09/26/2025 | News release | Distributed by Public on 09/26/2025 06:20
Search is changing. Fast.
Search engine optimization (SEO) helps your content rank in Google's search results.
Generative engine optimization (GEO) helps your content appear and get cited in AI answers from tools like ChatGPT, Perplexity, and Google AI Overviews.
By the end of this guide, you'll understand GEO vs. SEO, where they overlap and differ, and how to optimize for both.
Plus, you get this clear GEO optimization checklist you can apply right away.
What Is Search Engine Optimization?
SEO is the process of improving your site to help it show higher in search results and drive more organic (unpaid) traffic.
SEO techniques include:
What Is Generative Engine Optimization?
GEO is the process of improving your site to increase the chance that AI-generated answers in LLMs like Google AI Overviews and ChatGPT mention and/or link to you.
To optimize for GEO:
Further reading : Large Language Model (LLM) Optimization
Why Does GEO Matter?
Traditional SEO gets your content or offerings listed. GEO gets your content or offerings recommended.
If a user searches Google for "best cordless screwdriver under $100," they'll see a list of products they can buy. And SEO helps your product appear in that list.
If a user asks a generative AI tool the same thing, it gives a recommendation-not just a list of options. And GEO helps your product become one of those recommendations.
In the above example, ChatGPT recommends the Milwaukee M12 for professional work and the DeWalt 8 V Max for light home use.
Plus, Google is rolling out AI answers for more and more queries.
According to Semrush's study of 10 million+ keywords, 13.14% of all queries triggered AI Overviews as of March 2025. That's up from 6.49% in January 2025-doubling in only three months.
If your content isn't included in AI answers, searchers are less likely to see it.
SEO vs. GEO: Similarities
SEO and GEO overlap in that high-quality, well-structured, authoritative content is rewarded.
Here's where SEO and GEO overlap more specifically:
If you already produce strong SEO content, you're halfway to GEO. To take full advantage of generative engines, you'll need additional optimization steps (we'll go over those later in this article).
SEO vs. GEO: Differences
SEO and GEO mainly differ in how content is shown and how success is measured. Let's break down the differences:
Category |
SEO |
GEO |
Search output |
SERP with ranked links |
AI-generated text answers |
Search engine type |
Traditional (Google, Bing) |
Generative (ChatGPT, Perplexity, Gemini) |
Query format |
Short, keyword-based |
Longer, more conversational prompts |
Optimization target |
Higher rank in search results |
Inclusion or citation in AI-generated responses |
Content delivery |
User clicks through to your page |
AI summarizes or paraphrases your content inside its answer |
Success metrics |
Clicks, traffic, rankings, bounce rate |
Citations, mentions, and share of voice |
Content update needs |
Evergreen content can stay ranked for years |
Content must stay fresh and authoritative to remain cited |
What does this mean in practice?
Unlike SEO, GEO doesn't often drive direct traffic through rankings. In fact, a study from Bain & Company shows that 80% of users answer 40% of their queries without clicking a link.
So what's the goal of GEO?
GEO positions your brand as a trusted source that AI assistants use in their answers. This presence builds brand awareness and can later drive branded searches and conversions.
GEO vs. SEO: Input Signals, Ranking Logic, & Measurement
Input Signals: Keywords vs. Prompts
SEO starts with keywords: phrases people type into search bars.
GEO starts with prompts: natural language questions users ask AI tools like ChatGPT and Perplexity.
SEO success hinges in part on using keywords in:
In GEO, keyword placement is less important.
AI models prefer content that reads like a complete, trustworthy answer to a specific question. To optimize for prompts:
Ranking: SERPs vs. Generative Answers
SEO content is built to rank in search results. GEO content is built to provide a direct answer.
Traditional search engines like Google rank pages using complex algorithms that evaluate factors like:
These factors determine where a page appears on the SERP.
LLMs generate synthesized answers in real time. The model selects, summarizes, and sometimes cites trusted sources.
Factors like quality and relevance are still important in GEO. But for inclusion in AI-generated answers, your content must also be:
KPIs & Measurement: Traditional Metrics vs. AI Visibility Metrics
SEO is measured with traditional metrics marketers have used for years. GEO is measured with emerging metrics relevant to AI.
Traditional SEO uses these key performance indicators (KPIs):
GEO success looks different given users rarely click the links. Key GEO metrics include:
You can measure your performance in LLMs using Semrush's AI SEO Toolkit.
GEO Optimization Checklist
Use this checklist to optimize your content for generative engines like ChatGPT, Perplexity, and Google AI Overviews:
Content Quality
When writing website content, ensure it:
Run your draft through Semrush's SEO Writing Assistant to improve clarity that may translate to better GEO.
Structure & Formatting
To ensure AI (and humans) can easily read your content, include:
Further reading : How to Write an Article Audiences Want to Read (7 Steps)
Trust & Citability
LLMs evaluate your brand based not only on your website, but also on information from sources such as Wikidata, Crunchbase, and LinkedIn.
These sources help LLMs understand who you are and whether you're credible.
That means off-site presence and consistency across the web is just as important as on-page optimization.
Monitoring
Finally, here's how to track the success of GEO efforts:
Use Semrush's AI SEO Toolkit to analyze how LLMs like ChatGPT and AI Mode feature your brand and get actionable recommendations to improve your business strategy.
Audit: Comparing SEO and GEO Results
This audit shows how AI-generated answers differ from Google SERPs, how AI answers vary across tools, and why GEO matters.
We tested the query "best CRM tools."
First, the SERPs:
Google's AI Overview recommends Salesforce, HubSpot, Zoho, and Pipedrive. Below the AI box, Google shows a product carousel and a Zapier listicle.
Perplexity surfaces listicles (including Zapier's), a Reddit post, and its own summary of CRM tools, which also recommends Zoho as the top option.
ChatGPT shows tables comparing CRM tools by category (e.g., "best overall," "best for small teams"), but it doesn't cite sources.
Its top tools are HubSpot, Salesforce, and Zoho.
Gemini offers a somewhat vague, citation-free answer with no structured comparisons.
It's the only engine to exclude HubSpot from the top three, but it's the only engine to mention Microsoft Dynamics 365.
Key Takeaway: GEO is Platform-Specific
Each AI engine has its own method, training data, and output style:
To succeed with GEO, consider how you can adapt content for each engine.
Start Optimizing for GEO
The future of search isn't just about being found. It's about being trusted, referenced, and recommended by AI tools.
Generative engines are changing how people receive answers. Brands that succeed will combine SEO fundamentals with GEO-specific strategies.
Use Semrush's AI SEO Toolkit to: