Geoffrey — AI Visibility Engine | Get Recommended by ChatGPT, Gemini & Perplexity
Geoffrey is the Generative Engine Optimization (GEO) platform that helps brands get recommended by AI assistants like ChatGPT, Gemini, Claude, Grok, Perplexity, Deepseek, and Mistral. Monitor your AI mentions, run GEO audits, generate AI-readable content, and track AI-driven traffic — all from one dashboard.
What is Geoffrey?
Geoffrey is a SaaS platform for Generative Engine Optimization. It monitors how often AI models mention your brand, scores your website's AI-readability, and helps you create content that AI assistants are more likely to cite and recommend. Think of it as SEO — but for the age of AI-powered search.
Who is Geoffrey for?
Geoffrey is designed for SaaS companies, digital marketers, SEO professionals, growth teams, and agencies that want to increase their brand visibility in AI-driven search. Whether you're a solo founder or an enterprise team, Geoffrey helps you understand and improve how AI models perceive your brand.
Key Features
AI Visibility Dashboard — Track how often AI models like ChatGPT, Claude, Gemini, and Perplexity mention your brand across custom prompts
GEO Audit — Score your website's AI-readability across 5 categories: structured data, content clarity, technical SEO, authority signals, and freshness
AI-Optimized Content Creator — Generate geo-targeted articles, FAQ packs, and competitor comparisons designed to be cited by AI assistants
AI Traffic Tracking — Monitor clicks and visits from ChatGPT, Claude, and Perplexity via Google Analytics integration
WordPress Integration — Publish AI-optimized content directly to your WordPress site with one click
Competitor Analysis — See which competitors AI models recommend instead of you and generate comparison content
How It Works
Connect your brand — Add your company name, website, and competitors to start tracking
Monitor AI mentions — Geoffrey queries major AI models with prompts relevant to your industry and tracks whether you're recommended
Run a GEO Audit — Get a detailed score of how AI-readable your website is, with specific fix guides for each issue
Create optimized content — Generate articles, FAQs, and structured data that help AI models understand and recommend your brand
Track AI-driven traffic — Connect Google Analytics to see real visits coming from AI assistants
Why GEO Matters
Traditional SEO focuses on ranking in Google search results. But more and more users are turning to AI assistants like ChatGPT, Claude, and Perplexity for recommendations. Generative Engine Optimization (GEO) ensures your brand is visible in these new discovery channels. Companies that AI recommends will win — the rest risk becoming invisible.
Learn More
Get started free — no credit card required. Start tracking your AI visibility today.
Google's E-E-A-T framework — Experience, Expertise, Authoritativeness, and Trustworthiness — was designed for traditional search quality. But AI models like ChatGPT, Gemini, and Perplexity use remarkably similar trust signals when deciding which brands to cite. Learn how to apply E-E-A-T principles to Generative Engine Optimization (GEO) and increase your AI visibility.
Key insights: Wikipedia accounts for 48% of ChatGPT citations (Profound, 680M citation study). Reddit makes up 46.7% of Perplexity citations (Semrush). Only 12% of AI-cited domains overlap with Google's top 10 (Ahrefs). Author credentials and structured data are critical trust signals for LLM citation decisions.
How AI models evaluate Experience, Expertise, Authoritativeness, and Trustworthiness
Why first-person authentic content gets cited by Perplexity and Claude
The role of structured data (JSON-LD) in AI trust signals
Not all AI models recommend brands the same way. ChatGPT, Perplexity, Gemini, and Google AI Overviews each prioritize different signals — from training data authority to real-time search recency. Understanding these differences is the foundation of a successful multi-platform GEO strategy.
ChatGPT favors high-authority backlinks and established brand recognition in training data
AIO, GEO, LLMO, AEO — the terminology around AI search optimization is evolving fast. AI Optimization (AIO) describes the practice of ensuring your brand appears when users ask ChatGPT, Claude, Perplexity, or Google AI Overviews for recommendations. Here's what it means and why it matters.
AIO, GEO, and LLMO all describe the same emerging discipline of optimizing for AI-powered search
Key tactics include structured data, content clarity, authority signals, and freshness
Traditional SEO remains important but is no longer sufficient on its own
Getting your brand recommended by ChatGPT requires a combination of authority signals, structured data, and content clarity. This guide covers actionable steps — from JSON-LD markup to earning citations on high-authority platforms — that increase your chances of being mentioned in AI-generated responses.
Build authority through Wikipedia, industry publications, and review platforms
Add comprehensive structured data (JSON-LD) to help AI models understand your brand
Create clear, factual content that directly answers common industry questions
Earn mentions on Reddit, Quora, and other community platforms that AI models cite frequently
Generative Engine Optimization (GEO) and Search Engine Optimization (SEO) share common foundations but differ in how they drive visibility. SEO targets rankings in traditional search results; GEO targets citations and recommendations within AI-generated responses from ChatGPT, Claude, Gemini, and Perplexity.
SEO optimizes for keyword rankings; GEO optimizes for AI citation and brand mention
GEO emphasizes structured data, entity recognition, and factual content clarity
The best strategy combines both: strong SEO foundations with GEO-specific enhancements
Google AI Overviews extract and summarize content from top-ranking search results. Appearing in these AI-generated summaries requires strong traditional SEO combined with structured data, concise answers, and featured snippet optimization. Here's how to increase your chances.
Rank in the top 10 for target queries — AI Overviews pull primarily from top results
Optimize for featured snippets with clear, concise question-and-answer formatting
Use Schema.org structured data to help Google understand your content's context
Retrieval-Augmented Generation (RAG) is the mechanism that allows AI models like Perplexity and ChatGPT to fetch and cite real-time information from the web. Understanding how the RAG pipeline works — from query reformulation to source ranking — is essential for making your content discoverable by AI.
RAG combines retrieval (finding relevant content) with generation (synthesizing answers)
Content that is clearly structured, factual, and well-cited is more likely to be retrieved
Perplexity and ChatGPT Browse use RAG-like pipelines that favor authoritative, recent sources
WordPress powers over 40% of the web, making it a critical platform for AI visibility optimization. This guide covers WordPress-specific GEO tactics — from JSON-LD plugins and FAQ blocks to content structure and technical performance — that help AI models discover and recommend your content.
Use structured data plugins to add JSON-LD markup for articles, FAQs, and organization data
Optimize content headings and structure for AI-readable clarity
Leverage WordPress FAQ blocks and schema to appear in AI-generated answers
Publish AI-optimized content directly from Geoffrey with the WordPress integration
A data-driven analysis of which external domains AI models like ChatGPT, Perplexity, and Claude cite most frequently. Wikipedia accounts for 48% of ChatGPT citations, Reddit makes up 46.7% of Perplexity citations, and only 12% of AI-cited domains overlap with Google's top 10. Understanding these patterns is key to building an effective GEO strategy.
Wikipedia and Reddit dominate AI citations across different models
AI-cited domains differ significantly from traditional Google rankings
Niche authority sites and community platforms punch above their weight in AI recommendations