We Analyzed the AI Readiness of 100 Top SaaS Websites (Data + Open Source Code)
Executive Summary: We scored 90 top SaaS domains (10 of the original 100 were bot-blocked or unreachable) with RankFixer's open-source engine. The result? an average score of 62.7/100. Most are doing the fundamentals well—the remaining gap is structured schema markup.
We're open-sourcing the entire dataset, the methodology, and the analysis code.
The Data at a Glance
| Metric | Value |
|---|---|
| Average AI Readiness Score | 62.7/100 |
| Median Score | 63/100 |
| Sites Scoring Below 40 | 2.2% |
| Sites Scoring Above 80 | 6.7% |
| Highest Score | 91 (Teamwork.com) |
| Lowest Score | 25 (Ramp) |
Score Distribution:
- 81-100 (Excellent): 6 sites — 6.7%
- 61-80 (Good): 45 sites — 50%
- 41-60 (Fair): 37 sites — 41.1%
- 21-40 (Poor): 2 sites — 2.2%
- 0-20 (Critical): 0 sites — 0%
What is "AI Readiness"? (The Methodology)
Traditional SEO measures keywords and backlinks. AI Readiness — Generative Engine Optimization (GEO) — measures how easily a Large Language Model can extract, comprehend, and cite your website as a factual source.
Using the open-source RankFixer Core engine, we scored each of the 100 SaaS websites on 6 measured signals:
| Signal | Weight | What We Measured |
|---|---|---|
| Schema Markup | 25% | JSON-LD blocks and @type markers (Organization, FAQPage, WebSite, Product, Article, HowTo) |
| Entity Signals | 20% | @id references, sameAs links, brand markup, Open Graph / Twitter Card tags |
| Content Depth | 20% | Word count, FAQ-style headings, lists/tables, meta description |
| Structure | 15% | Heading hierarchy, nav/main landmarks, microdata markers |
| Crawlability | 10% | Homepage HTTP 200 + robots.txt presence |
| llms.txt | 10% | Presence of an llms.txt file at the domain root |
3 Findings
1. Schema Markup Is the Biggest Gap
The average schema score is just 26.6/100 — the lowest of all six signals. Most SaaS homepages ship little or no structured schema, even as content, structure, and crawlability all score 80+.
The Fix: Add JSON-LD Organization + WebSite schema (and FAQPage where relevant) to your homepage.
2. llms.txt Has Gone Mainstream
72% of analyzed domains now publish an llms.txt file — a lightweight map for AI crawlers. Adoption among top SaaS has clearly tipped; the 28% that still lack one are falling behind.
3. The Floor Has Risen
The median score is 63/100, and no analyzed domain scored below 21. The weakest sites score "Poor" (21–40), not "Critical" (0–20). The remaining gap is structured data and entity linking.
The Top 5 Performers
| Rank | Domain | Score | Why They Win |
|---|---|---|---|
| 1 | teamwork.com | 91 | Excellent |
| 2 | hubspot.com | 83 | Excellent |
| 3 | woocommerce.com | 83 | Excellent |
| 4 | heroku.com | 83 | Excellent |
| 5 | zapier.com | 81 | Excellent |
What the Top 5 Have in Common:
- Strong content depth and structure
- A published llms.txt file
How to Improve Your Score
The 5-Minute Fix
- Unblock AI crawlers in robots.txt
- Create
llms.txtat your domain root - Update your copyright year
The 1-Hour Fix
- Add Organization + WebSite schema
- Add FAQPage schema to top 5 pages
- Fix your largest Core Web Vital offender
Get Your Free AI Visibility Scan →
Download the Open-Source Dataset
- 📊 View top_100_saas_scores.json
- 📋 Read the Full Benchmark Report
- 🔬 Explore the Jupyter Notebook
- 🛠️ Fork rankfixer-core
📚 Cite This Research
Rankfixer. (2026). Top 100 SaaS LLM Readiness Scores. Retrieved from https://github.com/rankfixer-ai/rankfixer-core
Dataset available under MIT license.
Last Updated: August 13, 2026 · Data Source: RankFixer Core v1.0.0