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Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can actually read your site and cite it in answers. Two-thirds of websites are invisible to them. ProdE just got measured.
6/10 means ProdE is somewhat visible. AI bots can read you, but you are missing the structured signals that would push citation rate above competitors.
Like Cursor, but for product management. A shared workspace where PMs and engineers collaborate on living specs, grounded in your codebase across repos, services, and legacy systems.
Category: Technology
curiousbox.ai3
Structured Data
9
Content Structure
7
Entity Clarity
6
E-E-A-T Signals
6
Technical AEO
4
AI Discoverability
Do you train on our code?
No. Your code is never used to train any models. ProdE has read-only access to your codebase. It never writes or modifies code. All data is encrypted with per-team keys using two-tier envelope encryption.
How does ProdE relate to Jira, Linear, or ClickUp?
Software delivery has outgrown task lists. Your ticketing tool tracks work items; ProdE grounds those work items in what your system actually does. It's a system-aware planning layer that understands your codebase, maps dependencies across services, and keeps specs aligned with reality as code evolves. They work together. ProdE connects to Jira and Confluence, and adds the codebase intelligence those tools were never designed to have.
Does ProdE write or modify our code?
No. ProdE has strictly read-only access. It analyzes, indexes, and maps your codebase to provide intelligence, but it never pushes commits, opens PRs, or changes a single line of code. It's an understanding layer, not an execution layer.
Does it work for multi-repo and microservices?
Yes, this is the core use case. ProdE builds a knowledge graph across all your repositories, mapping cross-service dependencies, APIs, and data flows. Teams with 40+ microservices and 5M+ lines of code use ProdE daily.
How does it work with Cursor, Claude Code, Copilot, and Windsurf?
ProdE runs an MCP server that gives coding agents direct access to your specs, requirements, architectural context, guardrails, and planning artifacts. Instead of guessing from file contents alone, agents work from approved plans with full system context: what exists, what's changing, and what the boundaries are.
Can non-technical team members use it?
Absolutely. PMs and leadership can ask questions about the system in plain English, generate specs, and review change impact, all without reading code. That's the whole point: unblock product teams from depending on senior engineers for every question about how the system works.
Can ProdE help with M&A due diligence?
Yes. ProdE maps your entire codebase into a knowledge graph with cross-service dependencies, API surfaces, and architecture diagrams. Teams use it to assess technical debt, understand system boundaries, and get a clear picture of what they're acquiring or integrating.
How long does setup take?
About 2 minutes. Connect your repos via OAuth, and ProdE auto-detects your languages, builds the knowledge graph, and indexes your codebase. No infrastructure to manage, no agents to install.
Is this your brand?
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Your full 6-category score breakdown
Exact fixes: robots.txt, schema, llms.txt
AI bot crawls from ChatGPT, Claude, Perplexity, Gemini
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Scored by Engagemii on May 21, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/curiousbox-ai
Cite this score: Engagemii (2026). "AEO Score for ProdE." Retrieved from https://engagemii.com/aeo/brands/curiousbox-ai
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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