Live responses from ChatGPT, Gemini & Perplexity — not cached, not simulated
Each check triggers a real, live query to the AI model — you see the actual response a user gets right now. Includes cited sources, fan-out queries, cited domains, and brands mentioned.
AI search engines don't rank ten blue links — they generate answers, recommend brands, and cite sources. This tool shows you all three.
How to Read Your Results
Each live check returns five result panels — here's what each one tells you and what to do with it.
AI Response
The full text the AI generated for your prompt live — exactly what a real user sees right now. Read it: does your brand get named? In what context and position relative to competitors?
Related Queries — Query Fan-Out
The sub-questions the AI searched internally to build its answer. These reveal the topic clusters the model used to frame your prompt — a direct input for structuring your GEO content strategy.
Cited Sources
The specific URLs the AI pulled from when forming its answer. Is your domain here? If not, these are the pages the AI trusted instead of you — your GEO content benchmark.
Cited Domains
All domains aggregated from Cited Sources, ranked by how many times they were referenced. The higher a domain, the more the AI relies on it for this topic. These are the sites to study and compete with.
Competing Brands
Other brands the AI explicitly names in its response for this prompt. This is your real AI-search competitive set — and it often differs from who you compete with in Google.
ChatGPT vs Gemini vs Perplexity
The three major AI search platforms have different training data, retrieval behaviour, and citation styles — your visibility can differ significantly across them.
ChatGPT
- Browses the web in real time for Plus/Pro users. Training data cut-off supplemented by retrieval.
- Cites sources inline with numbered references. Source URLs visible to user.
- 883M monthly users — the highest reach of any AI platform.
Gemini
- Deep integration with Google Search. AI Overviews powered by Gemini — what ranks on Google influences what Gemini cites.
- Growing fast: market share up from 5% to 21% year-over-year.
- Strongest for queries where Google organic ranking and AI visibility converge.
Perplexity
- Retrieval-first: every response includes inline citations with specific URLs. Citation visibility is most transparent here.
- Favoured by researchers and technical users. High-intent queries dominant.
- Top cited domains and pages most actionable for GEO — directly shows which URLs Perplexity trusts.
How to Improve Your AI Visibility
AI citation is not random — there are clear patterns in which content gets cited and why.
Write for prompts, not keywords.
Use this tool to find the exact prompts your audience is asking AI. Then write content that directly answers those questions — in the format and depth an AI would cite.
Study the Cited Domains list.
Every domain in the results is a site the AI trusts for this topic. Analyse their content structure, depth, and coverage. That is your content benchmark.
Build topical depth, not single pages.
AI models favour sites that comprehensively cover a topic — not sites with one strong page. Publish a cluster of related content that covers the topic from multiple angles.
Get mentioned by authoritative sources.
AI models were trained on the web. Brands that appear in reviews, comparisons, and roundups on high-authority sites carry that signal into AI responses.
Check regularly.
AI models update their training and retrieval configurations continuously. A brand that was cited last month may have been displaced by a competitor. Run checks monthly at minimum for any keyword that matters.
What Is Generative Engine Optimisation (GEO)?
GEO is the practice of making a brand more visible in AI-generated answers. Traditional SEO targets Google's ranking algorithm. GEO targets the signals that influence whether and how LLMs mention, recommend, or cite a brand in their responses.
What is the difference between AI Overview and LLM response? Google AI Overviews appear within standard Google search results — they're Google's AI summary, present in ~48% of searches as of mid-2026. LLM responses from ChatGPT and Perplexity come from entirely separate platforms. Citation behaviour, brand preferences, and source selection differ between the two. SERP.tools covers both: Google SERP Checker for traditional results including AI Overviews, this tool for standalone LLM platforms.
See traditional Google results for this keyword
Run a Google SERP check alongside your AI visibility data.
Frequently Asked Questions
What's the difference between checking traditional search and checking AI results? ▾
Traditional search shows where your page ranks in Google's list of results. AI search checking shows what the AI actually says when someone asks about your topic — which brands it recommends, which sources it cites, and how you are described. The two are increasingly decoupled: a site can rank #1 on Google and be absent from AI responses. For traditional Google results, see our Google SERP Checker.
Which AI models does the checker cover? ▾
ChatGPT (pre-selected by default, 1 Limit), plus Gemini and Perplexity as optional additions (each +1 Limit). These three platforms account for the vast majority of AI search traffic. Additional models will be added as new platforms gain significant user share.
Why does the tool show cited domains and pages? ▾
When a retrieval-augmented AI like Perplexity answers a prompt, it fetches and cites specific web pages. The cited domains and pages show which sites the AI trusts for this topic. If your site is absent, those are the competitors to study and out-publish for this topic.
Can I research competitors with this tool? ▾
Yes — enter a prompt your customers would actually use, such as "best CRM for startups" or "top project management software". The AI response and Brands Mentioned panel show exactly which brands AI recommends for that query. This reveals your true AI-search competitive set, which often differs from who you compete with in Google.
What is the Limit cost per check? ▾
1 Limit for ChatGPT. Each additional model you select adds 1 Limit — so checking all three models costs 3 Limits. The projected cost is shown dynamically next to the Check button as you select models.
How often does AI visibility change? ▾
AI models update their retrieval configurations and training data continuously. Which sources get cited, which brands get recommended, and how topics are framed can shift meaningfully within weeks. Run checks monthly at minimum for any prompt that matters to your business.
Why do I need an account? ▾
Each check fires a live query to the actual AI model in real time — it is not a cached or simulated result. That has a real cost per query. An account ties each check to your Limit balance, prevents abuse, and keeps the tool available for everyone. The example result shows exactly what you get before signing up.
Free account unlocks more
Now (no account)
- –Tool result history: Not saved
- –Bulk limits: Standard
- –Features voting: —
- –Crawl bot-protected pages: —
- –Early access to new tools: —
Free account
- ✓Tool result history: Last 30 days
- ✓Bulk limits: +100% higher limits
- ✓Features voting: Vote on new features
- ✓Crawl bot-protected pages: Included
- ✓Early access to new tools: Included