Monitor what ChatGPT, Claude, Perplexity, and other AI models say about your brand - the new frontier of brand monitoring
Overview
Key benefits
Track your brand presence across ChatGPT, Claude, Perplexity, Bing AI, Bard, and other major AI models. Each model may have different training data and provide different responses. See how consistently your brand appears across the AI ecosystem and identify models where you're underrepresented.
Monitor not just what AI says about you, but how you compare to competitors in AI responses. When someone asks AI for product recommendations in your category, do you get mentioned? Who gets recommended more often? What positioning do competitors have? Identify competitive gaps and opportunities.
See what sources AI models cite when mentioning your brand. Are they referencing your own content, third-party reviews, news articles, or something else? Identify which content types and sources carry the most weight in AI training. Find citation opportunities to improve your AI presence.
Track AI responses to industry questions and topics relevant to your business. Even if your brand isn't mentioned, see what information AI provides on topics where you have expertise. Identify content gaps you can fill to become an AI-referenced authority in your industry.
Analyze how AI models describe your brand - positive, negative, neutral? What attributes do they highlight? What problems do they say you solve? Understanding your AI positioning helps you optimize content and messaging to improve how AI represents your brand.
Monitor changes in AI responses over time. Get alerts when your brand presence improves or declines, when new competitors appear in responses, or when AI starts citing new sources. Track the impact of your content and SEO efforts on AI visibility.
How it works
Enter your brand name, products, key competitors, and industry keywords you want to track. Define variations and common misspellings. The tool will query AI models using these terms in relevant question formats.
Create or select from template queries that people might ask AI about your industry. Examples: 'What are the best [product category]?', 'Compare [competitor1] vs [competitor2]', 'How do I solve [problem you solve]?'. The tool tracks AI responses to these queries.
Choose which AI models to track: ChatGPT (3.5, 4, 4o), Claude (Sonnet, Opus), Perplexity, Bing AI, Bard, and others. More models provide better coverage but use more credits. Most brands start with ChatGPT and Perplexity as they're most commonly used for search.
The tool queries all selected AI models with your tracking queries and establishes a baseline of current brand presence. See where you're mentioned, how you're positioned, what sources are cited, and how you compare to competitors. This is your starting point.
Analyze the baseline results. Identify queries where you should be mentioned but aren't, competitors who dominate AI responses, content gaps in your industry, and citation opportunities. The AI provides prioritized recommendations to improve your presence.
Set up automated tracking to requery AI models weekly or monthly. Track changes in responses, measure impact of your content efforts, and get alerts for significant changes. Monitor continuously to maintain and improve your AI brand presence.
Use cases
Scenario
A project management software company notices competitors get recommended by ChatGPT when people ask about project management tools, but they don't appear in responses.
Solution
AI Tracker reveals that while company has good SEO, they lack presence in sources AI cites (review sites, comparison blogs, thought leader mentions). Company creates content strategy focused on getting featured in publications AI references. After 3 months, brand appears in 40% of relevant AI responses, up from 0%.
Scenario
An industry consultant wants to be recognized as an AI-cited expert in their field.
Solution
Track AI responses to questions in consultant's expertise area. AI currently cites other experts and academic sources. Strategy: publish research reports, contribute to industry publications AI references, and create authoritative content addressing common questions. After 6 months, consultant gets mentioned by AI models when people ask domain-specific questions.
Scenario
E-commerce brand wants to understand why competitor gets recommended more often in AI shopping recommendations.
Solution
AI Tracker shows competitor has strong presence in product review sites, YouTube reviews, and comparison articles that AI models cite frequently. Company increases review generation efforts, partners with YouTubers, and publishes comparison content. Competitive gap narrows from 80% vs 20% mentions to 55% vs 45% within 4 months.
Scenario
Company discovers AI models are providing outdated negative information about a past issue that's been resolved.
Solution
Track specific queries that trigger negative responses. Identify sources AI is citing. Create updated authoritative content addressing the issue resolution, get coverage in publications AI references, and update owned channels. Monitor weekly to track improvement in AI sentiment and accuracy.
Best practices
Track regularly - AI training data updates periodically and responses can change
Don't just monitor your brand name - track category questions where you should appear
Monitor competitors equally - understanding their AI presence is as important as tracking your own
Focus on authoritative sources AI cites - getting mentioned there improves your AI visibility
Create content that answers questions people ask AI - become the source AI references
Track diverse query types - informational, comparison, purchase intent, troubleshooting
Document all findings - track what works to improve AI presence over time
Remember AI has knowledge cutoff dates - some models won't have recent information yet
Consider international markets - AI responses vary by language and region
Be patient - improving AI presence is a long-term strategy, not overnight results
More capabilities
FAQ
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