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Get up and running in three steps

Lantern Agents monitor your brand across every major AI engine, surface citation gaps, and run content workflows — all without manual effort. Here’s how to get started.

Step 1: Create your account

Visit asklantern.com and create your free account. No credit card required for your 7-day trial.
Complete your brand profile so Lantern knows what to track:
  1. Company name and website URL — your primary brand identity
  2. Key products or services — Lantern will monitor mentions of each
  3. Competitors (optional) — benchmark your visibility against them
  4. AI platforms to monitor — ChatGPT, Perplexity, Gemini, Google
Lantern begins tracking your brand immediately after setup.

Step 2: Configure monitoring

Define the queries you want to monitor across AI platforms:
  • Comparison queries — “What are the best [product category]?”
  • Direct brand queries — “Tell me about [your brand]”
  • Use case queries — “Best solution for [specific need]”
  • Competitive queries — “Compare [your brand] vs [competitor]“
Start with 5–10 high-priority prompts and expand from there.
Add Lantern’s attribution snippet to your site to measure AI-driven traffic:
Place this in your site’s <head> to start attributing AI-referred sessions to revenue.

Step 3: Deploy your first agent

Go to Agents in the sidebar and click New Agent. Choose from ready-made templates — Blog Article Pipeline, AI Search Optimisation Article, Competitor Analysis — or build your own.Agents run in the background on Lantern’s servers. When finished, results appear in Run History with every step, output, and data point logged.See Agents — Getting Started for a full walkthrough.

What you’ll see in your dashboard

Brand Monitoring

Real-time view of how every major AI engine represents your brand

Citation Sources

Which websites AI cites when talking about your brand — and the gaps

Traffic Attribution

Every AI-referred session traced through to conversion and revenue

Agent Run History

Full logs of every agent run — steps, tool calls, outputs, and timing