LLM Pulse is an all-in-one AI search platform built for global brands. Track up to 14 AI models across every market and language, pipe results into your BI stack, and keep access control in one place.
Track up to 14 models on Enterprise and route one consistent metric set into the BI stack your teams already govern.
BI Reporting
When five regions each compute their own AI visibility number, the QBR turns into an argument about methodology. The Looker Studio and Power BI connectors feed every market identical metric definitions from one source, so the slide leadership reads matches what each regional team reports. Dashboards refresh on their own before the quarterly review.
Data Stack
Procurement signs off on one platform and every team builds on it. The MCP server connects your analysts' AI assistants straight to visibility data, while the REST API, CLI, and webhooks feed the warehouse. Which brands lost share in APAC this quarter becomes a question typed into an assistant, answered before the meeting starts.
Share of Voice
Each brand in your portfolio holds a measurable share of the AI answers in its category, against its own competitive set. Repeat the view per country and the pattern appears fast: strong in the US, trailing in France, ceding ground to a local player in Japan. Budget reallocation finally has a number attached.
The coverage, integrations, and governance a global brand needs to run AI visibility as an ongoing program.
Enterprise plans add Grok, Claude, Copilot, Meta AI, DeepSeek, Qwen, MiniMax, Mistral, and Amazon Rufus to the 5 standard models.
Run prompts in multiple countries and languages per project and compare how AI models answer the same question in each market.
Give each brand, region, or business unit its own project and move between them inside a single account.
REST API, MCP, CLI, webhooks, and connectors for Looker Studio and Power BI move the data where your teams already work.
Ingest CDN and server logs from Cloudflare, Akamai, AWS CloudFront, Fastly, and more to see which AI agents visit which pages.
Unlimited team members, granular member permissions with reusable roles, and white-label dashboards you can embed in internal portals.
How global teams roll out AI visibility tracking across brands and markets.
Create a project per brand and market, then load the prompts your buyers actually ask in each language.
Prompts run weekly across the AI models on your plan, up to 14 on Enterprise, and capture mentions, positions, citations, and sentiment.
Push results to Looker Studio, Power BI, or your warehouse through the API, and set webhooks for the changes you care about.
Assign roles to your team, embed white-label dashboards for stakeholders, and brief regional teams on the gaps the data exposes.
How enterprise teams put LLM Pulse to work.
See where a brand leads in one country and trails in another, then direct budget to the market that needs it.
Feed one consistent set of visibility metrics to every regional team through the BI connectors.
Embed white-label dashboards so brand and comms teams check AI visibility without learning a new tool.
Track Grok, DeepSeek, or Amazon Rufus where a specific market or category depends on them.
"After noticing rising visits from various LLMs in GA4, we needed visibility into those black boxes. LLM Pulse gave us the clarity to understand our brand's evolution and shape new strategies to boost our exposure."
Common questions from enterprise teams evaluating LLM Pulse.
Original research on how AI models cite sources and pick winners across industries.
Read moreEmbed branded LLM Pulse dashboards in internal portals so stakeholders get the numbers without another tool.
Read morePull visibility data into the reports your leadership already reads.
Read moreRequest a demo and walk through your markets, models, and reporting requirements with the team.
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