AI Search Readiness Score Review: What It Checks, Costs, and Delivers

I'm Alexey Tolmachev. I built getaisearchscore.com as a solo founder. The tool runs 26 automated checks on a website and produces a score from 0 to 100 that measures how ready the site is for citation by AI search engines like ChatGPT, Perplexity, and Google AI Overviews.

I've also run an empirical study on whether that score actually predicts citations. The results were not what I hoped for. I'll get to that.

What It Actually Does

You enter a URL, your email, and your business niche. The system crawls your page with Playwright (simulating how AI bots see it, including JavaScript rendering), runs 26 checks across four dimensions, and returns a scored report in about two minutes.

The four dimensions are Machine Readability (25%), Extractability (30%), Trust & Entity (25%), and Organic Reach (20%). Each check produces a specific finding with fix guidance, not vague advice.

No account creation required. No credit card for the free tier. The free scan gives you 9 core checks and a real score. Paid plans ($19 and $49 per scan) add 13 more checks, 4 LLM-based evaluations, citation monitoring via Perplexity, and a PDF report.

What It Does Well

The free tier gives genuine value. 9 checks, a real 0–100 score, four-dimension breakdown. Not a teaser that says "pay to see results." You can start fixing problems immediately based on the free report alone.

Specific, actionable findings. If your JSON-LD is missing a price field, the tool tells you which field and shows an example. If your page renders blank without JavaScript, you see that. Each failing check has concrete fix guidance attached.

JavaScript rendering detection. The Playwright-based crawl catches a real and common problem: sites that serve blank pages to bots that don't execute JavaScript. Many React and SPA sites have this issue and don't know it. This check alone has been the most practically useful finding for users.

Fast. Under two minutes from URL submission to scored results. No setup, no configuration, no onboarding calls.

Structured data validation. The tool checks not just whether JSON-LD exists, but whether it contains the fields that AI engines actually use for citation: prices, GTINs, FAQs, business identity. This is more specific than generic schema validators.

The Hard Truth: Score Does Not Predict Citations

This is the most important thing I can tell you about this tool. I built a scoring model based on reasonable assumptions about what AI engines value. I then tested those assumptions empirically. The data said: no correlation.

I tried several follow-up theories. Threshold effects (maybe the score only matters above a certain level) — null. Necessary condition analysis (maybe a high score is required but not sufficient) — null. Within-topic analysis (maybe the score matters when comparing sites in the same niche) — still null (r = -0.010).

The one real signal I found: content relevance gates citation. Sites were cited 5.17% of the time for same-topic queries vs 0.08% for cross-topic queries — a 62x difference. In other words, having content that matches what someone is asking about matters enormously. Having clean structured data and good meta tags matters far less than I assumed.

I'm publishing this because I think founders should share null results, not bury them. The tool still has utility (see below), but I cannot honestly claim the score predicts AI citations.

So What Is the Score Good For?

The score measures technical readiness — whether your site has the structural elements that make AI citation mechanically possible. Think of it as a pre-flight checklist, not a guarantee of flight.

If your robots.txt blocks AI crawlers, the tool catches that. If your structured data is malformed, you'll know. If your pages render blank without JavaScript, you'll see it. These are real problems with real fixes, and finding them is genuinely useful.

But fixing all 26 checks won't make AI engines cite you if your content isn't relevant to what people are asking. Technical readiness is necessary infrastructure, not a citation strategy.

Real Weaknesses

The score doesn't predict citations. I covered this above. The scoring weights were designed from first principles, not derived from empirical data. That's a fundamental limitation.

One-time scan, not monitoring. You get a snapshot. There's no dashboard that tracks your score over time, alerts you when something breaks, or shows trends. You can rescan manually, but that's it.

Limited page coverage. Free scans cover 5 pages, paid scans cover 50. If you have thousands of product pages, you're seeing a sample, not a complete picture.

No content strategy guidance. The tool tells you what's structurally broken. It doesn't tell you what content to create, which topics to cover, or how to become more relevant to the queries people actually ask AI engines. Given that content relevance is the real driver (per my research), this is a significant gap.

No access behind login walls. The crawler can't authenticate. Paywalled or gated content can't be scanned.

Solo product. I'm the only person building and maintaining this. That means slower feature development and a bus factor of one.

Who Should Use It

• You suspect your site has technical issues that prevent AI engines from reading it (JavaScript rendering, blocked crawlers, missing structured data)
• You want a fast, specific diagnostic rather than a multi-week manual audit
• You need a baseline report to share with developers or stakeholders
• You're an SEO professional who wants a quick AI-readiness check as part of a broader audit

Who Should Not Use It

• You think a high score will guarantee AI citations (it won't — content relevance matters more)
• You need ongoing monitoring with alerts and trend dashboards
• You have an enterprise site with 10,000+ pages that needs a full crawl
• You're looking for content strategy or keyword guidance

Pricing

Per-scan pricing, not subscription. No recurring charges, no annual contracts.

The Bottom Line

This tool is good at finding technical problems that prevent AI engines from reading your site. It is fast, specific, and the free tier is genuinely useful.

It is not good at predicting whether AI engines will actually cite you. My own research showed zero correlation between the score and citation rates. Content relevance — whether your site covers what people are asking about — matters far more than any technical signal the tool measures.

Use it as a technical diagnostic. Don't use it as a crystal ball.

If you want to try it, the free scan is at getaisearchscore.com. You'll have results in two minutes and you can judge for yourself whether the findings are useful for your site.