What Does an AI SEO Tool Actually Check and Fix?

An AI SEO tool runs one scan that covers five areas at once: on-page SEO, performance (Core Web Vitals), accessibility, security, and AI readiness. Repolog is an example: you enter a homepage and get a ranked report in about a minute, with no signup, and every issue comes with its fix. This is worth running if you want a prioritized to-do list rather than raw data — and it's most useful if you also care whether AI assistants like ChatGPT or Perplexity can read and cite your pages, which classic SEO audits don't check.

What separates an AI SEO tool from a classic SEO audit

A classic audit mostly looks at crawlability, meta tags, links, and content. An AI SEO tool keeps those checks but adds three things a traditional crawler usually skips:

• Real browser rendering. The page is loaded in a headless browser, so performance and accessibility are measured on what a visitor actually gets, not on raw HTML.
• AI search readiness. It checks whether AI crawlers are allowed in and whether your content is structured in a way they can quote.
• Fix-level output. Instead of flagging "missing meta description," it pairs each finding with the specific change to make.

Repolog's scan runs 60+ checks against a single live browser load, which is why one report can span SEO, speed, accessibility, security, and AI readiness without you running five separate tools.

The five check groups, and what each one produces

The security checks are read-only, so running a scan doesn't modify your site.

Which checks matter most for AI search visibility

If your goal is being cited by AI assistants rather than only ranking in Google, these are the ones to look at first:

1. robots.txt access for AI crawlers. If GPTBot, ClaudeBot, PerplexityBot, or Google-Extended are blocked, your content can't be retrieved no matter how good it is. This is the single most common silent blocker.
2. JSON-LD structured data. Machine-readable facts about your page and organization make it easier for a model to extract and attribute claims.
3. sitemap.xml and llms.txt. The sitemap helps discovery; llms.txt is an emerging convention for telling language models what your site contains.
4. Semantic HTML landmarks and heading structure. Clean <main>, <article>, and heading order give parsers an unambiguous content outline.
5. Author and publication metadata. Attribution signals help a model decide your page is a citable source.
6. FAQ patterns. Question-and-answer formatting maps directly onto how people prompt AI tools.

Accessibility and AI readiness overlap more than they look: alt text, landmarks, and heading structure serve screen readers and language models for the same reason — both need the page's meaning spelled out in markup.

How to run a first scan without installing anything

1. Enter your homepage. Go to the free scan at https://repolog.io/#free-scan and submit your domain. No signup, no code changes, no SDK. The free tier allows one homepage per day.
2. Wait for the report. A real headless browser loads the page and the checks run against it. A full report typically arrives in about a minute.
3. Read the ranked list, not the raw scores. The value is the ordering — issues are ranked so you know what to fix first.
4. Fix the top item, then re-scan. Because the scan is repeatable, the re-scan is your verification step: the same check should now pass.

If you manage several sites, you can import them instead of entering domains one at a time.

Turning findings into action

Work in this order, because the categories have different leverage:

• Blockers first. A blocked AI crawler or a leaked .env file outranks a missing meta description — one prevents visibility entirely, the other costs you a snippet.
• Then Core Web Vitals. These are scored against Google's thresholds, so a failing LCP or CLS has a direct ranking rationale.
• Then on-page SEO. Titles, descriptions, heading hierarchy, alt coverage, and canonicals are usually the fastest fixes with the clearest payoff.
• Then accessibility. Fixing contrast, labels, and landmarks is both a compliance and a machine-readability win.
• Then AI readiness polish. Structured data, llms.txt, and FAQ patterns are refinements once the fundamentals pass.

Re-scan after each batch rather than after every single edit — it keeps the feedback loop meaningful.

Where keyword research and Search Console fit

Scanning tells you what's broken on pages you already have. Keyword research tells you which pages you should have. Repolog includes search volume, difficulty, and CPC by country market, and lets you track keywords, map each one to the page that should rank for it, and then grade that page against its keyword on the next scan.

The Google Search Console integration adds a diagnostic layer: it surfaces queries you already get impressions for, and flags keywords that are cannibalized across multiple pages — meaning two or more of your pages compete for the same term and split the signal.

Research runs are pooled across the workspace: Starter includes 20 per month, Pro includes 100.

What to check before you commit

• Free vs. paid. The homepage scan is free with no signup, limited to one homepage per day. The paid tier is a 7-day free trial with $0 due today, and it's what unlocks multi-site imports, keyword tracking, and Search Console data.
• What it won't do. The scan is read-only — it identifies fixes, it doesn't apply them. You or your developer still make the changes.
• Scope. A scan targets a homepage by default; broader coverage comes from importing the sites you manage.

If you only want a quick read on whether your site is technically sound, the free scan answers that in a minute. If you're actively trying to rank and be cited, the keyword mapping and Search Console cannibalization flags are the parts that turn a one-off audit into an ongoing process.