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.
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
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
Real responses from ChatGPT, Claude, and Google AI.
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
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
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
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
Top mining, quarrying & oil/gas extraction brands ranked by how often ChatGPT, Claude, and Google AI recommend them.
| Rank | Company | Top Platform | Score |
|---|---|---|---|
| 1 | Schlumbergerslb.com | ChatGPT | 94% |
| 2 | Halliburtonhalliburton.com | Perplexity | 91% |
| 3 | Baker Hughesbakerhughes.com | ChatGPT | 89% |
| 4 | Chevronchevron.com | Claude | 88% |
| 5 | ExxonMobilexxonmobil.com | ChatGPT | 87% |
| 6 | BHPbhp.com | Perplexity | 86% |
| 7 | Rio Tintoriotinto.com | Claude | 85% |
| 8 | Freeport-McMoRanfcx.com | ChatGPT | 82% |
| 9 | Noble Corporationnoblecorp.com | Perplexity | 79% |
| 10 | Valarisvalaris.com | ChatGPT | 76% |
These brands appear less frequently or less prominently in AI responses.
| Rank | Company | Top Platform | Score |
|---|---|---|---|
| 1 | Patterson-UTI Energypatterson-uti.com | Perplexity | 42% |
| 2 | Nabors Industriesnabors.com | ChatGPT | 38% |
| 3 | Transoceandeepwater.com | ChatGPT | 45% |
| 4 | Ensign Energy Servicesensignenergy.com | Claude | 31% |
| 5 | Precision Drillingprecisiondrilling.com | Gemini | 35% |
| 6 | Hecla Mininghecla.com | Perplexity | 41% |
| 7 | Coeur Miningcoeur.com | ChatGPT | 36% |
| 8 | Kinross Goldkinross.com | Claude | 48% |
| 9 | Lundin Mininglundinmining.com | Perplexity | 39% |
| 10 | NOVnov.com | ChatGPT | 52% |
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.
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.
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.
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.
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.
Key differences between the top-performing and underperforming brands in AI visibility.
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.
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.
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.
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.
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.
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.
What to focus on to get your mining, quarrying & oil/gas extraction brand recommended more often by AI.
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.
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.
Publish market outlooks, processing insights, and supply chain analysis for your key commodities. Companies that educate about their commodities become the sources AI cites.
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.
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 →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.
Create standalone sustainability pages with emissions data, water management, safety records (TRIR), and community programs. AI heavily weights ESG when describing mining companies.
Publish market outlooks, processing explainers, and end-use applications for your key minerals. Companies that produce commodity-level content become reference sources for AI.
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.
Monitor which companies AI recommends for your commodities, basins, and service areas. Identify what content they have that you're missing.
Track competitors →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.
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See exactly when and how AI platforms mention your mining, quarrying & oil/gas extraction brand — and what they recommend instead.