The Search Engine You Grew Up With Is Dying
Not slowly. Fast.
For the past two decades, the game was simple: rank on Google's first page, get clicks, get customers. SEO was the discipline that made it happen — keywords, backlinks, technical audits, content. The whole industry was built around one idea: get a blue link in front of someone searching.
That model is breaking down.
In 2024 and 2025, something fundamental changed in how people find information. AI-powered answer engines — ChatGPT, Google's AI Overviews, Perplexity, Claude, Gemini, Microsoft Copilot — started handling millions of queries that used to end with a click on a website. Instead of showing ten blue links, these systems read the web, synthesize an answer, and deliver it directly to the user.
No click required. No visit to your website. No chance to convert.
If your business relies on organic search traffic — and most do — this is not a trend you can afford to ignore.
This article explains what GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) are, why they matter more than anything else you'll read about in digital marketing this year, and exactly what you can do to make your brand visible in the AI-powered search landscape.
What Is AEO? What Is GEO? (And Are They the Same Thing?)
Let's clear up the terminology first, because the industry hasn't fully agreed on it yet.
AEO — Answer Engine Optimization is the practice of optimizing your content so that answer engines — tools designed to directly respond to questions — surface your brand, your content, or your expertise in their responses. This includes voice assistants (Siri, Alexa, Google Assistant), featured snippets, and AI chatbots.
AEO has actually been around in early form since the rise of voice search and featured snippets. The principle is simple: structure your content so that a machine can easily extract a clean, accurate answer to a specific question.
GEO — Generative Engine Optimization is a newer and broader term. It refers to optimizing your content and online presence specifically for Large Language Models (LLMs) and generative AI systems — ChatGPT, Perplexity, Claude, Google's AI Overviews, and whatever comes next. These systems don't just extract a snippet. They read enormous amounts of text, synthesize it, and generate entirely new answers, often citing or referencing sources in the process.
In practice, AEO and GEO overlap significantly, and many practitioners use the terms interchangeably. For the purposes of this article, we'll treat them together: the goal in both cases is to make your brand, your expertise, and your content visible and trustworthy to AI systems that are increasingly mediating the relationship between users and information.
Why This Matters More Than Most People Realize
Here are some numbers that should get your attention.
According to data from 2024, ChatGPT alone processes over 100 million queries per day. Perplexity, which positions itself explicitly as an AI-powered search engine, has grown from near-zero to tens of millions of monthly active users in under two years. Google's AI Overviews (formerly Search Generative Experience) now appears for a significant portion of Google searches globally — and when they appear, click-through rates to organic results drop dramatically.
A study published in 2024 found that AI Overviews reduced organic click-through rates by anywhere from 20% to over 60% depending on the query type. For informational queries — "how to," "what is," "best practices for" — the drop is at the steeper end. These are exactly the queries that content marketing has traditionally been built to capture.
The implication is stark: even if you rank #1 on Google for a keyword, you may be getting far less traffic than you were two years ago for the same position, because the AI Overview above your result is answering the question before users get to your link.
And this is just the beginning. The trajectory is clear. AI search is not a feature — it's the future of how information is accessed.
The Fundamental Shift: From Ranking to Being Referenced
Traditional SEO is about ranking. You want your URL to appear high in a list of results. The metric is position. The outcome is a click.
GEO/AEO is about something different: being referenced, cited, or used as a source by an AI system generating an answer. You're not competing for a position in a list. You're competing to be part of the synthesis.
This changes what matters.
In traditional SEO, a high-authority backlink from a major publication moved the needle because Google counted it as a vote of confidence. In GEO, that same publication matters because the LLM was likely trained on its content, and your association with it builds your credibility in the model's understanding of your domain.
In traditional SEO, keyword density was a (crude) signal. In GEO, topical depth and entity coverage matter more — does the AI "understand" that your brand is an authority on a specific subject?
In traditional SEO, a fast website helped you rank. In GEO, a fast website still matters, but your content's structure, clarity, and ability to be parsed and summarized by a machine is equally important.
The game has changed. The players who recognize this early win.
How AI Models Actually Decide What to Cite
To optimize for AI engines, it helps to understand how they work at a high level.
Large Language Models are trained on massive datasets scraped from the internet — Wikipedia, news sites, blogs, academic papers, Reddit, forums, documentation, and much more. This training happens periodically, which means models have a knowledge cutoff. But retrieval-augmented systems (like Perplexity, or ChatGPT with web browsing enabled) also pull live information from the web at query time.
