AI Visibility Scorecard
getsimba.ai · Technology
Borderline visible. AI bots can crawl SIMBA, 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 8 times
Meta AI · Claude · ChatGPT · Apple Intelligence
#1,895,631 of 2,705,461 in Technology for AI visibility
<1
4
AEO Visibility
iNear-invisible · 3.6/10
75
Muse Index Score
iAI agent readiness
Transactable · 75/100
13
AI Adoption
iBasic · 13/100
from our crawl and measurement
SIMBA describes itself simply: "Advanced Bayesian marketing mix modeling platform for data-driven marketers." When AI engines look at it, they find little to work with. It scores 3.6 out of 10.
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 8 times in our tracking, including ClaudeBot (Anthropic), GPTBot (ChatGPT) and Applebot (Siri).
Strong · Good · Fair · Weak
Structured Data
Strong
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Strong
Clear headings and answer-style content.
Entity Clarity
Fair
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Good
Experience, Expertise, Authority, Trust markers.
Technical AEO
Strong
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 3.6/10, SIMBA is crawlable but under-signaled - fixable, and the signals above are where to start.
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
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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 October 25, 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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