Frequently Asked Questions

Traditional analytics tools like Google Analytics can't track AI visibility because LLMs don't send referral traffic the same way search engines do. To measure your brand visibility in ChatGPT, Perplexity, and Gemini, you need a dedicated AI visibility platform like Sanbi.ai that sends real prompts to each AI engine, checks whether your brand is mentioned, and scores your visibility, sentiment, and citation rate across all models. You can run a free AI visibility audit in under 2 minutes to see exactly where you stand.

The simplest way is to run the queries your customers would ask — like "best [your category] in [your city]" or "what is the best tool for [your use case]" — directly in ChatGPT, Perplexity, and Gemini, then check if your brand appears in the response. For a systematic audit, Sanbi.ai automates this across 10+ real prompts per engine, tracking your rank position, sentiment, and which sources the AI cites. This gives you a repeatable, measurable baseline instead of manual spot-checks.

Share of voice in AI answers is measured by the percentage of relevant prompts where your brand is mentioned vs. competitors. Unlike traditional share of voice (SOV) which counts ad impressions or SERP rankings, AI share of voice requires sending prompts to each engine and tallying citation frequency. Sanbi.ai tracks this automatically — showing you exactly how often ChatGPT, Gemini, and Perplexity mention your brand compared to competitors, so you can quantify your AI mindshare and track it over time.

Yes. You can manually test by pasting relevant queries into ChatGPT or Perplexity and reviewing whether your domain gets cited. However, AI responses vary by session, user context, and model version, so manual tests are inconsistent. For reliable testing, use Sanbi.ai's free audit which runs standardized prompts across ChatGPT, Gemini, and Claude simultaneously — giving you a structured report with visibility scores, sentiment analysis, and citation tracking that you can compare over time.

There are three main reasons. First, your site may lack machine-readable structured data (JSON-LD schema) that helps AI models verify and cite your business as a trusted entity. Second, you may not have enough third-party mentions — AI models cross-reference sources like Reddit, forums, directories, and review sites before confidently recommending a brand. Third, your content may not be structured for extraction — AI models favor content with direct answers under clear question-based headings, not walls of marketing copy. Start with a free visibility audit to pinpoint exactly where the gap is.

Yes, Bing is highly relevant. ChatGPT's browsing mode uses Bing's search index to find and cite sources. If your site ranks well on Bing (via Bing Webmaster Tools), your content is more likely to be surfaced when ChatGPT searches for real-time information. Submitting your sitemap to Bing Webmaster Tools, ensuring your robots.txt allows Bingbot, and optimizing for Bing's ranking factors (which favor structured data and exact-match content) can directly improve your ChatGPT citation rate.

Agentic commerce is the emerging model where AI agents autonomously browse, compare, and purchase products on behalf of consumers. Instead of a human searching Google, clicking ads, and checking out manually, an AI agent like ChatGPT with plugins, Google's Gemini shopping, or autonomous shopping assistants handles the entire journey — from discovery to transaction. The agentic commerce market is growing rapidly heading into 2026, and brands that are not visible to these AI agents risk being excluded from purchase decisions entirely. It represents the biggest shift in ecommerce since mobile shopping.

While exact figures vary by analyst, the agentic AI market (which includes agentic commerce) is projected to grow from roughly $5-7 billion in 2025 to over $30 billion by 2028, with agentic commerce capturing a significant share of that as AI-driven shopping becomes mainstream. Gartner, McKinsey, and eMarketer all flag AI-assisted purchasing as a top trend reshaping ecommerce. By 2030, projections suggest that 20-30% of online transactions could involve some form of AI agent mediation. For brands, the implication is clear — if AI agents can't find and recommend your product, you lose the sale before a human ever sees it.

The key risks include — (1) Loss of brand control, since AI agents may summarize or misrepresent your product based on third-party reviews rather than your own messaging. (2) Pricing manipulation, where agents optimize purely on price, commoditizing your offering. (3) Data privacy concerns, as agents access user purchase history and preferences. (4) Bias in recommendations, since LLMs may favor brands with more structured data or higher web consensus regardless of actual quality. (5) Fraud and security, where malicious agents exploit checkout flows. Mitigation strategies include implementing robust schema markup, monitoring AI sentiment via tools like Sanbi.ai, maintaining competitive pricing transparency, and building strong third-party review profiles that AI agents weigh heavily.

To appear in agentic commerce flows, your product data needs to be machine-readable and trustworthy. This means implementing comprehensive Product schema markup (JSON-LD) with pricing, availability, reviews, and specifications. You also need strong third-party signals — reviews on Google, Amazon, Reddit, and niche forums — because AI agents cross-reference before recommending. Structured FAQ and comparison content helps agents answer "which is better" queries. Finally, monitor how AI models currently perceive your brand using an AI visibility audit so you can fix gaps before agentic commerce fully scales.

AI visibility is an emerging discipline — sometimes called Generative Engine Optimization (GEO) or LLM SEO. Sanbi.ai is purpose-built for this, offering automated monitoring of how your brand appears across ChatGPT, Gemini, Perplexity, and Claude. We track visibility scores, sentiment, citations, and rank position per prompt — then give you actionable recommendations to improve. Unlike traditional SEO agencies that focus on Google rankings, Sanbi focuses specifically on making your brand visible inside the AI answers that are replacing traditional search results.

Our free audit takes your domain and runs 10 real prompts across ChatGPT, Gemini, and Claude — the same queries your potential customers are asking. Within 2 minutes, you get a full report showing your visibility score (0-100), which engines mention you, the sentiment of those mentions (positive, neutral, or negative), which sources get cited alongside you, and prompt-by-prompt breakdowns. It's the fastest way to see exactly how AI perceives your brand today — no signup or credit card required.