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AI marketing agent platform

AI marketing agents that turn search data into action

Lantern connects AI-search visibility, SEO performance, brand knowledge, and specialized agents so your team can move from evidence to review-ready marketing work in one workspace.

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Lantern library of specialized AI marketing agents for research, SEO, content, and growth workflows

Purpose-built execution

What is an AI marketing agent?

An AI marketing agent is a specialized system that follows a defined workflow to complete a specific marketing job. It can gather context, use connected data and tools, execute multiple steps, and return a structured result.

Lantern agents are not generic chatbots working from isolated prompts. They share your brand knowledge and begin with evidence from AI search, organic search, competitors, citations, and your own performance data.

The goal is controlled execution: more capacity for repeatable research and production work, while marketers retain strategy, judgment, and approval.

How AI marketing agents work

One connected operating loop

Each specialist owns a stage, carries the same evidence and brand context forward, and hands a defined output to the next step. Your team directs the loop.

  1. /01Signal

    Observe the market

    Agents start with live AI-search, SEO, competitor, citation, and first-party performance signals instead of a blank prompt.

    Stage output

    Live market evidence

  2. /02Decision

    Prioritize the opportunity

    They compare the evidence with your goals and brand context to identify the work most likely to improve discovery and authority.

    Stage output

    Ranked next actions

  3. /03Execution

    Execute a defined workflow

    A specialized agent researches, plans, drafts, optimizes, or audits the work using a repeatable process and a clear output contract.

    Stage output

    Structured marketing work

  4. /04Control

    Return work for review

    Your team reviews the evidence and output, requests changes, and controls publishing, outreach, campaign changes, and spend.

    Stage output

    Approved handoff

Shared context at every stage

Brand knowledge Audience and product context Goals and performance data Permissions and review rules

Specialized workflows

AI agents for real marketing work

Deploy the workflow you need, with a defined job and output instead of another open-ended conversation.

Measurement

01

AI visibility reporting

Measure brand mentions, citations, share of voice, competitors, and answer accuracy across the AI platforms your buyers use.

Research

02

Competitor and citation research

Investigate why competing brands are recommended, which sources influence answers, and where your strongest opportunities sit.

Planning

03

Keyword and query research

Map traditional search demand and conversational AI prompts into a prioritized research plan for your market.

Strategy

04

Content briefs

Turn verified gaps into structured briefs with audience, intent, evidence, source, internal-link, and review requirements.

Production

05

Content creation

Produce grounded drafts, pillar pages, FAQs, comparison content, and supporting assets from approved research and brand context.

Governance

06

Trust and quality review

Check claims, statistics, sources, attribution, and brand alignment before work moves toward publishing or distribution.

Shared brand intelligence

Ground every agent in what makes your brand credible

Give agents the context they need once, then apply it across research, planning, creation, and review.

  • Positioning, products, audiences, and approved claims
  • Brand voice, editorial rules, and source material
  • Competitors, goals, performance data, and workflow permissions
Lantern brand knowledge base providing approved context to AI marketing agents
Lantern workspace showing specialized agents and controlled marketing workflows

Autonomous, not uncontrolled

Your team keeps the final say

Agents can complete multi-step work and prepare outputs at scale. People remain responsible for direction, quality judgment, and consequential decisions.

Configure the workflow, review the evidence, revise the result, and approve publishing, outreach, campaign changes, or spend according to your operating model.

Compare Lantern plans

Connected execution

Agents that fit your marketing stack

Bring performance signals into Lantern, run a specialized workflow, and move approved work into the systems your team already uses.

Explore all integrations

01 / Connected evidence

Start with real performance signals

  • Google Search ConsoleSEO & Search
  • Google AnalyticsAnalytics
  • Google AdsAdvertising
  • ChatGPT AdsAdvertising

02 / Lantern agents

Turn evidence into defined work

Research, prioritize, create, optimize, and audit with your brand context and review rules applied throughout.

Human checkpoint

Review, revise, and approve

03 / Approved handoff

Move work into existing systems

  • SanityCMS
  • ContentfulCMS
  • WordPressCMS
  • HubSpotCRM
  • SlackNotifications

AI marketing agent FAQ

Questions about marketing agents

Clear answers on workflows, brand context, control, and the role of your team.

What is an AI marketing agent?

An AI marketing agent is a specialized system that follows a defined workflow to complete marketing work such as research, analysis, planning, drafting, or optimization. Unlike a general chatbot, an agent works toward a specific outcome using available context, data, and tools.

How do Lantern's AI marketing agents work?

Lantern agents combine AI-search visibility, SEO performance, competitor evidence, citation sources, and your brand knowledge. Each agent follows a specialized workflow, produces a structured output, and returns the work to your team for review.

What marketing tasks can Lantern agents complete?

Lantern agents support AI visibility reports, competitor audits, keyword and query research, content briefs, pillar articles, FAQs, content refreshes, SEO recommendations, presentations, advertising preparation, and trust QA.

Can Lantern agents publish content automatically?

Lantern can connect agent workflows to publishing and distribution systems, but consequential actions should follow your configured permissions and approval process. Your team controls whether and when content, outreach, campaigns, or spend go live.

How do AI agents keep marketing work on brand?

Agents use shared brand context including positioning, voice, audiences, products, approved claims, source material, and guidelines. That context is applied throughout the workflow rather than added only after a draft is produced.

Do AI marketing agents replace a marketing team?

No. They add research and execution capacity for repeatable work. Marketers still set strategy, choose priorities, judge quality, redirect workflows, and approve actions with external or hard-to-reverse consequences.

From visibility to action

Make your next marketing move with evidence.

Connect your brand context, understand where demand is moving, and put specialized agents to work on the opportunities that matter most.

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