TideRankHelps brands and agencies track and optimize exposure and citations in AI answers such as ChatGPT, Claude, and Gemini, and trace AI traffic back to revenue.
Page title:Trakkr | AI Visibility Platform for Brands & Agencies
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.
More and more buyers ask AI before placing an order, but brands do not know how they are mentioned in answers from ChatGPT, Claude, and Gemini, which sources are cited, or how much the traffic brought by AI is worth.
Before
Relying on manually asking questions across several models and taking screenshots, or using traditional SEO ranking tools, only shows search positions, not the cited sources and conversions in AI answers.
Now
Track citations across models, brand perception, and competitor performance in one dashboard, get an actionable improvement checklist, and trace AI visitors all the way to revenue.
By comparison
Similar products give one vague visibility score; this one emphasizes verifiable evidence and an action playbook, and additionally attributes AI traffic to revenue.
Target audience:Marketing and growth leads at brands expanding overseas, SEO / content marketing teams, Marketing agencies serving brands Highlights:Goes beyond scores to give actionable improvement strategies, Citation evidence can be verified item by item, Traces AI visitors back to actual revenue Willingness to pay:Medium
Launched around May 2025; estimated visits about 75,000, roughly flat month over month (-0.4%), in an early accumulation stage and not yet in clear scaling.
Inferred to rely mainly on brand terms and content/SEO related to AI search visibility, plus community and social media distribution aimed at marketing audiences; no obvious paid advertising signals on the page.
The moat lies in continuous collection of cross-model citation data and the attribution chain, plus the accumulated industry playbook; single-point features are easy to copy, while data accumulation and embedding into customer workflows are the main moats.
The page has simple pricing and mentions upgrading with scale; price clues include small amounts such as $15, $12, $6, $2, and $1, suggesting tiered subscriptions starting at a low price; no payment channels were detected.
Search, backlinks & monetization
Core keywords
ai visibility platformtrakkrtrack brand citations in chatgptai search visibility trackingai referral traffic to revenueBacklinks & Badges
futurocorp.comlinkedin.comPayment channels & pricing
Not detected
{
"domain": "trakkr.ai",
"name": "Trakkr",
"title": "Trakkr | AI Visibility Platform for Brands & Agencies",
"description": "AI is rewriting discovery. Trakkr tells you what to do about it. Track citations, perception, competitors, and actions across ChatGPT, Claude, Gemini,...",
"desc_zh": "Helps brands and agencies track and optimize exposure and citations in AI answers such as ChatGPT, Claude, and Gemini, and trace AI traffic back to revenue.",
"cat1": "[\"营销与销售\", \"研究与数据\"]",
"cat2": "[\"AI 搜索可见性监测\", \"AI 流量归因分析\", \"竞品与引用追踪\"]",
"site_type": "[\"品牌驱动\"]",
"keyword_type": "品牌词",
"model_family": null,
"model_version": null,
"status": "正常",
"registered": "2025-05-04",
"rank": 174249,
"visits": 75118,
"visits3": "[60454, 75457, 75118]",
"growth": -0.4,
"dr": 49.1,
"tech": "[]",
"analytics": "[\"Google Analytics\"]",
"payments": "[]",
"pricing": "[\"$15\", \"$12\", \"$6\", \"$2\", \"$1\", \"$15.17\"]",
"monetization": "[\"订阅制\", \"免费增值\"]",
"monetization_score": 44.3,
"keywords": "[\"ai visibility platform\", \"trakkr\", \"track brand citations in chatgpt\", \"ai search visibility tracking\", \"ai referral traffic to revenue\"]",
"outbound": "[\"futurocorp.com\", \"linkedin.com\"]",
"badges": "[]",
"seo": "{\"words\": 3280, \"lang\": \"en\", \"internal\": 130, \"outbound\": 2, \"images\": 124, \"images_no_alt\": 54, \"schema\": [\"Organization\", \"ImageObject\", \"Person\", \"Place\", \"PostalAddress\", \"ContactPoint\", \"QuantitativeValue\", \"WebSite\", \"SearchAction\", \"EntryPoint\", \"ReadAction\", \"WebPage\", \"Product\", \"SoftwareApplication\", \"AggregateOffer\", \"Offer\", \"UnitPriceSpecification\", \"BusinessAudience\", \"PropertyValue\", \"CreativeWork\", \"DataCatalog\", \"FAQPage\", \"Question\", \"Answer\", \"ResearchProject\", \"ItemList\", \"ListItem\"]}",
"insight": "{\"problem\": \"More and more buyers ask AI before placing an order, but brands do not know how they are mentioned in answers from ChatGPT, Claude, and Gemini, which sources are cited, or how much the traffic brought by AI is worth.\", \"before\": \"Relying on manually asking questions across several models and taking screenshots, or using traditional SEO ranking tools, only shows search positions, not the cited sources and conversions in AI answers.\", \"now\": \"Track citations across models, brand perception, and competitor performance in one dashboard, get an actionable improvement checklist, and trace AI visitors all the way to revenue.\", \"vs\": \"Similar products give one vague visibility score; this one emphasizes verifiable evidence and an action playbook, and additionally attributes AI traffic to revenue.\", \"audience\": [\"Marketing and growth leads at brands expanding overseas\", \"SEO / content marketing teams\", \"Marketing agencies serving brands\"], \"hooks\": [\"Goes beyond scores to give actionable improvement strategies\", \"Citation evidence can be verified item by item\", \"Traces AI visitors back to actual revenue\"], \"pay_willingness\": \"中等\", \"growth\": \"Launched around May 2025; estimated visits about 75,000, roughly flat month over month (-0.4%), in an early accumulation stage and not yet in clear scaling.\", \"acquisition\": \"Inferred to rely mainly on brand terms and content/SEO related to AI search visibility, plus community and social media distribution aimed at marketing audiences; no obvious paid advertising signals on the page.\", \"moat\": \"The moat lies in continuous collection of cross-model citation data and the attribution chain, plus the accumulated industry playbook; single-point features are easy to copy, while data accumulation and embedding into customer workflows are the main moats.\", \"money\": \"The page has simple pricing and mentions upgrading with scale; price clues include small amounts such as $15, $12, $6, $2, and $1, suggesting tiered subscriptions starting at a low price; no payment channels were detected.\"}",
"is_sample_revenue": 0,
"is_new": 0,
"reg_relaxed": 0,
"updated_at": "2026-10-18T19:05:51+00:00"
}
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