Your AEO Assessment: ulaval.ca
Overall AEO Maturity score: 3 out of 5
Your top 3 priorities
Here's where ulaval.ca can make the fastest gains in AEO visibility, accuracy, and traffic. If you only did three things, do these:
Simplify complex content to improve readability, aiming for a Flesch Reading Ease score above 60.
Implement structured data markup across all pages to enhance search engine understanding and visibility.
Ensure all pages are mobile-friendly and pass Google's Mobile-Friendly Test to improve user experience on mobile devices.
What your AEO Assessment covers
Your personalized AEO assessment measures how well ulaval.ca is positioned for AI-driven discovery. It evaluates your site’s performance across four key categories—Content, Technical, Authority, and Measurement—to show how effectively AI systems can understand, cite, and recommend your brand.
Content
Content: Build the source AI trusts
We evaluated how your content performs across freshness, structure, depth, and clarity to see how well it helps AI understand what you do and why you matter.
Content Category Score
Université Laval's website effectively addresses user questions with semantically rich content but could improve readability and content clustering to enhance user engagement and comprehension.
Enhance content readability
Simplify complex content to improve readability, aiming for a Flesch Reading Ease score above 60.
Create content clusters
Develop comprehensive content clusters that address related user questions to improve semantic richness.
Regular content updates
Ensure all content is regularly updated, with visible indicators of freshness, to maintain relevance.
Question Coverage Percentage
Coverage of the 100 most likely questions your target audience will ask related to the topics visible on your site.
Technical
Technical: Structure wins
We evaluated how well your site uses schema, other metadata, accessibility, and speed, and more to help LLMs understand the structure and meaning of your content and establish one part of your authority in AI-driven search.
Technical Category Score
The Université Laval website demonstrates a moderate level of technical maturity, with a functional structure and basic SEO practices in place. However, improvements in structured data implementation, mobile usability, and page load optimization are necessary to advance to a higher maturity level.
Implement structured data markup
Implement structured data markup across all pages to enhance search engine understanding and visibility.
Enhance mobile-friendliness
Ensure all pages are mobile-friendly and pass Google's Mobile-Friendly Test to improve user experience on mobile devices.
Optimize page load times
Optimize page load times by compressing images and leveraging browser caching to improve site performance.
Schema Coverage Percentage
Share of pages with schema.org metadata for improved LLM and search engine understanding.
Authority
Authority: Earn trust, everywhere
We evaluated how your site establishes authority by looking at how and how frequently others talk about you, the associated sentiment, and more.
Authority Category Score
Université Laval demonstrates strong authority with high coverage and positive sentiment in industry publications, accurate third-party entries, and content attributed to experts. To advance, enhancing digital PR, developing thought leadership reports, and increasing visual storytelling are recommended.
Enhance digital PR efforts
Enhance proactive digital PR efforts to increase authoritative mentions in industry publications.
Develop thought leadership reports
Develop and promote annual thought leadership reports to establish authority in key academic areas.
Increase visual storytelling
Increase engagement in visual storytelling through interactive content and multimedia presentations.
Authority Coverage Percentage
Percent of top 50 industry sites that mention you.
Measurement
Measurement: From rankings to representation
This score reflects how well you monitor your visibility across AI systems; from tracking brand mentions and citations to understanding sentiment and share of voice.
Measurement Category Score
Université Laval employs Google Analytics for web analytics but lacks public evidence of advanced measurement practices like systematic LLM traffic tracking or conversion rate analysis for LLM-sourced traffic.
Implement LLM traffic and sentiment tracking
If not already in place (we cannot tell from the outside), begin systematic tracking of LLM traffic, mentions, and sentiment in relevant answers in answer engines, with regular metric reviews.
Adopt advanced mention tracking tools
If not already in place (we cannot tell from the outside), utilize tools like Scrunch, Profound, SEMrush, or Ahrefs for daily or weekly mention tracking, including inclusion, citation, and prominence in AI outputs.
Monitor conversion rates from LLM traffic
If not already in place (we cannot tell from the outside), systematically track conversion rates for LLM-sourced and non-LLM-sourced traffic, tying this data to revenue where possible.
Measurement Coverage
Presence of externally visible signs on your website that you are using measurement tools.