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Win Visibility in ChatGPT and Gemini Search — 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 Marketing And Advertising →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
skipbot.com ↗	69 match 2 shared topics	Skipbot - AI Search Visibility Platform	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
llmreaderapp.com ↗	69 match 2 shared topics	LLMReader - Your brand visibility in AI	en	marketing-and-advertising	robotsllmsaihumans	emailphone	none
livesov.com ↗	68 match 2 shared topics	Livesov — AI Visibility Tracker \| Track Your Brand on ChatGPT, Perplexity, Gemini & More	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
siteable.ai ↗	68 match 2 shared topics	Siteable — AI Search Visibility for WordPress	en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
myfluxsystems.org ↗	68 match 2 shared topics	AI Visibility Optimization — Get Found in ChatGPT & Google AI \| Flux Systems	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
astiva.ai ↗	68 match 2 shared topics	Competitive Intelligence for AI Search and Visibility \| Astiva AI	India~ en	marketing-and-advertising	robots llmsaihumans	emailphone	none
dotfluxsystems.com ↗	68 match 2 shared topics	AI Visibility Optimization — Get Found in ChatGPT & Google AI \| Flux Systems	United States~ en	marketing-and-advertising	robotsllmsaihumans	emailphone	partial · 8
llmvisibilitytool.com ↗	68 match 2 shared topics	LLM Visibility Tool - Track Brand Mentions in AI & LLM Search	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
skaleddhub.com ↗	67 match 2 shared topics	AI Search Visibility for Service Businesses \| Skaledd Hub	en	marketing-and-advertising WordPress WooCommerce	robotsllmsaihumans	emailphone	none
llmsource.com ↗	67 match 2 shared topics	LLMSource – Optimize Brand Visibility in AI & LLMs	Singapore~ en	marketing-and-advertising	robots llmsaihumans	emailphone	none
llmaudit.ai ↗	67 match 2 shared topics	LLM Audit Tool — Track Brand Visibility in AI Answers	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
pseomatic.app ↗	67 match 2 shared topics	pSeoMatic — Programmatic SEO & AI Search Visibility Platform	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
1so.org ↗	67 match 2 shared topics	1SO - AI Visibility Checker, SEO Tools, and GEO Growth Audits	en	marketing-and-advertising	robots llmsaihumans	emailphone	none
llmtel.com ↗	66 match 2 shared topics	AI Visibility Tool For Brands and Agencies - LLMTel	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
llmtelapp.com ↗	66 match 2 shared topics	AI Visibility Tool For Brands and Agencies - LLMTel	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
llmtelhub.com ↗	66 match 2 shared topics	AI Visibility Tool For Brands and Agencies - LLMTel	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
llmtellabs.com ↗	66 match 2 shared topics	AI Visibility Tool For Brands and Agencies - LLMTel	en	marketing-and-advertising WordPress	robots llmsaihumans	emailphone	none
llmobserver.io ↗	66 match 2 shared topics	LLMObserver - AI Visibility Tracking	en	marketing-and-advertising	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.