Every page RiseChat tracks, with status, signals, and per-page audit in one list.
See the URLs crawled in your project, their status and the latest crawl. Checks cover JavaScript rendering, metadata and JSON-LD. Open a page to review its content audit and proposed changes. These checks help diagnose your site; they do not reveal an AI platform’s ranking formula.
What it looks like
When to use
It is your main tool in RiseChat for optimization. From this view you can optimize any kind of page, generate new content and Schema for each page, and ship the changes to your company website using the provided instructions.
Review crawled pages
Review crawled pages, their technical checks and content findings. Open a page to prepare changes your team can review and publish.
Three signals per page
The only checks AI crawlers run before they decide whether to read the page.
Check whether important content is available in the HTML and rendered page. Crawler rendering capabilities differ, so inspect the platforms relevant to your audience.
Review titles, descriptions and canonical URLs for accuracy and consistency. These help describe and organize pages; they do not guarantee AI visibility.
Structured data should describe facts visible on the page. Missing JSON-LD alone does not block AI visibility, and Google requires no special Schema for its AI search features.
RiseChat reads your live page, scores each block an AI can cite, and produces the content that closes the gap. This is what the audit looks like inside the platform.
Page sections
6 categories audited
Audit
Evidence
The page mentions 'pricing' and 'support' in body copy but does not include a structured FAQ block or FAQPage schema.
Reasoning
FAQ helps AI pull short answers directly. Without a schema, the model has to infer questions from prose, which lowers citation confidence.
Optimization
FAQ4 FAQ entriesFAQPage schemaContent
FAQ with Question/AnswerDoes RiseChat track ChatGPT mentions?
Yes. RiseChat runs your prompts through the models available on your plan, including ChatGPT, Perplexity, Gemini, Grok, DeepSeek, and Mistral. Checks run every 48 hours, and the dashboard keeps model-by-model history so you can see when each system picks up new source data.
What is the difference between Schema JSON-LD and llms.txt?
Schema JSON-LD is structured data in the <head> that AI models parse to identify your product, FAQ, and HowTo blocks. llms.txt is a flat text file at /llms.txt that gives models a one-page summary of your offer, categories, and FAQ before they read the rest of the site.
How fast will my brand appear in AI answers after deploying Schema?
Plan for at least two weeks before judging impact. Perplexity, Gemini, ChatGPT, Grok, and AI Overviews refresh sources differently, so stable visibility usually takes 4-6 weeks of monitoring and iteration.
Do I need to install anything on my site?
No. There is no plugin, app, or script. You paste one JSON-LD snippet in <head> and upload two short files (llms.txt and llms-full.txt) to the root of your domain. That is the entire deployment.
How it works
Review crawled URLs and basic technical checks in one list.
Filter by status or page type, search by URL or name, and surface the pages that need work without scrolling the whole list.
Click a row to open the audit view with section analysis, detected Schema, and the changes generated for that specific page.
Add a new page by URL, pick an existing crawl or scan a new one, and trigger a re-crawl from the detail view when content or Schema changes.
Why choose us
Bring crawl status, content findings and suggested changes into one review.
Review rendering, metadata and JSON-LD checks consistently across pages. Use them alongside the content audit to decide what to investigate.
Healthy, changes needed, queued, completed. Pick a status, fix the right pages first, and skip the noise.
Section analysis, detected Schema, and the exact change to ship. Copy it into your CMS, or trigger a re-crawl after deploy.
Run another crawl after a meaningful change and compare its findings with the previous version.
FAQ
On onboarding you can pick up to 20 pages from your project that join the Tracked URL list right away. After that, the Add page option lets you paste a URL, run a crawl on it, and then optimize it without leaving the project.
They check JavaScript rendering, metadata and JSON-LD presence. Investigate the findings in context: missing JSON-LD alone does not prevent a page from appearing in an AI answer.
Project overview groups pages into four statuses. Healthy means all three signals pass or were fixed. Changes needed flags pages with at least one failing signal. Start audit covers pages queued for a fresh audit. Completed means the audit has already been run. Use these chips to focus on the pages that need attention in the current sprint.
Yes. Open a row, then start a re-crawl from the detail view whenever content or Schema changes. The list refreshes once the new scan completes.
