Edge Network Planner
AI recommendation signal analysis across 175 domains for the Edge Network Planner persona in Data Center Colocation.
This report tracks how AI models and search engines recommend companies across 100 industries. If you want the same analysis run specifically against your own site and competitors, get in touch.
Get in touch →How to use this page
See the searches AI runs for itself
When an AI model needs the web to answer, it writes its own search queries. These are those queries, word for word. They show how machines translate buyer questions into searches, so make sure your pages answer the queries the models actually run, not just the ones humans type.
Where the numbers come from
During the LLM runs that used web search, we captured every search query each model issued for this segment's questions. Counts are small by nature: a model typically runs only a handful of these searches per question.
What's on this page
A side-by-side comparison of any two models' queries, and a table of every query with the models that used it.
Compare two models' fanout queries
The exact web searches each model ran while answering Edge Network Planner questions. Pick a model for each column. Lists are short by nature: a model issues only a handful of searches per question.
- best edge colocation providers distributed data centers North America interconnection
- data center colocation edge deployments regional footprint interconnection providers
- Edge data center colocation providers cloud on ramps carrier neutral remote hands
- distributed edge colocation data center providers regional coverage
- top edge colocation data center providers
- "nlighten" data center locations
- "atlasedge" data center locations
All fanout queries
Every fanout query for this segment, with how many models used it and which ones. Overlap between models means they translated the same buyer question into the same search, a strong signal that ranking for that query matters.
| Query | LLM Count | LLMs |
|---|---|---|
| "atlasedge" data center locations | 1 | Gemini 3.5 Flash |
| "nlighten" data center locations | 1 | Gemini 3.5 Flash |
| best colocation providers edge computing distributed deployments 2024 2025 | 1 | DeepSeek V4 Pro |
| best colocation providers edge deployment regional coverage | 1 | Claude Haiku 4.5 |
| best colocation providers for edge deployments multiple metros 2026 | 1 | Claude Sonnet 5 |
| best edge colocation providers distributed data centers north america interconnection | 1 | GPT 5.5 |
| colocation providers edge computing multi metro small footprint deployments | 1 | DeepSeek V4 Pro |
| data center colocation edge deployments regional footprint interconnection providers | 1 | GPT 5.5 |
| distributed edge colocation data center providers regional coverage | 1 | Gemini 3.5 Flash |
| distributed edge colocation facilities network peering | 1 | Claude Haiku 4.5 |
| edge data center colocation providers cloud on ramps carrier neutral remote hands | 1 | GPT 5.5 |
| netrality databank tierpoint flexential edge colocation | 1 | Claude Haiku 4.5 |
| top data center colocation companies metro markets 2026 | 1 | Claude Haiku 4.5 |
| top edge colocation data center companies regional coverage interconnection | 1 | Claude Sonnet 5 |
| top edge colocation data center providers | 1 | Gemini 3.5 Flash |
| top edge data center colocation providers regional coverage interconnection | 1 | DeepSeek V4 Pro |
| vapor io edgeconnex zenlayer edge colocation providers 2026 | 1 | Claude Haiku 4.5 |