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AI Visibility Scorecard

BaxBench: Can LLMs Generate Secure and Correct Backends?

BaxBench: Can LLMs Generate Secure and Correct Backends?

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baxbench.com · Technology

Somewhat visible. AI bots can read BaxBench: Can LLMs Generate Secure and Correct Backends?, but it is missing the structured signals that push citation rate above competitors.

AI engines read this profile 1 times

Claude

#349,885 of 2,623,574 in Technology for AI visibility

5.7

/10

AEO Score

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About BaxBench: Can LLMs Generate Secure and Correct Backends?

from our crawl and measurement

BaxBench: Can LLMs Generate Secure and Correct Backends? describes itself simply: "We introduce a novel benchmark to evaluate LLMs on secure and correct code generation, showing that even flagship LLMs are not ready for coding automation, frequently generating insecure or." Its AI visibility score is 5.7 out of 10: the engines can find it, but they do not have much to hold on to.

Our crawl found a readable heading structure. It is missing structured data describing the business, an llms.txt file and a sitemap.

AI crawlers have visited once in our tracking, including ClaudeBot (Anthropic).

Industry · Technology
Last scored · Aug 1, 2026

The 6 signals AI reads

Higher is better · 0-10

Structured Data

2

Organization / LocalBusiness JSON-LD that AI can read.

Content Structure

8

Clear headings and answer-style content.

Entity Clarity

3

How clearly your brand identity reads to AI.

E-E-A-T Signals

Experience, Expertise, Authority, Trust

1

Experience, Expertise, Authority, Trust markers.

Technical AEO

5

robots.txt, llms.txt, and AI-bot crawl access.

AI Discoverability

5

Sitemaps and entity links AI can follow.

Off-page authority

How the web signals your brand to AI

Backlinks

9

Inbound links from other sites.

Domain Trust

3

Established authority for your domain.

Entity Presence

0

Not in AI knowledge graphs yet.

News Mentions

0

No press coverage found yet.

Community

2

Forum and community discussion.

Reddit

0

No Reddit mentions 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 5.7/10, BaxBench: Can LLMs Generate Secure and Correct Backends? has a working base to build on - fixable, and the signals above are where to start.

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The exact fixes for BaxBench: Can LLMs Generate Secure and Correct Backends?

Which AI engines already crawl you

Weekly ChatGPT & Claude citation tracking

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Picked for BaxBench: Can LLMs Generate Secure and Correct Backends?: Tech & Electronics

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Source & Attribution

Scored by Engagemii on August 1, 2026. Methodology: engagemii.com/aeo/methodology

Source URL: https://engagemii.com/aeo/brands/baxbench

Cite this score: Engagemii (2026). "AEO Score for BaxBench: Can LLMs Generate Secure and Correct Backends?." Retrieved from https://engagemii.com/aeo/brands/baxbench

Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.

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