AEO vs SEO: Key Differences and Proven Optimization Tips

AEO vs SEO: Key Differences and Proven Optimization Tips

AEO vs SEO: Key Differences and Proven Optimization Tips

Written by:

Rokas Stankevicius

Founder @ AIclicks

Reviewed by:

Matas Kibildis

Head of Growth @ AIclicks

Last updated:

Oct 1, 2025

Expert Verified


Search is changing. Traditional SEO (search engine optimization) made it possible for websites to rank in Google by optimizing pages, keywords and backlinks. Today, AI‑powered tools like ChatGPT, Gemini and Perplexity offer a different experience: users ask questions and receive synthesized answers directly inside conversational interfaces

A growing share of Americans (The Hustle reports around 27 %) already use chatbots instead of search engines, so simply ranking #1 on Google no longer guarantees that your brand will be visible. Annswer Engine Optimization (AEO) — also called AI search optimization — complements SEO by ensuring that your content appears and is cited inside AI responses.

This article compares AEO and SEO: explains where the two disciplines overlap, where they diverge, and offers practical steps to future‑proof your digital presence.

Understand the Difference: AEO vs. SEO

Before anything else, you need to know that AEO Optimization is not just repackaged SEO. AEO, or Answer Engine Optimization, is about structuring your content to be the exact statement pulled and quoted by AI tools like ChatGPT or Gemini. In traditional SEO, it’s all about keywords, backlinks, and domain authority to win the top spots in search results. But with AIs like ChatGPT, they they deliver a single confident, clear answer.

Criteria

SEO (Traditional Search)

GEO (Generative Engine Optimization)

Purpose

Rank in Google search results

Get quoted in AI-generated responses (e.g., ChatGPT, Gemini)

Audience

Human search users

AI models, chatbots, and summaries

Content Format

Long-form, keyword-rich articles

Short, direct, consensus-based answers

Optimization Techniques

Keywords, backlinks, domain authority, content relevance

Structured data, Q&A format, schema, clarity, direct answers, brand entity mentions, topic relevance, citation signals, consensus content

Results

Displayed on search engine results pages (SERPs)

Displayed as AI-generated answers, summaries, and recommendations

Goal

Organic ranking on Google and other search engines

Becoming a trusted resource for AI models, appearing in AI answers

Focus

High-volume traffic and visibility

Increased citations and mentions in AI responses

Examples of Optimization

Blog posts, landing pages, backlinks, keyword targeting

Structured Q&A, schema implementation, FAQ sections, brand mentions, authoritative sources

To be clear: SEO is still a building block, but AEO is now the way into the conversation. The change is real: experts predict a 25% drop in search traffic by 2026 as AI chatbots and AI-driven tools take over the way people get answers (Gartner).

How User Search Behaviour Has Changed

AI search changes the way people ask questions and interact with information. In traditional search, users typically enter short, keyword‑based queries (average ~4 words) like “best coffee maker”; they may refine the query if they are not satisfied

In AI search, prompts are longer, conversational and task‑oriented, averaging ~23 words. People ask complete questions and instructions (e.g., “Find the best cappuccino maker under $200”) and interact through multi‑turn dialogues, letting the AI remember context across questions. Sessions last longer, with users exploring topics iteratively

Implications for GEO:

  • Target natural language questions and long‑tail prompts rather than just head keywords.

  • Structure content so that each section answers a specific question clearly and concisely.

  • Anticipate follow‑up questions and provide related information that AIs can surface in conversational threads.

Query Handling and Optimization Targets

Traditional search engines retrieve documents based on a single query and rank entire pages. AI engines fan out the prompt into multiple sub‑queries and evaluate information at the passage/chunk level. Consequently, AEO focuses on making each paragraph or section self‑contained and informative so that the model can extract the most relevant passage.

The optimization target changes too:

  • SEO: Page‑level relevance. Ranking is driven by the overall topic alignment of an entire page and factors like backlinks, user engagement and site authority.

  • GEO: Passage‑level relevance. The AI considers whether a specific chunk of text directly answers the question and whether it agrees with other sources. Concise answers, schema markup and bullet lists help the model identify key facts.


    https://www.aleydasolis.com/wp-content/uploads/2025/06/QUERY-HANDLING-SINGLE-QUERY-VS-QUERY-FAN-OUT-_-MULTIPLE-SUB-QUERIES-2-1.png

Source

Authority & Popularity Signals

Links and engagement have long been the currency of SEO. High‑quality backlinks signal authority, and pages with strong backlink profiles tend to rank better. AI models do not build a PageRank graph, yet they still rely on mentions and citations across the web. Content that is widely referenced by reputable sites or appears in trustworthy databases is more likely to be captured in the model’s training data and retrieval process.

