# GEO vs AEO vs SEO: what is actually different

> SEO earns rankings and clicks in search results. AEO (answer engine optimization) shapes pages so a search feature or assistant can lift a direct answer. GEO (generative engine optimization) aims to get your content retrieved and cited inside AI-written answers in ChatGPT, Perplexity and Google AI Overviews. Most of the work is shared, and Google says optimizing for its AI features is still SEO. What differs is the scoreboard, the query shape and the weight of off-site mentions.

- Page: https://methodcrew.com/insights/geo-vs-aeo-vs-seo
- Published: 2026-10-28
- Last updated: 2026-10-28
- Publisher: [The Method Crew](https://methodcrew.com/)
- Category: Search
- Reading time: 9 minutes
- Question answered: GEO vs SEO

## Key takeaways

- SEO earns the ranking and the click, AEO earns the lifted answer, and GEO earns the citation or mention inside an AI-written answer.
- Google's own guide says optimizing for generative AI search is still SEO. Crawl access, indexing and original content carry all three.
- What changes is how success is counted, how long and specific the queries are, and how much off-site descriptions of your company matter.
- AI crawlers from OpenAI, Anthropic and Perplexity do not run JavaScript, so text that only renders client-side is invisible to them.
- Buy one program with 3 sets of measures, not 3 retainers that edit the same pages.

## What do GEO, AEO and SEO mean?

SEO gets your pages ranked and clicked in search results. AEO shapes pages so a search feature or voice assistant can lift a direct answer from them. GEO gets your content retrieved and cited inside answers that a language model writes.

In one line each:

- Search engine optimization (SEO) is the work of getting pages crawled, indexed and ranked so people click through to them.
- Answer engine optimization ([AEO](https://methodcrew.com/glossary/answer-engine-optimization)) is the work of structuring pages so a featured snippet, a voice assistant or an AI answer can quote a direct answer from them.
- Generative engine optimization ([GEO](https://methodcrew.com/glossary/generative-engine-optimization)) is the work of getting your content retrieved, quoted and cited in answers written by tools such as ChatGPT search, Perplexity, Claude, Copilot and Google AI Overviews.

Our working view, after reading the platform documentation closely: these are 3 scoreboards for one body of work. Most of what improves one improves the other two. The differences are real, but they sit at the edges, and a buyer who pays for 3 separate programs usually pays for the same page edits more than once.

## Where did each term come from?

SEO dates to the commercial search engines of the 1990s. AEO came out of the featured snippet and voice assistant era of the late 2010s. GEO was named in a research paper first posted in November 2023, and it has since entered Bing's official guidelines.

SEO grew up around crawling, relevance and links. The craft has changed many times, but the core question has stayed the same: will a search engine find this page, understand it and rank it above the alternatives?

AEO came into use when Google started answering questions directly on the results page through featured snippets, and when voice assistants started reading one answer aloud. The goal was to be the single lifted answer. The term has since stretched to include AI answers, which is most of the reason people now use AEO and GEO interchangeably.

GEO has a precise origin. Pranjal Aggarwal and colleagues introduced it in [GEO: Generative Engine Optimization](https://arxiv.org/abs/2311.09735), accepted at KDD 2024. They described generative engines as systems that retrieve sources and then write an answer, built a benchmark of queries to test rewriting tactics, and reported that GEO methods can "boost visibility by up to 40%" in generative engine responses.

Two platform statements since then frame the debate. In February 2026, Bing's Webmaster Guidelines named GEO and defined it as "focused on content eligibility for grounding and reference in AI responses" ([Search Engine Journal](https://www.searchenginejournal.com/bing-adds-geo-to-official-guidelines-expands-ai-abuse-definitions/)). In July 2026, Google's [AI optimization guide](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide) took the opposite framing: "optimizing for generative AI search is optimizing for the search experience, and thus still SEO." Both can be true. Bing is describing a goal, and Google is describing the method.

## What stays exactly the same?

Nearly all the foundations stay the same: crawl access, indexing, text in the HTML, fast and stable pages, original content and a reputation that other sites confirm. Google's [AI features documentation](https://developers.google.com/search/docs/appearance/ai-features) says a page needs to be indexed and eligible for a snippet to appear in AI Overviews or AI Mode, with "no additional requirements."

