> ## Documentation Index
> Fetch the complete documentation index at: https://docs.genrank.io/llms.txt
> Use this file to discover all available pages before exploring further.
# Prompt Suggestions
> Enter any URL and GenRank generates the prompts users are likely to ask ChatGPT about that page, product, or brand — no manual guesswork required.
Page Scan turns your existing website content into a structured prompt library. Instead of manually inventing questions your customers might ask, you provide a URL and GenRank analyzes the page to generate a list of realistic prompts users would type into ChatGPT to find, evaluate, or learn about what that page represents. It bridges the gap between the content you have already created and the conversational behavior happening in AI.
## What Page Scan does
When you submit a URL, GenRank reads the page content — the headlines, product descriptions, features, use cases, and positioning language — and generates prompts that reflect natural user intent around that content. The output is a list of ready-to-review suggestions organized by prompt type, which you can selectively add to your Prompt Manager.
This is especially useful when:
* You have product or feature pages that represent specific use cases but haven't yet mapped those to AI queries
* You launch a new landing page and want immediate prompt coverage without starting from scratch
* You publish a blog post and want to understand what AI visibility that content could support
* You want to audit how well your current content aligns with the questions people actually ask
Page Scan works on any publicly accessible URL. If a page is behind a login or restricted by robots.txt, the scan may return limited results or be unable to complete.
## How to use Page Scan
Open **Prompt Research** in the left sidebar and select **Page Scan**.
Paste the full URL of the page you want to analyze into the input field. This can be your homepage, a product page, a feature landing page, a blog post, or any public page on your site.
Click **Scan**. GenRank fetches the page content and runs it through its prompt generation model. Most scans complete within 30 to 60 seconds depending on page length and complexity.
The results panel displays a list of generated prompts grouped by intent type — discovery, comparison, transactional, and branded. Each prompt appears as a standalone suggestion you can preview before deciding whether to track it.
Check the prompts that are relevant to your tracking goals. You can select individual prompts or choose all prompts in a category at once. Deselect any that are too generic, inaccurate, or outside the scope of what you want to monitor.
Click **Add Selected**. The chosen prompts are transferred directly to your Prompt Manager with their intent categories pre-assigned. From there you can adjust categories, enable web retrieval, or edit the prompt text before they go live.
## When to run a Page Scan
Page Scan is not a one-time setup step — it is a recurring input as your content grows and evolves.
Run a scan on new landing pages immediately after publication. Capture the prompts users will ask about your new offering before your competitors establish visibility in those queries.
Informational content often maps to discovery-stage queries. Scan articles, guides, and comparison pages to find the conversational prompts your content can support.
Your homepage and top-level product pages represent your broadest positioning. Scanning them surfaces the core queries that define how your category and brand are perceived in AI.
You can scan publicly accessible competitor URLs to identify which prompts their content is optimized to address — and compare that against your own coverage.
## Understanding the results
Page Scan generates prompts based on what your page represents, not what it ranks for. The output reflects conversational intent derived from your content, so the quality of the suggestions depends on how clearly your page communicates its purpose.
If a page scan returns prompts that seem off-target, consider whether the page itself clearly articulates:
* What the product or content is
* Who it is for
* What problem it solves or question it answers
* How it compares to alternatives
Pages with vague or sparse copy tend to produce generic prompt suggestions. Pages with specific use-case language, clear audience targeting, and concrete problem framing produce more actionable prompt sets.
Use Page Scan output as a signal about your content clarity. If the generated prompts don't reflect the queries you want to own, that may indicate your page needs sharper positioning — both for AI visibility and for the humans reading it.
## Adding scanned prompts to your library
After selecting prompts from a scan, they appear in your Prompt Manager as inactive by default, giving you a chance to review and configure them before tracking begins. Activate the prompts you want GenRank to run, and they will be included in the next scheduled tracking cycle.
Prompts added through Page Scan count toward your plan's prompt slot limit. If you are approaching your limit, review your existing library and deactivate any prompts that are no longer relevant before adding new ones from a scan.