Become easier for AI answer engines to understand and cite

AI Search Optimization, GEO & AEO

Lemon SEO improves AI visibility across ChatGPT, Claude, Perplexity, Gemini, Copilot, Google AI Overviews, and other answer engines through GEO, AEO, entity optimization, source corroboration, structured content, and citation monitoring.

AI Search Model

Entity Clarity, Source Signals, and Citation Paths

AI Search work connects the brand entity, supporting sources, answer-ready pages, schema, and monitoring so answer engines can retrieve accurate information with more confidence.

Abstract AI Search and GEO system showing entity nodes, source verification paths, and citation signals.
🚀 Why Now

Search Is Changing Fundamentally

AI Search Optimization is the work of making a brand easier for answer engines to understand, verify, and cite. GEO and AEO do not replace SEO. They extend it. If your site, entity profile, content, schema, and external mentions are unclear, AI systems have less confidence when answering buyer questions.

Our AI visibility work combines prompt research, citation baselines, entity cleanup, answer-ready content, schema, FAQ improvements, external source mapping, and monthly monitoring.

The goal is not to manipulate AI answers. It is to make accurate, source-supported information about your company easier to retrieve.

📊 What We Measure

Mentions
brand inclusion across strategic buyer prompts
Citations
which sources answer engines use to support claims
Accuracy
factual consistency across AI-generated answers
Competitors
share of answer visibility on comparison prompts
🤖 What is GEO?

Generative Engine Optimization

GEO and AEO are practical extensions of SEO: make useful facts easier to crawl, understand, verify, and cite. Here are the main surfaces we review.

💬

ChatGPT & Claude

We check how your brand appears in recommendation, comparison, and buying-advice prompts, then improve the source signals that make accurate citations more likely.

🔮

Perplexity

We audit citation sources, competitor mentions, answer positioning, and source quality so Perplexity can verify the facts you want associated with your brand.

Google AI Overviews

We review query triggers, cited sources, on-page answer structure, and overlap with classic search results to improve AI Overview readiness.

Platform Visibility focus Typical checks
ChatGPT Brand/entity mentions, source-supported recommendations, answer consistency. Prompt set, competitor comparison, citation/source review.
Claude Entity clarity, explanatory content, evidence and provenance signals. Prompt set, source map, factual consistency review.
Perplexity Citation visibility and source inclusion for commercial and educational prompts. Cited page audit, source quality, competitor citations.
Gemini Google ecosystem signals, entity understanding, and helpful source coverage. Entity audit, schema review, content coverage gaps.
Google AI Overviews Eligibility for cited answers and overlap with organic search signals. SERP checks, structured content review, source corroboration.
Copilot Bing-indexed source coverage and entity consistency. Bing visibility, source mentions, answer sampling.

What Google AI Optimization Is Not

  • Not `llms.txt` as a Google ranking requirement.
  • Not chunking pages only for Google AI Overviews.
  • Not rewriting content only for bots.
  • Not creating fake mentions, fake reviews, or unsupported citations.

What We Actually Improve

  • Entity consistency across the site and trusted external sources.
  • Answer-ready sections that help users compare services and next steps.
  • Source and citation maps for claims that need corroboration.
  • Schema and FAQ where the same information is visible on the page.
  • Monitoring for sampled mentions, citations, and factual accuracy.
🧠 How AI Thinks

Signals We Review for AI Answers

Different systems use different retrieval and ranking methods, but clear facts, credible sources, useful page structure, and consistent external corroboration make answers easier to verify.

📚 Source Authority

LLMs prioritize information from authoritative, well-known sources. This means Wikipedia presence, citations on industry publications, mentions in educational resources, and links from .org, .edu, and trusted media domains. We build these authority signals systematically.

📝 Content Structure

AI models extract information more reliably from well-structured content: clear factual statements, comprehensive FAQ sections, proper schema markup, and entity-rich descriptions. We restructure your content to be "LLM-readable" without sacrificing human readability.

