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NextEra Energy

nexteraenergy.com · Energy · NEE

Ranked 1,347 of 2,047 companies in the study

29Overall score
  • Visibility7
  • Citations0
  • Sentiment50
  • Site quality87
  • AI readiness21
What this means for NextEra Energy

AI assistants rarely name NextEra Energy, appearing in 1 of 60 answers, with Xcel Energy also named in the same answer. Its overall score is 29 out of 100, ranking 1,347th of 2,047 companies. The website passes 3 out of 14 technical checks for supporting AI tools.

We asked 15 unbranded questions about the energy market: none named NextEra Energy. AI assistants named it in 1 of 60 answers (1.7%). The typical energy company is named in 3.3% of answers. By how often it is named, NextEra Energy ranks 62 of 109 in its sector.

Named fewer than three times in total. Read this as a sign that AI assistants rarely bring this company up, not as an exact comparison with its rivals.

Named by AI in
1.7%
1 of 60 answers
Share of mentions
14.3%
compared with 5 rivals
AI readiness
3/14
technical checks passed. Typical for its sector: 3
Rank in its sector
53 of 109
by overall score, where the typical energy company scores 29
How NextEra Energy compares with all 2,047 companies

Every dot is a company in the study. Hover one to see it; click to open its report.

This companySame sectorEvery other companyNever named

What makes up the score

Five parts, each scored out of 100.

Visibility
7

How often AI assistants name the company

Citations
0

How often AI uses the company's own website as a source

Sentiment
50

How positively AI describes the company

Site quality
87

How well built the website's own pages are

AI readiness
21

How easily AI tools can read and use the website

Visibility is calculated from the answers on this page. How the score is built.

Compared with energy

109 companies in this sector. The line on each bar is the typical company.

Overall score29
Ranks 53 of 109. Typical company: 29
Named in answers2%
Ranks 62 of 109. Typical company: 3%
AI readiness21
Ranks 52 of 109. Typical company: 21
What Claude actually said

An answer that names the company

“What are the best renewable energy solutions for U.S. businesses looking to reduce their carbon footprint?”

I'll search for current information about the best renewable energy solutions for U.S. businesses.Based on current information, here are the best renewable energy solutions for U.S. businesses looking to reduce their carbon footprint:

Primary Renewable Energy Sources

Solar power is at the forefront of renewable energy solutions, with businesses able to install photovoltaic (PV) panels or solar thermal systems to capture the sun's energy. For businesses located in wind-rich regions, small wind turbines can supplement energy needs and reduce reliance on traditional power grids.

Clean energ …

The AI’s answer as we received it, shortened and not checked for accuracy.

Also named
Xcel Energy1
Share of mentions

How the mentions in these answers were split between this company and its rivals

NextEra Energy
50.0%
Xcel Energy
50.0%
Duke Energy
0.0%
Dominion Energy
0.0%
Southern Company
0.0%
AES Corporation
0.0%
Which AI assistants named the company

Answers naming it, out of answers received

Claude
1/15
Gemini
0/15
OpenAI
0/15
Perplexity
0/15
Ready for AI agents

What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.

  1. 0
  2. 1
  3. 2
  4. 3
  5. 4
  6. 5

Level 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.

To reach level 2:
  • Content Signals
Show every check, for your technical team
Discoverability
72 of 100
  • robots.txtPassed

    A valid robots.txt with crawl rules at the site root.

    study: 92.0%
  • SitemapPartly met

    Serve an XML sitemap and reference it from robots.txt.

    study: 86.8%
  • Link headersNot met

    Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.

    study: 0.3%
  • DNS for AI DiscoveryNot present

    Advertise agent endpoints with SVCB records under _agents.

    study: 5.5%
Content accessibility
0 of 100
  • Markdown negotiationNot met

    Return a markdown version when asked with Accept: text/markdown, for example at the CDN.

    study: 1.9%
  • llms.txtNot met

    Publish an llms.txt with a short summary and the key links.

    study: 25.1%
Bot access control
32 of 100
  • AI bot rulesPartly met

    Add explicit robots.txt groups for the main AI crawlers.

    study: 93.4%
  • Content SignalsNot met

    Add a Content-Signal line for search, ai-input and ai-train to robots.txt.

    study: 1.4%
  • Web Bot AuthCould not check

    Only relevant if you run your own agents or crawlers: publish a signing key directory.

    study: 0.2%
APIs, auth and MCP
0 of 100
  • API CatalogCould not check

    List public APIs in a linkset at /.well-known/api-catalog.

    study: 0.3%
  • OAuth discoveryCould not check

    Publish OpenID Connect or OAuth server metadata under /.well-known.

    study: 11.8%
  • OAuth Protected ResourceCould not check

    Serve protected resource metadata at /.well-known/oauth-protected-resource.

    study: 10.3%
  • auth.mdNot met

    Publish an auth.md describing how agents sign in.

    study: 0.0%
  • MCP Server CardCould not check

    Offer an MCP server and publish its server card under /.well-known.

    study: 0.2%
  • A2A Agent CardCould not check

    Publish an agent card at /.well-known/agent-card.json.

    study: 0.1%
  • Agent SkillsCould not check

    Publish a skills index with the main tasks agents can do.

    study: 0.2%
  • WebMCPCould not check

    Register key actions such as search or cart as WebMCP tools.

    study: 33.7%
  • ARD manifestCould not check

    Publish an ai-catalog.json listing every agent interface.

    study: 0.1%

Score 35 of 100 · 65% of checks could run · checked on October 5, 2026 · www.nexteraenergy.com · 2,047 companies scanned

See how every company did, and how this was measured.

The checks behind the AI readiness score

3 of 14 passed. This list is for your technical team. The percentage is how many companies in the study pass each check.

These 14 checks ran during the audit and are what the AI readiness part of the overall score counts. The scan above ran later and is stricter on Link headers and Markdown, so a check can pass here and not there.

Show the 14 checks
Discoverability
  • Passedrobots.txt publishedstudy: 85.0%
  • PassedXML sitemapstudy: 73.2%
  • Not metHTTP Link headers (RFC 8288)study: 29.0%
Content Accessibility
  • Not metMarkdown content negotiationstudy: 8.3%
  • Not metllms.txt publishedstudy: 21.7%
  • PassedToken budget (page weight)study: 95.2%
Bot Access Control
  • Not metExplicit AI bot rulesstudy: 13.0%
API / Auth / MCP
  • Not metAPI Catalog (.well-known/api-catalog)study: 0.2%
  • Not metOAuth Authorization Server discoverystudy: 10.1%
  • Not metOAuth Protected Resource discoverystudy: 9.3%
  • Not metMCP Server Cardstudy: 0.0%
  • Not metA2A Agent Cardstudy: 0.0%
  • Not metWebMCP toolsstudy: 4.2%
  • Not metAgent Skills declaredstudy: 0.0%
What AI crawlers may read (robots.txt)

This website sets no rules for any AI crawler by name, like 84% of the websites whose rules we could read. Every AI crawler follows its general rules.

Training AI
  • GPTBotallowed
  • ClaudeBotallowed
  • Anthropic-AIallowed
  • Google-Extendedallowed
  • Applebot-Extendedallowed
  • Meta-ExternalAgentallowed
  • FacebookBotallowed
  • Bytespiderallowed
  • CCBotallowed
  • Diffbotallowed
  • Omgilibotallowed
AI search
  • OAI-SearchBotallowed
  • Claude-SearchBotallowed
  • PerplexityBotallowed
  • Applebotallowed
  • Amazonbotallowed
  • YouBotallowed
Answering questions
  • ChatGPT-Userallowed
  • Claude-Userallowed
  • Perplexity-Userallowed
  • DuckAssistBotallowed
  • MistralAI-Userallowed

Read from the website’s own rules file (robots.txt). An asterisk marks a crawler the file names. The rest follow its general rules. “Partly” means only some pages are blocked.

Websites the AI used as sources

How many times each website was listed as a source in these answers

energy.gov
28
epa.gov
17
energysage.com
13
rmi.org
8
smartenergy.com
6
mde.maryland.gov
6
justdial.com
6
solartechonline.com
5
electricrates.org
5
tethys.pnnl.gov
5

In the study as S&P 500.

Every question, and where the company came up (1 of 15)
QuestionOpenAIClaudePerplexityGemini
  • Top sustainable power options for municipalities seeking reliable electricity supply
  • Best sustainable energy options for schools aiming to achieve net-zero goals
  • What are the best renewable energy solutions for U.S. businesses looking to reduce their carbon footprint?
  • Clean energy alternatives to traditional utility providers for rural homeowners
  • Alternatives to large-scale wind energy for coastal communities
  • Are new zero-emission energy plans cost-effective for residential customers?
  • How do solar farms compare to wind farms for large-scale energy generation?
  • Is investing in a commercial solar power agreement worth it for medium-sized U.S. businesses?
  • Green hydrogen vs. battery storage: which is better for supporting a renewable energy grid?
  • What should businesses do if green energy contract rates suddenly increase?
  • How can cities leverage innovative energy solutions for disaster resilience?
  • Common issues when switching to renewable power suppliers and how to address them
  • Typical cost breakdown for sustainable electricity plans in the U.S.?
  • What is the average price per megawatt-hour for renewable energy contracts in the commercial sector?
  • What are the best options besides rooftop solar for small businesses seeking sustainable energy?
named the companyanswered without naming itdid not answer

Columns, left to right: OpenAI, Claude, Perplexity, Gemini. The AI assistants often disagree. Across the study, on 40% of the questions where a company is named, only one of the four names it.

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