The shared work, in the order we do it:

1. Technical access: robots rules, an XML sitemap, canonical URLs, real 404 responses and no redirect chains.
2. Text in the HTML that arrives from the server, not text that appears only after scripts run.
3. One topic per URL, with a title, H1 and description that agree with each other.
4. Original content that answers a real question better than the pages already ranking. Google's guide describes unique, experienced takes "that go beyond common knowledge" as what matters most over time.
5. Reputation: links and mentions from sites your buyers already trust.

If a provider proposes GEO work before these 5 are in order, the sequence is wrong.

## What actually changes?

Four things change: how success is counted, the shape of the query, the weight of off-site mentions and the number of crawlers you have to plan for. The page edits underneath change less than the vocabulary suggests.

### Citations and mentions sit next to clicks

In classic search, a result means a ranking and, with luck, a click. In an AI answer, the result can be a citation link, a mention of your company name with no link, or nothing visible even when your page shaped the answer. Clicks per appearance are lower. A mention inside a shortlist answer ("three firms that build n8n automations for law firms") can still be worth more to a services business than a ranking on page two.

### Prompts are longer and get split up

Buyers type longer prompts into assistants and add context, such as company size, location and budget. Google's AI features use "query fan-out," which means "issuing multiple related searches across subtopics and data sources." Ahrefs data [reported in March 2026](https://www.searchenginejournal.com/google-ai-overview-citations-from-top-ranking-pages-drop-sharply/568637/) found that only 38 percent of AI Overview citations came from pages in the top 10, down from 76 percent in its July 2025 data, with a warning that the two datasets are not directly comparable. The practical change: pages that answer the sub-questions well get cited even when they do not rank for the head term. Google also warns that publishing a page for every variant is scaled content abuse, so the answer is better pages, not more of them.

### Off-site descriptions of you matter more

When an assistant builds a shortlist, it pulls from pages that compare vendors: directories, review sites, comparison articles and community threads. If those pages describe your company inconsistently, or not at all, there is little for the model to repeat. Bing's guidelines now ask that "entity names should be clear and consistent." This is [entity SEO](https://methodcrew.com/glossary/entity-seo) work, and in GEO it moves from a nice extra to a core task.

### More crawlers, and most of them do not render JavaScript

SEO mostly meant planning for Googlebot and bingbot, both of which render JavaScript. GEO adds OAI-SearchBot, PerplexityBot, Claude-SearchBot and their user-fetch agents, each with its own robots token. Vercel's [crawler study](https://vercel.com/blog/the-rise-of-the-ai-crawler) found that none of the major AI crawlers render JavaScript. A site that looks fine in Google can be blank to ChatGPT. Our guide to [getting cited by ChatGPT, Perplexity and AI Overviews](https://methodcrew.com/insights/get-cited-by-chatgpt-perplexity-ai-overviews) lists every token and what blocking each one does.

## GEO vs AEO vs SEO side by side

The table compares the three on the points that change decisions. Rows where all three columns say nearly the same thing are the shared foundation.

| | SEO | AEO | GEO |
|---|---|---|---|
| Goal | Rank and earn the click | Be the direct answer that gets lifted | Be retrieved, quoted and cited in a generated answer |
| Where it shows | Search results pages | Featured snippets, voice answers, [AI Overviews](https://methodcrew.com/glossary/ai-overviews) | ChatGPT, Perplexity, Claude, Copilot, Gemini, AI Overviews and AI Mode |
| Unit of success | Position and clicks | Your text shown as the answer | A citation or a brand mention |
| Query shape | Short keywords | Questions | Long prompts split into sub-questions |
| On-page levers | Relevance, structure, internal links | Question headings with short direct answers, lists, tables | Answer-first sections, sourced numbers, quotations, definitions |
| Off-site levers | Links | Links | Links, plus accurate descriptions on pages AI answers cite |
| Crawlers to plan for | Googlebot, bingbot | Same as SEO | Same, plus OAI-SearchBot, PerplexityBot, Claude-SearchBot and others |
| Main measures | Search Console clicks and positions, conversions | Snippet ownership, AI feature impressions | Citations, prompt panel results, AI referral visits |
| Typical abuse | Link schemes | Thin question pages | Hidden instructions to models, page farms for prompt variants |

