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AI Visibility Scorecard
Open Source AI
theopensource.ai · Technology
Borderline visible. AI bots can crawl Open Source AI, 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 7 times
ChatGPT · Claude · Apple Intelligence · Meta AI
#858,104 of 2,658,720 in Technology for AI visibility
5
AEO Visibility
iBorderline · 5/10
95
Muse Index Score
iAI agent readiness
Transactable · 95/100
11
AI Adoption
iBasic · 11/100
About Open Source AI
from our crawl and measurement
"The ultimate platform for discovering, evaluating, and comparing 100+ open-source AI models including LLaMA 3, Mixtral, Qwen, Gemma. Features KYI™ benchmarking and unified ONE API." That is how Open Source AI introduces itself. Its AI visibility score is 5.0 out of 10: the engines can find it, but they do not have much to hold on to.
On its own pages the site does well on structured data describing the business, a clear heading structure, crawler access and the files AI engines look for and sitemaps and entity links AI can follow. It is passable on a partly stated business identity. What holds it back is credibility markers like credentials or reviews.
Off the page there is only faint evidence that only a handful of sites link to it and the domain is only lightly established. Beyond that, AI engines do not yet recognise it as a distinct business, there is no press coverage to draw on, nobody is discussing it where AI engines look and it does not come up on Reddit. None of that can be fixed on the page: it has to be earned.
AI crawlers have visited 6 times in our tracking, including GPTBot (ChatGPT), ClaudeBot (Anthropic) and Applebot (Siri). The site links to no social profiles, so there is nothing tying the brand to a wider presence.
The 6 signals AI reads
Higher is better · 0-10
Structured Data
9
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
10
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
2
Experience, Expertise, Authority, Trust markers.
Technical AEO
7
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
8
Sitemaps and entity links AI can follow.
Off-page authority
How the web signals your brand to AI
Backlinks
1
Inbound links from other sites.
Domain Authority
1
Established authority for your domain.
Reference Presence
0
Not in AI knowledge graphs yet.
News & Press
0
No press coverage found yet.
Community
0
No community discussion yet.
Social Mentions
0
No social discussion found yet.
What this score means
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 5/10, Open Source AI is crawlable but under-signaled - fixable, and the signals above are where to start.
Frequently Asked Questions
What are open source AI models?
Open source AI models are machine learning models whose source code, architecture, and weights are publicly available. They can be freely used, modified, and deployed without vendor lock-in, offering transparency and cost savings compared to proprietary alternatives.
How do I choose the best open source AI model for my project?
Consider your specific use case, required performance metrics, available compute resources, and licensing requirements. Our KYI benchmarking system evaluates models across speed, quality, and cost to help you make informed decisions. Start by browsing models in your category of interest.
Are open source AI models as good as proprietary ones like GPT-4?
Many open source models like LLaMA 3.1, Mixtral, and Qwen 2.5 now match or exceed proprietary models in specific tasks. While GPT-4 excels in general reasoning, open source alternatives offer comparable performance with benefits like data privacy, customization, and no usage limits.
Can I use open source AI models commercially?
Yes, most open source AI models can be used commercially, but always check the specific license. Popular licenses include Apache 2.0, MIT, and custom licenses like LLaMA's community license. Our model pages clearly display licensing information for each model.
How much does it cost to run open source AI models?
Costs vary based on model size and infrastructure. Small models (7B parameters) can run on consumer GPUs, while large models (70B+) require enterprise hardware. Cloud hosting typically costs $0.50-$5 per million tokens. Self-hosting eliminates per-token costs but requires upfront hardware investment.
Is this your brand?
The exact fixes for Open Source AI
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How to Get Your Brand Cited by ChatGPT, Gemini, and Claude: The Complete AEO Guide
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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Source & Attribution
Scored by Engagemii on July 31, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/theopensource-ai
Cite this score: Engagemii (2026). "AEO Score for Open Source AI." Retrieved from https://engagemii.com/aeo/brands/theopensource-ai
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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