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Generative engine optimization platform

Generative engine optimization tools for AI search

Measure where your brand appears, trace the sources shaping AI answers, diagnose citation gaps, and turn GEO evidence into review-ready marketing work.

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Lantern GEO dashboard showing AI visibility, citations, competitors, and cited sources

Measure visibility across

ChatGPTGoogle AI OverviewsGeminiPerplexityClaude

A clear definition

What is generative engine optimization?

Generative engine optimization, or GEO, improves how clearly and accurately a brand, product, or source can be understood, retrieved, mentioned, and cited in AI-generated answers.

GEO adds prompts, answer coverage, citations, cited domains, recommendation position, sentiment, and AI referral traffic to the technical, content, entity, and authority signals familiar to SEO teams.

It does not guarantee inclusion in an answer. Models and retrieval systems change, and outputs vary by prompt and context. GEO gives teams evidence about current visibility and a disciplined way to improve the signals they control.

How GEO works

What makes a source useful to generative engines?

There is no single GEO ranking formula. Source selection typically depends on whether information is available, relevant, well-supported, and credible for the question being answered.

/01

Accessible

Crawlers and retrieval systems need to reach, render, and interpret the relevant page and its supporting resources.

/02

Relevant

The content needs to answer the real question clearly, cover the topic deeply, and match the user and market context.

/03

Supported

Specific claims are stronger when they include verifiable facts, original evidence, qualified sources, and clear attribution.

/04

Authoritative

Consistent entities, independent mentions, useful references, and topical expertise help systems assess whether a source is credible.

GEO toolset

Measure, diagnose, and improve AI visibility

Connect the answer, source, competitor, technical, and execution layers of a GEO program in one workspace.

Visibility

01

Prompt and answer monitoring

Track high-value questions across generative engines and see when, where, and how your brand appears in their responses.

Citations

02

Citation and source analysis

Identify the domains and pages supporting AI answers, then examine which sources recur across topics, engines, and competitors.

Competition

03

AI share of voice

Compare mentions, citations, recommendation position, and answer coverage with the brands competing for the same demand.

Research

04

Query fanout mapping

Expand one customer question into the related subqueries, entities, comparisons, and evidence a generative system may investigate.

Technical

05

AI crawler readiness

Check whether major AI crawlers can access your site and find technical directives that may limit discovery or retrieval.

Content

06

GEO content opportunities

Find missing answers, weak evidence, unclear entities, structural gaps, and source opportunities in existing or planned content.

Execution

07

GEO agent workflows

Turn verified gaps into audits, briefs, FAQs, comparison pages, content refreshes, and new assets for team review.

Reporting

08

AI visibility reporting

Connect prompt coverage, citations, competitors, referral traffic, and completed work in one stakeholder-ready view.

A measurable GEO workflow

Move from AI answer to informed action

  1. /01Measure

    Build the prompt set

    Map the questions buyers ask while discovering, comparing, validating, and choosing solutions in your category.

    Stage output

    Priority query universe

  2. /02Diagnose

    Inspect answers and sources

    Compare engines, competitors, citations, sentiment, answer accuracy, and the pages shaping each response.

    Stage output

    Evidence-backed gaps

  3. /03Improve

    Strengthen the right signals

    Improve accessibility, answer clarity, entity context, factual support, source value, and topic coverage where evidence supports it.

    Stage output

    Review-ready work

  4. /04Learn

    Measure the change

    Monitor new answers, citations, competitor movement, and referral outcomes, then use the evidence to choose the next action.

    Stage output

    Updated GEO priorities

GEO agent execution

Turn citation gaps into review-ready work

Use specialized agents for query research, competitor audits, content briefs, FAQs, comparison pages, source reviews, and GEO optimization.

  • Grounded in current AI-visibility evidence
  • Aligned with shared brand and product context
  • Returned to your team for review and approval
Explore marketing agents
Lantern agent workspace for GEO research, content, audits, and optimization

GEO, SEO, and AEO

Related disciplines with different visibility signals

The disciplines overlap. The main difference is the discovery surface and the evidence used to measure whether optimization is working.

AreaSEOAEOGEO
Primary surfaceRanked search results and search featuresDirect answers and answer boxesGenerative and conversational AI answers
Demand modelKeywords, queries, and search intentQuestions and concise answer intentPrompts, query fanout, journeys, and comparisons
VisibilityRankings, impressions, clicks, and trafficAnswer inclusion and featured-result ownershipMentions, citations, recommendation position, and share of voice
Shared foundationTechnical access, useful content, authority, entities, evidence, and clear structureTechnical access, useful content, authority, entities, evidence, and clear structureTechnical access, useful content, authority, entities, evidence, and clear structure

GEO resources

Investigate your AI-search readiness

Free tool

Map how one query fans out

Explore the related questions, entities, and research paths a generative system may use before composing an answer.

Open resource

Free tool

Check access for AI crawlers

Test whether leading AI user agents can access your site and review the directives affecting crawler discovery.

Open resource

Playbook

Build content that earns citations

Learn how answer structure, original evidence, source authority, and useful information support AI-search visibility.

Open resource

Generative engine optimization FAQ

Questions about GEO tools and strategy

Direct answers about GEO, AI citations, measurement, and the relationship with SEO and AEO.

What is generative engine optimization?

Generative engine optimization, or GEO, is the practice of improving how clearly and accurately a brand, product, or source is understood, retrieved, mentioned, and cited in AI-generated answers. GEO combines technical accessibility, content quality, entity clarity, evidence, authority, and measurement across generative search experiences.

How is GEO different from SEO?

SEO primarily measures visibility in ranked search results through rankings, impressions, clicks, and organic traffic. GEO also measures prompts, AI mentions, citations, recommendation position, answer accuracy, and competitive share of voice. GEO extends strong SEO foundations rather than replacing them.

What is the difference between GEO and AEO?

Answer engine optimization focuses on making information suitable for direct answers. Generative engine optimization focuses more broadly on how generative systems retrieve sources, synthesize information, describe entities, and cite or recommend brands. In practice, AEO, GEO, and SEO overlap.

Can GEO guarantee citations in ChatGPT or other AI engines?

No. No platform can guarantee a citation or recommendation because generative answers vary by model, retrieval system, prompt, market, and time. GEO provides evidence about current visibility and helps teams improve the signals they control.

What should a GEO tool measure?

A useful GEO tool should measure prompt coverage, brand mentions, citations, cited sources, competitors, recommendation position, answer accuracy, sentiment, share of voice, and AI referral traffic. It should also connect those findings to clear actions and ongoing measurement.

Which generative engines can Lantern monitor?

Lantern monitors major AI discovery surfaces including ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews. Coverage can vary by market and program configuration.

How do Lantern's GEO agents work?

Lantern agents use AI-visibility evidence and shared brand context to complete defined workflows for research, audits, briefs, FAQs, content, and optimization. The work returns to marketers for review, revision, approval, and publishing.

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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