For GEO, this means building authority through off‑site mentions and consensus:

  • Encourage authoritative blogs, news sites and industry directories to mention your brand or cite your content.

  • Participate in forums and Q&A communities (Reddit, Quora, Stack Overflow) where your expertise can be referenced.

  • Maintain accurate, well‑reviewed profiles on review platforms and knowledge bases so the AI can pick up positive signals.

Results Presentation & User Navigation

The biggest visible difference lies in how results are presented and consumed. Traditional search delivers a ranked list of links (“10 blue links”) plus rich snippets and knowledge panels. Users can compare multiple sources, and click‑through rate (CTR) remains the key metric.


In AI interfaces, users see a synthesized answer composed of information from one or more sources. Citations may appear as footnotes or small side links, but they are less prominent. Because the AI provides the answer directly, many searches become zero‑click: users get satisfied without visiting a website. Success in GEO is measured not by traffic alone but by visibility rate — how often your brand is mentioned in AI answers.

Goals and Metrics

SEO metrics include organic traffic, keyword rankings, CTR and backlink quality. For GEO, the metrics shift to:

  • AI visibility rate: the percentage of AI answers where your brand is cited.

  • Brand mentions: how often your company is mentioned across AI models.

  • Unique citations: references to your website or authoritative sources you control.

  • Change over time: tracking improvements in AI visibility across audits.

How to Optimize for AEO

Strategy

Optimization Tactics

Prompt-Level Optimization

Identify high-performing prompts and create targeted content for those with low AI visibility

Content Structuring

Use clear, answer-first intros (2–3 sentences), organize with H2/H3 headings in question format

Schema Implementation

Apply structured data (Product, FAQ, HowTo) to “flag” the most quotable content for AI tools

Crawlability & Access

Ensure pages are accessible to AI crawlers (avoid JavaScript-only critical content, enable SSR)

Content Refresh & Auditing

Regularly audit and refresh old content to keep it relevant and improve its chances of being quoted

External Brand Mentions & Citations

Actively seek mentions in authoritative directories, press releases, forums like Reddit, and industry blogs

Topic Relevance

Ensure content is relevant to the broader topics AI tools focus on; clustering topics based on AI visibility

Prompt-Level Optimization

AI search is prompt-driven, which means every query is unique. Identify high-performing prompts that are likely to bring traffic and tailor your content to perform better for these. With AIclicks, you can track which models cite your brand, measuring mentions and visibility rates.

Tip: Focus on actual commercia/transactional keywords and make them into prompts. If you want to learn more about that read our dedicated blog post —>

Structure Content for AI Extraction

If you want your message to show up in AI-generated responses, you must change how you write. Clear structure equals higher visibility in ChatGPT and other LLMs. That’s been true across every prompt test we’ve run on aiclicks.io. Make your content as extractable as possible by:

  • Use question‑style headings (H2s/H3s) and provide the answer immediately after the header.

  • Keep answers short, direct and factual, especially in the first sentence.

  • Apply FAQ, HowTo and Article schema so AI models and search engines can easily identify answer sections.

  • Break information into bullet points and numbered lists for scannability.

  • Include summaries or key points that AIs can quote (“In summary…”).

Tip: Think of each section as a mini answer to a specific question, guiding the reader (and AI) through your content seamlessly.

Schema Implementation

Schema is your secret weapon for helping AI tools understand your content. By applying structured data—such as Product, FAQ, and HowTo schemas - you “flag” your most quotable content. This allows AI tools to quickly identify relevant answers and surface them when users ask questions.

Tip: Use FAQ schema to highlight common questions your target audience may ask, and HowTo schema to make instructions easy for AI to follow and present.

Crawlability & Access

Ensuring your pages are accessible to AI crawlers is critical. Avoid heavy JavaScript-only critical content that may block AI tools from reading key information. Use SSR (Server-Side Rendering) to guarantee content is properly rendered for AI models.

Keep Content Fresh and Authoritative

Both Google and AI models reward up‑to‑date, expert content. Google uses EEAT (Experience, Expertise, Authoritativeness, Trustworthiness) as a ranking factor; AI systems value content that demonstrates expertise and is regularly updated. Schedule regular audits to update statistics, fix outdated facts and remove bias.

Build Off‑Site Signals

You can’t game the system with on-site tricks alone. LLMs see repeated brand mentions across different sites as proof of reliability. The more times your content or brand appears in top lists, roundups, or resource articles, the stronger your authority signal.

