What is generative engine optimization (GEO)?

Generative engine optimization (GEO) is the practice of shaping content, listings and brand mentions so AI engines cite or name a source inside a generated answer. A 2023 paper by Aggarwal et al., presented at KDD 2024, named GEO and measured visibility gains of up to 40% in AI answers. Compare GEO with SEO and AEO in the table below, then follow 5 GEO steps for Kansas City businesses.

SEO, AEO and GEO share one foundation: pages Google and Bing can crawl, index and trust. Full 7-attribute table below.
AttributeSEOAEOGEO
Target surfaceRanked results and the map packFeatured snippets, voice assistants, answer boxesAI answers in ChatGPT, Perplexity, Gemini, Google AI Overviews and AI Mode
Unit of successPosition and clickOne extracted answerA mention or linked citation inside generated text
Main on-page tacticRelevance, internal links, technical healthQuestion headings and ~40-word answersStatistics, quotations and named sources a model can quote
Main off-page tacticBacklinksEntity consistencyThird-party mentions, listings and reviews

What is generative engine optimization?

Generative engine optimization (GEO) is the practice of making content, business listings and third-party mentions easy for generative AI engines to retrieve, quote and cite. Its goal is a named mention or linked citation inside answers from ChatGPT, Perplexity, Gemini and Google AI Overviews.

A generative engine is an AI system that answers a prompt by running one or more web searches, reading the sources it retrieves, and writing one response from them, instead of returning a list of links. A large language model is the software that writes that response. A citation is the link or named source an engine attaches to a fact it used. Kansas City SEO Pros sells GEO and AEO services as part of local SEO, building the crawlable pages and sourced facts these engines cite.

How does generative engine optimization work?

GEO works on the retrieval step behind every AI answer. The engine runs web searches, reads the top sources, then writes one answer from them. GEO makes a page rank in those searches and gives it quotable facts, statistics and named sources.

Google names this process query fan-out: the engine runs multiple related searches across subtopics of one prompt before it writes an answer.

  1. Search
  2. Select
  3. Write

What does the generative engine optimization research paper say?

The GEO paper by Aggarwal et al., presented at KDD 2024, tested 9 content methods on 10,000 queries. Quotation addition, statistics addition and cited sources raised visibility in AI answers by up to 40%; keyword stuffing produced little or no gain.

Research card: "GEO: Generative Engine Optimization" — Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande · arXiv 2311.09735 (first version 16 November 2023) · Proceedings of the 30th ACM SIGKDD Conference (KDD 2024), pp. 5–16 · DOI 10.1145/3637528.3671900. The paper built GEO-bench, a set of 10,000 queries split 8,000 for training, 1,000 for validation and 1,000 for testing, each carrying the top 5 search results. On Perplexity.ai, the same methods produced a 22% gain from quotation addition and a 37% gain from statistics addition. Cite Sources raised the visibility of the 5th-ranked site by 115.1% and lowered the 1st-ranked site's visibility by 30.3%.

9 content methods tested on 10,000 queries: quotation addition, statistics addition and cited sources produced the largest gains, up to 40%; keyword stuffing produced little or no gain. Source: Aggarwal et al., KDD 2024, DOI 10.1145/3637528.3671900.
MethodWhat it changesReported effect
Quotation AdditionAdds quotes from credible sources41% (position-adjusted word count)
Statistics AdditionReplaces claims with numbers30–40%
Cite SourcesAdds named sources30–40%
Fluency OptimizationImproves readabilityReported gain, smaller
Easy-to-UnderstandSimplifies languageReported gain, smaller
AuthoritativeAdds persuasive toneSmall
Technical TermsAdds domain termsSmall
Unique WordsAdds rare wordsSmall
Keyword StuffingRepeats query termsLittle or no gain, below baseline in places

What is the difference between GEO, SEO and AEO?

SEO ranks a page in a list of search results. AEO formats a page so an engine extracts one direct answer from it. GEO earns a mention or citation inside an AI-written answer. All 3 rely on indexable pages, clear entities and trusted sources.

Page-level answer formatting is its own practice: read answer engine optimization for local businesses for the question-heading and 40-word-answer rules AEO adds on top of this comparison.

