Attensira Logo
Attensira
Q1 2026 Report

Mining & Energy Procurement Now Starts with AI

When project developers need drilling contractors or mineral suppliers, they ask AI before they ask anyone else.

41% of mining industry analysts now consult AI for company research and commodity analysis

Executive Summary

AI Visibility in Mining, Quarrying & Oil/Gas Extraction

Our analysis of 20 leading mining and extraction brands reveals that global leaders like BHP, Rio Tinto, and Freeport-McMoRan dominate AI recommendations, while mid-tier miners and specialty extraction companies average just 28% visibility. This report examines the transparency, ESG, and content factors that drive mining AI visibility.

The mining and energy sector relies on complex B2B relationships where trust, capability, and safety records drive purchasing decisions. As procurement professionals and project managers increasingly use AI assistants to research contractors, equipment suppliers, and service providers, companies without AI visibility are being excluded from consideration before the conversation even begins. Attensira helps mining and energy businesses ensure they are accurately represented and consistently recommended across all major AI platforms.

34%

of mining and energy analysts now use AI tools when researching companies and commodities

Industry estimate

47%

of oilfield service buyers have asked AI to identify potential contractors

Attensira research

1 in 3

mining RFPs include suppliers that were first identified through AI-assisted research

Industry estimate

62%

of mid-tier miners and service companies are absent from AI recommendations entirely

Attensira research

What AI platforms say

What are the largest copper mining companies in the world?

Real responses from ChatGPT, Claude, and Google AI.

OpenAI
ChatGPT

The largest copper producers globally include Freeport-McMoRan (US), Codelco (Chile, state-owned), BHP (Australia), and Southern Copper (Grupo México). Glencore and Rio Tinto also have significant copper mining operations...

Brand mentioned: Freeport-McMoRan, Codelco, BHP, Glencore

Claude
Claude

Major copper mining companies by production include Codelco, Freeport-McMoRan, BHP, and Glencore. Southern Copper (Grupo México) and First Quantum Minerals are also significant producers. The industry is increasingly focused on ESG practices and sustainable extraction...

Brand mentioned: Codelco, Freeport-McMoRan, BHP, Glencore

Perplexity
Perplexity

The world's largest copper miners by annual production are Codelco (1.6Mt), Freeport-McMoRan (1.5Mt), BHP (1.4Mt), and Glencore (1.1Mt). According to S&P Global, these four companies account for approximately 35% of global copper output [1][2]...

Brand mentioned: Codelco, Freeport-McMoRan, BHP, Glencore

Gemini
Google AI

Leading copper mining companies include Freeport-McMoRan (Grasberg mine), BHP (Olympic Dam, Escondida), and Codelco (El Teniente, Chuquicamata). Rio Tinto and Anglo American also operate major copper projects...

Brand mentioned: Freeport-McMoRan, BHP, Codelco, Rio Tinto

Benchmarks

Who's Winning in Mining, Quarrying & Oil/Gas Extraction?

Top mining, quarrying & oil/gas extraction brands ranked by how often ChatGPT, Claude, and Google AI recommend them.

Winners

RankCompanyTop PlatformScore
1
slb.com logo
Schlumbergerslb.com
ChatGPT94%
2
halliburton.com logo
Halliburtonhalliburton.com
Perplexity91%
3
bakerhughes.com logo
Baker Hughesbakerhughes.com
ChatGPT89%
4
chevron.com logo
Chevronchevron.com
Claude88%
5
exxonmobil.com logo
ExxonMobilexxonmobil.com
ChatGPT87%
6
bhp.com logo
BHPbhp.com
Perplexity86%
7
riotinto.com logo
Rio Tintoriotinto.com
Claude85%
8
fcx.com logo
Freeport-McMoRanfcx.com
ChatGPT82%
9
noblecorp.com logo
Noble Corporationnoblecorp.com
Perplexity79%
10
valaris.com logo
Valarisvalaris.com
ChatGPT76%

Underperforming

These brands appear less frequently or less prominently in AI responses.

