The Marketing Agent Workspace for AI Search

When Lantern launched, the core promise was AI search visibility. To know where your brand appears across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews, and understand which AI engines are citing you, and which aren't.

That promise hasn't changed. But the platform has grown considerably around it.

Lantern is now the agent workspace for marketing teams.

It monitors your brand across every major AI engine, maps citations to the pipeline, and deploys content workflows that close the gap between what AI says about you and what you want it to say.

Here's what's new, what's changed, and what it means for your team.

Why Lantern Evolved

You’ll notice that for most GEO and AI search tools, the workflow stops at the data layer. These tools:

• Surface what competitors are winning
• Flag where you're absent
• Hand that analysis back to your team to figure out what to do next

That gap between insight and published content is where most marketing teams lose time. Your team will need to write briefs, assign topics, wait on drafts, manage approvals, and publish, which could take days or sometimes weeks.

Lantern repositioned its product offering to remove this delay. It shifts this into a direct path from data to decision to execution. When visibility drops, the system doesn't wait for a team to notice. It responds by generating content and optimizing your presence.

The repositioning also reflects a larger shift, as AI search is becoming a major acquisition channel.

People are increasingly asking AI models questions that immediately influence buying decisions.

But unlike traditional search, AI-generated answers are shaped by citations, source authority, semantic relevance, and how AI engines interpret information across the web.

That means brands now need visibility strategies tailored to AI models. Lantern helps marketing teams operate in that new environment.

What Lantern Now Covers

Lantern is no longer just an AI search analytics tool. It covers:

AI Search Monitoring

Lantern continuously monitors ChatGPT, Perplexity, Gemini, Google AI Overviews, and Claude to capture how often, where, and in what context your brand appears. These results are then aggregated into dashboards that track mentions, sentiment, citation frequency, AI-driven traffic, and competitive benchmarks over time.

Autonomous Marketing Agents

At the core of Lantern is a network of coordinated agents. You can now connect your existing stack, including Google Search Console, WordPress, and HubSpot, and activate agents that research citation gaps, generate structured content, and publish directly to your CMS.

You won’t need an analyst to interpret the output; the system is designed so content teams and growth marketers can act on it immediately. The Monitor Agent runs continuously after every visibility scan, finding gaps and acting on them without waiting for a prompt.

These agents can support workflows like:

• Researching content opportunities
• Creating AI-optimized drafts
• Identifying semantic gaps
• Improving citation visibility
• Monitoring performance over time

AI Visibility and SEO in One Dashboard

Traditional SEO metrics alone no longer tell the full story.

A brand may rank highly on Google while barely appearing in AI-generated recommendations.

These AI-generated answers now influence discovery before users ever reach a results page.

Lantern now tracks both AI search and SEO in the same place. With these capabilities, you get sitemap validation, keyword rankings, Google Search Console integration, schema markup audits, core web vitals, alongside site audit signals that influence AI citation frequency.

You can also see which pages rank well in Google and compare them to what's being cited in AI answers and optimize accordingly.

Attribution That Reaches Revenue

One of the persistent challenges in AI search has been proving that it delivers measurable results. Marketing teams need better ways to measure the contribution of AI-generated discovery to revenue.

Lantern's attribution layer resolves that. Every AI-referred session is tracked through to on-site conversion. Teams can begin understanding:

• Which AI platforms drive engagement
• Which citations influence conversions
• Which content formats contribute to the pipeline
• How AI traffic behaves differently from traditional search traffic

Who Lantern Is Built For

The platform is designed for:

• Marketing and content teams, you don’t require any coding or complex configuration.
• For teams focused on content output, Lantern's content workflow is a practical starting point for scaling production without adding headcount.
• SEO teams have their own entry point. Lantern extends the existing SEO strategy into AI citations without requiring a parallel workflow.
• For agencies managing multiple clients, Lantern provides a consolidated view. You get visibility into how each brand appears across AI engines, with per-client reporting on citation frequency and competitive positioning.

Getting Started With Lantern

The new Lantern is ultimately built around the fact that marketing is entering an AI-first era.

One way to win attention in this environment is to work with systems that help you understand how AI engines perceive your brand and continuously improve your visibility.

Initial AI visibility tracking begins as soon as you connect your site. Before agents write a single word of content, they need context about your brand. Setting up your Brand Kit is the recommended first step; it ensures every piece of output sounds like it came from you.

Deploy your first always-on marketing agent today and keep your pages optimized 24/7!