GEO Fundamentals: The Complete Guide to Generative Engine Optimization

GEO wasn't invented for a sales deck. The term comes from a paper titled "GEO: Generative Engine Optimization," written by Pranjal Aggarwal and five co-authors from Princeton, Georgia Tech, the Allen Institute for AI and IIT Delhi. It was presented at KDD '24, the 30th ACM SIGKDD Conference.

The researchers built GEO-bench, a large benchmark of user queries across many domains. They showed that the right content changes could raise visibility in generative engine answers by up to 40%.

Two details matter more than that headline number:

1. The 40% is a ceiling, not an average. It was the best result, reached by the three strongest methods measured against an unoptimized baseline.

2. The tactics that won were about evidence, not keywords. Adding statistics, citing sources and quoting credible authorities gave the biggest gains. Keyword stuffing had little or even negative effect, and simply sounding authoritative didn't help.

Read that second point again. The oldest trick in SEO barely moved the needle. Verifiable proof did.

Look at what most exhibitors publish after a show:

• a gallery of booth photos

• a "Thanks for visiting!" post

• a product catalogue locked inside a PDF

None of it answers a buyer's question. None of it contains a fact an AI can quote.

GEO reverses that:

• Spec sheets become citable reference pages.

• The post-show recap becomes "5 questions buyers asked us at [Expo Name], answered."

• Certifications, lead times and export markets move out of PDFs and into plain web pages an AI can read.

Read our full guide on : what generative engine optimization is

A new acronym seems to arrive every quarter. Here's what each one means in plain English:

• SEO (search engine optimization): earning a high position in the ranked list of links.

• AEO (answer engine optimization): formatting content so a system can lift a direct answer, as in featured snippets, voice assistants and "People Also Ask."

• AIO (AI Overviews optimization): a narrower term for appearing in Google's AI Overviews specifically.

• GEO (generative engine optimization): earning mentions, citations and recommendations across every AI system that writes answers.

Put simply: SEO wins the list. AEO wins the snippet. GEO wins the conversation.

If you've already read up on answer engine optimization vs traditional SEO, you know half of this. GEO is the wider frame, and AEO tactics sit inside it.

This is the most common misreading, so let's settle it now.

Generative engines don't make up their sources. When ChatGPT search, Perplexity or Google's AI features answer a live question, they fetch web pages first. Pages that search engines can already crawl, index and trust have a head start.

If Google can't crawl your product pages, an AI system pulling from the web probably can't either. Technical SEO is the floor GEO stands on.

The differences show up in three places.

1. What counts as success. SEO measures where a page ranks. GEO measures whether a passage from your page, or your brand name, appears inside an answer.

2. What you optimize. SEO optimizes pages around keywords. GEO optimizes:

• entities: your brand, your products, your people

• claims: facts an AI can repeat with confidence

3. How you measure it. Rankings and clicks tell you less when the answer appears on the results page itself. GEO measurement tracks your share of voice across prompts: how often you appear, next to which competitors, and how you're described.

Here's how that looks for an exhibitor:

Most exhibitors are working on the left column only. The buyers have already moved to the right.

 Read our full guide on GEO vs SEO vs AEO vs AIO.

To get into an AI answer, you need to know how the answer gets built.

Every generative engine draws on two kinds of memory.

1. Training data. This is what the model learned before release. It's large, but it stops at a cutoff date and can't be edited after the fact. If your brand was rarely mentioned online before that date, the model may barely know you exist.

2. Live retrieval. This is what the engine fetches from the web when someone asks a question. ChatGPT search, Perplexity, Gemini and Google's AI features all do it. This is where most of your near-term GEO wins come from, because you can change the pages it reads this week.

The live process has a name: retrieval-augmented generation (RAG). Here's how it works, step by step:

1. It reads the prompt. It works out what the buyer actually wants.

2. It splits the prompt into sub-questions. This is called query fan-out. One question becomes several searches.

3. It retrieves pages for each sub-question.

4. It pulls out passages. It reads sections of pages, not whole pages.

5. It writes the answer and attaches citations to the sources it used.

Take one buyer prompt: "Which packaging machinery suppliers at [Expo Name] can deliver to Saudi Arabia within 8 weeks?"

An AI engine may split that into separate searches:

• packaging machinery suppliers exhibiting at [Expo Name]

• suppliers that export to Saudi Arabia

• typical lead times for packaging machinery

• reviews and certifications for each candidate

If your lead times sit in a PDF, you miss one. If your export markets appear only as a flag icon in your footer, you miss another. If your exhibitor listing uses a different company name from your website, the engine may not connect the two.

The engine lifts passages, so every section of your page has to make sense on its own.

That means:

• Put the answer first. Give the fact in the first sentence, then the context.

• Name the subject. Write "Our Model X200 filler runs 120 bottles per minute," not "It runs 120 per minute."

• Use tables for specs. A clean table is easier to extract than a paragraph.

A section that depends on the paragraph above it is hard to quote.

Read our full guide on :  how AI search engines generate answers.

No AI company publishes its citation rules. But research and observation point to five patterns that decide who gets quoted.

1. Retrievability: can the engine reach you?

• Pages hidden behind forms, locked in PDFs or loaded only by JavaScript are hard to fetch.

• Some sites block AI crawlers in robots.txt without realising it.

If the engine can't read the page, nothing else on this list matters.

2. Extractability: can it lift a clean answer?

Clear headings, direct first sentences and specific numbers make a passage easy to quote. Vague brochure copy like "industry-leading solutions for tomorrow" gives the engine nothing to repeat.

3. Evidence: does the content prove anything?

This is where the Princeton research gets practical. Across the nine methods tested, the biggest visibility gains came from adding verifiable statistics, credible quotations and source citations. Keyword stuffing had negligible or negative effects.