## How do you measure each one?

Measure SEO with Search Console clicks, positions and conversions. Measure AEO with snippet ownership and AI feature impressions. Measure GEO with Bing's citation data, a fixed prompt panel and AI referral traffic. None of the GEO measures is complete on its own.

| Measure | Where to get it | Covers |
|---|---|---|
| Clicks, impressions, average position | Google Search Console performance report | SEO |
| Impressions in AI Overviews, AI Mode and Discover | Search Console generative AI performance report, available to all sites since August 31, 2026 ([Google](https://developers.google.com/search/blog/2026/06/gen-ai-performance-reports)) | AEO, GEO |
| Featured snippet ownership | Any rank tracker that records search features | AEO |
| Citations, cited pages and grounding queries | Bing Webmaster Tools AI Performance dashboard ([Microsoft](https://about.ads.microsoft.com/en/blog/post/march-2026/the-ai-performance-dashboard-your-view-into-where-your-brand-appears-across-the-ai-web)) | GEO |
| Mentions and citations for buyer prompts | A fixed monthly prompt panel you run yourself | GEO |
| Sessions and inquiries from chatgpt.com, perplexity.ai, gemini.google.com, copilot.microsoft.com and claude.ai | Your analytics | GEO |

Neither Google's AI report nor Bing's dashboard shows clicks, so put a pipeline number next to the visibility numbers: qualified inquiries from organic search and from AI referrals, counted the same way each month. That is the figure a COO will ask about. Our glossary entry on [AI visibility](https://methodcrew.com/glossary/ai-visibility) covers how to report share of voice across assistants without overstating it.

## Do you need a separate GEO program?

No. Run one program with 3 sets of measures. Splitting SEO and GEO between 2 providers usually means 2 teams editing the same pages toward the same goal, and arguing about credit.

How we package it: an [SEO and GEO audit](https://methodcrew.com/services/seo-and-geo) at $3,500 to $8,000 covers technical health, AI crawler access, content and entity consistency in one pass. A [monthly retainer](https://methodcrew.com/services/seo-geo-retainers) at $3,000 to $8,000 runs all three scoreboards from one plan and one report. A separate [answer engine optimization sprint](https://methodcrew.com/services/answer-engine-optimization) at $6,000 to $15,000 makes sense in one specific case: the site is technically sound and ranks, but its key pages were not written to be quoted. They have no direct answers, no tables and no sources.

If someone offers GEO as a line item on top of an existing SEO retainer, ask what work it contains that the SEO scope does not. If the answer is a prompt-tracking dashboard and an llms.txt file, you are paying twice for reporting.

## What should you do this quarter?

Spend the first month on access and baselines, the second on rewriting the pages that carry revenue, and the third on entity cleanup and a re-measure. This 12-week plan covers SEO, AEO and GEO together.

| Weeks | Work | Output |
|---|---|---|
| 1 to 2 | Crawl the site, check robots.txt for each AI crawler, confirm key text is in the server HTML, verify Search Console and Bing Webmaster Tools | A list of blocking issues, each fixed or scheduled |
| 3 to 4 | Run 30 to 50 buyer prompts across 6 assistants and record rankings for the same topics | A baseline sheet of mentions, citations and cited URLs |
| 5 to 8 | Rewrite the 5 to 10 pages that carry revenue: answer-first sections, tables, sourced numbers, definitions and schema that matches the visible text | Rewritten pages with honest updated dates |
| 9 to 10 | Make the company name and description identical everywhere, and correct your profiles on the directories AI answers cite | A list of profiles fixed and pages contacted |
| 11 to 12 | Re-run the panel and both reports, and compare with the baseline | A one-page report and next quarter's priorities |

Twelve weeks is short for citation changes. Treat week-12 numbers as an early signal and judge the program on 2 quarters. If you want this run for you, the work fits inside the retainer above, and [content operations](https://methodcrew.com/services/content-operations) covers the rewriting when the page count is high. The [AI search content engine](https://methodcrew.com/blueprints/ai-search-content-engine) blueprint shows that system end to end, from buyer question to reviewed, published page.

## When do the labels stop mattering?

The labels stop mattering once you are doing the shared work well, and they never matter when the basics are missing. Four limits are worth stating plainly.

First, nothing in GEO helps a page Google has not indexed. Fix indexing and rendering before anything else.