When a model generates a response, it draws on patterns learned during training combined (in some systems) with live retrieval. The factors that influence whether your content gets used include:
1. Trustworthiness signals
AI systems are designed to avoid hallucination and to cite reliable sources. Content from established, authoritative domains is more likely to be referenced. This means E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) — already important for Google — becomes even more critical for AI.
2. Clarity and extractability
AI models prefer content that is clearly structured, unambiguous, and easy to parse. Content that directly answers questions, uses clear headings, and avoids vague language is more likely to be pulled into a generated response.
3. Topical coverage and depth
Thin content that touches on a topic without going deep is less useful to an AI model synthesizing a comprehensive answer. Long-form, expert-level content that covers a topic thoroughly is more likely to be referenced.
4. Entity recognition
LLMs understand the world through entities — people, organizations, products, concepts. If your brand is consistently associated with specific entities and topics across multiple sources online, the model builds a stronger "picture" of what you are and what you're an authority on.
5. Citations from authoritative sources
If reputable sites mention, link to, or quote your content, AI models are more likely to "know" about you and to treat you as a credible reference.
8 Practical Strategies to Improve Your GEO/AEO Visibility
1. Build Deep, Question-Oriented Content
The single most actionable thing you can do is create content that directly and thoroughly answers the questions your target audience is asking.
This means moving beyond surface-level blog posts. Instead of "5 Tips for Better Website Performance," write "Why Does My Website Score Low on PageSpeed Insights? A Complete Technical Guide." The latter maps directly to a real question someone asks an AI assistant. The former is a listicle that AI systems are less likely to synthesize into an answer.
Use tools like AnswerThePublic, AlsoAsked, or simply Google's "People also ask" section to find the exact phrasing of questions your audience uses. Then write content that answers those questions directly, completely, and with genuine expertise.
Structure each piece with a clear answer early in the content — don't bury the lead. AI systems often pull from the beginning of a section, so putting your clearest, most direct answer first increases the chance it gets referenced.
2. Implement Structured Data (Schema Markup)
Schema markup is code you add to your website that explicitly tells machines what your content is about. It's been important for SEO for years, but it becomes even more critical for AI visibility.
The most valuable schema types for GEO/AEO include:
- FAQPage — marks up question-and-answer content, making it trivially easy for AI systems to extract Q&A pairs
- HowTo — for step-by-step instructional content
- Article and BlogPosting — for editorial content with author and date metadata
- Person — to establish who the author is and their credentials
- Organization — to establish what your company does, where it operates, and how to contact you
- Service — to describe the services you offer in a machine-readable format
If you're not implementing schema markup, you're leaving significant GEO visibility on the table.
3. Establish and Expand Your Entity Footprint
Think of your brand as an entity that AI models need to "know about." The more places your brand appears online — accurately, consistently, and in association with your area of expertise — the stronger your entity footprint becomes.
Practically, this means:
- Complete your Google Business Profile with accurate, detailed information
- Maintain an active LinkedIn presence with detailed descriptions of your expertise
- Get listed in industry directories relevant to your field
- Seek mentions and features in publications, podcasts, and other media your target audience consumes
- Contribute to third-party platforms — guest posts, forum answers, community contributions — where your expertise is visible and attributed to you
When an AI model encounters your name or brand across multiple authoritative sources, all consistently describing you as an expert in a specific domain, it builds a coherent picture of who you are. That makes it more likely to reference you when a relevant question arises.
4. Optimize for E-E-A-T
Google introduced E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) as a framework for evaluating content quality. It was designed for human reviewers assessing search quality, but the underlying signals feed into algorithmic systems — and by extension, into the training data that shapes AI models.
To signal E-E-A-T:
- Show experience: Include real case studies, actual results, and first-hand observations. "I improved this client's PageSpeed score from 30 to 92" is more credible than "PageSpeed optimization can improve scores significantly."
- Demonstrate expertise: Write with depth and specificity. Avoid generic statements. Use correct technical terminology. Cite sources.
- Build authoritativeness: Get your content referenced by other sites. Contribute to industry conversations. Build a reputation in your niche.
- Establish trustworthiness: Use HTTPS, display contact information clearly, maintain accurate author bios, and avoid misleading claims.
5. Create a Comprehensive FAQ Strategy
FAQ content is particularly well-suited to AI visibility. When you structure content as explicit question-and-answer pairs, you're essentially pre-formatting it for extraction by AI systems.
For each core topic your business covers, develop a comprehensive FAQ that addresses:
- The most common questions beginners ask
- The more nuanced questions that experts grapple with
- The objections and misconceptions people have
- The "what if" and edge-case scenarios
Publish these as standalone FAQ pages or embed them within longer articles. Mark them up with FAQPage schema. Update them regularly to keep them current.
