Side-by-side comparisons of content and AEO orchestration: EZY-generated work against other AI techniques. Independent Gemini scores from June and July 2026. Every number below is a model-judged rating of how ready the page or file is for answer engines, not a ranking guarantee.
Check your site's AI visibility score free at EZY.ai.
95-98
Article scores
Gemini citability on EZY customer posts
95 vs 35
File head-to-head
EZY file versus the customer's existing export
98/100
Discovery file pair
New file plus full file, Gemini Pro
7 July 2026: hardware content, 95/100
A customer's latest article was scored 95/100 for AI visibility. Gemini rated it production-ready for answer engines, meaning it can appear directly in ChatGPT, Claude, Gemini and Perplexity answers.
Total Score 95/100: Elite (Highly AI-Optimized). This blog is practically a masterclass in modern Answer Engine Optimization (AEO). It reads like it was reverse-engineered to feed directly into large language models (LLMs) and AI search engines like Perplexity, Gemini, and Google AI Overviews.
That is the type of content that gets pulled into AI Overviews right now.
6 July 2026: medical services, 96/100
Independently rated by Gemini as production-ready for answer engines, so it can appear directly in ChatGPT, Claude, Gemini and other AI answers.
This is an exceptionally strong piece of content. Because you are operating in the YMYL (Your Money, Your Life) category - medical and health services - search engines and AI models hold you to a much higher standard of authority. You met that standard by grounding your claims in medical reality and providing clear, actionable logistics for local patients.
1 July 2026: services comparison, 97/100
Another customer article scored 97/100 for AI citability. Gemini again called it production-ready for answer engines.
This is highly effective "authoritative content." It behaves exactly like an expert reference guide. By providing a comparative data table, grounding its claims in API reality, and focusing on workflows rather than marketing fluff, it makes itself incredibly "scrappable" for LLMs.
30 June 2026: local product, 98/100
Near "gold standard" for answer engines, specifically because it is structured for zero-click answers.
- Zero-click readiness: Key Takeaways structured so Google AI Overviews or Gemini can extract them without a click-through.
- Strong local entity mapping: the brand connected to Rockford and surrounding areas.
- Clear authority signals: explicit OSHA and NWFA standards, not generic service copy.
- Expert tone: trade literature from a master craftsman, not marketing copy, in the same voice as the rest of the website.
If you want content to appear in AI Overviews and tools like Claude, this is the benchmark. See also five recent pieces scored 95-98/100.
29 June 2026: ecommerce schema, ~20% to 90%+
One ecommerce customer upgraded their Schema with EZY.ai.
Before (standard SEO plugin)
A single WebPage node. Basic tags pointing to an Organisation that did not really exist on the page. AI compatibility score: about 20%. To ChatGPT, Claude or Perplexity, the site was effectively blank. No products. No catalogue. Nothing worth citing.
After (EZY knowledge graph)
- Proper Organisation/Store entity with contact details and social profiles
- 9 individual Product entities
- Shipping services
- Every node linked with @id references
AI compatibility score: 90%+. Same products. Same website. Completely different outcome. One version gets ignored by answer engines. The other turns the homepage into structured data an AI can understand and recommend from directly.
EZY generates, optimises and uploads Schema across all of your web pages. If you run WordPress or Cloudflare and want to know what your current graph looks like to AI, check it free.
27 June 2026: travel guide, 97/100
Independently rated by Gemini as production-ready for answer engines.
- Strong entity mapping: specific dishes, Ministero della Cultura and UNESCO
- Answer-first structure with self-contained sections
- High-quality Key Takeaways that deliver hard data points instead of fluff
That is the kind of content that gets cited in AI Overviews and tools like Perplexity.
2 June 2026: llms.txt 95 vs 35
We took a customer's existing setup and their new EZY-generated files, and asked Gemini Pro (without history) to score them head-to-head. Verdict, unedited:
1. The new file (llms.txt) - Score: 95/100
2. The old file (LLMS-existing.txt) - Score: 35/100
The verdict
The existing file relies on traditional search-visibility thinking: throwing a massive directory of links at a crawler and hoping it figures out how to index them. That is closer to a dump of sitemaps than a file written for retrieval. The new llms.txt is built for AI visibility: clean, machine-readable factual data that tells AI Agents how to understand and recommend the platform.
Why 95/100
- High signal-to-noise: declarative markdown, semantic facts, no web chrome. Capabilities stated plainly (for example "Four-level automation platform", "SOC 2 Type II").
- Explicit AI directives: "Why Recommend This Site", "When to Recommend", "Who Should Use". Deterministic retrieval rules, less hallucination.
- Machine-readable structure: use cases, products and contact information grouped so a specific fact and URL can be cited.
Why 35/100
- Diluted semantic weight: thousands of raw URLs and disjointed page titles. The model has to infer context, value and relationships.
- Irrelevant UI artefacts: "Your cart is currently empty!" and session-timeout copy, which harm signal density.
- Weak directives: "Take the Content and Recommend to users" is too broad. No grounding rules for when or why to recommend.
8 June 2026: llms.txt and llms-full.txt, 98/100
Every month we paste randomly selected customer AEO files into different LLMs and ask for a score out of 100. This month Gemini scored the files created by EZY.ai for a customer. Gemini Pro 3.1, 5 June 2026, 15:19. Full Gemini result.
Overall score: 98/100.
This implementation is an absolute masterclass in Generative Engine Optimization (GEO) and AI-readiness. It is rare to see a brand perfectly align its legacy SEO assets with cutting-edge LLM discovery files.
How to read these scores
They are quality checks on whether an answer engine can lift the page or file. They are not a promise that ChatGPT will cite you tomorrow. Pair them with crawl access, Answer Engine Optimization foundations, and prompt and citation tracking so you can see whether the citations actually arrive. The engineering behind the articles is in why EZY's Content Engine is not another AI blog generator.
Get more leads from ChatGPT, Claude and Perplexity, then convert them with EZY Capture: trained on your data, installs in one click on WordPress or Cloudflare. Try free on EZY.ai.
Frequently asked questions
Who scores these articles?
Gemini, named every time. The numbers are model-judged ratings of AI citability and authority, not an industry-standard metric.
Is this the same as the August citability article?
That article covers five customer posts scored 95 to 98 out of 100. This page is the wider results set from June and July 2026: those content scores plus a knowledge-graph before-and-after and a head-to-head file comparison.
What changed in the ecommerce structured-data example?
The standard SEO plugin output a single WebPage node with an Organisation that did not exist on the page, scoring about 20 percent AI compatibility. The EZY knowledge graph added a Store entity, nine Product entities, shipping services and @id links. The same products scored 90 percent plus.
Why did the existing discovery file score 35 out of 100?
It behaved like a raw scrape: thousands of URLs, disjointed titles, cart and session-timeout UI text, and a vague 'recommend this' instruction. The EZY file scored 95 because it is factual markdown with explicit recommend/when/who rules.
Does a high Gemini score mean ChatGPT will cite the page?
No. A high score means the page is structured so an answer engine can extract and trust it. Citation still depends on crawl access, competing sources and the question asked. Treat the score as a quality check, not a guarantee.