Track Your Brand Across
Every AI Platform
Millions of people ask ChatGPT, Claude, Gemini, and Perplexity for product recommendations every day. Linksii monitors whether those AI platforms mention your brand, how they describe it, and where you stand against competitors.
How AI brand monitoring works
Three steps to understand how AI platforms see your brand
Set up your prompts
Define the questions your customers ask AI platforms. Linksii runs these prompts daily across ChatGPT, Claude, Gemini, and Perplexity to capture real responses.
Track visibility automatically
Linksii analyses each AI response to detect brand mentions, sentiment, positioning, and source citations. Every data point is scored and timestamped.
Optimise your AI presence
Use gap analysis, competitor benchmarks, and funnel-stage insights to improve how AI platforms talk about your brand. Track progress over time.
Monitor four major AI platforms
Each AI assistant uses different data sources and ranking signals. Linksii tracks all four to give you the full picture.
ChatGPT
OpenAI's GPT-4 with web search grounding
Claude
Anthropic's Claude with research capabilities
Gemini
Google's Gemini with Search grounding
Perplexity
Perplexity's Sonar with real-time citations
Track platform-specific insights: ChatGPT | Claude | Gemini | Perplexity
Everything you need to monitor AI visibility
Prompt Tracking
Define the exact questions your customers ask AI assistants. Linksii runs each prompt across all platforms daily and records the full response.
Competitor Analysis
See which competitors appear alongside your brand in AI responses. Track their visibility scores, mention frequency, and positioning over time.
Multi-Country Monitoring
Track your brand visibility across 20+ countries. AI responses vary by region, and Linksii captures those differences so you can localise your strategy.
Source Credibility Scoring
Linksii rates the credibility of every source cited by AI platforms, from tier-1 publications to niche blogs. Understand what fuels AI recommendations.
Gap Analysis
Identify prompts where competitors appear but your brand does not. Gap analysis reveals the exact opportunities to improve your AI visibility.
Funnel Stage Tracking
Map prompts to awareness, consideration, and decision stages. See where in the buyer journey AI platforms mention your brand most and least.
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See where your brand stands in AI right now
Free AI visibility check across ChatGPT, Claude, Gemini, and Perplexity in 60 seconds. Find the prompts where you appear, the prompts where competitors win, and the sources driving recommendations. No credit card.
What AI brand monitoring actually entails
AI brand monitoring is not social listening with AI tooling. The mechanics are different, the failure modes are different, and the playbook is different. Social listening watches what people say about your brand on the open web; AI brand monitoring watches what AI assistants say about your brand to those same people. The latter is closer to share-of-voice tracking on a search engine than to mention monitoring on Twitter.
Inputs are prompts, not keywords. A traditional monitoring tool watches for brand-name strings appearing in content. An AI brand monitor sends prompts — the actual questions buyers ask AI assistants — and records the responses. The prompts matter as much as the brand name; a brand can be mentioned 80% of the time on awareness queries and 5% of the time on decision queries, and only the second number predicts pipeline.
Outputs are responses, not mentions. Each AI response is a complete text passage, not a single mention or quote. The brand can appear in any position, be described with any framing, be paired with any set of competitors. The unit of analysis is the response — what role your brand plays in it — not whether the brand name appears.
Non-determinism is the dominant noise source. The same prompt run twice on the same AI assistant five minutes apart returns different responses. A single response is statistical noise; meaningful signal only emerges across multiple repetitions of the same prompt, run consistently over time. This is the largest practical difference from social-listening monitoring, which deals in deterministic facts about what was published.
Cross-platform variance is large. ChatGPT, Claude, Gemini, and Perplexity routinely recommend different brands for the same query. Monitoring one platform tells you a fraction of the picture. The cross-platform consistency of your visibility is itself one of the most diagnostic single metrics — brands strong on all four are platform-neutral; brands strong on only one have platform-specific work to do.
