AEO vs GEO: What's the Difference?

AEO vs GEO at a glance

No standards body defines either term. The table below shows the conceptual differences that remain useful, set against what the two terms share in practice.

The top half of the table describes real differences. The bottom half explains why they don't add up to separate disciplines. For a deeper look at whether any of this counts as new, see Is AEO Really a New Discipline?

Where the terms AEO and GEO come from

GEO has a precise, traceable origin. Researchers from IIT Delhi, Princeton and independent contributors introduced it in "GEO: Generative Engine Optimization," released on arXiv in 2023 and published at KDD 2024. The paper describes generative engines as systems that "satisfy queries by synthesizing information from multiple sources and summarizing them using LLMs." It frames GEO as a way to help content creators improve visibility in those responses (Aggarwal et al.).

The paper's definition is narrow. It covers rewriting content and testing it against a benchmark. Vendors now use "GEO" for almost everything: monitoring, PR, schema, Reddit strategy. Most of that broader usage was never tested by the paper.

AEO is older and looser. It grew out of the effort to become the direct answer in featured snippets and voice assistants. It has no single coiner or defining document. It is also not only about voice search. Today the term covers the same AI answer surfaces GEO does.

Picking one answer versus building one

The useful distinction between AEO and GEO is mechanical. Some systems pick an answer. Others build one from many sources.

With a featured snippet, you either hold the box or you don't. A generative engine works differently. It pulls several sources, writes its own response and credits sources inline. That is why the GEO paper argues that rank can't measure visibility there. Citations appear "with different lengths, at varying positions, and with diverse styles." The paper therefore measures visibility with position-adjusted word count and a subjective impression score (Aggarwal et al.).

In practice this looks like the following. Illustrative: ask an assistant for "the best project management tool for a 10-person agency." You might appear as the first recommendation with a full description, as a one-line alternative in the middle, or only as an uncredited source link. Each of these counts as being "in the answer," but they are very different outcomes.

Generative answers also move. Google states that AI Mode and AI Overviews "may use different models and techniques, so the set of responses and links they show will vary." It also notes that AI Overviews often don't trigger at all (Google Search Central). Pew found that only 18% of Google searches in March 2025 produced an AI summary. When a summary did appear, 88% cited three or more sources (Pew Research Center).

What changes for you: a single screenshot or one visibility score tells you little. Check the same prompts across several engines and repeat the checks over time before drawing conclusions.

What the evidence says actually improves AI visibility

The academic research and Google's official guidance point the same way. Substance beats manipulation.

In the GEO paper, rewrites that added citations, quotations from relevant sources and statistics raised source visibility significantly (Aggarwal et al.). A secondary summary reports that keyword stuffing did not help and could hurt. It also reports that lower-ranked pages gained the most from adding sources (Aggarwal et al., 2024, as cited in GEO Wiki).

Google reaches a similar conclusion from the other side. It says unique, non-commodity content, such as first-hand experience and expert perspective rather than restatement, "will likely influence your website's presence in generative AI search in the long run more than any of the other suggestions" in its guide (Google Search Central). That is Google's stated guidance, not independent measurement, but it matches the research.

What to do this week: take one high-intent page, such as a comparison or "how to choose" page. Find every claim a buyer would want proof for. Add the source, the number or a quote from someone with direct experience. Leave the keywords alone.

Treat the "40% boost" as a ceiling, not a forecast

The GEO paper's headline finding, that GEO "can boost visibility by up to 40%," is often quoted as a planning number. It is actually a best case for specific methods in specific domains. The test used GEO-bench, 10,000 queries across 25 domains, run through a GPT-3.5-based engine over the top five Google results. The authors report that effectiveness varied by domain and that improvements reached "up to 37%" on Perplexity.ai (Aggarwal et al.). The GEO Wiki summary cites a lower figure, about 22%, for the live engine (GEO Wiki).

Today's ChatGPT search, Gemini and AI Overviews are also very different systems from the 2023-era setup the paper tested. The direction of the findings holds up well. The size of the lift shouldn't be carried into your projections.

What Google says you can ignore

Google is the only major AI answer operator in this research that addresses AEO and GEO by name. Its guidance is direct: "While terms like Answer Engine Optimization (AEO) or Generative Engine Optimization (GEO) are common online, many suggested 'hacks' aren't effective or supported by how Google Search actually works" (Google Search Central).

For Google Search, the guide says you can skip:

• llms.txt files, "AI text files," special markup or Markdown versions of pages
• Chunking content or rewriting it just for AI
• Seeking inauthentic mentions across the web
• Overfocusing on structured data

It also warns that creating pages for every query variation can violate Google's scaled content abuse policy.

The reason is architectural. Google's AI features are "rooted in our core Search ranking and quality systems." To appear as a supporting link in AI Overviews or AI Mode, a page must be indexed and eligible to show a snippet, and "there are no additional technical requirements" (Google Search Central). For Google, SEO is the entry requirement for GEO.

One limit: this guidance covers Google only. OpenAI and Perplexity may behave differently, so don't assume Google's rules apply to them.

How to prioritize AEO and GEO work with a small team

The order below follows dependency. Each step makes the next one worthwhile. It is not a ranking of proven impact.

