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Cited

Cited

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#777 Radar 66

Optimizes brand visibility in AI search answers with actionable insights.

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Product memo

Targets marketing teams at Indian brands grappling with the shift to AI-driven product discovery, where traditional SEO is losing relevance. Wedges into this emerging gap by providing actionable insights and content briefs, ensuring brands are recommended by AI chatbots, not just ranked on Google. Defensibility comes from proprietary data analysis of AI response patterns and prompt engineering, a critical moat in a nascent market.

For who

Marketing teams optimizing AI search visibility

Solves what

Tracks and improves brand mentions in AI search answers across multiple platforms.

  • AI mention tracking
  • Competitive benchmarking
  • Content brief generation
"

In their own words

AI Search Optimization

Your customers are asking AI. Is it recommending you?

CTA: Get Free Report

Commercial cues

Pricing snapshot Pricing still unknown

Model

subscription

Free tier

No

Trial

No

No public pricing tiers captured.

Operator context

Founded

May 2026

HQ

India

Platform

Web app

Audience

Marketers

Social / footprint

Builder Strategy

Strategy Type
Niche Specialist
Stage
Vc Growth
Effort
Small Team
Core Thesis

Targets Indian marketing teams by providing actionable AI search optimization insights and content briefs to capture AI-driven customer discovery.

Unfair Advantages

  • Proprietary Data Proprietary dataset of AI response patterns and prompt analysis

  • Exclusive Distribution Early mover advantage in a rapidly emerging AI search optimization niche

Builder Lesson

Focus on a specific emerging AI channel (like AI search) and provide actionable content briefs to bridge the gap for marketers.

Full Reasoning

Wins by identifying the critical shift in consumer search behavior towards AI chatbots and positioning itself as the essential tool for brands to maintain visibility. The asymmetric bet is building a proprietary dataset of AI response patterns and prompt engineering insights, creating a formidable moat in a nascent field. Other builders: don't wait for established categories; identify emerging channels where traditional solutions fail and build the first actionable intelligence layer.

About Cited Expand

Cited is an AI search optimization platform designed for marketing teams aiming to secure their brand's presence in the new era of AI-driven search. As consumers increasingly turn to AI chatbots for product discovery and information, traditional SEO strategies fall short. This platform bridges that gap by tracking brand mentions within AI answers across various platforms, providing critical competitive benchmarking, and generating content briefs specifically tailored to influence AI responses.

Built for the forward-thinking marketer, Cited offers a clear path to improving AI search visibility. It moves beyond simple keyword rankings, focusing instead on how AI models interpret and present information. The platform's methodology is rooted in analyzing AI response patterns and prompt engineering, giving brands a strategic advantage in a rapidly evolving landscape. With a tiered pricing structure, Cited scales from individual teams to large enterprises, ensuring every brand can proactively manage its reputation and recommendation status in AI search.

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