SEO, AEO and GEO share one foundation: pages Google and Bing can crawl, index and trust. Wikidata: SEO Q180711, AEO Q97171941, GEO Q134083964.
AttributeSEOAEOGEO
Target surfaceRanked results and the map packFeatured snippets, voice assistants, answer boxesAI answers in ChatGPT, Perplexity, Gemini, Google AI Overviews and AI Mode
Unit of successPosition and clickOne extracted answerA mention or linked citation inside generated text
Main on-page tacticRelevance, internal links, technical healthQuestion headings and ~40-word answersStatistics, quotations and named sources a model can quote
Main off-page tacticBacklinksEntity consistencyThird-party mentions, listings and reviews
MeasurementSearch Console positions and clicksSnippet and answer ownershipMonthly prompt tracking: share of answers naming you
What does not changeIndexable, crawlable pagesIndexable, crawlable pagesIndexable, crawlable pages
Wikidata itemQ180711Q97171941Q134083964

Is GEO replacing SEO?

No. Google states that AI Overviews and AI Mode have no additional requirements beyond standard SEO: a page must be indexed and eligible to show a snippet. GEO adds citation-focused tactics on top of SEO, and the SEO foundation stays mandatory.

Google states: “There are no additional requirements to appear in AI Overviews or AI Mode, nor other special optimizations necessary.” (Google, “AI features and your website”, developers.google.com/search/docs/appearance/ai-features). What stays the same: crawlable, indexable pages; accurate business listings; recent reviews; links and mentions from trusted sites; clear entity data through Organization and LocalBusiness markup.

Which is better, GEO or traditional SEO, for local businesses?

Traditional local SEO delivers more reach today: Google's 3-pack showed 35.9% of local business locations, while ChatGPT recommended 1.2% in 2026. GEO adds the AI channel that 45% of consumers used to find local businesses in 2026, so both belong in one plan.

Google's 3-pack showed 35.9% of local business locations, Gemini recommended 11%, Perplexity 7.4% and ChatGPT 1.2% (SOCi 2026 Local Visibility Index, 350,000+ locations). 45% of consumers used AI tools to find local businesses in 2026, up from 6% in 2025 (BrightLocal).
ChannelShare of locations
Google's 3-pack
35.9%
Gemini
11%
Perplexity
7.4%
ChatGPT
1.2%

From concept to local practice: what does a Kansas City business actually change first?

How does a local business do generative engine optimization?

A local business does GEO in 5 steps: allow AI crawlers in robots.txt, match its listings on Google, Bing and Apple, collect recent reviews, earn mentions on local websites, and add sourced statistics and quotes to service pages.

ChatGPT reads a narrower set of sources than Google; the guide on how ChatGPT picks local businesses covers exactly which ones.

  1. Allow AI crawlers
  2. Match your listings
  3. Collect recent reviews
  4. Earn local mentions
  5. Add quotable facts

How do you measure generative engine optimization?

GEO is measured with a fixed prompt set re-run every month in each AI engine. The 4 metrics are the share of answers naming the business, its position in each answer, the linked citations it earns and the third-party sources the engines cite.

  • Answer share
  • Answer position
  • Linked citations
  • Cited sources

Questions about GEO

Is generative engine optimization real?

Yes. GEO is a named research field since the 2023 Aggarwal et al. paper, and Wikidata lists it as item Q134083964. The paper's test on Perplexity recorded a 37% visibility gain from statistics addition and 22% from quotation addition.

How much does generative engine optimization cost?

$299 buys a one-time AI Visibility Audit at Kansas City SEO Pros, covering 20 buyer prompts in 4 AI engines. Ongoing GEO work runs inside the $999 Local SEO + AI plan, billed month-to-month.

Is llms.txt needed for GEO?

No. Google’s AI features guide names no special file or schema for AI Overviews or AI Mode, and OpenAI controls its search crawler, OAI-SearchBot, through robots.txt rules. llms.txt remains a proposed file with unproven effect on AI citations.

Want to know which AI engines name your business? The AI Visibility Audit tests 20 buyer prompts in 4 engines for $299 and shows every source cited.

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