AI Visibility Checker • GEO / LLM SEO
Find out whether AI models like ChatGPT, Perplexity, and Google AI recommend your product – or send buyers to your competitors instead.
Spotaq runs controlled prompts against multiple AI engines, measures mention rate, sentiment, source citations, and competitor recommendations, and turns them into a single SpotAQ score (0–100).
When a buyer asks "Which AI visibility tools should I use?", AI models don't look at your ad spend or your SEO ranking – they look at which brands they recognize, trust, and have sources for. If your brand isn't in that short list, traffic silently flows to competitors.
A single score that combines AI mention rate, sentiment, source quality, and Google grounding into an easy-to-share metric for founders and marketing teams.
A list of competitors that AI suggests when it doesn't recommend you – the tools that are quietly stealing your traffic in AI answers.
Which domains AI uses as sources (official site vs third-party), and whether your official domain is cited in grounded answers.
A prioritized list of steps: content, comparisons, Schema.org markup, and authority-building actions to move your score from "invisible" to "recommended".
Under the hood, the SpotAQ AI visibility checker already behaves like an AI SEO checker: it looks at how AI assistants answer category-level queries and which tools they shortlist.
We query Perplexity and analyze which brands and domains it cites. You can treat Spotaq as your Perplexity SEO tool to track whether Perplexity recommends you or your competitors in your space.
We translate ChatGPT's answers into a concrete ChatGPT brand visibility score: how often you show up, how you're described, and which bigger brands are getting the recommendation instead.
Traditional SEO work (content, links, technical fixes) feeds the raw material AI can ground itself in. SpotAQ sits on top as an AI SEO checker — verifying whether that work is actually reflected in AI answers, not just search rankings.
Step 1
We ask AI engines category-level questions (e.g. "best AI visibility tools for SaaS") using a fixed prompt set to reduce randomness.
Step 2
We detect whether your brand is mentioned, how it's described, which sources are cited, and which competitors are recommended instead.
Step 3
We compute the SpotAQ score and translate issues (missing citations, negative sentiment, weak positioning) into a concrete action plan.
Quickly see if AI knows your product and which bigger brands it prefers, so you can fix positioning and content before scaling spend.
Turn vague "AI SEO" discussions into a concrete score, competitor list, and backlog of content/Schema tasks.
Use SpotAQ as an audit & reporting layer to win retainers and show progress on AI visibility over time.
The SpotAQ score is computed from four main signals:
You can read the full details in our methodology page, including limitations and how we plan to evolve the score over time.
Traditional SEO tools focus on how you rank in search results. SpotAQ focuses on how AI models answer questions and which tools they recommend. It's closer to "LLM SEO" or "GEO" (Generative Engine Optimization) – measuring answers, not just blue links.
No. The check itself is read-only. What changes AI behaviour is the follow-up work: improving your content, Schema.org markup, and third-party citations using the action plan from the report.
Yes. We don't publish individual customer reports without explicit permission. Aggregated, anonymized data may be used to improve the product.
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