LLM Pulse + Ranqer: the affordable full stack
LLM Pulse is the mid-market AI visibility platform with transparent pricing and a real API. Ranqer is the content engine that moves the numbers LLM Pulse reports. Together they're the only stack under $250/month that covers both measurement and content execution for AI search.
What is LLM Pulse?
LLM Pulse is an all-in-one AI search visibility tracker covering ChatGPT, Perplexity, Gemini, Google AI Mode, AI Overviews, and Claude. The platform tracks branded prompts over time, analyses citations, runs sentiment on AI responses, and benchmarks Share of Voice against competitors.
The positioning is deliberately middle-of-the-market. More capable than basic mention-tracking tools (Otterly, AI Peekaboo), more accessible than enterprise-only platforms (Profound, Scrunch). Every tier includes unlimited team seats, a real REST API, Looker Studio connector, and MCP integration — features that usually live behind enterprise paywalls elsewhere.
A few things make LLM Pulse unique in the category: app store visibility tracking (iOS and Google Play), multi-project support on every plan from €49, white-label from the Growth tier, and transparent published pricing with no 'contact sales' tier until the top. Built for agencies running multiple client accounts and in-house teams that want API-level integration.
Who it's for
Agencies managing multiple clients, in-house marketing teams with a technical stack, and mid-market brands (Series A-C) that want enterprise-class tracking without enterprise pricing. Under $200/month retainer thinking, LLM Pulse Starter still fits. Teams serving one brand with a €49 budget and no API needs should look at Otterly instead.
Key features
Multi-model tracking
5 core AI models on every plan: ChatGPT, Perplexity, Gemini, Google AI Mode, AI Overviews. Claude adds on higher tiers.
Full REST API + MCP
Every plan includes API access, CLI, and MCP integration. Query visibility data, push tags and annotations, wire into Claude or your own dashboards.
Competitor Share of Voice
Benchmark up to 25 competitors by plan. See exactly which prompts name your competitor and skip you, with sentiment diff over time.
App store visibility
Unique to LLM Pulse. Track whether AI models recommend your iOS or Android app for category queries. Especially valuable for mobile-first SaaS.
LLM Pulse pricing
Annual plans save 17% (2 months free). 14-day free trial on every tier. Growth (€99) is the sweet spot for most teams — enough prompts for a real AEO program plus white-label for agency use.
The gap every tracker has
46.7%
of Perplexity top-10
citations are Reddit
Profound, 680M citations
24%
of all Perplexity
citations are Reddit
Tinuiti Q1 2026
+73%
Reddit citation share
growth Oct 2025 → Jan 2026
Tinuiti Q1 2026
These numbers come from independent research — Profound's own 680-million-citation study and Tinuiti's Q1 2026 AI Citation Trends Report. The takeaway is the same regardless of which tracker you use: AI models lean heavily on Reddit.
Ranqer is the content engine that feeds what LLM Pulse measures.
LLM Pulse tells you the score. Ranqer plays the game. We find active Reddit threads where your buyers are asking about tools in your category, draft comments in a real user voice, and post them from vetted human accounts. Those threads are the exact content that ChatGPT, Perplexity, and AI Overviews cite when building answers, which is what LLM Pulse measures. LLM Pulse Growth (€99) plus Ranqer ($129) is a complete AI visibility stack for under $250/month — the only combination at that price that covers both measurement and execution.
See what Ranqer would post for youThe LLM Pulse + Ranqer loop
LLM Pulse runs your tracked prompts across ChatGPT, Perplexity, Gemini, and AI Overviews. Surfaces where your brand is named, where it's hedged, and where competitors take the slot.
Use the LLM Pulse API or Looker Studio connector to export prompts where your mention rate is zero or dropping. This becomes the targeting list for the content layer.
Ranqer finds live Reddit threads mapped to those gap prompts, drafts contextual comments, and posts from vetted accounts. Threads feed back into AI model training and real-time retrieval within days.
LLM Pulse re-tracks the same prompts on its daily cadence. Gap prompts move from absent to specific, sourced recommendations — visible in the Share of Voice dashboard within 3-6 weeks.