1. Fix indexability first. If Google can't index a page or show a snippet from it, that page can't be a supporting link in AI Overviews or AI Mode. Check your key pages in Search Console before doing anything else.
2. Make your most important pages evidence-rich and non-commodity. Start with the pages that answer buying questions: comparisons, pricing logic, "best X for Y." Add sources, data and first-hand detail. Don't spin up variants for every long-tail phrasing.
3. Build authentic off-site presence. Pew found that Wikipedia, YouTube and Reddit together accounted for 15% of AI summary sources, and .gov sites made up 6% of them versus 2% of standard results (Pew Research Center). Google says its AI features reflect what's said across blogs, videos and forums, but that inauthentic mentions aren't helpful. Earn reviews, contribute real expertise to community discussions and pursue legitimate inclusion in third-party roundups. The tradeoffs of that last tactic are covered in Are Third-Party Listicles Good GEO or Just AI-Era Link Building?
4. Monitor repeatedly across engines. Pick 20 to 30 prompts your buyers actually ask. Run them in each major assistant on a schedule. Record whether you appear, how you're described, who is recommended instead and which sources are cited.

For a step-by-step version focused on one assistant, see How to Get Mentioned by ChatGPT.

Measure AI visibility as separate signals

A mention, a citation, a crawler visit, a click and a conversion are different outcomes. Combining them into one number hides what's working.

On crawler visits, Tideflow's own documentation is explicit: "A crawler visit is a discovery signal—not proof of indexing or inclusion in an AI answer" (Tideflow AI).

Track visibility and traffic separately because clicks are scarce. In Pew's March 2025 data, users clicked a traditional result on 8% of visits when an AI summary appeared, compared with 15% without one. They clicked a link inside the summary on just 1% of visits (Pew Research Center). The data is observational and covers Google only, and Google says clicks from AI Overviews are higher quality. Either way, a buyer can form an opinion of your brand from an answer and never visit your site.

For Google specifically, you have first-party data. Traffic from AI Overviews and AI Mode appears in Search Console's Performance report under the "Web" search type (Google Search Central). Search Console also offers a Generative AI performance report (Google Search Console Help).

Where an AI visibility platform fits

Steps 2 through 4 are the hard part to do by hand. They mean running prompts across five engines repeatedly, tracking which competitors and sources show up, turning those gaps into specific content and then connecting results to traffic and conversions. Most teams end up stitching together a monitoring tool, a spreadsheet, a CMS and an analytics setup.

Tideflow AI is built to connect that loop. It monitors ChatGPT, Gemini, Perplexity, Google AI Mode and Google AI Overview for mentions, citations, competitors and cited sources. It turns the gaps it finds into evidence-backed content plans, such as answer articles, listicles and third-party inclusion pitches. It publishes through MCP into your existing coding agent and site stack, and you approve everything before it goes live (Tideflow AI). It also keeps crawler visits, citations and converting referrals as distinct signals rather than combining them into one score (Tideflow AI).

Tideflow is currently in early access. Like every platform in this category, it cannot guarantee that an AI will cite or recommend you. If you're comparing tools, see Tideflow AI vs Profound and Tideflow AI vs Peec AI.

Frequently Asked Questions

Does ranking on Google matter for being cited by ChatGPT or Perplexity?

For Google's own AI features, yes. AI Overviews and AI Mode draw on Google's core ranking systems and index, and pages must be indexed and snippet-eligible to appear as supporting links. For ChatGPT and Perplexity, Google's guidance doesn't apply. Their citation behavior should be observed directly by monitoring those engines rather than assumed from Google rankings.

How do LLMO, AIO and "AI SEO" relate to AEO and GEO?

These are more labels for the same work of earning accurate presence in AI-generated answers. None has a formal definition that separates it from AEO or GEO. Judge any tactic sold under these names by whether it has evidence behind it, not by what it's called.

Should I opt out of Google's AI features?

Most brands that want to be discovered should stay in. Google's Search generative AI control, rolled out worldwide as of August 31, 2026, lets a site exclude itself from AI Overviews, AI Mode and Discover generative features. Google says this doesn't affect ranking elsewhere in Search. Excluding your site doesn't remove similar content published by other sites, and the change takes a few days to take effect. Google-Extended is a separate control that governs AI training (Google Search Console Help).

Your next step

Start by confirming that your ten most important buying-question pages are indexed and snippet-eligible. Next, add real evidence to the weakest of them. Then run the same buyer prompts across ChatGPT, Gemini, Perplexity and Google's AI surfaces for a few weeks. Judge progress by trends in mentions and citations over time, not by any single run. Whether you call the work AEO or GEO, the method is the same.

Sources

• Aggarwal et al., GEO: Generative Engine Optimization
• GEO Wiki, GEO: Generative Engine Optimization (Aggarwal et al. 2024)
• Google, AI Features and Your Website; Google's Guide to Optimizing for Generative AI Features on Google Search; Search generative AI control
• Athena Chapekis, Pew Research Center, Do people click on links in Google AI summaries? (July 2025)
• Tideflow AI, Detect AI Bots; AI Visibility & Content Platform; Tideflow AI vs Peec AI: Which AI Visibility Platform Should You Choose?