Generative Engine Optimization (GEO): What It Is and What Actually Works

Generative engine optimization (GEO) is the practice of making your content easy for AI answer engines to find, trust and cite. Those engines include Google’s AI Overviews and AI Mode, ChatGPT search, Perplexity and Microsoft Copilot. Instead of chasing a ranking position, you’re trying to become one of the sources an AI system quotes, links or names when it writes an answer.

In practice, GEO is mostly good SEO with a few extra checks. The pages must be crawlable by each platform’s bot, indexed, and written so a single passage answers a single question. Google said it bluntly in July 2026: optimizing for its generative AI features “is optimizing for the search experience, and thus still SEO.”

This guide is the hub for everything I’ve written on AI search. I’ll cover where the term came from, what the research actually measured, what each platform documents, and the decision path I use. Each area links to a deeper post.

Where Did the Term “Generative Engine Optimization” Come From?

The term comes from a research paper called GEO: Generative Engine Optimization. Its authors are Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan and Ameet Deshpande. Version 1 went up on arXiv on November 16, 2023, the latest revision on June 28, 2024, and the paper was accepted at KDD 2024.

The authors defined a “generative engine” as a system that pairs a large language model with search, then writes one answer from several sources. They asked a simple question. If you only control your own page, what changes make that engine quote you more?

To test it, they built GEO-bench, a set of 10,000 queries drawn from nine datasets. Their main test engine was a simulation. It took the top 5 Google results for a query and had GPT-3.5-turbo write an answer from them. They also ran a smaller test on Perplexity, which was a live product.

What Did the GEO Research Paper Actually Find?

The paper tested nine ways to rewrite a source page. Three did best: adding quotations from relevant people, adding statistics, and citing sources. The abstract says GEO “can boost visibility by up to 40%” in generative engine responses. In the full results, the best methods beat the baseline by 41% on one visibility metric and 28% on another.

Keyword stuffing, the oldest trick in classic SEO, did badly. The authors report “little to no improvement,” and in places it scored below the unedited page. That one finding alone is worth remembering when someone sells you an “AI keyword density” tool.

Here’s the detail I find most interesting. The Cite Sources method raised visibility by 115.1% for pages ranked fifth in the search results, while the top-ranked page lost 30.3% on average. So the tactics seemed to help smaller, lower-ranked sources catch up inside the answer.

How Much Should You Trust Those Numbers?

Treat them as research findings, not guarantees. My reasons are practical, not academic.

First, “visibility” in the paper means how many words from your page appear in the answer and how prominent they are. It doesn’t mean clicks, leads or sales. Second, the main engine was a 2023 simulation built on GPT-3.5-turbo, and every engine I cover below has changed its models and retrieval since then. Third, the paper itself says results vary by domain, so a tactic that helped history questions may do nothing for plumbing.

The part that has aged well is the setup. The engine only cited pages that search had already surfaced. So the first job of GEO was always to be retrievable, and only then to be quotable.

What Does GEO Mean in Practice on Each Platform?

Each AI engine finds sources differently, and each documents a different amount. This table sums up what the platforms themselves say, as of October 2026. Where a platform says nothing, I say nothing.

Google AI Overviews and AI Mode

Google’s AI features documentation states: “There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary.” A page just has to be indexed and eligible to show with a snippet. Both features use query fan-out, which means one answer can pull from pages ranking for related sub-questions you never targeted.

Google went further on July 10, 2026, with a page titled Optimizing your website for generative AI features on Google Search. It says you don’t need new machine-readable files, Markdown versions or special schema, and that there’s “no requirement to break your content into tiny pieces.” Its advice is to focus on “non-commodity content that’s helpful, reliable, and people-first,” and to ignore “AEO/GEO hacks.”

For measurement, Search Console’s Generative AI performance report has been live for all websites since August 31, 2026. It shows impressions in AI Overviews and AI Mode. It doesn’t show clicks.

ChatGPT Search

OpenAI’s crawler documentation splits its bots by job. OAI-SearchBot surfaces sites in ChatGPT’s search features, GPTBot collects content that may be used for model training, and ChatGPT-User visits pages when a person asks ChatGPT to. Block OAI-SearchBot and your pages won’t be shown in ChatGPT search answers, though they can still appear as navigational links.

That split matters. I’ve seen plenty of robots.txt files that block “all OpenAI bots” because someone wanted to stop training. That one line also removes the site from ChatGPT search.

Perplexity

Perplexity documents two agents. PerplexityBot exists “to surface and link websites in search results on Perplexity,” and Perplexity says it isn’t used to crawl content for AI foundation models. Perplexity-User fetches pages when a user asks a question, and it generally ignores robots.txt because a person triggered the visit.

Microsoft Copilot

Copilot grounds its answers in Bing. Microsoft’s February 10, 2026 announcement of AI Performance in Bing Webmaster Tools lists total citations, cited pages and “grounding queries,” the phrases the AI used to retrieve your content. The same post tells publishers to deepen expertise, structure pages with headings, tables and FAQ sections, back claims with examples and data, and keep content current, using IndexNow so AI systems see the latest version.

The Condition Map: What Changes Your GEO Plan?

GEO advice goes wrong when it ignores the starting point. Four variables change what I’d do first on a site.

1. Is the site already indexed and getting impressions in Google? If not, nothing else in this guide matters yet.
2. Can every AI crawler you care about reach the pages? A firewall, CDN rule or robots.txt line can quietly block one platform and not another.
3. Does the AI already know who you are? A brand with consistent mentions across the web gets described correctly. An unknown brand gets confused with others or skipped.
4. Is the query informational or commercial? Informational answers cite explainers. Commercial answers (“best X for Y”) lean on comparisons, reviews and third-party lists.

The Main Path: A Site With Basic SEO in Place

This is the most common case I see: a small business or SaaS site that’s indexed, gets some Google traffic, and wants to show up in AI answers. Here’s the order I work in.

If any AI crawler is blocked, fix access first, because a blocked bot means zero citations on that platform no matter how good the page is. My technical SEO for AI search guide covers robots.txt rules per bot, CDN settings and JavaScript rendering.

If access is fine, check whether your key pages answer one question per section in the first two or three sentences under each heading. Answer engines pull passages, and a passage that circles the point before landing on it rarely gets quoted.

If the pages answer cleanly but nobody cites you, the gap is usually trust and evidence. Add named sources, real numbers with their origin, and a clear author. That lines up with the paper’s best three methods and with Google’s own people-first guidance.

If none of that applies, measure before changing anything. Pull the Search Console Generative AI report, check Bing’s AI Performance report, and run a small set of real buyer questions by hand.

Branch 1: When the Site Isn’t Ranking in Classic Search Yet

If a site isn’t indexed or barely gets impressions, I tell the owner to park GEO entirely. Google’s AI features need an indexed page with a snippet. Copilot depends on Bing’s index. The 2023 paper’s engine only cited pages from the top 5 search results.

So the work is plain SEO: crawlability, one page per query, content that beats what’s ranking now, and links from sites that matter in your niche. When a business needs someone to run that end to end, that’s where our AI search optimization service starts too, with the SEO base before any AI-specific work.

Branch 2: When You Rank Well but AI Answers Name Competitors

This branch is more frustrating, and more common than people expect. You rank on page one, yet ChatGPT or Perplexity recommends three competitors and skips you.

Usually the answer engine is leaning on sources outside your site: review platforms, comparison articles, forums and industry lists. Your own page can’t fix that alone. You need accurate, consistent mentions where buyers already look, earned honestly, which is the topic of my post on backlinks vs brand mentions.

I’d also check how the engines describe you. If the description is wrong or vague, the fix is often an About page, consistent business details, and clear statements of what you do and for whom.

The AI Search Hub: Every Area, Summarized and Linked

Each area below has one owner post on Skyranko. I give you the short version here and the full method there.

GEO vs SEO. GEO sits on top of SEO rather than replacing it, and the GEO vs SEO comparison separates what’s genuinely different from what stays the same.

Google AI Overviews. Google documents no special requirements, so the job is ordinary SEO done well plus answer-first passages. My guide on how to rank in Google AI Overviews walks through how citations seem to be chosen and how AI Mode differs.

Traffic impact. AI summaries tend to cut clicks on informational queries, but the size of the drop varies a lot by query type. The AI Overviews traffic impact post puts Google’s claims next to independent studies and shows how to measure your own site.

ChatGPT. Eligibility starts with OAI-SearchBot access, and the rest is clarity and reputation. See how to get cited by ChatGPT for the bot split and a decision matrix.

Perplexity. Most of it is a short checklist if your Google SEO is solid. The Perplexity SEO post covers its crawlers, robots.txt and what’s folklore.

