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LEEV INMOTION – L’avenir de la mobilité électrique en Afrique — 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 Green Vehicles →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
am-group.ch ↗	68 match 1 shared topics	Alpha Mobility Group \| Véhicule électrique	Switzerland fr	green-vehicles Wix	robots llmsaihumans	emailphone	none
sga-mercure.com ↗	68 match 1 shared topics	SGA Mobility fabrication de bornes de recharge électrique	fr	green-vehicles	robotsllmsaihumans	email phone	none
avenueelectrique.ca ↗	67 match 1 shared topics	Avenues électriques \| Roulez Électrique - Votre référence en électromobilité au Québec	Canada fr	green-vehicles WordPress Shopify	robotsllmsaihumans	email phone	none
htt-concept.com ↗	67 match 1 shared topics	HTT Concept - Conception et modification de véhicules électriques	fr	green-vehicles	robotsllmsaihumans	emailphone	none
miss-kw.com ↗	67 match 1 shared topics	Miss-kW.com - L'électromobilité sans langue de bois par Miss280ch.com	fr	green-vehicles WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cheap-pi.com ↗	67 match 1 shared topics	CheapPi - Mobilité engagée	fr	green-vehicles	robotsllmsaihumans	emailphone	none
cheappi.com ↗	67 match 1 shared topics	CheapPi - Mobilité engagée	fr	green-vehicles	robotsllmsaihumans	emailphone	none
guide-ve.com ↗	66 match 1 shared topics	Le Guide de la Voiture Electrique	fr	green-vehicles WordPress	robotsllmsaihumans	emailphone	none
hybride-rechargeable.com ↗	66 match 1 shared topics	Véhicule électrique charge photovoltaïque en autoconsommation	fr	green-vehicles WordPress	robotsllmsaihumans	emailphone	none
e-smile.fr ↗	66 match 1 shared topics	Z-E-N - Recharge électrique pour poids lourds	France fr	green-vehicles WordPress WooCommerce	robotsllmsaihumans	emailphone	none
advenir.mobi ↗	66 match 1 shared topics	Le programme de financement de bornes de recharge pour véhicule électrique - Advenir	fr	green-vehicles WordPress	robotsllmsaihumans	emailphone	none
dromolib.fr ↗	66 match 1 shared topics	Dromolib - Agence locale de mobilité	France fr	green-vehicles WordPress WooCommerce	robotsllmsaihumans	emailphone	none
csmoto.fr ↗	65 match 1 shared topics	Conseils et Services MOTORISATION ELECTRIQUE DC é	France fr	green-vehicles	robotsllmsaihumans	emailphone	none
e-totem.fr ↗	65 match 1 shared topics	E-TOTEM - Service de recharge pour véhicules électriques	France fr	green-vehicles	robotsllmsaihumans	emailphone	none
daisa.fr ↗	65 match 1 shared topics	DAISA – Bornes de recharge pour véhicules électrique – Commercialisation – Consultant – Conseil	France fr	green-vehicles WordPress	robotsllmsaihumans	emailphone	none
urbanzelec.com ↗	65 match 1 shared topics	Urban Z Elec : véhicules électriques à La Rochelle, Bordeaux, Fontenay	fr	green-vehicles WordPress WooCommerce	robotsllmsaihumans	emailphone	none
bornedecharge.ca ↗	65 match 1 shared topics	Vente et installation de bornes de recharge pour véhicules électriques et hybrides branchables - Bornes de recharge	Canada fr	green-vehicles WordPress WooCommerce	robotsllmsaihumans	email phone	none
bornederecharge.ca ↗	65 match 1 shared topics	Vente et installation de bornes de recharge pour véhicules électriques et hybrides branchables - Bornes de recharge	Canada fr	green-vehicles WordPress WooCommerce	robotsllmsaihumans	email phone	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.