AI Visibility Scorecard
flowcore.com · Technology
Somewhat visible. AI bots can read Flowcore, but it is missing the structured signals that push citation rate above competitors.
AI engines read this profile 3 times
Claude
#226,480 of 2,705,025 in Technology for AI visibility
6
AEO Visibility
iBorderline · 5.8/10
85
Muse Index Score
iAI agent readiness
Transactable · 85/100
8
AI Adoption
iBasic · 8/100
from our crawl and measurement
"Event-first data platform for AI developers with single source of truth, infinite replay capabilities, and universal database support." That is how Flowcore of Tórshavn introduces itself. Its AI visibility score is 5.8 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 (SoftwareApplication, FAQPage), a sitemap and a readable heading structure. It is missing an llms.txt file.
AI crawlers have visited 3 times in our tracking, including ClaudeBot (Anthropic).
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
Fair
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
Strong
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Strong
Inbound links from other sites.
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 5.8/10, Flowcore has a working base to build on - fixable, and the signals above are where to start.
What makes Flowcore different from traditional databases?
Flowcore is event‑first: all changes are written as events to create a single source of truth, with infinite replay for debugging, testing and model training.
How does the infinite replay feature work?
Every event is preserved with immutable timestamps. You can replay from any point in time to any destination to rebuild state, test features or train AI models.
What databases and systems does Flowcore support?
Flowcore supports major database categories (relational, graph, time series, vector, key‑value, column and document), plus warehouses, object storage, CSV/Parquet and communication systems such as email, SMS, webhooks and queues.
How quickly can I get started with Flowcore?
Install the CLI, create a data core and start sending events. First setup typically takes only a few minutes.
Is Flowcore suitable for production workloads?
Yes. Flowcore targets high throughput with low latency and enterprise features such as GDPR compliance, permission management, obfuscation and audit trails.
What are the pricing options and how do they scale?
Plans start at $400/month with higher‑tier options for more storage and throughput, plus a cluster license for self‑hosted. Extras include additional storage and transformer units.
Is this your brand?
The exact fixes for Flowcore
Which AI engines already crawl you
Free AI bot monitoring: see every AI crawler that visits you
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 August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/flowcore
Cite this score: Engagemii (2026). "AEO Score for Flowcore." Retrieved from https://engagemii.com/aeo/brands/flowcore
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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