Frequently Asked Questions

Generative Engine Optimization (GEO) is the practice of improving how a brand is understood, cited and recommended inside AI-generated answers. Unlike traditional SEO, which focuses on search rankings, GEO focuses on visibility across answer engines such as ChatGPT, Gemini, Claude and Perplexity.

CitiQ is a Generative Engine Optimization platform that helps brands measure, improve and monitor their visibility inside AI-generated answers. It analyzes how AI platforms understand brands, retrieve their content, cite their sources and recommend them in response to customer prompts.

SEO primarily improves visibility in search engine results, while GEO improves visibility within AI-generated answers. GEO focuses on signals such as entity clarity, structured data, citation authority, content relevance and recommendation presence. SEO and GEO complement each other rather than functioning as replacements.

AI visibility measures how frequently and accurately a brand appears across AI-generated answers. It can include brand mentions, citations, recommendations, prompt coverage, answer position and competitive share of voice across platforms such as ChatGPT, Gemini, Claude and Perplexity.

CitiQ measures AI visibility by running customer-relevant prompts across monitored AI models and analyzing signals such as entity coverage, citation authority, recommendation rate, prompt coverage and answer position. Results can also be benchmarked against named competitors.

The CitiQ AI Visibility Score is a composite measure of how effectively a brand appears within AI-generated answers. CitiQ evaluates signals including entity coverage, citation authority, recommendation rate, prompt coverage and answer position to assess a brand's AI visibility.

CitiQ monitors major conversational AI platforms including ChatGPT, Gemini, Claude, Perplexity, Grok, Meta AI and Copilot. The platform runs customer-relevant prompts across AI models to monitor how brands are retrieved, evaluated, cited and recommended.

Brands can improve AI visibility by strengthening entity clarity, structured data, content quality, factual consistency, citation authority and third-party signals. Creating clear, answer-ready content that directly addresses customer questions can also make pages easier for AI systems to retrieve and cite.

AI citation visibility can be supported by crawlable pages, clear answers, specific facts, current information, consistent claims and credible supporting sources. Structured content and strong authority signals can also make information easier for AI retrieval systems to understand and use.

An AI citation occurs when an AI-generated answer references a website or page as a source for information in its response. Citation rate measures how frequently a brand's own domain is used as a source across a representative set of relevant AI prompts.

Entity clarity describes how clearly AI systems can understand who a brand is, what it offers and how it relates to products, services, categories and competitors. Strong entity clarity reduces ambiguity and helps AI systems associate information with the correct brand.

Structured data provides machine-readable information about a page, brand, product or service. It can strengthen entity understanding and make facts easier for search and AI systems to parse, although structured data alone does not guarantee that a brand will be cited or recommended.

Prompt simulation involves repeatedly running representative customer questions across AI models to observe how those systems currently answer, cite and recommend brands. CitiQ uses prompt simulation to identify visibility gaps and compare brand performance across monitored AI platforms.

Yes. CitiQ provides competitive benchmarking that compares a brand's AI Visibility Score and related signals against named competitors. This can reveal which competitors receive greater visibility, citations or recommendations across specific AI models and customer prompts.

A practical starting point is a GEO audit. CitiQ can evaluate how a brand currently appears across AI platforms, identify competitors and sources being surfaced, and uncover content, technical, structured data, entity and authority gaps that may affect AI visibility.