Daily monitoring of how AI describes your brand across ChatGPT, Perplexity, Gemini, Claude and Copilot. Citation rate. Share of voice. Sentiment. Inaccuracy alerts. Source attribution. Designed for marketing leaders who need a defensible measurement layer for AI visibility. Tracking is Phase 1 of the Kodiac journey — where control starts, not where it ends.
Tracking AI brand mentions requires running a structured set of buyer-intent queries against every AI system on a daily 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 and Microsoft Copilot 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 daily so changes show up fast. Trend lines roll up to weekly, monthly, quarterly views for board-level reporting. Critical alerts (sudden score drops, new inaccuracies, new competitor displacement) fire in real time.
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 0-10. 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.
The free three-layer audit gives you a one-time, board-ready snapshot across all five AI systems in 60 seconds. Continuous tracking requires Kodiac Audit Starter at £499/month - weekly audits across up to 500 buyer-intent queries a month, inaccuracy alerts, and competitive benchmarking against two tracked competitors.
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 daily monitoring across ChatGPT, Perplexity, Gemini, Claude, and Microsoft Copilot from a single dashboard.
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. Run a free Kodiac audit to see your starting position before committing to any platform.
For brands with active AI visibility programmes, daily monitoring is the operational baseline because AI outputs vary run-to-run. Weekly review of trends is sufficient for most marketing leaders. Monthly board-level reports are the standard cadence for executive accountability. Real-time alerts should fire on critical events: sudden visibility score drops, new inaccuracies appearing, or competitor displacement on high-priority queries.
All five major AI systems: ChatGPT (OpenAI), Perplexity, Google Gemini and AI Overviews, Anthropic Claude, and Microsoft Copilot. 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 built into every Kodiac Audit plan — Starter tracks two named competitors, with more on Growth and Enterprise. 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 citation share, plus a competitive gap analysis with attribution to the specific Source Intelligence factor driving the gap.
Tracking tells you what AI is saying. It cannot, by itself, change what AI knows. Organisations have lost control over how AI understands them — that is the problem underneath every visibility score. Kodiac is the control layer for AI-mediated discovery, built as three phases of one journey.
Phase 1 · Understand what AI is doing
See how AI currently understands your organisation — diagnosis, benchmarking and prioritised recommendations across the major AI systems.
Learn more →Phase 2 · Influence what AI does
Actively improve how AI understands you — structured content, schema, taxonomy, knowledge graphs, governance and API delivery across your existing systems.
Learn more →Phase 3 · Become the system AI depends on
Participate directly in AI-mediated decisions — a governed Brand Agent serving trusted, real-time answers over MCP and trusted APIs.
Learn more →Tracking is where control begins. Run a free three-layer audit. All five AI systems. No credit card. Then upgrade to continuous monitoring at £499/month.