- Visibility27
- Citations1
- Sentiment50
- Site quality73
- AI readiness29
AI assistants name EQT in 13.3% of answers, which is more often than the typical company in the energy sector at 3.3%. Its overall score is 34 out of 100, ranking 897th of 2,047 companies. The company's website passes 4 out of 14 technical checks for readiness for AI tools.
We asked 15 unbranded questions about the energy market: none named EQT. AI assistants named it in 8 of 60 answers (13.3%). The typical energy company is named in 3.3% of answers. By how often it is named, EQT ranks 15 of 109 in its sector.
Every dot is a company in the study. Hover one to see it; click to open its report.
This companySame sectorEvery other companyNever named
Five parts, each scored out of 100.
How often AI assistants name the company
How often AI uses the company's own website as a source
How positively AI describes the company
How well built the website's own pages are
How easily AI tools can read and use the website
Visibility is calculated from the answers on this page. How the score is built.
109 companies in this sector. The line on each bar is the typical company.
An answer that names the company
“How does a vertically integrated natural gas producer compare to a traditional producer in terms of reliability and cost?”
A vertically integrated natural gas producer owns and controls multiple stages of its supply chain, from exploration and production to transportation and sometimes even distribution. In contrast, a traditional producer typically focuses solely on exploration and production, selling its gas at the wellhead to other companies for processing, transport, and distribution.
Here's a comparison of the two models in terms of reliability and cost:
Reliability:
Vertically Integrated Producer:
Increased Control and Stability: By owning more of the supply chain, a vertically integrated …
The AI’s answer as we received it, shortened and not checked for accuracy.
How the mentions in these answers were split between this company and its rivals
Answers naming it, out of answers received
What this website publishes for an AI agent to read, use and buy from, on a scale of six levels.
- 0
- 1
- 2
- 3
- 4
- 5
Level 0: Not yet agent-ready. Agents struggle to find basic information about the site.
- 2 of robots.txt, Sitemap, Link headers
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtNot met
Publish a valid robots.txt with crawl rules and a Sitemap line.
- study: 86.8%SitemapPassed
An XML sitemap listing the pages, ideally referenced from robots.txt.
- study: 0.3%Link headersNot met
Send Link headers such as rel="api-catalog" or rel="describedby" on the homepage.
- study: 5.5%DNS for AI DiscoveryNot present
Advertise agent endpoints with SVCB records under _agents.
- study: 1.9%Markdown negotiationNot met
Return a markdown version when asked with Accept: text/markdown, for example at the CDN.
- study: 25.1%llms.txtNot met
Publish an llms.txt with a short summary and the key links.
- study: 93.4%AI bot rulesPartly met
Add explicit robots.txt groups for the main AI crawlers.
- study: 1.4%Content SignalsNot met
Add a Content-Signal line for search, ai-input and ai-train to robots.txt.
- study: 0.2%Web Bot AuthNot present
Only relevant if you run your own agents or crawlers: publish a signing key directory.
- study: 0.3%API CatalogNot met
List public APIs in a linkset at /.well-known/api-catalog.
- study: 11.8%OAuth discoveryNot met
Publish OpenID Connect or OAuth server metadata under /.well-known.
- study: 10.3%OAuth Protected ResourceNot met
Serve protected resource metadata at /.well-known/oauth-protected-resource.
- study: 0.0%auth.mdNot met
Publish an auth.md describing how agents sign in.
- study: 0.2%MCP Server CardNot met
Offer an MCP server and publish its server card under /.well-known.
- study: 0.1%A2A Agent CardNot met
Publish an agent card at /.well-known/agent-card.json.
- study: 0.2%Agent SkillsNot met
Publish a skills index with the main tasks agents can do.
- study: 33.7%WebMCPCould not check
Register key actions such as search or cart as WebMCP tools.
- study: 0.1%ARD manifestNot met
Publish an ai-catalog.json listing every agent interface.
Score 15 of 100 · 97% of checks could run · checked on October 5, 2026 · www.eqt.com · 2,047 companies scanned
4 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 checksHide them
- Passedrobots.txt publishedstudy: 85.0%
- PassedXML sitemapstudy: 73.2%
- PassedHTTP Link headers (RFC 8288)study: 29.0%
- Not metMarkdown content negotiationstudy: 8.3%
- Not metllms.txt publishedstudy: 21.7%
- PassedToken budget (page weight)study: 95.2%
- Not metExplicit AI bot rulesstudy: 13.0%
- 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%
How many times each website was listed as a source in these answers
In the study as S&P 500.
- What are other sustainable energy options for companies looking to reduce their carbon footprint beyond natural gas?
- Are renewables a viable substitute for clean and affordable natural gas in large-scale energy procurement?
- How does a vertically integrated natural gas producer compare to a traditional producer in terms of reliability and cost?
- Is it worth choosing a vertically integrated natural gas supplier for long-term energy contracts?
- What are the best vertically integrated natural gas producers in the United States for large-scale energy needs?
- How is pricing structured for large-scale natural gas contracts from integrated producers?
- Natural gas from vertically integrated vs non-integrated producers—what are the pros and cons for industrial buyers?
- How can industrial clients leverage vertically integrated natural gas producers for emissions reduction targets?
- What alternatives exist for buyers seeking reliable, low-emission energy solutions besides vertically integrated natural gas?
- What drives the price differences between vertically integrated and non-integrated natural gas producers in the U.S.?
- Do vertically integrated natural gas producers offer more predictable pricing for utility companies?
- What should energy buyers do if there are supply interruptions from a vertically integrated natural gas producer?
- How do utility companies handle environmental compliance issues with large-scale natural gas procurement?
- Who supplies affordable and reliable clean energy through natural gas in the U.S.?
- What are common applications of large-scale, clean-burning natural gas in institutional energy portfolios?
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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<a href="https://aeo-audit.rezolve.com/us/eqt.com"><img src="https://aeo-audit.rezolve.com/us/badges/eqt.com.svg" alt="Overall score 34 of 100, US AI Visibility Study 2026" width="280" height="64"></a>