Schlumberger vs Astro

Side-by-side comparison of AI visibility scores, market position, and capabilities

Schlumberger leads in AI visibility (80 vs 22)

Schlumberger

LeaderEnergy & Utilities

Oilfield Services

Schlumberger / SLB (SLB) reported ~$36.3B revenue in FY2024. World's largest oilfield services company providing drilling, completion, production, and digital solutions globally. HQ: Houston / Paris.

AI VisibilityBeta
Overall Score
A80
Category Rank
#1 of 1
AI Consensus
62%
Trend
stable
Per Platform
ChatGPT
71
Perplexity
88
Gemini
79

About

SLB (formerly Schlumberger) is the world's largest oilfield services company, providing technology, information solutions, and integrated project management services for the global oil and gas industry. Founded in 1926 by brothers Conrad and Marcel Schlumberger, who pioneered electrical resistivity logging to identify oil-bearing rock formations, the company has grown into a comprehensive oilfield technology provider with operations in over 120 countries. In 2022, the company rebranded to SLB to signal its transformation beyond its oilfield services heritage.

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Astro

EmergingClimate & Energy

Energy Services

YC-backed AI renewable energy developer finding profitable land/grid connections for solar and wind projects before competitors; addressing the 80-90% early-stage project failure rate as US needs 2,000 GW new capacity by 2035 for AI data centers.

AI VisibilityBeta
Overall Score
D22
Category Rank
#2 of 3
AI Consensus
74%
Trend
stable
Per Platform
ChatGPT
20
Perplexity
29
Gemini
29

About

Astro is a United States-based AI-powered renewable energy development company — backed by Y Combinator — building the first AI platform that de-risks and accelerates the early-stage development of solar, wind, and battery storage energy projects for the US market, identifying profitable land sites and grid connections for new gigawatt-scale renewable projects that traditional energy developers miss. Astro addresses a critical bottleneck in the US energy transition: the country needs an estimated 2,000 gigawatts of new renewable generation capacity by 2035 to power AI data centers, electric vehicles, and building electrification — but 80-90% of renewable energy projects fail in early development due to unexpected interconnection costs and grid constraints that developers only discover after spending months and millions on site acquisition and environmental studies.

Full profile

AI Visibility Head-to-Head

80
Overall Score
22
#1
Category Rank
#2
62
AI Consensus
74
stable
Trend
stable
71
ChatGPT
20
88
Perplexity
29
79
Gemini
29
78
Claude
30
75
Grok
24

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