Data as of Aug 25, 2026 · Based on 1,482 AI responses · See how Parse measures this
Smart Grid Energy Management Platforms
Parse
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EdgeCom AI has rapidly emerged as a top-mentioned name in AI-powered smart grid management. The niche is increasingly defined by specialized leaders for individual use cases like demand response and peak prediction, with brands like Schneider Electric and also gaining significant ground since late 2025.
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | Provides integrated software and services for long-term load forecasting. | 17% | |
| 2 | 16% | ||
| 3 | Offers AI and IoT-enabled solutions for grid optimization and resilience. | 16% | |
| 4 | A leading demand response aggregator for commercial and industrial customers. | 14% | |
| 5 | Enterprise-grade platform for short- to long-term utility load forecasting. | 14% | |
| 6 | Specialist in demand-side management and monetizing load curtailment. | 14% | |
| 7 | Legacy industrial player with AI for predictive maintenance and real-time grid monitoring. | 13% | |
| 8 | 12% | ||
| 9 | 12% | ||
| 10 | Uses machine learning to predict future energy demand and peak events. | 11% | |
| 11 | 10% | ||
| 12 | A blockchain platform for enabling peer-to-peer energy trading between neighbors. | 10% | |
| 13 | 10% | ||
| 14 | 9% | ||
| 15 | 9% | ||
| 16 | 8% | ||
| 17 | 8% | ||
| 18 | 8% | ||
| 19 | 7% | ||
| 20 | 7% | ||
| 21 | 7% | ||
| 22 | 7% | ||
| 23 | 7% | ||
| 24 | 6% | ||
| 25 | 6% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
sciencedirect.com is the page AI reaches for most here, cited in 34% of analyzed answers.
Dropped from the #2 most-mentioned brand in October 2025 to #8 by March 2026.
Became one of the most consistently cited large providers between November 2025 and March 2026.
Emerged in early 2026 and quickly became a top-cited solution by March 2026.
“A specific project example for P2P trading” → “An enabling platform within a broader blockchain technology stack”
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 27% | 11% | ||
| 12% | 18% | ||
| 20% | 14% | ||
| 13% | 16% | ||
| 20% | 8% |
The two models disagree most about Brooklyn Microgrid (ChatGPT #24, Google #9) and Siemens (ChatGPT #20, Google #6).
EdgeCom AI has rapidly emerged as a top-mentioned name in AI-powered smart grid management. The niche is increasingly defined by specialized leaders for individual use cases like demand response and peak prediction, with brands like Schneider Electric and Voltus also gaining significant ground since late 2025.
Across 1,482 AI responses, Itron is mentioned most, named in 17% of them, followed by Enel (16%) and Schneider Electric (16%).
Parse measures each brand's mention rate — the share of answers naming it — across 1,482 AI responses to this market's buyer questions. Answers are collected daily and the ranking is published weekly.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
AI responses consistently highlight Voltus and
CPower Energy as top aggregators for industrial facilities.
Enel X is also a frequent recommendation, while EdgeCom AI emerged as a new contender in early 2026.
I am looking for a "demand response" aggregator that works with industrial facilities.
AI responses consistently highlight Voltus and
CPower Energy as top aggregators for industrial facilities.
Enel X is also a frequent recommendation, while EdgeCom AI emerged as a new contender in early 2026.
This prompt is dominated by a stable set of enterprise software providers, with Itron and consistently cited as the leading options. and Energy are also frequently mentioned for their robust modeling capabilities.
Brands mentioned
This prompt is dominated by a stable set of enterprise software providers, with Itron and
SAS consistently cited as the leading options.
Energy Exemplar and
Hitachi Energy are also frequently mentioned for their robust modeling capabilities.