Make sure your brand is consistently mentioned and cited by authoritative sources in the industry. This is essential for building trust with AI systems, as they prioritize reliable sources. Whether it's through blogs, media articles, or product reviews, consistency matters.

  • Get featured in credible listicles or roundups.

  • Have strong pressence in most popular forums (Reddit, Quora, Stackoverflow);

  • Strengthen your presence on review sites and directories;

  • Pitch your answers or thought leadership pieces to related blogs.

Tip: Reddit is a powerful signal for AI visibility. As shown in the graph, the number of branded threads directly boosts traffic from AI sources. Engaging in forums like Reddit, Quora, and Stack Overflow is a key tactic for increasing citations and visibility.

Topic Relevance

Content must be relevant to both traditional search engines and AI models. GEO strategies require clustering topics based on AI visibility, ensuring content not only answers a broad range of queries but also aligns with how AI systems understand your niche.

Tip: Use SurferSEO topical map tool to group related content and ensure your content supports multiple angles and subtopics, increasing the likelihood of being cited.

Recently, we've launched a case study showing the exact case how a brand can use AI visibility tool and gather unique insights that could help increase it's traffic from AI.

This is the exact flow we showed in the webinar: baseline → gaps → fixes → re-measure - repeated until AI traffic and conversions climb:

How to Combine SEO and GEO Strategies

While SEO and GEO may seem like separate strategies, they share a foundation of high-quality, well-structured content. Combining the best of both strategies will ensure your brand ranks well in traditional search results while also being featured in AI-generated answers.

Here’s how to harmonize both:

  • Optimize pages for both ranking signals (keywords, backlinks, engagement) and answer extraction (concise introductions, Q&A).

  • Target natural language queries for AI while covering high-volume keywords for SEO.

  • Use structured data to enhance Google’s rich results and help AI understand your content better.

  • Monitor both Google rankings and AI citations to get a holistic view of your brand’s performance across all search engines.

By synergizing SEO and GEO, you position your brand to succeed in both traditional search results and AI-driven visibility, ensuring comprehensive coverage in an evolving search landscape.

How AIclicks Supports GEO

AIclicks.io is an AI search visibility and optimization platform that operationalizes GEO. Key features include:

  • AI Search Visibility Tracking: An interactive dashboard summarizes the total number of prompts tracked, brand mentions, unique citations, visibility rate and changes over time. This helps quantify your AI footprint and prove ROI.


  • Prompt‑Level Analysis: You can create prompt libraries see performance metrics per prompt and identify topical strengths and weaknesses. This granular view guides content priorities.


  • Competitor Benchmarking: A competitor module ranks rivals by how often they appear in AI answers and highlights which domains dominate citations. Benchmarking allows you to calibrate your strategy to overtake competitors.


  • Citation Intelligence: AIclicks tracks which models cite which domains, offering insight into the sources models rely on. Knowing whether GPT‑4o Search or Gemini 2.0 Flash references your domain helps refine outreach and content tactics.


  • AI‑Optimized Content Creation: A built‑in writer generates structured content designed for AI discoverability, including headings, references and multilingual support. This accelerates production of GEO‑ready articles.


  • Actionable Recommendations: The platform provides prioritized tasks such as adding an LLMs.txt file to guide AI crawlers, creating a Wikipedia page for brand authority, or targeting content gaps in prompts where visibility is low.


  • Brand Configuration: You can configure your brand name, primary keyword, target market and tone of voice so the AI‑generated content aligns with your messaging.


Conclusion

Answer Engine Optimization is not a replacement for SEO — it is the natural evolution of search optimization in an AI‑dominated world. Traditional SEO will continue to drive traffic from search engines and remains essential for building authority and discovery. GEO ensures that when users ask conversational AI tools for recommendations or instructions, your brand is part of the answer. By understanding the differences in user behavior, optimization targets, authority signals and results presentation, marketers can adapt their content strategy for both ecosystems.

Using tools like AIclicks to track prompt‑level performance, conduct AI visibility audits and generate optimized content simplifies the transition. The most resilient strategy is not AEO versus SEO, but AEO + SEO—a comprehensive approach that captures clicks and conversations alike.

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Use AIclicks to optimize for GEO by tracking, analyzing, and improving your mentions in AI responses.

Use AIclicks to optimize for GEO by tracking, analyzing, and improving your mentions in AI responses.

Use AIclicks to optimize for GEO by tracking, analyzing, and improving your mentions in AI responses.

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