Cross-platform visibility is your brand’s presence across multiple AI platforms—such as Perplexity, ChatGPT, Claude, Google AI Overviews/AI Mode, and Microsoft Copilot. Because each platform prioritizes sources and formats differently, measurement and optimization must be platform‑aware.
Why cross-platform visibility matters
- Audience reach: Different platforms attract different segments and use cases.
- Risk diversification: Reliance on a single platform creates volatility.
- Strategy calibration: Tactics that win on one platform may not transfer.
How to measure
- Platform‑level metrics: Mention frequency, citation frequency, share‑of‑voice, and brand sentiment in AI.
- Normalization: Account for platform style (citations vs no citations, conversational length, refresh cadence).
- Tagging: Compare by topics, products, and campaigns to isolate drivers.
LLM Pulse aggregates metrics by platform and tag, enabling comparisons and competitive benchmarking across your landscape.
Optimization playbook
Perplexity rewards clear structure and current information. We add TLDR summaries, tables, and visible update notes to cornerstone pages and publish original data where possible. Google AI Overviews and AI Mode respond to definitive explainers, consistent schema, and evaluations that answer common questions directly. ChatGPT and Claude benefit when our brand entity is explained in multiple reputable sources and when comparison content is honest and well organized. In Microsoft Copilot contexts we prioritize technical discoverability and buyer friendly guidance that maps to common office workflows.
Reporting tips
We present platform tabs separately and then roll up into an executive overview. We annotate content changes when we release them so we can correlate timing with visibility shifts. We also call out which tactics seem to transfer across platforms and which require tailoring. For example, a comparison table can lift Perplexity citations quickly, while a third party expert quote may do more for ChatGPT or Claude.
LLM Pulse metrics to compare
- Mention frequency and share‑of‑voice by platform and tag.
- Citation frequency and citation prominence.
- Brand sentiment in AI and positioning phrases.
Example strategy shifts
When Perplexity lags we add comparison tables, include visible dates, and publish fresh data that clarifies tradeoffs. If Google AI is behind we strengthen cornerstone explainers, improve schema, and add FAQs with direct answers. If ChatGPT or Claude are flat we broaden authority with guest posts, expert quotes, and review platform improvements that describe who we are best for.
Pitfalls
One tactic does not work everywhere. Perplexity shows multiple citations while some assistants do not, which affects both optimization and how we measure results. We avoid comparing platforms without normalization and we do not change prompts week to week, which would break the trend lines.