AI Visibility Scorecard
getrunql.com · Technology
At 1.63/10, Darling Ventures is near-invisible in AI search today. Most AI engines will not name it when asked about its category. The weakest signals are Entity Clarity, Backlinks and Domain Trust. That is fixable, and the signals below show where to start.
AI engines read this profile 3 times
Claude
Top 50% in Technology for AI visibility
7
AI Naming Predictability
iRarely named · 7/100
Technology average 28
Top 80% of Technology
See what's behind this score →1.63
-
Network Authority
iNot connected yet
0 relationships on record. Businesses in Technology average 4. Claim your page and Engagemii is your first.
See what's behind this score →65
Muse Index Score
iAI agent readiness
Transactable · 65/100
Technology average 17
See what's behind this score →12
from our crawl and measurement
Darling Ventures is a business whose own site puts it this way: "RunQL is a free, open-source SQL IDE or extension for VS Code that helps you run queries, auto-document schemas, generate ERDs and charts, and store artifacts as Git-ready files." To AI engines like ChatGPT and Perplexity, though, it is barely visible: it scores 1.63 out of 10.
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 read this profile 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
Weak
How clearly your brand identity reads to AI.
E-E-A-T Signals
Experience, Expertise, Authority, Trust
Fair
Experience, Expertise, Authority, Trust markers.
Technical AEO
Good
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
-
Not yet measured.
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 read your site and name it in answers. At 1.63/10, Darling Ventures is near-invisible to AI engines today. That is fixable, and the signals above are where to start.
What does "everything as code" mean?
Saved queries, schema documentation, ERD diagrams, and charts are all stored as readable code files in your project. That means they're version-controlled, reviewable in pull requests, and available to your entire team. No more digging through a standalone tool's proprietary storage to find that query someone wrote last quarter.
How does auto-documentation work?
RunQL reads your live schema and generates documentation for tables, columns, and relationships with a single click. If you have an AI provider configured, it can also generate human-readable descriptions based on column names, types, and context. Everything is automatically indexed so you can search across all your documentation, queries, and metadata instantly.
Can I create charts and ERDs?
Yes. Run a query and visualize the results as a chart directly in VS Code — bar, line, pie, and more with customizable colors. ERDs are generated automatically from your schema and can be customized to focus on the tables you care about. Both charts and ERDs are stored as code files in your workspace, so they're versioned, diffable, and always up to date.
Is RunQL free to use?
Yes. RunQL is open source under the MIT license. Install it directly from the VS Code Marketplace at no cost.
How does Snowflake support work?
Snowflake is supported through a separate VS Code extension (runql-snowflake) that registers itself with RunQL's adapter API.
ChatGPT doesn't crawl the web like Google does. When someone asks Claude about the best project management tools, the model isn't searching your website in real-time. It's pulling from training data that stopped months or years ago.
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Scored by Engagemii on November 9, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/getrunql
Cite this score: Engagemii (2026). "AEO Score for Darling Ventures." Retrieved from https://engagemii.com/aeo/brands/getrunql
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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