AI Visibility Scorecard
harper.fast · Technology
At 3.13/10, Harper is near-invisible in AI search today. Most AI engines will not name it when asked about its category. The weakest signals are E-E-A-T Signals, Backlinks and News Mentions. That is fixable, and the signals below show where to start.
AI engines read this profile 6 times
Claude · Meta AI · Apple Intelligence · Parallel
Top 25% in Technology for AI visibility
53
AI Naming Predictability
iRarely named · 53/100
Technology average 28
Top 12% of Technology
See what's behind this score →3.13
-
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 →85
Muse Index Score
iAI agent readiness
Transactable · 85/100
Technology average 17
See what's behind this score →30
from our crawl and measurement
Harper, based in Denver, CO, describes itself simply: "Scalable performance for production apps, AI agents, streaming, and APIs in one in-process runtime. ~1ms data retrieval and up to 85% fewer LLM calls at scale." When AI engines look at it, they find little to work with. It scores 3.13 out of 10.
Our crawl found structured data on the page (Organization, WebSite, WebPage), an llms.txt file for AI models and a sitemap.
AI crawlers have read this profile 6 times in our tracking, including ClaudeBot (Anthropic), Meta AI and Applebot (Siri).
Strong · Good · Fair · Weak
Structured Data
Strong
Organization / LocalBusiness JSON-LD that AI can read.
Content Structure
Fair
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
Weak
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
Fair
Established authority for your domain.
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 3.13/10, Harper is near-invisible to AI engines today. That is fixable, and the signals above are where to start.
What is Harper?
Harper is the runtime platform for durable applications in the agentic era. It is a declarative, full-stack runtime that unifies database, cache, application logic, and messaging into one high-performance environment. Teams use Harper to define, build, and operate production applications with fewer moving parts and less integration overhead.
Is Harper a database?
Harper includes a high-performance database, but it is much more than that. Harper is a unified runtime platform that combines database, cache, application logic, real-time messaging, vector search, blob storage, and global deployment into one environment. Describing Harper as just a database understates its scope and strategic value.
How does Harper work with AI coding tools?
Harper provides a declarative full-stack surface that AI systems can reason about, design with, and act on directly. Because infrastructure and application behavior are defined in a unified, structured environment, AI coding tools like Claude Code, Cursor, Codex, and Gemini CLI can understand the entire application stack without navigating fragmented services and configurations. This makes AI-assisted development faster, safer, and more production-ready.
Why is Harper different from other infrastructure platforms?
Most modern application stacks are fragmented across many separate services for storage, APIs, messaging, caching, compute, and deployment. That fragmentation creates complexity for developers and even more friction for AI systems. Harper is different because it provides a unified runtime that reduces moving parts, eliminates integration overhead, and gives teams a single declarative surface for defining and operating production applications.
How does Harper fit into enterprise environments?
Harper helps enterprises adopt more AI in software delivery without forcing them to expose scattered infrastructure or customer-critical systems in uncontrolled ways. It works with existing CI/CD pipelines and delivery workflows, supports global deployment through Harper Fabric, and provides a more controlled and understandable platform surface for teams that need governance, performance, and operational clarity.
What types of applications can you build with Harper?
Harper is designed for durable, production-grade applications across a wide range of categories including e-commerce experiences, real-time backends, edge and IoT systems, operational platforms, event-driven architectures, media and live data environments, and distributed systems that require high performance and low latency.
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/harper-fast
Cite this score: Engagemii (2026). "AEO Score for Harper." Retrieved from https://engagemii.com/aeo/brands/harper-fast
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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