The right cadence is daily, not weekly. AI grounding shifts continuously. A weekly snapshot misses the actionable shifts; a monthly snapshot misses them entirely. Daily prompt runs across a stable 25–50 prompt set are the minimum cadence for an actively-managed brand monitoring program. Below that, you get static data; above it, returns diminish.
How to set up AI brand monitoring that actually pays off
A defensible monitoring program in six moves — the structure separating brands that act on AI data from brands that just collect it.
Define the 25–50 prompts your buyers actually ask
Don't copy a generic prompt list. The prompts that matter are the ones a real buyer types into ChatGPT or Perplexity when researching your category — branded, comparison, problem-framed, and decision-stage. Spend an hour with a customer-success lead writing the prompts you wish AI got right. That list is the foundation of every other monitoring decision.
Run all four major AI assistants, not just one
Cross-platform variance is large enough that single-platform monitoring is misleading. The cheapest version of this is parallel API calls to ChatGPT, Claude, Gemini, and Perplexity on the same prompt set, stored together so you can compare. Linksii automates this; the principle holds however you measure.
Track mention rate, position, sentiment and source citation together
Mention rate alone is a thin signal. Position (first, third, sixth) correlates more strongly with click-through. Sentiment surfaces the framing problem. Source citations tell you which third-party domains are driving the recommendations — and which to target for outreach. Tracking all four together is the difference between data and direction.
Set the cadence to daily for active brands, weekly minimum
Anything less than weekly and you cannot separate genuine drift from non-deterministic noise. Daily runs of the same stable prompt set produce trend lines within two to three weeks. The same prompt list, the same platforms, the same countries — consistency over coverage is what makes the data legible.
Wire alerts to the channels the marketing team actually reads
Visibility shifts that happen on Tuesday should reach the relevant person on Tuesday, not Friday. Slack and email alerts on visibility drops, competitor surges, or new high-credibility citations close the loop between measurement and action. Without alerts, monitoring becomes a quarterly review artefact rather than an operating discipline.
Treat the monthly review as a working session, not a status report
Each month, the team should look at the deltas — which prompts moved up, which moved down, which competitors gained share, which new sources entered the citation cluster — and ship one or two concrete content/PR moves. Monitoring without a monthly act-on-the-data ritual decays into a vanity dashboard.
Frequently asked questions
What is AI brand monitoring?
AI brand monitoring is the practice of tracking how large language models and AI assistants like ChatGPT, Claude, Gemini, and Perplexity mention, recommend, or describe your brand when users ask relevant questions. Unlike traditional media monitoring, AI brand monitoring focuses on the outputs of generative AI systems that increasingly influence purchase decisions.
Why does AI brand monitoring matter for my business?
A growing number of consumers use AI assistants to research products, compare options, and make purchase decisions. If an AI platform consistently recommends your competitors but not your brand, you are losing visibility in a channel that is rapidly replacing traditional search. AI brand monitoring gives you the data to understand and improve your position.
Which AI platforms does Linksii monitor?
Linksii monitors four major AI platforms: ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), and Perplexity. Each platform uses different data sources and ranking logic, so monitoring all four gives you a comprehensive view of your AI brand presence.
How often does Linksii run monitoring checks?
Linksii runs your tracked prompts daily across all selected platforms and countries. This daily cadence captures changes in AI recommendations quickly, whether driven by new training data, updated web sources, or shifts in competitor activity.
Can I track competitors alongside my brand?
Yes. Linksii automatically detects competitor mentions in every AI response. You can add specific competitors to track, and the platform will benchmark your visibility, sentiment, and mention frequency against theirs over time.
How is AI brand monitoring different from traditional SEO monitoring?
Traditional SEO monitoring tracks your position in search engine results pages. AI brand monitoring tracks whether AI assistants mention and recommend your brand in conversational responses. The ranking factors are different: AI platforms weigh source credibility, training data recency, and contextual relevance rather than backlinks and keyword density.
Start monitoring your AI brand presence today
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