Questions About AI Visibility

AI Visibility means your brand appears and is cited in AI model responses when users ask relevant prompts. It's measured by Citation Rate — the percentage of relevant buyer prompts where the model mentions your brand by name. Unlike SEO, which measures where your website appears on Google, AI Visibility measures whether AI models know and recommend your brand.

SEO measures where your website appears on Google search results. Citation Rate measures whether AI models mention your brand by name in their responses. They're complementary: SEO drives click traffic, Citation Rate drives AI recommendation traffic. A brand can rank #1 on Google and still be invisible in AI — which is exactly what happened with Filmfolk.

We currently track ChatGPT, Claude, Perplexity, and Gemini — the four models your buyers actually use. Grok and DeepSeek are coming soon. Your Brand Memory deploys across all models simultaneously, not optimized for one at the expense of others.

The 90-Day Sprint delivers measurable citation lift by Day 30, with full results at Day 90. In the Filmfolk case study, ChatGPT went from 0% to 42% by Day 30 and 84% by Day 90. The free audit delivers a complete baseline report within 5 business days.

A PDF report delivered within 5 business days covering: baseline citation check across 4 LLMs (ChatGPT, Claude, Perplexity, Gemini), a competitor citation map showing who's getting cited instead of you, and an actionable citation gap report with specific recommendations. No commitment required.

Brand Memory is the structured knowledge representation of your brand that AI models retrieve when processing prompts. It comprises entity definitions, factual assertions, relationship maps, and citation anchors that models treat as authoritative. Think of it as the knowledge graph that makes your brand the obvious retrieval target. Learn more →

Standard RAG (Retrieval-Augmented Generation) retrieves information from a fixed knowledge base. Adaptive RAG is RAGSignal's proprietary 5-step methodology (MAP → BUILD → WEIGHT → REINFORCE → MEASURE) that continuously adjusts to model updates, competitive changes, and new citation opportunities. It's not static — it adapts. Full methodology →

Model updates can reset citation patterns — brands without continuous reinforcement can drop to zero overnight. This is the key risk of AI visibility: it's not "set and forget." Retainer clients get proactive monitoring and rapid response to model updates, ensuring Brand Memory stays intact. The Sprint builds the foundation; the retainer protects it.

The primary metric is Citation Rate — the percentage of relevant buyer prompts where an AI model cites your brand. Secondary metrics include Citation Delta (the change over time), Cross-Model Persistence (whether you're cited consistently across models), and Competitive Citation Share (your share vs. competitors). Every report is built on real prompt data, not estimates.

Any brand that wants to be cited in AI model responses when potential buyers ask relevant questions. Typical clients are B2B companies, professional services, agencies, and e-commerce brands with strong offline or SEO presence but zero AI visibility. If your buyers use ChatGPT, Claude, Perplexity, or Gemini to research vendors, RAGSignal is for you.

The 90-Day Visibility Sprint is a one-time engagement that builds your Brand Memory from scratch and achieves initial citation targets. The AI Presence Retainer is ongoing — it maintains and grows your citation share through continuous reinforcement, model update monitoring, and prompt expansion. Most clients start with the Sprint and move to the Retainer after hitting targets.

No. We are model-agnostic. Your Brand Memory deploys across ChatGPT, Claude, Perplexity, and Gemini simultaneously. We don't optimize for one model at the expense of others. If a new model gains market share, your Brand Memory is already structured to work with it.