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AI Search Visibility Test

Test your brand's visibility across ChatGPT, Perplexity, and Gemini. Measure your share of voice in AI search and get actionable steps to improve coverage.

תיבו בסון-מגדלן, מייסד סורנק

אודות המחבר

תיבו בסון-מגדלן

מייסד סורנק, עם למעלה מ-5 שנות ניסיון ב-SEO, חובב GEO.

Learn everything to know on AI Search Visibility Test !

נוצר ב-
24/6/26
עדכון אחרון:
24/6/26
AI Search Visibility Test tool showing brand presence scores across ChatGPT, Perplexity, and Gemini

Being visible on Google is no longer the whole story. AI search engines such as ChatGPT, Perplexity, and Google Gemini now answer millions of queries every day by synthesizing information from sources they deem credible. If your brand does not appear in those answers, you are invisible to a fast-growing share of your audience. The tool above tests your domain's presence across multiple AI engines and returns a visibility report with a breakdown by platform and a set of prioritized actions.

Enter your domain in the tool above to run your free AI search visibility test.

Why multi-engine visibility matters

Each AI search engine has its own retrieval logic, training data, and source-selection criteria. A brand that ranks well in ChatGPT answers may be underrepresented in Perplexity or Gemini, and vice versa. Testing each engine separately and comparing the results gives you a complete picture of your AI presence and reveals which platforms need the most attention.

  • ChatGPT draws on its training data supplemented by real-time web browsing when enabled. Brands with strong backlink profiles, clear entity markup, and frequently cited content tend to appear more often.
  • Perplexity is a real-time answer engine that sources citations aggressively. It favours pages that are crawlable, factually dense, and structured with clear headings and concise statements.
  • Gemini integrates tightly with Google's index. A good organic presence on Google Search is a prerequisite, but topical authority and structured data add an extra layer of advantage.

How to interpret and improve your coverage

The test returns a visibility score for each engine and highlights the gap between your current presence and a benchmark across your industry. Here is how to act on the most common findings:

  • If you score low on all engines, start with the fundamentals: make sure all AI crawler user-agents (GPTBot, PerplexityBot, Google-Extended) are allowed in your robots.txt.
  • If you score well on Google-adjacent engines but poorly on ChatGPT, focus on increasing third-party citations: press coverage, expert roundups, and authoritative mentions increase the likelihood that your brand appears in training and retrieval data.
  • If Perplexity visibility is low, audit the crawlability and structure of your most important pages. Perplexity favours direct, factual content with a clear source attribution.
  • Add Organization schema with a disambiguating description, social profiles, and a knowledge-graph identifier to help all engines recognize and trust your brand entity.
  • Publish content that directly answers the questions your audience asks on AI platforms. Match your content structure to the question-answer pattern that LLMs prefer to cite.

Benchmark context

AI Overviews already appear on roughly 31 % of Google queries, and traffic from AI platforms converts at approximately 7%, nearly three times the SEO average. Brands with consistent multi-engine visibility are building a compounding advantage: each citation reinforces credibility signals across platforms. A single-engine strategy that relies only on Google is therefore increasingly fragile as AI search share continues to grow.

For continuous multi-engine monitoring, share-of-voice tracking, and automated GEO recommendations, Sorank offers a dedicated platform for agencies and growth teams.

שאלות נפוצות

Does the tool test real queries on live AI engines?

The tool runs a set of representative queries on each AI engine and checks whether your domain or brand name appears in the generated answers. Results are indicative: AI answers vary between sessions, so the score represents an average presence rate across the tested query set.

How is AI search visibility different from classic SEO ranking?

Classic SEO ranking measures your position in a list of links for specific keywords. AI search visibility measures whether your brand is mentioned, cited, or recommended inside a synthesized text answer, often without a direct link. The signals that drive AI citations, such as entity markup, topical authority, and crawl access, overlap with SEO but are weighted differently.

My brand is well known offline but invisible in AI answers. Why?

Offline brand recognition does not automatically translate to AI visibility. AI engines depend on what is published, crawlable, and structured on the web. If your brand lacks a Wikipedia page, strong backlink profile, clear schema markup, or structured content that answers specific questions, AI engines may not have enough reliable web signals to cite you confidently.

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