Technical access. Crawler permissions, CDN blocks, raw HTML and rendering live in technical SEO for AI search.

Schema. Structured data helps machines read your facts, but Google says it isn’t required for AI features. The schema markup for AI search guide explains which types still earn their place.

llms.txt. It’s a proposal, not a standard, and Google Search doesn’t use it. My llms.txt explainer says when it’s worth 20 minutes and when it isn’t.

Tracking. Because AI answers change between runs, one screenshot proves little. My method and free template are in how to track brand mentions in AI answers.

Tools. Start with the free first-party reports, then add one paid tracker only if you need prompt-level data. The AI search optimization tools list compares eight options.

AI-written content. Google doesn’t penalize content because AI wrote it, but it does act on scaled, low-value pages. The evidence is in does Google penalize AI content.

Mentions and links. Links still carry the ranking signal, while mentions shape how AI answers describe you. That trade-off is in backlinks vs brand mentions.

Which GEO Tactics Are Folklore?

Plenty of GEO advice has no primary source behind it. These are the claims I push back on most often.

• “You need an llms.txt file to get cited.” Google says you don’t need new AI text files, and no major AI company says it uses them to pick sources.
• “Chunk every page into tiny blocks.” Google’s July 2026 guide says there’s no requirement to do that. Clear sections help readers, which is enough.
• “Special AI schema gets you into AI Overviews.” Google says there’s no special schema.org markup for its generative AI features.
• “Repeat the keyword so the AI notices.” The original paper found keyword stuffing gave little to no improvement.
• “We guarantee ChatGPT citations.” OpenAI says ChatGPT search placement isn’t guaranteed, and Google says there’s no special optimization for AI features. So nobody can promise it for them.

Edge Cases That Change the Path

• Local businesses: if the question is “near me” or city-based, fix the Google Business Profile first. Google’s AI features guidance lists keeping Business Profile information current among its best practices.
• You blocked AI training on purpose: you can block GPTBot for training and still allow OAI-SearchBot for search. Choose per bot instead of blocking a whole company.
• Heavy JavaScript sites: if your main text only appears after scripts run, assume many AI crawlers won’t see it, and serve the text in the HTML.
• YMYL topics (health, money, legal): the bar for trust is higher, so named experts, citations and review dates matter even more.

The GEO Decision Matrix

How Do You Measure Generative Engine Optimization?

Start with the free data. Search Console’s Generative AI performance report shows impressions in AI Overviews and AI Mode by page. Bing Webmaster Tools shows Copilot citations and grounding queries. Your analytics shows referral visits from chatgpt.com and perplexity.ai.

Then add a hand-run prompt set: 20 to 50 real buyer questions, asked the same way each month, logged in a sheet. It’s slow. It’s also the only way to see unlinked mentions, which no first-party report counts yet.

When Should You Bring In Help?

If you’ve fixed crawler access and rewritten your key pages, yet competitors still own every AI answer in your niche, the problem usually sits in reputation and content depth across the whole site. That takes months of steady work. If you’d rather hand it off, the Skyranko AI search optimization service covers that, and the free audit is a low-risk way to see where you stand first.

Frequently Asked Questions

What Is Generative Engine Optimization in Simple Terms?

It’s making your content easy for AI answer engines to find, trust and quote. Think of it as SEO for the answer box: same foundations, but success means being cited or named in an AI answer instead of holding a position in a list of links.

Who Coined the Term GEO?

The term comes from the paper “GEO: Generative Engine Optimization” by Pranjal Aggarwal and five co-authors, first posted to arXiv on November 16, 2023 and accepted at KDD 2024. The paper also introduced GEO-bench, a 10,000-query benchmark for testing visibility in generative engines.

Is GEO Different From AEO?

Mostly in name. Google’s own guide lists AEO (answer engine optimization) and GEO side by side and says optimizing for its generative AI features is still SEO. I use GEO because it’s the term from the original research, but the work is the same.

How Long Does Generative Engine Optimization Take to Work?

No platform publishes a timeline. A crawler fix can show up in AI answers once the page is recrawled. Reputation work, like earning mentions on trusted sites, usually takes months. I’d track a fixed prompt set for at least three months before judging results.

Does Google Penalize Sites for Doing GEO?

No. Google’s guidance simply says it isn’t needed as a separate practice. What Google does act on is spam: scaled low-value pages, fake mentions or manipulative links, whatever label someone puts on them.

Last updated: October 2026 by Mizanur Rahman