For B2B sales and marketing teams, it turns anonymous signals from websites, marketing, and social media into high-intent buyers and scores them against the ICP.
Page title:1eye – AI that turns signals into buyers
Overview
Data updates weekly; see the notes on estimated values Data notes
AI Analysis
Compiled by an LLM based on landing page content; speculative judgments are noted.
B2B teams face large volumes of anonymous traffic and social/market signals, cannot tell who is behind them or whether they are worth following up, making lead qualification costly.
Before
Rely on form fills, manual checks of LinkedIn and CRM records, or purchased third-party data lists, then judge intent by experience.
Now
1eye captures website, market, and social signals, uses AI to resolve identity, enrich background, assess fit, and directly output high-intent buyers.
By comparison
Most similar tools only do website visitor reverse lookup; it emphasizes cross-channel signal aggregation plus ICP/Persona matching scores, offering broader coverage.
Target audience:B2B sales and SDR teams, Growth and marketing operations, Overseas SaaS founder Highlights:Turn anonymous traffic into followable buyers, Automatic scoring by ICP and Persona, Unified signals across websites, marketplaces, and social Willingness to pay:High
Registered in January 2025, about 21,000 monthly visits with -1.6% MoM, in early validation stage, traffic basically flat.
Inferred to be mainly organic search for brand and feature terms, social sharing of the Framer-built site, and founder community promotion.
The moat lies in data accumulation of cross-channel signal graphs and matching models, but the track is crowded; differentiation must come from data scale and integration depth.
No payment channel detected on the page; price clues show $12, $0, $0.05, inferred to be subscription plus free quota or usage-based billing.
Search, backlinks & monetization
Core keywords
anonymous visitor identificationbuyer intent signalsai lead scoringsignal to buyer aiicp matching toolBacklinks & Badges
1eye.applinkedin.comcrunchbase.comPayment channels & pricing
Not detected
{
"domain": "1eye.ai",
"name": "1eye",
"title": "1eye – AI that turns signals into buyers",
"description": "1eye captures anonymous signals across website, market, and social channels — then its AI resolves who's behind them, enriches context, evaluates fit, and matches high-intent buyers to your ICPs and Personas.",
"desc_zh": "For B2B sales and marketing teams, it turns anonymous signals from websites, marketing, and social media into high-intent buyers and scores them against the ICP.",
"cat1": "[\"营销与销售\", \"商业与金融\"]",
"cat2": "[\"AI 线索识别\", \"AI 销售情报\", \"匿名访客解析\"]",
"site_type": "[\"品牌驱动\"]",
"keyword_type": "功能词",
"model_family": null,
"model_version": null,
"status": "正常",
"registered": "2025-01-23",
"rank": 531963,
"visits": 20813,
"visits3": "[20179, 21290, 20813]",
"growth": -2.2,
"dr": 3.5,
"tech": "[\"Framer\"]",
"analytics": "[\"Google Analytics\"]",
"payments": "[]",
"pricing": "[\"$12\", \"$0\", \"$0.05\"]",
"monetization": "[\"订阅制\", \"免费增值\"]",
"monetization_score": 40.9,
"keywords": "[\"anonymous visitor identification\", \"buyer intent signals\", \"ai lead scoring\", \"signal to buyer ai\", \"icp matching tool\"]",
"outbound": "[\"1eye.app\", \"linkedin.com\", \"crunchbase.com\"]",
"badges": "[]",
"seo": "{\"words\": 3643, \"lang\": \"en\", \"internal\": 28, \"outbound\": 3, \"images\": 76, \"images_no_alt\": 60, \"schema\": []}",
"insight": "{\"problem\": \"B2B teams face large volumes of anonymous traffic and social/market signals, cannot tell who is behind them or whether they are worth following up, making lead qualification costly.\", \"before\": \"Rely on form fills, manual checks of LinkedIn and CRM records, or purchased third-party data lists, then judge intent by experience.\", \"now\": \"1eye captures website, market, and social signals, uses AI to resolve identity, enrich background, assess fit, and directly output high-intent buyers.\", \"vs\": \"Most similar tools only do website visitor reverse lookup; it emphasizes cross-channel signal aggregation plus ICP/Persona matching scores, offering broader coverage.\", \"audience\": [\"B2B sales and SDR teams\", \"Growth and marketing operations\", \"Overseas SaaS founder\"], \"hooks\": [\"Turn anonymous traffic into followable buyers\", \"Automatic scoring by ICP and Persona\", \"Unified signals across websites, marketplaces, and social\"], \"pay_willingness\": \"较高\", \"growth\": \"Registered in January 2025, about 21,000 monthly visits with -1.6% MoM, in early validation stage, traffic basically flat.\", \"acquisition\": \"Inferred to be mainly organic search for brand and feature terms, social sharing of the Framer-built site, and founder community promotion.\", \"moat\": \"The moat lies in data accumulation of cross-channel signal graphs and matching models, but the track is crowded; differentiation must come from data scale and integration depth.\", \"money\": \"No payment channel detected on the page; price clues show $12, $0, $0.05, inferred to be subscription plus free quota or usage-based billing.\"}",
"is_sample_revenue": 0,
"is_new": 0,
"reg_relaxed": 0,
"updated_at": "2026-10-18T19:05:51+00:00"
}
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