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Mithras Analytics – Insights into the gas and LNG markets — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Power And Energy Industry →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
7xanalytics.com ↗	68 match 1 shared topics	7X Analytics – Power System and Power Market Consulting	en	power-and-energy-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
batteryinsights.com ↗	66 match 1 shared topics	Battery Insights Inc. - HOME	en	power-and-energy-industry Weebly	robotsllmsaihumans	emailphone	none
repathanalytics.com ↗	65 match 1 shared topics	RePath Analytics	en	power-and-energy-industry WordPress	robots llmsaihumans	emailphone	none
ansa-data.com ↗	65 match 1 shared topics	ANSA Data Analytics	en	power-and-energy-industry WordPress	robotsllmsaihumans	emailphone	none
ericgarcia.net ↗	65 match 1 shared topics	Eric Garcia – Service hand to the oil & gas industry	en	power-and-energy-industry WordPress	robotsllmsaihumans	emailphone	none
faroanalytics.com ↗	65 match 1 shared topics	Home - Faro Analytics	en	power-and-energy-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
reoil.com ↗	65 match 1 shared topics	Navigating the Shifting Sands of the Oil Industry: Insights and Innovations	en	power-and-energy-industry	robotsllmsaihumans	emailphone	none
dartoilandgas.com ↗	64 match 1 shared topics	Dartoilandgas - Your trusted source for oil and gas industry insights	en	power-and-energy-industry	robotsllmsaihumans	emailphone	none
omnioil.app ↗	64 match 1 shared topics	OmniOil Analytics \| Hydrocarbon telemetry and fiscalization	en	power-and-energy-industry	robotsllmsaihumans	emailphone	none
cuttermillenergy.com ↗	64 match 1 shared topics	Cuttermill Energy Analytics	en	power-and-energy-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
evcam.cloud ↗	64 match 1 shared topics	Revolutionizing Visual Analytics \| EV	en	power-and-energy-industry Umbraco	robotsllmsaihumans	emailphone	none
evcam.net ↗	64 match 1 shared topics	Revolutionizing Visual Analytics \| EV	en	power-and-energy-industry Umbraco	robotsllmsaihumans	emailphone	none
evcam.org ↗	64 match 1 shared topics	Revolutionizing Visual Analytics \| EV	en	power-and-energy-industry Umbraco	robotsllmsaihumans	emailphone	none
britned.com ↗	64 match 1 shared topics	BritNed \| Access the UK and NL Electricity Markets	en	power-and-energy-industry WordPress	robotsllmsaihumans	emailphone	none
renew-analytics.com ↗	64 match 1 shared topics	Renew Analytics – Empowering Energy and Investment Strategies with intuitive decision-making through Real-Time Data	en	power-and-energy-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
spudwire.com ↗	64 match 1 shared topics	SpudWire – We turn messy public energy data into trustworthy, actionable insights	en	power-and-energy-industry WordPress	robotsllmsaihumans	emailphone	partial · 8
hpspve.com ↗	64 match 1 shared topics	Hpsp ve – Delivering Integrated Services to the Oil & Gas Industry	en	power-and-energy-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none
eastwestenergy.ai ↗	64 match 1 shared topics	EAST WEST ENERGY – Leading the Data Center Revolution with Insight, Integration, and Strategy	en	power-and-energy-industry WordPress WooCommerce	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.