How to use Visibility Audit Co. effectively
How to use Visibility Audit Co.
Visibility Audit Co. is built around a simple sequence: you choose the level of audit you need, the service checks how AI systems present your SaaS category, and you get a written set of findings with prioritized fixes. The core question it answers is whether ChatGPT, Perplexity, and Google AI Overviews name your product when a buyer asks for something in your category, and what to change when they do not.
For a quick read on where you stand, the $49 Snapshot is the smallest entry point. You enter your website at checkout, and the service runs 10 buyer-intent prompts for your category across ChatGPT, Perplexity, and Google AI Overviews. It also scans your site for AI readiness signals such as crawler access, llms.txt, schema, sitemap, and crawlable text. The output is a PDF delivered within 48 hours with the main findings and the top five fixes.
If you need deeper coverage, the full AI Visibility Audit expands the prompt set and the competitive context. It uses 40 prompts across five engines, run twice, and compares your visibility against three competitors you choose. The deliverables include share of voice, a map of the sources AI cites, a full technical scan, ranked fixes, and a recorded walkthrough. That makes the audit more useful when you need both the answer-engine side and the site-readiness side in one report.
The service is designed to work from public information only. That matters because the audit does not require access to your analytics or to your site backend for the standard report. The public-side checks focus on what can be observed externally: whether robots.txt allows crawlers such as GPTBot or ClaudeBot, whether machine-readable facts like schema and llms.txt are present, and which third-party pages AI systems cite when they answer category prompts. If you later buy the done-for-you fixes, access would only be needed for that implementation work.
Monthly Tracking is the ongoing option when you want to see whether visibility changes over time. It re-runs prompts each month and reports what changed, while adding two new pages a month. That makes it a fit for teams that are already publishing and want a recurring view of whether AI answers are starting to name the brand differently.
The practical choice is mostly about depth and speed. The Snapshot is for a quick baseline and an ordered list of the first fixes to make. The full audit is for a broader review across prompts, engines, competitors, and technical factors. Monthly Tracking is for watching whether the category picture shifts after you publish or update pages.