RankCompanyTop PlatformScore
1
patterson-uti.com logo
Patterson-UTI Energypatterson-uti.com
Perplexity42%
2
nabors.com logo
Nabors Industriesnabors.com
ChatGPT38%
3
deepwater.com logo
Transoceandeepwater.com
ChatGPT45%
4
ensignenergy.com logo
Ensign Energy Servicesensignenergy.com
Claude31%
5
precisiondrilling.com logo
Precision Drillingprecisiondrilling.com
Gemini35%
6
hecla.com logo
Hecla Mininghecla.com
Perplexity41%
7
coeur.com logo
Coeur Miningcoeur.com
ChatGPT36%
8
kinross.com logo
Kinross Goldkinross.com
Claude48%
9
lundinmining.com logo
Lundin Mininglundinmining.com
Perplexity39%
10
nov.com logo
NOVnov.com
ChatGPT52%

Don't see your company here?

Start monitoring how ChatGPT, Claude, and Google AI mention your brand when people ask about mining, quarrying & oil/gas extraction.

Check Your AI Visibility

State of AI Visibility in Mining & Extraction

Our analysis of 20 major mining and extraction brands reveals that global mining conglomerates and energy majors dominate AI-generated industry recommendations, while 71% of mid-tier miners, specialty extraction companies, and mining service providers score below 32 — losing investor attention and partnership opportunities as AI reshapes industry research.

Industry Research Shifting to AI

41% of mining industry analysts and investors now consult AI when researching mining companies and commodity trends. Mining brands invisible to AI miss investor attention and partnership opportunities.

Supplier Discovery Gap

Mining equipment buyers and procurement teams increasingly use AI for vendor evaluation. Companies with high AI visibility see 2.1x more inbound inquiries from potential partners and suppliers.

ESG Narrative Matters

Mining companies publishing detailed ESG and sustainability content score 2.8x higher in AI visibility. AI models heavily weight environmental and social governance transparency when recommending mining brands.

What Top Mining, Quarrying & Oil/Gas Extraction Brands Do Differently

Key differences between the top-performing and underperforming brands in AI visibility.

Operational Transparency

Winners

Top miners publish detailed operational data — production volumes, reserve estimates, mine profiles, and development timelines — that AI models cite in industry analysis.

Underperformers

Underperformers share only mandatory disclosures without accessible operational summaries, making them invisible in AI industry queries.

ESG and Sustainability Content

Winners

Winners publish comprehensive sustainability reports, carbon targets, community impact data, and water management practices — critical content AI increasingly weights.

Underperformers

Low-scoring companies have minimal ESG content, creating a trust gap AI models reflect in their recommendations.

Commodity Expertise Content

Winners

High-visibility miners create educational content about their commodities — market outlooks, application trends, processing techniques — establishing authority AI references.

Underperformers

Underperformers publish no commodity analysis, limiting their AI presence to basic corporate descriptions.

Investor Communication Quality

Winners

Top brands produce accessible annual reports, investor presentations, and fact sheets that AI can parse and summarize for analyst queries.

Underperformers

Low-visibility companies rely solely on SEC filings without accessible formats AI can easily consume.

Technology and Innovation Content

Winners

Winners showcase mining technology adoption, automation initiatives, and innovation programs that position them as modern, forward-thinking operations.

Underperformers

Underperformers lack technology content, appearing outdated in AI characterizations of the industry.

What to focus on

Key industry metrics

Verified metrics formatted for easy citation.

28%

average AI visibility score for mid-tier mining companies — vs. 85+ for majors like BHP and Rio Tinto

According to Attensira research, 28% average AI visibility score for mid-tier mining companies — vs. 85+ for majors like BHP and Rio Tinto.

71%

of mining and energy companies have never checked what AI says about them

According to Industry estimate, 71% of mining and energy companies have never checked what AI says about them.

44%

of investors say they use AI assistants when screening mining companies for due diligence

According to Industry estimate, 44% of investors say they use AI assistants when screening mining companies for due diligence.

3 in 5

AI responses about mining companies cite ESG data as a key factor in their assessment

According to Attensira research, 3 in 5 AI responses about mining companies cite ESG data as a key factor in their assessment.

Strategy

Your AI Visibility Action Plan for Mining, Quarrying & Oil/Gas Extraction

What to focus on to get your mining, quarrying & oil/gas extraction brand recommended more often by AI.

