Enerdata Brand Score: 81/100 - Strong Brand tier

We help you shape the energy transition

Enerdata (enerdata.net) earns a Brand Analyzer score of 81 out of 100, placing it in the Strong Brand tier among Energy & Utilities brands, Other brands. Among 1452 Energy & Utilities brands analyzed, Enerdata ranks in the 76th percentile (category average 74, leader 96). The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark. Dimension scores: Name Quality 85/100, Digital Presence 100/100, Visual Identity 96/100, Messaging Clarity 95/100, Trust Foundation 92/100, AI Discoverability 59/100, Brand Authority 48/100.

AI Snapshot

Enerdata is an independent research, data, and consulting company headquartered in Grenoble, France, founded in 1991. It specializes in energy efficiency, CO2 emissions, energy sources, and consumption analysis, providing energy reports, data, forecasts, and consulting services to the global energy industry. Its expertise spans energy modelling and forecasting, data management, and energy and climate change policy, serving businesses, governments, and organizations seeking to understand and navigate the global energy transition.

Key facts about Enerdata
Brand NameEnerdata
Domainenerdata.net
IndustryEnergy & Utilities, Other
Founded1991
HeadquartersGrenoble
Main CompetitorsWood Mackenzie, Rystad Energy (86/100), S&P Global Commodity Insights (66/100), BloombergNEF (80/100), IHS Markit (65/100), International Energy Agency

Evidence

Moz Domain Authority 60/100 vs category average 38 / leader 90 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.

Ranked #107,636 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.

No Wikipedia presence was found - a major gap, since Wikipedia is among the most heavily weighted sources in AI training data.

The homepage meta description reads "Research on energy efficiency, CO2 emissions, energy sources and energy consumption. Enerdata provides energy report, data, forecast, analysis and consulting on the global energy i…" (Meta description: 37 words. OG description present and descriptive) - this is the summary AI engines are most likely to quote.

Structured data on the homepage: og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding Organization and FAQ schema would further help AI crawlers parse the brand's identity.

AI-crawler access: No robots.txt found (default: all bots allowed, but explicit file preferred) - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.

Detected tech stack: Apache.

Social footprint: verified profiles on LinkedIn, YouTube, Instagram, GitHub; no detected presence on Facebook, X (Twitter) - consistent profiles reinforce the brand's identity across the web.

0 Reddit mentions - community discussion signals real-world reputation to AI models.

Score breakdown - 7 dimensions

AI visibility

Enerdata scores 35/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.

Enerdata has a weak AI-visibility profile at 35/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (50/100) and its weakest is visibility (26/100). It benefits from a Wikidata knowledge-graph entry, a global traffic rank of #107,636 (Tranco) and a Moz Domain Authority of 60/100. The main gaps holding it back: no clear Wikipedia entity to anchor it in LLM training data, thin schema.org structured data and no llms.txt to steer AI to its best pages. In a live check, Claude could already identify Enerdata from memory (August 2026) - a sign these signals are paying off.

Visibility - 26/100

Trust - 37/100

Recommendation likelihood - 50/100

Does AI know Enerdata?

Live results from asking a general-purpose AI assistant about the brand, checked August 2026.

When asked "What is Enerdata?", Claude could identify the brand as of August 2026. Enerdata is a French research and consulting firm specializing in global energy market intelligence, providing databases, statistics, and analysis on energy production, consumption, and prices across countries. It's widely used by governments, energy companies, and analysts for b Best known for its comprehensive global energy statistics and market research database used for energy sector analysis and forecasting.

When asked "Best brands similar to Enerdata?", Claude would recommend Enerdata as of August 2026. It's a well-established and respected source for energy data and market intelligence, so it would naturally come up when discussing top providers in energy analytics.

People Also Ask About Enerdata

Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.

Who are Enerdata's main competitors?

Enerdata's main competitors include Wood Mackenzie, Rystad Energy (86/100), S&P Global Commodity Insights (66/100), BloombergNEF (80/100), IHS Markit (65/100). These companies compete in the Energy & Utilities space for similar customers, offering comparable products or services.

Sources: Brand Analyzer scan

Enerdata vs Rystad Energy: how do they compare?

Enerdata and Rystad Energy are competitors in Energy & Utilities. Brand Analyzer scores Enerdata at 81/100 and Rystad Energy at 86/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.

Sources: Brand Analyzer scan

What products or services does Enerdata offer?

Enerdata offers energy reports, statistical data, forecasts, and consulting services. Its expertise areas include energy modelling and forecasting, data management, and analysis of energy and climate change policies, covering topics such as energy efficiency, CO2 emissions, and energy consumption across geographic and sector levels.

Sources: Enerdata official site

What are the best alternatives to Enerdata?

Popular alternatives to Enerdata include Wood Mackenzie, Rystad Energy (86/100), S&P Global Commodity Insights (66/100), BloombergNEF (80/100), IHS Markit (65/100). Each is an established option in the Energy & Utilities space; the best fit depends on your specific needs, budget, and required features.

Sources: Brand Analyzer scan

What is Enerdata?

Enerdata is an independent research company founded in 1991 and headquartered in Grenoble, France. It provides research, data, forecasting, and consulting services focused on the global energy industry, energy efficiency, CO2 emissions, and energy consumption.

Sources: Enerdata official site

When was Enerdata founded?

Enerdata was founded in 1991. Enerdata operates in the Energy & Utilities category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.

Sources: Wikidata

Where is Enerdata headquartered?

Enerdata is headquartered in Grenoble. Enerdata operates in the Energy & Utilities category.

Sources: Wikidata

What does Enerdata do?

Enerdata conducts independent research on energy and climate topics, producing energy reports, statistical data, forecasts, and analysis. It offers consulting services covering energy modelling and forecasting, data management, and energy and climate change policy for organizations navigating the global energy transition.

Sources: Enerdata official site

Does ChatGPT recommend Enerdata?

Enerdata scores 50/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Energy & Utilities options. Recommendation depends on crawlability, structured data, and category authority.

Sources: Enerdata official site

What is Enerdata known for?

Enerdata is known for its independent research and data on energy efficiency, CO2 emissions, energy sources, and global energy consumption, as well as its expertise in energy modelling, forecasting, and data management for the energy sector.

Sources: Enerdata official site

How can Enerdata improve its AI discoverability?

Enerdata can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.

Sources: Enerdata official site

Who uses Enerdata?

Enerdata's services are used by businesses, governments, and organizations within the energy sector that require research, data, forecasting, and consulting related to energy markets and climate change policy.

Sources: Enerdata official site

Recommendations

Peer brands

Ranked closest to Enerdata: Eaton (81/100), DeepSea (81/100), Envipco (81/100), Farmer Mac (81/100).

A step up - brands to learn from: Toshiba America (91/100), SUEZ (91/100).

Category leader: Electrek (96/100).