Monitoring of how AI describes your brand across ChatGPT, Perplexity, Gemini, Claude, Grok and Meta AI, weekly or monthly, on the cadence you set. Recommendation rate. Share of voice. Sentiment. Inaccuracy alerts. Source attribution. Designed for marketing leaders who need a defensible measurement layer for AI visibility. Tracking is the first step of the Kodiac journey, not the last.
Tracking AI brand mentions requires running a structured set of buyer-intent queries against every AI system on a regular cadence, capturing the verbatim outputs, classifying each mention by sentiment and accuracy, and identifying which third-party sources AI is citing. Doing it manually is impossible at scale. A specialist platform is required because each AI system has different APIs, different update cadences, different source preferences, and different output formats.
ChatGPT, Perplexity, Gemini, Claude, Grok and Meta AI are tracked from one operational view. Single-engine monitoring is insufficient because AI search has fragmented permanently and each system favours different sources.
Buyer-intent queries refresh on the cadence you set for each brand, weekly or monthly. Trend lines roll up to weekly, monthly and quarterly views for board-level reporting. Alerts for sudden score drops, new inaccuracies and widening competitor gaps fire as soon as a scan detects them, gated by each score's noise band so only material change gets through.
For every AI mention captured, Kodiac tracks which third-party sources AI cited (Reddit, Wikipedia, G2, news, Hacker News) with per-source AI weight scoring. The ecosystem layer is where 74-92% of AI brand description comes from, per University of Toronto research.
Every output is automatically classified for factual accuracy against your authoritative source data. Inaccuracies are flagged with severity scores and traced back to the specific third-party source propagating the error - so the fix is targeted rather than guessed.
Every plan scans your brand across all six AI systems and crawls your site, with every feature included: inaccuracy alerts, competitive benchmarking, source attribution. Choose a weekly or monthly cadence for each brand. Plans differ only in monthly allowance of Kodiac Tokens, scan cadence and support.
The questions buyers ask most often when first investigating this.
Tracking AI brand mentions requires a specialist platform that runs buyer-intent queries against every major AI system on a regular cadence, captures the verbatim outputs, and classifies each mention by sentiment, accuracy, and source attribution. Manual tracking is impossible at scale because each AI system updates on a different cadence and uses different APIs. Kodiac runs scheduled monitoring across ChatGPT, Perplexity, Gemini, Claude, Grok and Meta AI from a single dashboard, weekly or monthly, on the cadence you set.
The right tool depends on what you need to do. For board-level snapshot reporting, the HubSpot AEO Grader is free but covers only three AI systems and one layer. For specialist AEO measurement at the enterprise tier, Profound and Athena HQ are strong analytics-first products. For full three-layer coverage (output, owned site, third-party ecosystem) plus the Source Intelligence and Brand Agent layers, Kodiac is purpose-built. The right answer is whichever fits your operating model. Sign up for a month with Kodiac to see your starting position before committing to any platform.
For brands with active AI visibility programmes, a weekly scan is the operational baseline because AI outputs vary run-to-run. Monthly board-level reports are the standard cadence for executive accountability. Alerts should fire on critical events: sudden visibility score drops, new inaccuracies appearing, or competitor displacement on high-priority queries.
All six major AI systems: ChatGPT (OpenAI), Perplexity, Google Gemini, Anthropic Claude, xAI Grok and Meta AI. Single-engine monitoring is insufficient. Each system has different source preferences. Perplexity over-indexes on Reddit. ChatGPT favours Wikipedia and structured publications. Claude prefers authoritative English-language earned media. A monitoring strategy that only covers ChatGPT misses roughly a third or more of buyer interactions.
Yes. Competitive benchmarking is included in every plan. Tracked competitors draw on your monthly allowance of Kodiac Tokens. Competitors are tracked across the same buyer-intent queries you run for your own brand. The competitive view shows where competitors win on share of voice, recommendation rate and recommendation position, plus the AEO gap finder, which scores the buyer questions where competitors appear and you do not.
Most organisations begin with the audit. Content gets the information behind the answers approved and kept current. The agent is where it leads.
See how AI describes your organisation and identify what needs attention.
Explore AuditConnect and maintain trusted information for AI to use.
Explore ContentVisibility is the entry point. The destination is a Brand Agent of your own: one your customers and their AI can ask directly, answering only from information you have approved, remembering with permission, on the AI model you choose.
Explore Kodiac AgentTracking is where control begins. Scan your brand across six AI systems. Set a weekly or monthly cadence for each brand.