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AI Visibility Scorecard
SIMBA
getsimba.ai · Technology
Somewhat visible. AI bots can read SIMBA, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 6 times
ChatGPT · Meta AI · Claude · Apple Intelligence
#755,272 of 2,653,809 in Technology for AI visibility
5.1
/10
AEO Score
About SIMBA
from our crawl and measurement
SIMBA describes itself simply: "Advanced Bayesian marketing mix modeling platform for data-driven marketers." Its AI visibility score is 5.1 out of 10: the engines can find it, but they do not have much to hold on to.
Our crawl found structured data on the page (Organization, SoftwareApplication, WebSite), an llms.txt file for AI models and a sitemap.
AI crawlers have visited 3 times in our tracking, including ClaudeBot (Anthropic) and GPTBot (ChatGPT).
The 6 signals AI reads
Higher is better · 0-10
Structured Data
8
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
10
Clear headings and answer-style content.
Entity Clarity
5
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
7
Experience, Expertise, Authority, Trust markers.
Technical AEO
10
robots.txt, llms.txt, and AI-bot crawl access.
AI Discoverability
7
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
0
Little domain authority yet.
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 5.1/10, SIMBA has a working base to build on - fixable, and the signals above are where to start.
Frequently Asked Questions
What is marketing mix modeling (MMM)?
Marketing mix modeling is a statistical analysis technique that measures the impact of marketing activities on sales and other business outcomes. SIMBA uses Bayesian MMM powered by PyMC-Marketing to provide causal attribution, accounting for saturation, adstock effects, and seasonality.
How is SIMBA different from other MMM tools?
SIMBA is built on open-source PyMC-Marketing, meaning full transparency — no black boxes. You can inspect every prior, every model parameter, and every assumption. Our platform combines Bayesian modeling with an intuitive UI, AI-powered data auditing, scenario planning, and budget optimization.
Do I need coding or statistics experience?
No. SIMBA's interface lets you configure Bayesian models, set priors, and run optimizations without writing code. Smart defaults and an AI data auditor guide you through the process.
How secure is my marketing data?
SIMBA is Cyber Essentials certified and fully GDPR compliant. Your data is encrypted at rest with AES-256 and in transit with TLS 1.3, stored in isolated AWS S3 buckets.
Can I try SIMBA before committing?
Yes! We offer a 14-day free trial so you can explore the full platform with your own data before making a commitment.
Is this your brand?
The exact fixes for SIMBA
Which AI engines already crawl you
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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.
Continue reading in your free Engagemii portalFree signup unlocks the full article plus your personalized AEO fix list for SIMBA.
Source & Attribution
Scored by Engagemii on July 31, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/getsimba-ai
Cite this score: Engagemii (2026). "AEO Score for SIMBA." Retrieved from https://engagemii.com/aeo/brands/getsimba-ai
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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