AI Visibility Scorecard
ddakit.com · Technology
Borderline visible. AI bots can crawl ddakit, 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.
Monitoring for AI engine activity
In the Engagemii AEO index
#1,460,283 of 2,705,581 in Technology for AI visibility
5
AEO Visibility
iBorderline · 4.6/10
65
Muse Index Score
iAI agent readiness
Transactable · 65/100
4
AI Adoption
iBasic · 4/100
from our crawl and measurement
"Bases that catch AI where it usually breaks. Same mistake twice and it halts on its own. When context drops, one command brings you back." That is how ddakit introduces itself. 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 (SoftwareApplication, Organization, WebSite), an llms.txt file for AI models and a readable heading structure. It is missing a sitemap.
Strong · Good · Fair · Weak
Structured Data
Fair
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Good
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Weak
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
Good
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
Domain Authority
Weak
Little domain authority yet.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Weak
No community discussion yet.
Social Mentions
Weak
No social discussion 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, ddakit is crawlable but under-signaled - fixable, and the signals above are where to start.
How is this different from just asking AI?
Section titled “How is this different from just asking AI?” The start looks the same. Ask AI and the code, the prose, the video all come out plausible. The difference shows in whether the result survives to production, to publish, to filing. Gates live in code, not in a doc Other templates write “do it this way” in a README. ddakit’s gates actually stop the build, the publish, the commit.
Is this your brand?
The exact fixes for ddakit
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The search landscape has fundamentally shifted. While Google still dominates, millions of users now ask questions to ChatGPT, Gemini, and Claude instead of typing into a search bar.
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Scored by Engagemii on September 30, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/ddakit
Cite this score: Engagemii (2026). "AEO Score for ddakit." Retrieved from https://engagemii.com/aeo/brands/ddakit
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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