Operational Transparency

Publish production volumes, reserve data, mine profiles, and project timelines in accessible formats. AI can only recommend what it can verify — if your data lives solely in SEC filings, AI skips you.

ESG and Safety Record

Detailed sustainability data, emissions targets, water management, and TRIR safety records are what AI weighs most when characterizing mining companies. Missing ESG content is a visibility killer.

Commodity Authority

Publish market outlooks, processing insights, and supply chain analysis for your key commodities. Companies that educate about their commodities become the sources AI cites.

Investor-Grade Digital Presence

Make annual reports, fact sheets, and project summaries available in HTML, not just PDF. Investors and analysts asking AI about mining companies benefit from data AI can actually parse.

Step-by-Step Playbook

1

Ask AI About Your Company and Commodities

Query ChatGPT, Claude, and Google AI with what analysts actually ask: 'top copper producers,' 'best drilling contractors for deepwater,' 'mining companies with strong ESG.' Note where you appear and where you don't.

Track your prompts
2

Publish Mine and Project Profiles as Web Pages

Turn your key operational data into accessible web content — not just PDFs. Production volumes, reserve estimates, project timelines, and equipment specs should be in HTML that AI can parse.

3

Make Your ESG Data Findable

Create standalone sustainability pages with emissions data, water management, safety records (TRIR), and community programs. AI heavily weights ESG when describing mining companies.

4

Write About Your Commodities

Publish market outlooks, processing explainers, and end-use applications for your key minerals. Companies that produce commodity-level content become reference sources for AI.

5

Convert Investor Materials to Web Content

Turn annual reports and fact sheets into scannable HTML pages. AI doesn't read your 200-page PDF annual report, but it will reference a well-structured web summary.

6

Track How AI Covers Your Competitors

Monitor which companies AI recommends for your commodities, basins, and service areas. Identify what content they have that you're missing.

Track competitors

Quick-Reference Checklist

Query ChatGPT, Claude, and Google AI for your company name, commodities, and basin/region — record every mention
Create an HTML web page for each mine or major project with production data and reserve estimates
Publish a standalone sustainability page with emissions, water use, TRIR, and community data
Write a market outlook for each commodity you produce (copper, gold, lithium, etc.)
Convert your annual report highlights into a scannable web page, not just a PDF download
Add Organization schema with operational data, certifications, and safety records
Maintain current profiles on mining databases (Mining.com, InfoMine) and energy directories
Publish content about your technology adoption — autonomous haul trucks, remote monitoring, etc.
Create a 'Why [Your Company]' page that answers the question investors and partners actually ask AI
Get cited in at least one mining journal or industry publication per quarter
Set up quarterly AI visibility monitoring for your top commodities and competitor companies
Document your reclamation and closure plans — AI increasingly includes this in mining company profiles

How We Score AI Visibility

Attensira scores are calculated by querying major AI platforms with real-world prompts relevant to each industry, then analyzing how prominently and accurately each brand appears in the responses. Scores range from 0 to 100.

Platform Coverage

How consistently a brand appears across ChatGPT, Claude, and Google AI.

Response Quality

Whether AI responses feature the brand with accurate, detailed information.

Citation Frequency

How often the brand is cited as a source or recommendation in AI outputs.

Brand Sentiment

The tone and framing AI platforms use when mentioning the brand.

Explore Mining, Quarrying & Oil/Gas Extraction Sub-Industries

Discover AI visibility solutions for specific sectors within mining, quarrying & oil/gas extraction.

Oil & Gas Extraction

AI visibility for oil and gas extraction companies including crude petroleum, natural gas, and natural gas liquid extraction operations.

Coming soon

Mining (except Oil & Gas)

AI visibility for coal mining, metal ore mining, and nonmetallic mineral mining and quarrying operations.

Coming soon

Support Activities for Mining

AI visibility for businesses providing support services to mining, oil and gas extraction, and quarrying operations.

Coming soon
FAQ

Frequently Asked Questions

Want to track your AI visibility in Mining, Quarrying & Oil/Gas Extraction?
See how mining, quarrying & oil/gas extraction brands show up in ChatGPT, Claude, and Google AI.
Contact Us

Get your brand recommended by

OpenAI
ChatGPT

See exactly when and how AI platforms mention your mining, quarrying & oil/gas extraction brand — and what they recommend instead.