6. Target Long-Tail, Conversational Queries
Traditional SEO often focused on head terms — high-volume, short keywords. GEO/AEO shifts the focus toward conversational, specific, long-tail queries, because these are exactly what people type (or speak) into AI assistants.
"HubSpot CMS developer" is an SEO keyword. "What should I look for when hiring a freelance HubSpot CMS developer for white-label projects?" is an AI query.
The second type of query is harder to target with traditional SEO tactics but highly tractable with GEO/AEO approaches — because you can create content that directly, thoroughly answers that exact question.
Map out the full range of conversational questions your potential clients might ask an AI assistant, then create content that answers each one with genuine depth and expertise.
7. Build High-Quality Backlinks and Brand Mentions
Link building remains important, but the goal shifts slightly. You're not just after PageRank — you're after the kind of citations that signal to AI systems that your brand is a credible reference.
Prioritize:
- Links from publications in your industry that are likely to be part of AI training datasets
- Editorial mentions where your brand is cited in context, not just linked in a sidebar
- Co-citations — appearing alongside other recognized authorities in your space
- Press coverage from recognized outlets
Even unlinked brand mentions (NAP — Name, Address, Phone — citations, or simple text references to your company) contribute to your entity footprint and are picked up by some AI systems.
8. Maintain Technical Excellence
AI systems that do live retrieval — pulling current information from the web to supplement their responses — still need to be able to crawl and index your site efficiently. This means technical SEO fundamentals remain essential:
- Fast page load times and strong Core Web Vitals (yes, this matters for GEO too)
- Clean, crawlable site structure with clear internal linking
- Proper use of headings (H1, H2, H3) to signal content hierarchy
- A well-maintained sitemap
- No broken links or crawl errors
- Mobile-friendly design
If your site is slow, hard to crawl, or technically broken, AI systems doing live retrieval will have trouble accessing your content — and may simply not use it.
What Makes GEO/AEO Different From Traditional SEO
It's worth being explicit about the differences, because optimizing for AI engines requires a different mindset in some important ways.
Volume vs. quality. Traditional SEO sometimes rewarded publishing large quantities of content optimized for specific keywords. GEO/AEO rewards fewer, deeper, more authoritative pieces. Ten comprehensive, expert articles will serve you better than a hundred thin posts.
Ranking vs. being cited. You can't check your "position" in ChatGPT the way you check your Google ranking. Success in GEO/AEO is harder to measure but easier to observe — you start showing up when you (or your clients) ask AI assistants questions in your domain.
Keywords vs. topics and entities. Keyword optimization still matters for traditional SEO, but for GEO/AEO, the focus is on owning a topic area and being recognized as an entity with expertise in it. Think thematically, not keyword-by-keyword.
Your website vs. your whole online presence. Traditional SEO was largely about optimizing your website. GEO/AEO is about your entire digital footprint — everything that mentions you, links to you, quotes you, or is associated with your brand online contributes to how AI systems perceive your authority.
The Competitive Window Is Open Right Now
Here's the honest reality: most businesses have not yet seriously invested in GEO/AEO. The discipline is new, the terminology is still settling, and many marketing teams are still focused on traditional SEO metrics.
This is an opportunity.
The businesses that start building their AI search visibility now — through authoritative content, structured data, entity building, and technical excellence — will have a significant head start as AI search continues to grow. The brands that wait until AI-driven traffic loss becomes undeniable will be playing catch-up.
The window for early-mover advantage is open. It will not stay open indefinitely.
Where to Start: A Practical Action Plan
If you've read this far and want to take action, here's a prioritized starting point:
- Audit your existing content — identify your best-performing pages and expand them into comprehensive, question-oriented resources
- Implement schema markup — start with FAQPage and Organization schema at minimum
- Create a question map — list every question your ideal client might ask an AI about your services, then plan content to answer each
- Build your author/entity profile — complete your LinkedIn, Google Business Profile, and any relevant industry directories
- Publish one deep, authoritative piece per month — quality over quantity, every time
- Monitor your AI presence — regularly ask ChatGPT, Perplexity, and Google's AI Overview about topics in your domain and see where you appear
GEO and AEO are not replacements for SEO. They are the evolution of it. The businesses that understand this — and act on it — will be the ones that remain visible, credible, and competitive as the search landscape continues to transform.
The question isn't whether AI search will reshape your industry's marketing. It already is.
The question is whether your brand will be part of the answer.
Tomasz Sygut is a HubSpot CMS Developer and Core Web Vitals specialist at Atom Web Studio. He helps agencies and businesses build fast, high-converting websites on HubSpot, WordPress, and Shopify.
Get in touch if you'd like to discuss your website's performance or visibility.