Brand monitoring in AI is our practice of tracking how platforms such as ChatGPT, Perplexity, Google AI Overviews, Claude, and Microsoft Copilot reference and characterize us in generated answers. This goes beyond social listening and traditional alerts. We measure mention frequency, positioning language, AI citations, and brand sentiment in AI, then act on what we learn.
Monitoring matters because answer engines increasingly resolve queries without clicks. Visibility now depends on inclusion and representation inside the AI’s output—not just rankings on a results page.
What to monitor
- Mentions and share‑of‑voice across a stable prompt set.
- Positioning language and narrative consistency (strengths, use cases, differentiators).
- Sentiment trends by platform, topic, and competitor context.
- Citation mix and prominence (which URLs are cited and in what position).
- Volatility and recency effects (how often answers change; impact of updates).
How we structure our monitoring
- Define scope and competitors: We select categories, use cases, and named competitors to benchmark.
- Build a prompt library: We cover discovery (best for), education (what is), and comparison (X vs Y) prompts.
- Tag for analysis: We organize prompts by topic, product, region, and campaign.
- Set cadence and alerts: We track weekly by default and switch to daily during launches or high volatility periods.
- Review dashboards and drill‑downs: We identify gaps, misrepresentations, and content opportunities by reading full answers and citations.
- Iterate content and outreach: We publish extractable resources, update cornerstone pages, and pursue authoritative coverage.
How the product helps
Our prompt tracking automates collection of full answers across platforms. Competitive benchmarking visualizes mention share and trends versus competitors. Citation analysis shows which pages drive inclusion and where we rank in citation lists. Sentiment analysis quantifies tone to identify risks and wins. Dashboards and exports support team workflows and reports.
Measuring success
- Inclusion rate: Mentions across priority prompts increase and stabilize.
- Accuracy: Positioning language matches current capabilities and differentiators.
- Sentiment: Net positive tone by platform and topic.
- Citations: Growth in citation frequency and earlier positions for key pages.
- Competitive movement: Gains in share‑of‑voice across platforms.