🔄 Freshness & Consistency

LLMs are trained on recent data. Brands that consistently publish fresh, factual, and well-cited content are more likely to be included in training sets and retrieved during inference. We create a content cadence that keeps your brand in the AI's "memory."

🌐 Multi-Source Corroboration

When multiple independent sources confirm the same fact about your brand, LLMs are more likely to cite it confidently. We orchestrate mentions across review sites, industry directories, press releases, and niche publications — building a web of corroborating signals.

🔧 Our Process

AI Citation Workflow

AI Search work supports normal SEO: crawlable pages, clear entity facts, useful content, schema where appropriate, and source corroboration. No ranking hacks or bot-only rewrites.

  1. Prompt set Define buyer, comparison, problem, and brand prompts to sample how answer systems describe the market.
  2. Entity audit Check whether your site, profiles, and external mentions agree on who you are, what you do, and where you operate.
  3. Source and citation map Map cited pages, competitor sources, directories, expert pages, and missing corroboration for important claims.
  4. Answer-ready content Improve headings, summaries, FAQs, comparison copy, evidence blocks, and internal links while keeping content useful for people.
  5. Schema and FAQ Add structured data only where the same information is visible on the page and useful for normal search features.
  6. Monitoring Track sampled mentions, citation sources, accuracy issues, and page changes so the work remains grounded in evidence.
📋 Deliverables

What You Get

📦 GEO Package Includes

  • Comprehensive AI citation audit (all major platforms)
  • AEO / Answer Engine Optimization prompt set
  • AI visibility baseline and monitoring dashboard
  • Competitor citation analysis
  • Authority signal building strategy
  • Content optimization for LLM extraction
  • Schema markup implementation (FAQ, HowTo, Product)
  • Wikipedia and knowledge base strategy
  • Monthly citation monitoring dashboard
  • Quarterly strategy reviews

🛠️ Tools We Use

🤖 OpenAI API 🧠 Claude API 🔮 Perplexity API 🐍 Python monitoring scripts 📊 Custom dashboards 🔧 Schema.org validators 📈 Google Search Console 🔍 Ahrefs
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Avg. AI Citation Rate
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Brand Mentions Growth
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AI Platforms Covered
Proof Module

GEO Outcomes in the Wild

Only verified AI Search evidence should be attached here before publication.

Evidence to publish

Add approved citation baselines, answer-engine screenshots, query sets, source maps, or client-approved quotes only after verification.

❓ GEO Questions

Frequently Asked

No — GEO complements SEO, not replaces it. Traditional SEO remains critical for driving organic search traffic. GEO adds a new dimension: visibility in AI-generated answers. The best strategy combines both. In fact, many GEO optimizations (structured data, authority signals, quality content) directly benefit your traditional SEO as well.

We use custom monitoring tools that systematically query ChatGPT, Claude, and Perplexity APIs with your target keywords, then analyze responses for brand mentions, citation links, and sentiment. We track: citation rate (% of queries where your brand is mentioned), citation position (first vs. last mention), accuracy of the AI's claims about you, and competitive share of voice.

Initial improvements in Perplexity citations can appear within 4-8 weeks (since it searches the live web). Google AI Overviews respond to content changes within 2-4 weeks. ChatGPT and Claude take longer because they rely on training data — typically 3-6 months to see significant changes, though new retrieval-augmented features are shortening this cycle.

It depends on your audience. For B2B and professional services, Perplexity and ChatGPT are the most impactful (knowledge workers use them daily). For consumer products, Google AI Overviews are crucial since they appear directly in Google search. For tech and developer audiences, Claude is increasingly important. We analyze where your target audience actually searches and prioritize accordingly.

GEO retainers start from €2,500/month, which includes monitoring, content optimization, authority building, and monthly reporting. A one-time GEO audit starts from €1,500. We also offer combined SEO + GEO packages that provide better value since many optimizations overlap. Contact us for a custom proposal based on your industry and competitive landscape.

Future-Proof Your Search Visibility

AI search is growing exponentially. Start optimizing now before your competitors do.

Get GEO Audit