Generative Engine Optimization (GEO)
The practice of optimizing a brand's visibility and representation in AI-generated responses. GEO covers how engines like ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, and Grok discover, evaluate, and recommend brands when users ask questions.
Where SEO optimizes for search engine result pages, GEO optimizes for AI-generated answers. The ranking factors are different: AI engines weigh source credibility, structured data, cross-platform mentions, and content citability rather than backlinks and keyword density.
Related: What Is GEO?
GEO Score
A 0-100 metric measuring how visible and favorably represented a brand is across AI engines for a given set of keywords. Calculated weekly based on four factors: mention rate (does the engine name your brand?), recommendation rate (does it recommend you?), sentiment (positive, neutral, or negative), and position (are you mentioned first or buried at the end?).
GEO Score is tracked per keyword and per engine, so you can see which specific queries and which specific AI engines are your strengths or blind spots. Weekly trend data shows whether your visibility is improving or decaying.
Citation Source
A URL or platform that an AI engine references when generating a response. When Perplexity answers a question about project management tools, it might cite a Reddit thread, a G2 review page, and a blog post. Those are the citation sources.
Tracking citation sources reveals the upstream content that influences AI recommendations. If your competitors appear on platforms where you don't (specific subreddits, review sites, industry publications), those are the gaps to close.
Citation Velocity and Citation Decay
Citation velocity measures how frequently AI engines cite your brand's sources over a rolling time window (typically 4 weeks). A positive velocity means engines are citing you more often. A declining velocity, called citation decay, means engines are gradually dropping your brand from their responses.
Citation decay is an early warning signal. By the time your GEO Score drops noticeably, the decay may have been happening for weeks. Monitoring velocity lets you intervene before visibility loss becomes significant.
AI Crawler
A web crawler operated by an AI company to index content for use in AI-generated responses. Unlike traditional search crawlers (Googlebot), AI crawlers feed content into language model training or real-time retrieval systems.
Major AI crawlers:
- GPTBot (OpenAI, powers ChatGPT)
- PerplexityBot (Perplexity AI)
- Google-Extended (Google, powers Gemini and AI Overviews)
- anthropic-ai (Anthropic, powers Claude)
- CCBot (Common Crawl, used by multiple AI providers)
If your robots.txt blocks these crawlers, AI engines can't index your content and won't cite you in their responses. An AI readiness audit checks these permissions.
AI Readiness Audit
A technical assessment of whether a website is properly configured for AI engine crawling and indexing. Unlike a traditional SEO audit focused on Googlebot, an AI readiness audit checks:
- robots.txt permissions for AI-specific crawlers
- JSON-LD structured data (Organization, FAQPage, Product schemas)
- Content citability: can AI engines extract clean, factual statements?
- E-E-A-T signals: experience, expertise, authoritativeness, trustworthiness
- Freshness indicators: publication dates, update signals
Failed checks generate specific fixes in your action plan, including ready-to-use code snippets for schema markup and robots.txt corrections.
Competitor Displacement
When an AI engine recommends a competitor brand in a context where your brand should appear. For example, if a user asks 'What's the best CRM for small teams?' and ChatGPT recommends three competitors but not you, those competitors have displaced you for that query.
Displacement tracking identifies which competitors are cited instead of you, on which engines, and for which keywords. Combined with citation source attribution, it reveals why the AI prefers them: maybe they have better Reddit presence, more structured data, or fresher content.
Upstream Source
The original content that AI engines consume during training or real-time retrieval to form their responses. Upstream sources include Reddit posts, news articles, review sites (G2, Trustpilot, Google Reviews), documentation pages, Wikipedia entries, and YouTube videos.
Identifying upstream sources answers a critical question: 'Why does the AI say what it says about my brand?' If most of your AI mentions trace back to a single Reddit thread from 2024, you know exactly where to build new presence to shift the narrative.
Brand Perception Analysis
An assessment of how AI engines collectively describe, recommend, or critique a brand. Goes beyond simple mention tracking to analyze the narrative: what themes recur? Is the sentiment positive or negative? Do engines position you as a leader, an alternative, or an afterthought?
Two modes of analysis: meta-analysis examines your existing scan data to extract patterns, while direct mode queries AI engines specifically about your brand ('What do you know about [brand]?') to capture the unfiltered AI perspective.
GEO Action Plan
A prioritized list of tasks generated from your scan data, audit results, and competitive analysis. Unlike a dashboard that shows problems, an action plan tells you what to do about them, with ready-to-use deliverables.
Action items span 11 categories: schema markup (with JSON-LD code), content quality improvements, AI crawler access fixes, external citation strategies, Reddit engagement drafts, Google Business Profile descriptions, review response drafts, meta description rewrites, YouTube engagement, and AI visibility strategies. Items include copy-paste code snippets where applicable.
E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness)
Google's quality framework, originally designed for search ranking, that AI engines have adopted as a credibility signal. AI engines are trained to prefer sources that demonstrate real experience with a topic, subject-matter expertise, recognized authority, and trustworthy information.
For GEO, E-E-A-T means your content needs to show first-hand experience (case studies, original data), expertise (technical depth), authority (third-party citations, mentions on reputable platforms), and trust (consistent, factual information across sources).