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AI Visibility Scorecard
lariscan.com · Technology
Borderline visible. AI bots can crawl Laris, but the structured-data signals are thin - you are at real risk of being skipped when buyers ask ChatGPT, Claude, or Perplexity for a recommendation.
AI engines read this profile 1 times
Apple Intelligence
#1,339,653 of 2,624,033 in Technology for AI visibility
4.6
/10
AEO Score
from our crawl and measurement
Laris describes itself simply: "Laris helps small e-commerce merchants automate customer support across WhatsApp, Instagram, website chat, and other channels with AI that understands their store." When AI engines look at it, they find little to work with. It scores 4.6 out of 10.
Our crawl found structured data on the page (Organization, WebSite, SoftwareApplication), an llms.txt file for AI models and a sitemap.
Higher is better · 0-10
Structured Data
8
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
8
Clear headings and answer-style content.
Entity Clarity
6
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
4
Experience, Expertise, Authority, Trust markers.
Technical AEO
10
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
5
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
1
Inbound links from other sites.
Domain Trust
0
Little domain authority yet.
Entity Presence
0
Not in AI knowledge graphs yet.
News Mentions
0
No press coverage found yet.
Community
0
No community discussion yet.
0
No Reddit mentions found yet.
Your AEO score measures whether AI search engines - ChatGPT, Claude, Perplexity, Gemini - can actually read your site and cite it in answers. Roughly two-thirds of sites are invisible to them. At 4.6/10, Laris is crawlable but under-signaled - fixable, and the signals above are where to start.
Is this your brand?
The exact fixes for Laris
Which AI engines already crawl you
Weekly ChatGPT & Claude citation tracking
Tech buyers are the most research-intensive shoppers on the internet.
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Scored by Engagemii on August 9, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/lariscan
Cite this score: Engagemii (2026). "AEO Score for Laris." Retrieved from https://engagemii.com/aeo/brands/lariscan
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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