AEO vs SEO vs GEO: A Plain-English Guide for Your First Marketing Hire
You joined a Series A company as the first marketing hire, and within a month someone forwarded you an agency pitch about GEO, a LinkedIn thread declaring SEO dead, and a board question about “our AI search strategy.” The acronyms overlap, half the explainers are sales pages, and you still have a pipeline number to hit. This post is the decoder: what each term actually means, what genuinely changed in how buyers search, what did not change, and the short list of things a small team should do differently this quarter. No pitch until the end, clearly labeled.
What is SEO?
SEO (search engine optimization) is the practice of making your website easy for search engines to crawl, understand, and rank, so that people find you when they type a query into Google or Bing. It spans technical work (site speed, crawlability, structured data), content (pages that satisfy what the searcher wanted), and authority (links and mentions from other credible sites). The outcome SEO optimizes for is a ranking and a click: your page appears in the results, the searcher clicks, and they land on your site. It has been the backbone of inbound marketing for two decades, and the discipline is mature enough to have well-understood playbooks.
What is AEO (answer engine optimization)?
AEO (answer engine optimization) is the practice of making your content the answer that AI-powered systems extract and present, rather than one link among ten. “Answer engines” include ChatGPT, Perplexity, Google’s AI Overviews and AI Mode, and voice assistants: systems that respond to a question with a composed answer instead of a list of pages. AEO work means structuring content so a machine can lift a clean answer from it - direct definitions, question-based headings, tight paragraphs that stand on their own - and building the entity signals (consistent facts about who you are, everywhere you appear) that make an engine confident enough to cite you. CXL’s guide to AEO is a good deep grounding; the term itself predates ChatGPT and grew out of the featured-snippet and voice-search era.
What is GEO (generative engine optimization)?
GEO (generative engine optimization) means optimizing your content and brand presence so that generative AI engines - ChatGPT, Perplexity, Gemini, Claude, AI Overviews - mention, cite, or recommend you when they generate answers. The term comes from a 2023 academic paper that tested which content characteristics made large language models more likely to cite a source (statistics, quotations, and clear structure all helped). In practice GEO covers the same ground as AEO plus an emphasis on off-site presence: being written about on the review sites, comparison posts, and community threads that generative engines draw on when they compose a recommendation.
AEO and GEO overlap almost completely, and plenty of people use them interchangeably. If you want a distinction: AEO leans toward on-page answer formatting (born from the snippet and voice era), GEO leans toward visibility inside generated responses (born from the LLM era). For a small team the distinction changes nothing about the work. Treat them as one discipline, pick one label for internal docs, and do not pay extra for a vendor who claims they are fundamentally different services.
What actually changed in search behavior?
Two things, and they are measurable.
First, AI tools now shape a large share of B2B buying decisions. G2 research compiled in TripleDart’s roundup of AI search data found that 69% of B2B buyers say AI chatbots have influenced their vendor selection. Your buyer’s first impression of the category increasingly comes from a generated answer, not from your homepage.
Second, when Google answers the question itself, far fewer people click through. Pew Research found that when a results page includes an AI summary, users click a traditional result only 8% of the time, versus 15% without one - roughly half the clicks gone. The ranking you fought for still exists; the click it used to deliver often does not. We dug into what that does to B2B pipelines specifically in our AI Overviews traffic breakdown.
Marketers know this matters and mostly have not acted on it: CommonMind’s survey of B2B SaaS marketers found that 93% rate AI search visibility as important, but only about 14% have a mature strategy for it. That gap is the actual opportunity for a small team - the field is not crowded yet.
One framing rule, and it matters for how you talk to your CEO: SEO is not dead; informational SEO is repriced. “What is X” content that a model can answer without you now earns fewer clicks per ranking. Content that carries opinion, data, product depth, or a decision the buyer must make on your site still converts - and it is also what generative engines prefer to cite.
What stays the same?
More than the pitches admit. AI engines are not a parallel universe; they are built on top of search indexes, crawlers, and the same public web you already publish to.
- Good content still wins. Engines cite sources that actually answer the question with specifics. Thin, generic pages lose in both regimes.
- Entities still anchor everything. Search engines and LLMs both build a model of who you are from consistent facts: name, category, what you do, who you serve. Contradictory descriptions across your site, LinkedIn, and directories hurt you in both.
- Structure still gets rewarded. Clear headings, direct answers, tables, and schema markup helped you win featured snippets; the same formatting makes you extractable by answer engines.
- Authority still compounds. Links, mentions, and third-party coverage are how both Google and generative engines decide you are worth surfacing.
If your team has real SEO fundamentals, you are most of the way to AEO/GEO. The delta is emphasis and measurement, not a new craft.
