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MILG - Ministry of the Interior and Local Government — 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 Government Business →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
bohol.gov.ph ↗	72 match 1 shared topics	Provincial Government of Bohol	en	government-business WordPress WooCommerce	robotsllmsaihumans	emailphone	none
cleargov.com ↗	71 match 1 shared topics	Modern Local Government Budgeting \| ClearGov	en	government-business WordPress	robotsllmsaihumans	email phone	none
turnupcity.com ↗	69 match 1 shared topics	TurnUpCity — Local Government Website Design & Platform	en	government-business WordPress	robotsllmsaihumans	emailphone	none
commerce.gov.sb ↗	69 match 1 shared topics	The Ministry Of Commerce, Industries, Labour and Immigration	en	government-business WordPress WooCommerce	robotsllmsaihumans	emailphone	none
csafe.org ↗	69 match 1 shared topics	CSAFE \| Local Government Investment Pool	United States~ en	government-business WordPress	robotsllmsaihumans	email phone	none
howardcountywebsite.com ↗	68 match 1 shared topics	Howard County Maryland Local Business Directory, Government, Public Schools, Parks, Recreation & Tourism	United States~ en	government-business	robotsllmsaihumans	emailphone	none
minnesotagovernmentauthority.com ↗	68 match 1 shared topics	Minnesota Government: What It Is and Why It Matters \| Minnesota	en	government-business	robotsllmsaihumans	emailphone	none
4webster.com ↗	68 match 1 shared topics	Simplify the government procurement process	en	government-business WordPress WooCommerce	robotsllmsaihumans	emailphone	none
queenannescountywebsite.com ↗	68 match 1 shared topics	Queen Anne’s County Maryland Local Business Directory, Government, Public Schools, Parks, Recreation & Tourism	United States~ en	government-business	robotsllmsaihumans	emailphone	none
mdlobbyisttracker.com ↗	68 match 1 shared topics	Maryland Lobbyist Tracker \| Kress Hammen Government Affairs	en	government-business	robotsllmsaihumans	emailphone	none
bidnet.com ↗	68 match 1 shared topics	Government Bids Opportunities and RFP \| BidNet Direct	en	government-business	robotsllmsaihumans	emailphone	none
bidnetdirect.com ↗	68 match 1 shared topics	Government Bids Opportunities and RFP \| BidNet Direct	en	government-business	robotsllmsaihumans	emailphone	none
askdcaa.com ↗	68 match 1 shared topics	McNew and Associates - Government Contract Solutions	en	government-business	robotsllmsaihumans	emailphone	none
quickformsph.com ↗	68 match 1 shared topics	QuickFormsPH — Fill Government Forms Fast	en	government-business	robotsllmsaihumans	emailphone	none
micikstrategies.com ↗	68 match 1 shared topics	Micik Strategies – Government Relations	en	government-business WordPress	robotsllmsaihumans	emailphone	none
3dnetworkscorp.com ↗	68 match 1 shared topics	3D Networks - a full service government and public affairs firm	en	government-business WordPress	robotsllmsaihumans	emailphone	none
gs2global.com ↗	68 match 1 shared topics	GS2 - Government Solutions and Services	United States~ en	government-business Squarespace Magento	robotsllmsaihumans	emailphone	none
grscanner.com ↗	67 match 1 shared topics	GR Scanner \| Emergency Intelligence for Newsrooms & Government	en	government-business	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.