I’ve been digging into “AI visibility” lately — basically whether tools like ChatGPT, Claude, Perplexity, etc. can actually understand and recommend a SaaS company.
Not SEO in the classic sense.
More like: if someone asks an AI tool “what’s the best software for [use case]?”, does your site give the AI enough clear information to confidently include you?
I ran 50 SaaS sites through an AI-readiness scanner and kept seeing the same issues.
- Crawler access was messy
Some sites were blocking or limiting AI crawlers without realizing the downstream impact.
The site works fine for humans, Google can often still index it, but AI systems may not be able to access or interpret key pages properly.
- The homepage copy was way too vague
Lots of “streamline workflows,” “empower teams,” “scale faster,” “AI-powered platform” type copy.
That might pass the vibe check for humans, but it’s not great for machines.
AI systems need clear context:
What category are you in?
Who exactly is it for?
What job does it do?
What tools do you replace?
What are the main use cases?
What makes you different?
If that isn’t obvious, the AI will either summarize you badly or ignore you.
- Weak structured data / missing machine-readable context
A lot of sites had missing schema, vague pricing pages, thin docs, unclear product pages, no comparison pages, or no simple summary of what the company actually does.
I find that most SaaS websites are optimized for human visitors, but not for AI agents.
That’s probably going to matter more as buyers start using AI tools for product discovery and comparison.
I used a tool to run the checks, DM if you want it. Not sue if I will get banned if I add it :)
It gives a quick score and shows issues around AI crawlability, schema, pricing clarity, sitemaps, and whether AI tools can understand/recommend the business.
Feels like “AI readiness” might become a technical SEO checklist item pretty soon.
Is anyone here actively working on this yet, or are you waiting until there’s clearer evidence it drives pipeline?
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