- Visibility15
- Citations1
- Sentiment93
- Site quality80
- AI readiness36
AI assistants name Helmerich & Payne in 8.3% of answers, which is more often than the typical company in the energy sector. Its overall score is 40 out of 100, placing it 419th of 2,047 companies. The website passes 5 out of 14 technical checks for AI tool readiness.
We asked 15 unbranded questions about the energy market: none named Helmerich & Payne. AI assistants named it in 5 of 60 answers (8.3%). The typical energy company is named in 3.3% of answers. By how often it is named, Helmerich & Payne ranks 27 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
“Best energy drilling contractors for maximizing operational efficiency on shale projects”
I'll search for information about the best energy drilling contractors specializing in shale projects and operational efficiency.Based on recent industry data and rankings, here are the top energy drilling contractors for maximizing operational efficiency on shale projects:
Leading Drilling Contractors
Major U.S. Land Drilling Contractors (2026):
Helmerich & Payne (H&P) ranked as the most active U.S. land drilling contractor, recording 15.85 million feet of total drilled measured depth across 776 wells, followed by Patterson-UTI Drilling with 9.51 million feet across 442 wells, and N …
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 1: Basic web presence. Two of robots.txt, a sitemap and Link headers are in place.
- Content Signals
Show every check, for your technical teamHide the checks
- study: 92.0%robots.txtPassed
A valid robots.txt with crawl rules at the site root.
- 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.txtPassed
An llms.txt that tells language models what the site offers.
- 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 36 of 100 · 97% of checks could run · checked on October 5, 2026 · www.hpinc.com · 2,047 companies scanned
5 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%
- Passedllms.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%
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.
- GPTBotallowed
- ClaudeBotallowed
- Anthropic-AIallowed
- Google-Extendedallowed
- Applebot-Extendedallowed
- Meta-ExternalAgentallowed
- FacebookBotallowed
- Bytespiderallowed
- CCBotallowed
- Diffbotallowed
- Omgilibotallowed
- OAI-SearchBotallowed
- Claude-SearchBotallowed
- PerplexityBotallowed
- Applebotallowed
- Amazonbotallowed
- YouBotallowed
- 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.
How many times each website was listed as a source in these answers
In the study as US-listed.
- Best energy drilling contractors for maximizing operational efficiency on shale projects
- Are premium energy rigs with advanced safety features worth the higher day rates?
- Who offers the safest drilling services for complex geological settings in the US?
- Typical cost range for advanced rig automation services on mid-size energy projects
- Alternatives to full turnkey drilling solutions for medium-sized exploration companies
- What steps can be taken if a drilling contractor’s safety record doesn’t meet project requirements?
- Automated drilling services vs traditional drilling approaches: pros and cons for reliability
- How do electric drilling rigs compare to diesel-powered rigs for safety and performance?
- What factors impact drilling contractor day rates in US onshore markets?
- Is it cost-effective to invest in contractors that offer predictive drilling analytics?
- How do you resolve common rig downtime issues during directional drilling operations?
- What are the most innovative drilling solutions for improving rig performance in the US energy sector?
- Options for companies needing flexible, short-term drilling capacity without long-term contracts
- Can remote drilling management solutions help optimize fleet performance across multiple basins?
- Which type of drilling rig is best suited for deep horizontal wells in tight formations?
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/hpinc.com"><img src="https://aeo-audit.rezolve.com/us/badges/hpinc.com.svg" alt="Overall score 40 of 100, US AI Visibility Study 2026" width="280" height="64"></a>