TideRankGraylark's frontline visual intelligence platform that turns images into sortable investigative leads across three categories—locations, vehicles, and authenticity—without needing metadata.
Page title:Raven | Frontline Visual Intelligence by Graylark
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.
Investigators, journalists, risk control and OSINT analysts get an image and need to determine the shooting location, vehicle model, and whether the image has been tampered with, but the original image often lacks EXIF metadata.
Before
Rely on manually comparing street views, maps, and vehicle features, checking images one by one, which is time-consuming and depends on personal experience; authenticity judgments are mostly by naked eye or scattered tools.
Now
Upload an image to get location, vehicle, and authenticity clues ranked by credibility, turning manual investigation into a prioritized investigation checklist.
By comparison
Most similar tools offer only a single capability (geolocation or deepfake detection), while Raven combines three types of clues into ranked results and emphasizes that it does not rely on metadata.
Target audience:Open-source intelligence and investigative journalists, Insurance and financial risk control personnel, Law enforcement and security teams Highlights:Locate where a photo was taken even without metadata, A single upload simultaneously provides three types of clues: location, vehicles, and authenticity, Results are ranked by credibility and point directly to the next investigative step Willingness to pay:High
Traffic is about 10,000 visits, down 14.7% month-over-month; the domain was registered in 2026-02, making it an early-stage site in cold start or brand awareness building, with a small traffic base and high volatility.
Presumably driven mainly by natural search for brand terms and feature terms such as “image geolocation/authenticity detection,” combined with demo booking conversions for the investigation and security industries; the page has no pricing page or payment entry, so it may be sales-driven.
The moat lies in the accuracy of visual geolocation and forensic models and the quality of clue ranking, as well as data accumulation for professional investigation scenarios; however, competition in this field is increasing, and single-point capabilities are easy to replicate.
No payment channel was detected on the page; the only pricing clue is $10.7, possibly a starting price per use or per credit; combined with “Book a demo,” it is presumed to be mainly subscription-based or custom enterprise quotes.
Search, backlinks & monetization
Core keywords
image geolocation aifind where a photo was takenimage authenticity detectionvisual intelligence platformidentify car from imageBacklinks & Badges
withraven.aix.comlinkedin.comPayment channels & pricing
Not detected
{
"domain": "withraven.ai",
"name": "Raven",
"title": "Raven | Frontline Visual Intelligence by Graylark",
"description": "Raven is Graylark's frontline visual intelligence platform. Turn images into ranked investigative leads for location, vehicles, and authenticity, with no metadata required.",
"desc_zh": "Graylark's frontline visual intelligence platform that turns images into sortable investigative leads across three categories—locations, vehicles, and authenticity—without needing metadata.",
"cat1": "[\"AI 检测与人性化\", \"研究与数据\"]",
"cat2": "[\"图像取证与真伪检测\", \"图像地理定位\", \"视觉情报分析\"]",
"site_type": "[\"品牌驱动\"]",
"keyword_type": "功能词",
"model_family": null,
"model_version": null,
"status": "正常",
"registered": "2026-02-04",
"rank": 999555,
"visits": 10077,
"visits3": "[12186, 12148, 10077]",
"growth": -17.0,
"dr": 14.9,
"tech": "[]",
"analytics": "[\"Google Analytics\"]",
"payments": "[]",
"pricing": "[\"$10.7\"]",
"monetization": "[\"订阅制\", \"免费增值\"]",
"monetization_score": 29.0,
"keywords": "[\"image geolocation ai\", \"find where a photo was taken\", \"image authenticity detection\", \"visual intelligence platform\", \"identify car from image\"]",
"outbound": "[\"withraven.ai\", \"x.com\", \"linkedin.com\"]",
"badges": "[]",
"seo": "{\"words\": 1020, \"lang\": \"en\", \"internal\": 58, \"outbound\": 3, \"images\": 15, \"images_no_alt\": 0, \"schema\": [\"Organization\", \"ImageObject\", \"Person\", \"WebSite\", \"SoftwareApplication\", \"WebPage\", \"BreadcrumbList\", \"ListItem\"]}",
"insight": "{\"problem\": \"Investigators, journalists, risk control and OSINT analysts get an image and need to determine the shooting location, vehicle model, and whether the image has been tampered with, but the original image often lacks EXIF metadata.\", \"before\": \"Rely on manually comparing street views, maps, and vehicle features, checking images one by one, which is time-consuming and depends on personal experience; authenticity judgments are mostly by naked eye or scattered tools.\", \"now\": \"Upload an image to get location, vehicle, and authenticity clues ranked by credibility, turning manual investigation into a prioritized investigation checklist.\", \"vs\": \"Most similar tools offer only a single capability (geolocation or deepfake detection), while Raven combines three types of clues into ranked results and emphasizes that it does not rely on metadata.\", \"audience\": [\"Open-source intelligence and investigative journalists\", \"Insurance and financial risk control personnel\", \"Law enforcement and security teams\"], \"hooks\": [\"Locate where a photo was taken even without metadata\", \"A single upload simultaneously provides three types of clues: location, vehicles, and authenticity\", \"Results are ranked by credibility and point directly to the next investigative step\"], \"pay_willingness\": \"较高\", \"growth\": \"Traffic is about 10,000 visits, down 14.7% month-over-month; the domain was registered in 2026-02, making it an early-stage site in cold start or brand awareness building, with a small traffic base and high volatility.\", \"acquisition\": \"Presumably driven mainly by natural search for brand terms and feature terms such as “image geolocation/authenticity detection,” combined with demo booking conversions for the investigation and security industries; the page has no pricing page or payment entry, so it may be sales-driven.\", \"moat\": \"The moat lies in the accuracy of visual geolocation and forensic models and the quality of clue ranking, as well as data accumulation for professional investigation scenarios; however, competition in this field is increasing, and single-point capabilities are easy to replicate.\", \"money\": \"No payment channel was detected on the page; the only pricing clue is $10.7, possibly a starting price per use or per credit; combined with “Book a demo,” it is presumed to be mainly subscription-based or custom enterprise quotes.\"}",
"is_sample_revenue": 0,
"is_new": 0,
"reg_relaxed": 0,
"updated_at": "2026-10-18T19:05:51+00:00"
}
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