query logs, so we have no volume figure to attach to any prompt here, which is exactly why this tool shows none. Search-keyword volume answers a different question about a different surface; pasting it beside a prompt would make the number look measured when nothing here was measured. ### Does this tell me whether my site appears in answers to these prompts? No. This tool takes no measurement of any kind. It never asks an assistant anything about you. Finding out who gets named means running each prompt against the assistants repeatedly and counting, which is what [prompt tracking in the product](https://attensira.com/features/prompt-tracking) does on a schedule. ### Why do most of the prompts not mention my company name? Because the model is asked for them that way, on purpose. Unbranded prompts are the ones where an assistant picks the names it mentions, so they are where there is something to win; a list made only of “is \[you\] any good” covers people who already found you and would flatter you without teaching you anything. Comparison phrasings are asked for (about one in five); branded prompts are left for you to add, since you know which ones your buyers type. ### Will I get the same list twice? No. The model call is non-deterministic, so wording and grouping move between runs. Treat a topic that shows up across several runs as the stable signal, and treat any single phrasing as one sample: one run is one sample, not a finding. If a prompt matters to you, copy it out; do not rely on it reappearing. ### What do informational and commercial mean here? Informational prompts are asked to understand something; commercial prompts are asked while choosing what to buy. The split matters because they need different pages: an explainer answers the first, a comparison or pricing page answers the second, and a site that only has one kind disappears from half the answers in its own category. ### Do you store the domains I put in? Not against you. The domain reaches our marketing service as a request and appears in its logs, and your address is counted against a per-tool rate limit so one caller cannot run this all day, but there is no account, no email field and no history you could be looked up in. The list is held for about a day in a shared cache keyed by the domain, which is what keeps a domain costing one model call rather than one per visitor. So the shareable link may return the cached list rather than generating a new one. ## This suggests prompts. Attensira tracks them and does the work.