AI Visibility Scorecard
prode.ai · Technology
Borderline visible. AI bots can crawl ProdE, 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 16 times
Claude · ChatGPT · Meta AI · Apple Intelligence
#566,361 of 2,705,505 in Technology for AI visibility
14
5
AEO Visibility
iBorderline · 4.7/10
55
Muse Index Score
iAI agent readiness
Agent-ready · 55/100
12
AI Adoption
iBasic · 12/100
from our crawl and measurement
"ProdE is the planning layer built for agentic development. Your PMs and engineers turn ideas into coding-agent-ready specs grounded in your codebase, across repos, services, and legacy." That is how ProdE introduces itself. When AI engines look at it, they find little to work with. It scores 4.7 out of 10.
Our crawl found structured data on the page (Organization, WebSite, FAQPage), an llms.txt file for AI models and a sitemap.
AI crawlers have visited 3 times in our tracking, including GPTBot (ChatGPT) and ClaudeBot (Anthropic).
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
Strong
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
Strong
Sitemaps and entity links AI can follow.
How the web signals your brand to AI
Backlinks
Weak
No inbound links found yet.
Domain Authority
Fair
Established authority for your domain.
Reference Presence
Weak
Not in AI knowledge graphs yet.
News & Press
Weak
No press coverage found yet.
Community
Fair
Forum and community discussion.
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 4.7/10, ProdE is crawlable but under-signaled - fixable, and the signals above are where to start.
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?
The exact fixes for ProdE
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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 August 1, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/prode-ai
Cite this score: Engagemii (2026). "AEO Score for ProdE." Retrieved from https://engagemii.com/aeo/brands/prode-ai
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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