AI Search Visibility FAQ

AI search engines are answer engines that use large language models to respond to queries directly, rather than returning a list of links. Examples include ChatGPT Search, Perplexity, Google AI Overviews, Gemini, and Microsoft Copilot. Unlike traditional search, they synthesize answers from multiple sources and cite or recommend specific brands and pages.

ChatGPT Search retrieves live web content and uses GPT-4 to synthesize answers with citations. When a user asks a product or category question, ChatGPT selects sources it considers authoritative, citable, and relevant. Brands that appear in ChatGPT answers benefit from high-intent visibility that traditional search rankings do not capture.

AI generated answers are responses produced by language models in reply to user queries. They replace or supplement traditional search result pages. If your brand is not mentioned in AI generated answers for your category, you are invisible to users who rely on ChatGPT, Perplexity, or Google AI Overviews — even if you rank well in traditional search.

AI search visibility is the evidence of whether answer engines such as ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews mention, rank, describe, or recommend your brand when users ask category and problem-specific questions.

Traditional SEO focuses on how web pages rank in search results. GEO and AI visibility tracking focus on how AI systems understand your brand, which competitors they mention, what answer text they generate, and whether your brand appears in useful recommendation contexts.

The public leaderboard shows how brands and products appear across selected AI ranking categories. It is useful for market discovery, competitor context, and spotting categories where private tracking may be worth setting up.

Use a private tracker when you need repeatable evidence for your own brand, competitors, prompts, snapshots, and answer changes over time. The leaderboard is good for discovery; private tracking is better for ongoing monitoring and decisions.

Free tools can help you inspect AI search readiness, citation gaps, and visibility issues before committing to a paid workflow. They are best used as a first diagnostic step, then paired with recurring tracking when the category matters.

Because AIvsRank tracks AI answer engines, not only traditional web search. It requires LLM inference, multi-engine orchestration, stored snapshots, competitor comparison, and recurring checks, which makes the infrastructure different from SEO crawling.

Yes. Upgrades take effect immediately. Downgrades apply at your next billing cycle.

• Monthly plans: Not support
• Yearly plans: Support proportionate refund (minus the months used)

We follow industry-standard SaaS refund policies.

You can continue using Free for public discovery, or upgrade to a paid subscription when you need private projects, active prompts, monitoring frequency, and saved history.

Yes. Free is best for public discovery and setup evidence. Ongoing private tracking usually requires a paid subscription because project and prompt capacity are plan-based.

Currently, only English is supported.

Not available for now.

Not supported for now.

We follow strict enterprise standards: GDPR, SOC2, encrypted storage, audit logging (Pro+). Enterprise customers can request a compliance package.

Not supported for now

Not supported for now

Plan entitlements define your active project and active prompt capacity. Once you exceed your limit, you can choose:

• reduce active trackers
• reduce active prompts
• upgrade plan