Look at the whole business
A strong technical score is one part of AEO. Search fundamentals, useful content, and independent sources also matter. Our 16 checks cover your site; full projects address all four areas.
How We Check Your Site
See how we score your site.
Our 16 checks score the technical parts of AEO on your site. Each check and its scoring method are public. A full AEO plan also needs strong SEO, useful content, and independent sources that support your claims. We build on search and structured-data standards, then update the checks as AI tools change.
Our Approach
A strong technical score is one part of AEO. Search fundamentals, useful content, and independent sources also matter. Our 16 checks cover your site; full projects address all four areas.
Our method is public. Buyers and developers can see what we score and why.
Clear pages, useful content, and credible sources help both people and search tools. We add checks for structured data, AI-readable files, and consistent business details. Google's SEO Starter Guide explains many of these foundations.
Our checks draw on SEO and structured-data standards. We compare them with Google's guidance and results from AI tools, then adjust the scoring and add checks as needed.
We focus on structured data, plain-text files, and clear answers that AI tools can read.
AI uses sources beyond your site, including partner pages, business listings, news, and backlinks. These can support your claims. Our 16 checks do not score those sources; we review them separately in full projects.
These checks help in places like NYC, where many brands want to reach the same buyers.
What We Score
These 16 checks cover your site's technical foundations, with the most weight given to JSON-LD structured data. Our guide to schema markup explains what to add. For local work, we also check local details. Full projects also cover search basics, useful content, and links from other sites. Read how each tool finds and uses sources in our guide to ChatGPT, Claude, Perplexity, Gemini, and Copilot. These steps go beyond your site. Both client stories show these checks used on a live site.
Checks JSON-LD structured data, including its types and required details.
Checks word count, headings, paragraphs, and lists.
Checks llms.txt, robots.txt, the sitemap, and Markdown copies of pages.
Checks who wrote the page, their skills, reviews, and links that help build trust.
Checks visible FAQ answers and their FAQPage markup.
Checks links to useful sources that back up page claims.
Checks the required fields and relationships for each schema type.
Checks JSON-LD for errors, invalid types, and duplicate entities.
Checks that business details match in the page text and structured data.
Checks dates in page content, structured data, headers, and sitemaps.
Checks that tools can read the page's main text apart from menus and buttons.
Checks for short text that tells readers what a term means.
Checks the rules in robots.txt for AI bots and use of your content.
Checks that people, places, and brands have clear names and details.
Checks for one main heading, image text, a search description, and a main page URL.
Checks rules that let Google list your page and show bits of it in AI search.
Google's Guidance
Google's 2026 AI Features and Your Website guide helps shape our checks. We use it with what we see across other AI tools. Advice for Google's own tools may not fit every tool.
Read Google's AI Optimization Guide
Google's guide speaks for Google Search and Gemini. ChatGPT, Claude, Perplexity, and Copilot find and use sources in their own ways. We check how each one works so our work can help across them.
Google does not advise using llms.txt. We have seen signs that other AI bots may use it and llms-full.txt. The files cost little to publish. We keep them as an extra way to read the site, but their value is not proven.
We compare Google's advice with what we see in other AI tools. Shared signs include clear structured data, matching facts, useful content, named authors, FAQs, trusted links, fresh dates, and bot access. We use more than one source to shape our checks.
How We Apply It
The 16 checks show what needs work. The Canonry platform keeps the scores and tracks AI answers each week. It links each fix to what we can see afterward. We track ChatGPT, Claude, Gemini, Perplexity, and Copilot so your team can review the work over time.