What is the difference between SEO and GEO?
SEO focuses on ranking in traditional search engines, such as Google. In contrast, GEO (Generative Engine Optimization) focuses on making your content discoverable, understandable, and citable by AI systems like ChatGPT, Gemini, Perplexity, and DeepSeek.
Much of what we “know” about GEO is still based on educated guesses. It’s early days, and there’s plenty left to uncover. The good news is, if you’ve been doing traditional SEO for years, you’re already most of the way there. The fundamentals remain the same.
The foundation of GEO, LLMO, or AI SEO (whatever it’s called) remains approximately 80% based on traditional SEO practices — including optimizing website content, enhancing site performance (Core Web Vitals and speed), and establishing a robust link profile, along with securing brand mentions across Google and Bing.
Why GEO Getting More Attention?
AI chatbots are increasingly reshaping how people search online, offering less friction and more natural, conversational interactions. As users shift from traditional search engines to AI-generated answers, Generative Engine Optimization (GEO) is becoming critical for publishers, brands, and marketers.
Search marketing has evolved beyond traditional SERP rankings to focus on AI citations, AI mentions, and AI-driven visibility. To stay visible in this new digital landscape, businesses must create content that large language models (LLMs) can easily retrieve, trust, and cite in their responses.
What Makes GEO Different from Traditional SEO?
Below are key differences based on my personal perspective:
1. Objective(s)
SEO focuses on ranking in traditional SERPs, driving users directly to your website through search engines.
GEO focuses on ensuring your brand is represented in AI-generated responses, making it part of the conversation within AI answers.
SEO emphasizes keywords, backlinks, and page optimization with the goal of ranking.
- GEO aims to be cited AI-generated answers
2. Ranking Signals
SEO considers 100+ ranking signals, which predominantly include high-quality and relevant backlinks in your business niche.
GEO relies more on content structure, authority citations, and mentions.
In traditional SEO, your authority and rankings depend heavily on the quality of your backlink profile. In AI optimization, where your brand is cited across the web matters more than just the links themselves.
3. Authority
In SEO, dofollow backlinks are an important ranking signal.
In GEO, mentions and citations by authoritative industry sources carry more weight. Visibility depends on how trusted third parties in your niche reference you.
In traditional SEO, backlinks work like votes of trust for your website. In AI search, public relations and brand mentions work in a similar way. The more people talk about your brand online, the more AI systems notice and trust you.
4. KPI Measurement
SEO typically tracks organic search in GA4.
GEO leans toward referral traffic in GA4 and citations as success indicators.
5. Keyword Research
SEO keyword research is based on search volume, keyword difficulty, and intent.
GEO keyword research involves reverse-engineering AI queries and analyzing how LLMs surface content.
Backlinks vs Brand Mention
In traditional SEO, backlinks (hyperlinks from other domains) are a key ranking signal. In GEO, however, unlinked brand mentions are becoming just as important. Even without a hyperlink, AI systems may treat casual mentions of your brand across the web as valuable signals, boosting your chances of being cited in AI-generated results.
Keywords Ranking vs Prompt Monitoring
Instead of tracking keyword rankings on search results pages, you’re now tracking brand mentions and sentiment within conversational AI responses. Prompt Monitoring is becoming increasingly important as more users rely on LLMs, because it offers another way to understand how users discover your brand.
Diverse citation source
Note that the sources cited by LLMs can shift and change over time, so the results you see today may not be the same tomorrow.
Further reading: The Most-Cited Domains in AI: A 3-Month Study
Refer to Semrush’s study
Unlike traditional SEO, which relies heavily on relevant and local backlinks, large language models pull citations and mentions from a far more diverse set of sources. Studies show that platforms like Reddit (40%), Wikipedia (26%), YouTube (23%), and even Google (23%) play a major role, along with review sites like Yelp and TripAdvisor. This means visibility today depends not just on backlinks, but on being present and credible across multiple content types and platforms where AI actively gathers information.
GEO Tools
GEO Toolkits Starter Pack
Google Analytics (GA4)
Free and versatile. In traditional SEO, you track organic search traffic. In GEO, you also focus on referral traffic coming from AI-driven sources.
Google Search Console (GSC)
Essential for monitoring indexing, coverage, and visibility. Still important for GEO since your content needs to be crawled, indexed, and retrievable by AI systems.
Bing Webmaster Tools
Similar to GSC but for Bing. Valuable because Microsoft integrates AI heavily into Bing Chat and Copilot.
Log File Analyzer
Helps you understand whether AI crawlers (like GPTBot, ClaudeBot, PerplexityBot) are accessing your site.
e.g., Screaming Frog, Botify
Schema Markup Generators
Useful for structuring content so AI can parse and cite it more easily.
E.g., Schema Markup Tool, RankMath, Yoast
Brand Mention Tracking Tools
GEO favors brand mentions (linked or unlinked), monitoring them is important.
E.g., Brand24, Google Alerts, Ahrefs Alert
Otterly AI – Prompt-Specific GEO Tracking.
Otterly helps track your brand’s visibility in AI search platforms like ChatGPT, Perplexity, and Google’s AI Overviews. It shows which prompts surface your content, monitors the exact queries users ask, and detects when AI platforms cite your pages.
Review Platforms & Aggregators (e.g., Trustpilot, G2, Capterra)
Collect and showcase reviews — AI models often use these as trusted data sources.
AI Citation Tracking Tools
Semrush AI SEO Toolkit (Paid)
Ahrefs AI Citation (Paid)
How to Choose a Generative Engine Optimization Tool?
Choose a tool that fits your goals—whether that’s attracting more traffic from LLMs or strengthening brand presence. The best tools do more than just track AI visibility; they help you take action. Look for features like:
Actionable insights: Sentiment analysis, share of voice, competitor benchmarking, and identifying missed opportunities.
Optimization workflows: Recommendations, experiments, or playbooks to boost AI visibility and business outcomes.
Competitor benchmarking: Clear side-by-side comparisons of visibility and sentiment.
Enterprise readiness: Multilingual prompt support, role-based access, data control, and integration options.