Second, check whether your buyers research in assistants at all. A firm that wins work through referrals, repeat clients or formal RFPs should run a prompt panel before paying for citation work. Software buyers are a different case, which is why we cover it on our [SaaS and technology page](https://methodcrew.com/industries/saas-technology).

Third, the evidence base is young. The GEO paper is a lab benchmark from before current production engines, AI answers change between runs, and model updates shift results without notice. Any "GEO hack" that comes with a precise number and no source is folklore.

Fourth, the shortcuts are traps. Hidden instructions aimed at models are abuse under Bing's guidelines, and a page for every prompt variant is scaled content abuse under Google's. The durable version of all three disciplines is the same: be the clearest, best-sourced answer to a question your buyers actually ask, on a page every crawler can read.

## Common questions

### Is GEO replacing SEO?

No. Google's AI Overviews and AI Mode draw on the same search index, and Google's own guide says optimizing for generative AI search is still SEO. Other assistants run their own crawlers, but they reward the same things: accessible text, clear answers and original content. What has changed is how success is counted, with citations and mentions now sitting next to clicks.

### Is AEO the same thing as GEO?

They overlap heavily. AEO started with featured snippets and voice answers and focuses on making a page easy to lift as a direct answer. GEO focuses on being retrieved and cited inside an answer a language model writes, which adds AI crawler access and off-site descriptions of your company. Many providers now use the two terms loosely, so ask what work is actually included.

### Does Google rank pages differently for AI Overviews?

Google says there are no additional requirements beyond being indexed and eligible for a snippet. It does use query fan-out, running related searches across subtopics. Ahrefs reported in March 2026 that 38 percent of AI Overview citations came from top-10 pages, so a page that ranks lower for the head term can still be cited for a sub-question.

### Should we hire a separate GEO agency?

Usually not. Two providers editing the same pages toward the same goal creates duplicate work and arguments about credit. Hire one team that covers technical SEO, answer-first content, AI crawler access and entity cleanup, and ask for one report that shows rankings, AI feature impressions, citations and AI referral inquiries side by side.

### How long before GEO work shows results?

Technical fixes show fastest. OpenAI says robots.txt changes for OAI-SearchBot apply in about 24 hours, and an unblocked page can be indexed soon after. Content rewrites and entity cleanup take longer because engines need to recrawl and other sites need to update. We judge a program on 2 quarters of data and treat the first 12 weeks as an early signal.

## Services that do this work

- [SEO and GEO](https://methodcrew.com/services/seo-and-geo): Technical SEO plus pages written to be quoted by ChatGPT, Perplexity and AI Overviews. $3,500 to $15,000 per project.
- [Answer engine optimization (AEO)](https://methodcrew.com/services/answer-engine-optimization): 10 to 25 pages rewritten so AI answers can quote them, tracked on 30 to 50 buyer prompts. $6,000 to $15,000 per project.
- [SEO and GEO retainers](https://methodcrew.com/services/seo-geo-retainers): Monthly fixes and new pages, with a report on rankings and AI citations. $3,000 to $8,000 per month.
- [Web design and development](https://methodcrew.com/services/web-design-development): Custom Next.js sites, server-rendered so search engines and AI crawlers read every page. $18,000 to $80,000 per project.

## Terms used in this article

- [Generative engine optimization (GEO)](https://methodcrew.com/glossary/generative-engine-optimization): Generative engine optimization is the work of making your pages likely to be retrieved, quoted and cited in AI-generated answers from ChatGPT, Perplexity, Gemini and Google AI Overviews.
- [Answer engine optimization (AEO)](https://methodcrew.com/glossary/answer-engine-optimization): Answer engine optimization structures pages so a search engine or AI assistant can lift a direct answer from them, as a featured snippet, voice answer or AI citation.
- [Google AI Overviews and AI Mode](https://methodcrew.com/glossary/ai-overviews): AI Overviews are AI-generated summaries shown at the top of some Google results with links to sources; AI Mode is a conversational search view built on the same systems.
- [Entity SEO](https://methodcrew.com/glossary/entity-seo): Entity SEO is making sure search engines and AI systems recognize your business as one distinct thing, with consistent facts about what it is, does and connects to.
- [AI visibility (share of voice in AI answers)](https://methodcrew.com/glossary/ai-visibility): AI visibility measures how often AI assistants mention or cite your business when answering the questions your buyers ask, compared with competitors over the same set of prompts.