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LLM SEO & Generative Engine Optimization
LLM SEOGenerative Engine OptimizationAI Citation Strategy

LLM SEO & Generative Engine Optimization

Get Cited in AI Answers, Not Buried

73%
AI Citation Rate
Avg. client improvement
6
LLM Platforms
ChatGPT, Perplexity, Gemini, Claude, Copilot, SearchGPT
40+
Entity Signals
Per optimization cycle
30 days
First Results
Typical citation visibility
What Is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is about structuring your website's content, technical markup, and entity authority so large language models — ChatGPT, Perplexity, Gemini, Claude — cite your brand when they generate answers. Traditional SEO chases blue links. GEO targets the AI synthesis layer, where LLMs decide which sources to select, attribute, and quote.

Onde os projetos falham

Your competitors are getting cited by ChatGPT Your brand isn't showing up at all. That's an entire traffic channel you're losing as users move away from Google and toward AI-generated answers.
Traditional SEO rankings don't carry over to LLM citations A page-one ranking doesn't mean much when users never click through to search results in the first place.
Your content doesn't have the structured entity signals LLMs need to work with Without clear signals, AI models can't attribute expertise to your brand — so they cite whoever made it easier.
There's no way to measure AI citation performance right now You're guessing while competitors quietly build visibility in generative results.
Your schema markup is outdated or nonexistent LLMs can't parse your authority, your authorship, or what your site is actually about.
Your content was written for humans and Google — not for LLM retrieval AI models skip your pages because they don't find the concise, quotable, fact-dense passages they're looking for.

Conformidade

Entity Authority Building

We build and reinforce your brand's knowledge graph presence across Wikidata, Google Knowledge Panels, and structured entity references. LLMs trust brands with strong, consistent entity signals — so that's what we give them.

Structured Data Architecture

We handle deep JSON-LD implementation: Organization, Person, FAQPage, HowTo, and custom schemas where needed. Every piece of content becomes machine-readable and attribution-ready.

AI Citation Monitoring

We track citations across ChatGPT, Perplexity, Gemini, Claude, and Copilot using our own proprietary process. Monthly reports cover citation frequency, context, and how you stack up against competitors.

Quotable Content Engineering

We restructure existing content and build new pages around concise, fact-dense passages — the kind LLMs prefer to quote. Every paragraph gets optimized for extractive summarization.

Topical Authority Mapping

We audit your content graph and close the gaps so LLMs recognize your site as an authority on your core topics. The cluster architecture is built with retrieval-augmented generation in mind.

Source Credibility Signals

Author pages, credential markup, citation networks, trust signals — these are the things LLMs actually look at when deciding which sources to reference. We make your expertise machine-verifiable.

O que construímos

LLM Citation Audit

We query six major AI platforms using your target topics and map exactly where your brand appears, how often, and how that compares to competitors.

Answer Engine Content Strategy

Content briefs and page structures built specifically for LLM retrieval: quotable blocks, definitive statements, entity-rich context throughout.

Knowledge Graph Optimization

Wikidata entries, Google Knowledge Panel claims, cross-platform entity consistency — all of it works together to strengthen your brand's machine-readable identity.

Schema Markup Overhaul

JSON-LD across your entire site, covering 15+ schema types relevant to AI content extraction.

Competitor Citation Analysis

Monthly benchmarking of which competitors get cited, for which queries, and what content patterns are driving their visibility.

RAG-Optimized Technical SEO

Crawlability, content chunking, semantic HTML, internal linking — all optimized for retrieval-augmented generation pipelines.

Nosso processo

01

AI Citation Audit

We run your brand through 200+ queries across ChatGPT, Perplexity, Gemini, Claude, and Copilot. You get a baseline citation report showing exactly where you stand and where competitors are pulling ahead.
Week 1
02

Entity & Schema Architecture

We map your brand's entity graph, fix inconsistencies, claim knowledge panels, and build a structured data layer from the ground up. This is the foundation LLMs need to recognize your authority.
Weeks 2-3
03

Content Engineering

We restructure existing pages and create new content with quotable passages, definitive answers, and fact-dense formats. Every page gets an AI-extraction optimization pass before we're done with it.
Weeks 3-5
04

Technical Implementation

JSON-LD deployment, semantic HTML cleanup, internal link architecture, crawl optimization. We ship the technical changes that make your content machine-parseable at scale.
Weeks 5-7
05

Monitor & Iterate

Ongoing citation tracking across all major AI platforms. Monthly reports show citation frequency, new query coverage, and the content adjustments we're making based on what's actually working.
Ongoing
Next.jsSchema.orgJSON-LDVercelGoogle Search ConsoleAhrefsCustom Entity Graphs

Perguntas frequentes

What is generative engine optimization (GEO)?

GEO is the practice of optimizing your website so AI systems like ChatGPT, Perplexity, and Gemini cite your brand in their generated answers. It pulls together structured data, entity authority, and content engineering to make your pages the preferred source when LLMs synthesize responses. It's a separate discipline from traditional SEO — related, but not the same thing.

How is LLM SEO different from traditional SEO?

Traditional SEO is about ranking in Google's blue links. LLM SEO is about getting cited in AI-generated answers across multiple platforms. The signals are different — LLMs care about entity authority, quotable content, structured markup, and source credibility more than backlink volume or keyword density. Both matter, but they need different strategies behind them.

Can you guarantee my brand will be cited by ChatGPT?

No agency can guarantee specific AI citations. LLM outputs are probabilistic by nature. What we can guarantee is implementing every known signal that increases citation likelihood: structured data, entity graphs, quotable content, source authority. Most of our clients see measurable citation improvements within 30 to 60 days.

How do you track AI citations?

We run systematic queries across ChatGPT, Perplexity, Gemini, Claude, Copilot, and SearchGPT using your target topics and competitor comparisons. We log citation frequency, context, and exact phrasing every month. You get a dashboard showing trends, new citations, lost citations, and where competitors are moving.

Do I still need traditional SEO if I do GEO?

Yes — and this is worth understanding. Many AI systems pull from web search results as part of their retrieval pipeline, so strong traditional SEO feeds directly into LLM visibility. GEO doesn't replace SEO; it layers on top of it. Our technical implementations are designed to benefit both channels at the same time.

How long before I see results from generative engine optimization?

Most clients see initial citation improvements within 30 days, particularly in Perplexity and Gemini, which update their retrieval indexes more frequently. ChatGPT citations can take longer depending on training data cycles. Results compound over 3 to 6 months of ongoing monitoring and iteration.

LLM SEO & GEO from $8,000
Fixed-fee engagement. Monthly retainer available for ongoing citation monitoring.
See all packages →
Next.js DevelopmentCore Web Vitals OptimizationCore Web Vitals Complete Guide 2026

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