VisiScan AI Visibility: Free Scan and Report
Quick answer: Enter a domain in VisiScan, run the free scan, and read the readiness and visibility scores. The 22 July 2026 recording also opened sitemap, robots.txt and machine-readable file checks, then showed a paid full report generated in Codex. VisiScan is Mike Holp's own product.
VisiScan is Mike Holp's own product. Product site: https://www.visiscan.app. This page is the VisiScan scan and report walkthrough. It is not the Trakkr and Codex visibility workflow and not the Rank Prompt scan and MCP walkthrough.
The demo tests how a site shows up in AI answer engines. The four engines in this scan are ChatGPT, Claude, Perplexity and Gemini. Scores, file checks and the $79 full-report fee below are what the recording showed on 22 July 2026.
What this recording shows
Mike opens VisiScan, runs a free site audit, and reads where the domain appears in those four answer engines. He then walks example reports, including a zero-visibility domain and a Hostinger scan, and finishes with a paid PDF generated from Codex. For GrokBot audit bots that still need a review step, see GrokBot for SEO: Audit Bots, Data and Reviewed Fixes. For DataForSEO tools in Claude Code, see DataForSEO MCP: build an AI SEO agent in Claude Code.
1. Run a free domain scan
Enter a domain and run the scan. In the recording he types TubeAnalytics. He says that scan is free. The full report, on 22 July 2026, was a $79 one-time fee. Treat that price as what the recording showed that day, not as a later site price. He says the paid report is meant to list what you need to fix so the site can show up in ChatGPT, Claude, Perplexity and Gemini.
While that paid run generates in Codex, he stays in the VisiScan UI and reads the live scan output. The recording does not speak a Codex prompt, so this page does not invent one.
2. Read readiness and visibility scores
For his own site the readiness score in this take is 56 out of 100. He says that needs work. Visibility is shown across the tested LLMs, with items that are already fine and items to fix. He describes the data on screen as accurate and up to date for that session.
One example domain, servemate.co.uk, shows 0% visibility, so it is not appearing in the answer engines this scan tests. Readiness on that report still looks relatively good. Suggested fixes on camera include schema, adding a telephone link, and Core Web Vitals, which he names as important for SEO and AEO. The local business JSON-LD on that site is flagged as not updated.
Hostinger is the other example. He calls it one of the largest hosting and domain providers, then says its visibility score still needs work. Those two reports are illustrations from 22 July 2026, not a ranking of those companies today.
3. How the audit checks LLMs and signals
He says you can copy findings into Codex or Claude Code and ask those tools to fix them, or hire someone to do that work. In his description, the agent reads the site, works out the market, then interrogates ChatGPT, Claude, Perplexity and Gemini with real buyer questions localized to where the business operates.
The same overview says the audit covers 30-plus signals, including entity presence in Wikidata, Google Knowledge Graph, branded mentions, third-party citations, schema markup, AI crawler access, content and technical health. An agent-readiness ladder is on screen as well. On the Hostinger report he points at Core Web Vitals, branded web mentions and schema as items still to fix. For a self-hosted SEO stack with a separate data bill, see OpenSEO review: setup, data costs and practical limits.
4. Check sitemap, robots.txt and llms.txt
The scan looks for machine-readable files. In the recording he says LMS.text and AI.text. The chapters on the video label that section as llms.txt and AI crawler access. On the example in front of him, crawlers are allowed, which he treats as a good sign. He also shows an agent-readiness ladder and Core Web Vitals on Hostinger.
The audit finds Hostinger's sitemap and opens it. It also pulls his own sitemap. Schema data is listed as available. robots.txt is found for his site and, in this take, gives access to a lot of the AI crawlers. He wants those files accurate and up to date. The Tube Analytics scan also finds machine-readable pricing on the pricing page, and HTTPS enabled.
5. Review the recorded full report
He says you can paste the technical findings into Codex and ask it to fix them, then rerun the report to see whether the rating goes up. That later rerun is not in this video. Near the end, Codex finishes a full-tier run: 12 questions, 30 signal results and no worker errors, then one error is added and a PDF is generated. That job had been running about 17 minutes when he checked it.
The paid full report is what you got for $79 on 22 July 2026 in this recording. He opens the PDF on camera and says he is happy with what he has built. The video does not measure a later visibility change after fixes. A different build, tracking AI visibility as a SaaS, is AI Visibility Tracker SaaS build.
Watch the walkthrough
FAQ
Who owns VisiScan?
Mike Holp. VisiScan is his own product. This page is a scan and report walkthrough, not a Trakkr or Rank Prompt guide.
What did the full report cost in the recording?
On 22 July 2026 the recording said the full report was a $79 one-time fee. That is what that date showed, not a later site price.
Which answer engines did the scan test?
ChatGPT, Claude, Perplexity and Gemini. Those were the four engines in the 22 July 2026 scan.
What files did the audit open on camera?
A sitemap, robots.txt, and machine-readable files spoken as LMS.text and AI.text. The chapters label that check as llms.txt and AI crawler access. The Tube Analytics scan also found machine-readable pricing and HTTPS enabled.
Sources
- Video: Is Your Site Visible To AI Answer Engines? Here's How To Find Out! (22 July 2026)
- VisiScan: https://www.visiscan.app
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