Table of Contents
Citable
Discover how AI platforms perceive your brand. Citable provides AI-powered brand visibility analysis and “Generative Engine Optimization” (GEO) to ensure your company is cited correctly by models like ChatGPT, Perplexity, and Claude. It moves beyond traditional SEO by focusing on how Large Language Models (LLMs) “remember” and recommend your brand.
Features
- AI Visibility Dashboard: Track your “Share of Voice” across major AI models (ChatGPT, Gemini, Claude, Perplexity) in real-time.
- M.A.P. Framework: A proprietary system to measure visibility via Memory (how well models recall you), Authority (trustworthiness of your citations), and Prompt (how you appear for specific user intents).
- Competitor Analysis: See exactly where your competitors are recommended in AI answers and identify the specific citations driving those mentions.
- Automated Content Recommendations: The “GEO Agent” suggests specific content edits and identifies high-trust domains (like Reddit threads or news sites) where getting mentioned will improve your AI ranking.
How It Works
Citable queries major AI models with thousands of simulated user prompts (e.g., “Best CRM for startups”) to map your “Answer Footprint.” It then analyzes the results to determine your sentiment score and citation frequency. Using this data, it provides a checklist of actions—such as “update this Wikipedia entry” or “engage in this Reddit discussion”—to train the AI models to view your brand more favorably.
Use Cases
- Generative Engine Optimization (GEO): actively influencing how your brand is defined and recommended by AI search engines.
- Crisis Management: Instantly detecting negative hallucinations or outdated pricing information circulating in AI answers.
- Competitive Intelligence: Understanding why an AI model recommends a competitor over you for a specific use case (e.g., “Enterprise usage”).
Pros & Cons
- Pros: First-mover advantage in the specific “GEO” niche; actionable “M.A.P.” framework makes abstract AI concepts measurable; high value for B2B SaaS where AI recommendations drive purchase decisions.
- Cons: Effectiveness relies on “influencing” opaque black-box models (no guaranteed results like ad spend); starting price ($99/mo) is higher than basic SEO tools; requires ongoing monitoring as models update frequently.
Pricing
- Free Trial: 7-day access to visibility dashboards.
- Starter ($99/mo): Tracking for 1 brand, limited keywords/personas.
- Growth / Agency: Higher limits for tracking multiple brands and competitors.
How Does It Compare?
- vs. Profound: Profound is the “enterprise heavyweight” in this space, often costing $499+/mo with deep historical data and corporate-grade reporting. Citable is more accessible to startups and mid-market teams ($99/mo), focusing on actionable “fix-it” checklists rather than just raw data monitoring.
- vs. Discovered Labs: Discovered Labs offers a “managed service” approach where they write content for you to improve citations. Citable is a SaaS platform that gives you the data and tools to do it yourself.
- vs. Traditional SEO Tools (SEMrush / Ahrefs): Traditional tools track keywords and backlinks for Google Search. Citable tracks entities and citations for LLMs. If your customers ask ChatGPT for advice instead of Googling keywords, you need Citable, not just SEMrush.
Final Thoughts
As search behavior shifts from “Googling links” to “asking chatbots,” Citable addresses the existential risk of becoming invisible to AI. It creates a new discipline of marketing—treating LLMs as a distinct audience that needs to be “educated” about your brand. While the field of GEO is still young and volatile, Citable offers the most structured approach (via their M.A.P. framework) to taming the chaos of AI recommendations. It is an essential tool for any brand that relies on being “the best answer” to a question.