- When Monitor maps key pages from your sitemap, pricing, product, comparison, alternatives and integration pages come before blog posts.
- Pages whose copy only appears after JavaScript runs are flagged, since most AI crawlers fetch raw HTML.
- With logs connected, you see the pages AI assistants such as ChatGPT fetch while answering buyers' questions.
- Pro is $99 a month for a single site after a 14-day trial with no card, and it includes 100 key pages.
- Monitor doesn't track prompts or brand mentions; it checks the access those answers depend on.
Who is this for?
It's for B2B SaaS marketing, SEO and content leads who are investing in AI search, whether they call it GEO, AEO or AI visibility, and who need the pages they optimize to stay reachable. In most SaaS companies marketing owns the site's content and pipeline targets while engineering owns the framework, the CDN and the deploy pipeline.
That split is where AI crawler access gets lost. Nobody on either side is watching for it, because nothing visibly breaks: the site works for people, so no ticket gets filed.
Which pages are most at risk?
The commercial pages, because they change most and matter most when a buyer asks an assistant to compare tools. Monitor's page discovery reflects that. When it reads your sitemap it ranks these first:
- Pricing and plans pages
- Product, platform, feature and solution pages
- Comparison, "vs" and alternatives pages
- Integration, customer, security and enterprise pages
Blog, news, tag and author pages go to the end of the list. You can replace it with your own list of up to 100 pages at any time, for example to match the pages in your GEO plan.
Why does AI crawler access break on SaaS sites?
Mostly through ordinary engineering work that was never meant to affect AI search.
- Client-side rendering. Pricing tables and feature grids pulled from an API in the browser leave the raw HTML nearly empty. Vercel's analysis of AI crawler traffic found the major AI crawlers it studied don't render JavaScript.
- Bot protection. A WAF or CDN rule added to stop scrapers or signup abuse starts challenging AI agents too.
- robots.txt edits. A rule meant to block training crawlers is written broadly enough to catch search agents, which our AI crawler list separates.
- Release regressions. A noindex from staging, a canonical pointing at the wrong URL, a redirect chain after a URL change, or structured data dropped from a template.
What breaks on a typical SaaS site?
Three examples of what Monitor catches on a SaaS site. They illustrate the alerts; they aren't customer stories.
The pricing page rebuild
Engineering moves pricing into a new component that fetches plans after the page loads. People see the same page. The raw HTML now holds a heading and a loading state. Monitor's next check of the pricing page flags it as needing JavaScript, a critical alert, and the fix goes into the same sprint instead of a quarter later.
The comparison page that redirects
A URL cleanup redirects your "vs" pages to a new folder, and one of them now lands on a generic hub page. Monitor raises a redirect warning showing where the page lands now and where it used to land, so you can fix the mapping before the old URL drops out of answers that quoted it.
The schema that disappeared
A CMS template update removes FAQPage and SoftwareApplication markup from your product pages. Monitor compares the JSON-LD types on each key page with the last check and lists the types that went missing, page by page.
Which features matter most for a SaaS marketing team?
| Feature | What it gives marketing |
|---|---|
| Daily key page checks | Status, noindex, redirects, canonical, raw-HTML word count and JSON-LD on up to 100 pages |
| JavaScript-only detection | A flag on any page that shows crawlers fewer than 120 words and looks like an app shell |
| robots.txt and firewall checks | 18 agents in robots.txt, 7 agents probed against your CDN, every day |
| Pages fetched for real users | With logs connected, the pages ChatGPT, Claude and Perplexity fetched while answering people |
| Weekly report | A Monday email summary to forward to leadership or engineering, starting when email delivery goes live |
The pages-fetched view is the closest thing to demand data in Monitor. A page that ChatGPT-User keeps fetching is a page buyers' questions lead to, which tells you where accuracy and freshness matter most. The log connector docs explain how those visits are counted and verified.
How do I set it up?
- Run the free scan on your domain to see your homepage's AI Access Score and any blocking issues.
- Start the trial and add your site. Check the key pages Monitor picked and add the pages your GEO plan targets.
- Route alerts to a channel shared with whoever owns the website stack, so the team that can fix a break sees it at the same time you do.
- Ask engineering for the log connector. It's a single snippet on most stacks; the integration guides cover each platform.
- Fix the baseline findings in severity order, starting with anything that caps your score at 60.
How do I report on it?
Use two numbers and one list. The AI Access Score shows whether access is healthy and is capped while a critical issue is open, so it can't look fine while something important is broken. The healthy key pages count shows how many of your monitored pages load and are indexable. The list is the week's alerts from the dashboard feed.
Pair that with whatever you use to measure AI visibility outcomes. When mentions or AI referrals drop, the alert history tells you quickly whether an access problem explains it, or whether to look at content and competitors instead. Pro is $99 a month for one site; see pricing for both plans.
Frequently asked questions
Why would a SaaS marketing team need to monitor AI crawlers?
Because the pages that win deals in AI answers, such as pricing, comparisons and integrations, are the pages most often rebuilt, moved behind JavaScript or caught by new firewall rules. Marketing usually owns the outcome but not the infrastructure, so a daily check is how marketing hears about a break before pipeline does.
Does AI Ranked Monitor show whether ChatGPT recommends our product?
No. Monitor doesn't run prompts or report brand mentions. It checks whether AI crawlers can get to your pages and parse them, and with logs connected, which pages AI assistants actually fetch. Use a prompt tracker for mentions; use Monitor to make sure nothing on your side stops those mentions from citing you.
Which pages should a SaaS company monitor?
Start with the pages a buyer's question would lead an assistant to: pricing, product and feature pages, comparison and alternatives pages, integrations, security and customer pages. Monitor puts these first when it reads your sitemap, and you can edit the list to match the pages your GEO work targets, up to 100.
Our docs live on a subdomain. Can Monitor check them?
Each monitored site is one host, with the www and bare versions treated as the same site. A docs subdomain such as docs.example.com counts as its own site, so it needs a second site slot. The Pro plan covers one site and the Agency plan covers 10.
Who should receive the alerts?
Usually both marketing and whoever owns the website stack. Each site posts its alerts to one Slack channel, so a channel shared by marketing and web engineering works well: marketing sees the business impact, engineering sees the agent, page and status code it needs to fix it.