How do SEO and AEO/GEO actually compare?
| Dimension | SEO | AEO / GEO |
|---|---|---|
| What you optimize for | A ranking and a click | A citation, mention, or recommendation inside a generated answer |
| Where the buyer sees you | Search results page | ChatGPT, Perplexity, Gemini, AI Overviews responses |
| Unit of content | The page | The passage - a paragraph an engine can lift cleanly |
| Key on-page signal | Keywords, links, page experience | Question-based headings, direct standalone answers, structured data |
| Off-site signal | Backlinks | Consistent entity facts plus presence on sources engines cite (reviews, comparisons, communities) |
| Primary metric | Rankings, organic sessions | Citations, share of AI answers, AI-referred conversions |
| Failure mode | Page 2 of results | The engine answers your category question without ever mentioning you |
| Maturity | Two decades of playbooks | Early - ~14% of B2B SaaS teams have a mature strategy |
What should a small team do differently this quarter?
Not a transformation program. Five concrete changes, all doable alongside the day job.
1. Rewrite your highest-value pages to be extraction-friendly
Take your top ten pages by pipeline influence, not traffic. Give each one question-based H2s, and open each section with a two-to-four sentence direct answer that would survive being quoted out of context. Add a table where a comparison exists. Keep FAQ blocks with real questions buyers ask. This is the single highest-leverage formatting change, and it improves the pages for humans too.
2. Make your entity facts boringly consistent
Write one canonical description of your company - name, category, what it does, who it is for - and enforce it everywhere: site footer, About page, LinkedIn, Crunchbase, G2, partner directories. Engines that see three conflicting descriptions of you hedge; engines that see one repeated description assert it.
3. Show up where the engines source their answers
When someone asks ChatGPT “best tools for X,” the answer is assembled largely from third-party comparison posts, review platforms, and community threads, not from vendors’ own sites. Getting present in those sources is its own playbook - we wrote it up in how to get your SaaS recommended by ChatGPT. Skip the shortcuts that promise a config file will do this for you; we tested that claim in does llms.txt actually work.
4. Change what you measure
Raw organic sessions will undercount you from now on: buyers who researched in AI tools arrive later, via brand search or direct, or never visit until they are ready to talk. Start tracking AI-referred traffic as its own channel (our GA4 setup guide walks through it), watch what those visitors convert to, and check monthly whether the major engines mention you for your ten most important buying questions. Do it manually first; graduate to an AI visibility tool when manual checking stops scaling.
5. Reprice, do not abandon, informational content
Keep publishing top-of-funnel explainers, but judge them as citation assets and audience builders, not as click machines. Put your original data, opinions, and product-adjacent depth where the click still happens: comparison pages, use-case pages, anything a buyer must read on your site to decide.
A useful monthly ritual: ask ChatGPT, Perplexity, and Google (with AI Overviews) your ten most important buying questions. Record who gets cited. That 30-minute exercise tells you more about your AI search position than any dashboard, and the 93%-important / 14%-mature gap means most of your competitors are not doing it.
Where Marqeable fits
Most of the work above is content work with a structure bar attached, and that is the part Marqeable helps with. The AI content studio drafts blog, email, and social content from a real brief in your brand voice, and the review step scores each draft for structure and clarity before anything ships - which is exactly the extraction-friendly bar this post describes. Attribution then ties revenue back to the exact message, so when AI-referred visitors start converting, you can see which content did it instead of guessing from session counts. We’re in private beta with a small early cohort - get early access.
Frequently asked questions
What is the difference between AEO and SEO?
SEO earns rankings and clicks in traditional search results. AEO makes your content the answer that AI systems extract and cite. The underlying skills overlap heavily; the outcome you optimize for is different - a click versus a citation.
Are AEO and GEO the same thing?
Close enough to treat as one discipline. GEO comes from the LLM era and emphasizes visibility in generated answers; AEO comes from the snippet and voice era and emphasizes answer-shaped content. Many practitioners use them interchangeably, and the tactics are nearly identical.
Is SEO dead?
No. Informational SEO is repriced: Pew Research found searches with an AI summary get a click on a traditional result 8% of the time, versus 15% without one, so top-of-funnel rankings deliver fewer clicks. The fundamentals underneath - crawlable sites, structured content, entity consistency, authority - power AI answers too.
How do I measure AEO or GEO?
Check whether the major engines cite you for your key buying questions, tag AI-referred sessions in your analytics, and measure conversions from those sessions. Citations and AI-referred conversions are the metrics; raw sessions will mislead you.
Do we need an AEO agency?
Probably not yet. If you have SEO fundamentals, the delta is formatting, entity consistency, third-party presence, and measurement - all doable in-house this quarter. Revisit once you have a baseline and know where you are not being cited.
The bottom line
SEO, AEO, and GEO are not three strategies. SEO is the established discipline of earning search visibility; AEO and GEO are two names for its extension into AI-generated answers, and they overlap so heavily you should treat them as one. What changed is real: AI chatbots now influence vendor selection for 69% of B2B buyers and answered queries lose roughly half their clicks. What stayed the same is also real: good content, consistent entities, and clean structure win in both regimes. A small team that rewrites its key pages for extraction, locks its entity facts, shows up in cited sources, and measures citations and AI-referred conversions will be ahead of the roughly 86% of B2B SaaS teams without a mature strategy. The acronyms are noise. The quarter of focused work is the signal.
Marqeable runs your campaigns, answers every visitor, text, and email in seconds, and turns them into booked jobs and meetings - even at 9pm on a Saturday. We’re in private beta with a small early cohort. Get early access
