Check whether AI answer engines can find and recommend your brand
Preview your visibility across ChatGPT, Google AI Overviews, Perplexity, Gemini, and Copilot. Then see which recommendation, competitor, and citation signals a full Generative Engine Optimization audit should validate.
What AI visibility means for a brand
AI visibility is the extent to which answer engines recognize a brand as a relevant entity and include it when users ask for explanations, comparisons, shortlists, or recommendations. A company can rank in traditional search and still be absent from generated answers. That happens when an engine cannot connect the company to a category, cannot find enough supporting evidence, or sees stronger and more consistent signals for competitors.
An AI visibility checker helps expose that gap. The useful question is not simply whether an engine knows a brand name. It is whether the brand appears for the buyer questions that influence discovery and purchase decisions, whether it is described accurately, and whether the answer links or refers to credible supporting sources.
Recommendation coverage
Measure how often your brand is mentioned or recommended across buyer-intent prompts, topics, and AI engines.
Competitor share
Compare your mention rate and position with the companies an answer engine recommends instead.
Citation evidence
Identify which owned and third-party sources support generated claims, recommendations, and comparisons.
How to interpret this free preview
The instant result above is a directional preview designed to explain the problem before a live audit. It does not call third-party AI APIs and should not be treated as measured market performance. A low or moderate preview score is a prompt to investigate—not proof that a specific AI engine currently includes or excludes the brand.
Test a stable set of commercial and informational prompts that real buyers use.
Repeat tests across engines because answers and citations vary by system and over time.
Record brand mentions, recommendation order, competitors, linked sources, sentiment, and incorrect facts.
Prioritize fixes that improve entity clarity, useful answers, evidence, and external authority.
From a quick check to measurable GEO work
Synta combines AI visibility monitoring with Generative Engine Optimization. The process begins with a baseline: relevant prompts, target markets, named competitors, and answer-engine coverage. Findings then guide content improvements, technical entity signals, citation development, and ongoing measurement. Learn more about our AI visibility monitoring service or review the guide to Generative Engine Optimization.
An AI visibility checker evaluates whether an AI answer engine can identify, mention, cite, compare, or recommend a brand when a buyer asks a relevant question. It is the AI-search equivalent of checking organic search presence, but it focuses on generated answers rather than a list of blue links.
Does the free score query ChatGPT, Gemini, or Perplexity live?
No. The instant public score is a directional educational preview generated from the information entered. A proper audit uses a controlled set of real prompts, records the answers returned by each engine, and reviews recommendations, competitors, citations, sentiment, and factual accuracy.
What does a full AI visibility audit measure?
A full audit measures brand mention rate, recommendation position, share of voice against competitors, cited source coverage, answer sentiment, and factual accuracy across commercial and informational buyer prompts.
How can a brand improve its AI visibility?
Improvement usually requires clearer entity information, direct answers to buyer questions, consistent product and company facts, strong internal linking, credible third-party references, and content structured so both search engines and AI systems can retrieve and interpret it.