Here's the encouraging part for smaller exhibitors. Sources that ranked low in normal search gained disproportionately from these changes. You don't need to be the biggest brand in the hall to get cited.

4. Corroboration: do other sites agree?

AI engines lean on sources the wider web already trusts. Pew Research looked at Google's AI summaries and found Wikipedia, YouTube and Reddit were the most cited sites, making up 15% of links. Government (.gov) sites made up 6% of links in AI summaries, compared with 2% in standard results.

The lesson: what others say about you counts as much as what you say about yourself.

5. Entity clarity: does the engine know who you are?

An entity is a clearly defined thing the engine can recognise: your company, your product line, your founder. The clearer and more consistent your brand appears across the web, the more confidently the AI can name you.

This is the part most exhibitors skip.

Every major expo publishes an online exhibitor directory. That listing is a third-party page on a trusted domain, stating that your company exists, what you make and where you're based.

Treat it like a citation source:

• Use the same company name as on your website and LinkedIn.

• Write a factual description, not a slogan.

• List your product categories and export markets precisely.

• Link to a specific page on your site, not just the homepage.

Then do the same on industry associations, trade directories and B2B marketplaces. Each consistent mention makes your brand easier for the engine to identify.

 Read our full guide on: how LLMs choose which sources to cite.

"Answer Economy" is G2's name for the shift in how B2B buyers pick vendors.

G2's Tim Sanders describes it as the third time the market has been squeezed down:

1. The Yellow Pages squeezed suppliers into one printed book.

2. Google squeezed them onto the first page of results.

3. AI chatbots now squeeze them into a single answer.

The numbers behind that claim come from G2's April 2026 report:

• 51% of B2B software buyers now start research with an AI chatbot more often than with Google. G2's 2025 figure was 29%, so the group has nearly doubled in about a year.

• 71% rely on AI chatbots somewhere in software research, up from roughly 60% seven months earlier.

• 8 in 10 said AI chatbots sped up their purchasing decision.

• One in three bought from a vendor they had never heard of before.

Two caveats before you apply this to your business:

• G2 runs a review platform. It has a stake in this story.

• The survey covers software buyers. Industrial and expo buyers haven't been measured the same way yet.
  
  Even so, the direction is hard to argue with.

For most exhibitors, the trade show used to be where discovery happened. Buyers walked the aisles, collected brochures and built their shortlist on the floor.

Now AI appears on both sides of the show.

Before the expo, the buyer asks: "Which [product] suppliers should I meet at [Expo Name]?" If you're not named, you're not on her walking route.

After the expo, she asks: "Compare these four suppliers I met on price range, lead time and certifications." If the AI can't find your facts, it fills the gaps with whatever it can find, or it leaves you out.

Your badge scan doesn't protect you in that comparison. The conversation at the booth only counts if the AI's version of your company matches it.

This is the uncomfortable part.

When a buyer builds a shortlist inside ChatGPT, nothing shows up in your analytics:

• no visit

• no form fill

• no UTM tag

You only see the outcome: a quote request that never arrives, or a deal that goes to a competitor you thought was smaller than you.

GEO makes that invisible stage visible and gives you something to act on.

Read our full guide on :  the Answer Economy.

In 2024, Gartner predicted that traditional search engine volume would fall 25% by 2026 as buyers moved to AI chatbots and virtual agents.

Treat that as a forecast, not a measurement. The better question is what happens to clicks when an AI answer appears. Here there is hard data.

Pew Research Center tracked 68,879 real Google searches made by 900 U.S. adults in March 2025. Here's what it found:

• Fewer clicks on results. Users clicked a traditional result in 8% of searches that showed an AI summary, compared with 15% when no summary appeared.

• Almost no clicks on the summary's own links. People clicked a link inside the AI summary in about 1% of visits.

• More sessions ending on Google. Browsing ended on 26% of pages with an AI summary, versus 16% of pages without one.

One caution: Pew shows these things happen together. It doesn't prove the summaries caused the drop. For planning, though, the message is clear enough.

The Pew data also shows which searches are most exposed:

• Short searches rarely trigger a summary. Only 8% of one- or two-word searches did.

• Long searches usually do. 53% of searches with ten or more words did.

• Questions trigger them most. Searches starting with words like "who," "what" or "why" did 60% of the time.

Now think about how B2B buyers search. They don't type "valves." They type full, specific questions about specs, compliance and delivery.

Those are exactly the searches that now end in an AI answer.

Two things follow.

1. Stop judging content only by traffic. A spec page may get fewer visits and still shape more deals, because the AI quotes it to buyers who never click.

2. Track visibility as well as visits. Add three questions to your monthly reporting:

• Are we named when buyers ask category questions?

• Are we cited as a source?

• How is our brand described next to competitors?

 Read our full guide on :  zero-click search and AI Overviews.

GEO moved from theory to practice fast.

• Late 2022 to 2023: ChatGPT, Perplexity and Bing's chat answers reach mainstream users. Google begins testing its Search Generative Experience.

• November 2023: the GEO paper appears as a preprint, giving the practice a name and a way to measure it.

• 2024: the paper is presented at KDD. Google rolls out AI Overviews in the U.S., and ChatGPT launches built-in search.

• 2025 onward: Google launches AI Mode, and buying research moves steadily into chat interfaces.

In under three years, the discipline went from academic paper to a line item in marketing budgets.

Three shifts are worth planning for. These are directional, not proven:

• AI agents that act, not just answer. Buyers will ask agents to shortlist suppliers, request quotes and book meetings. An agent can only contact a vendor it can find and understand.

• Multimodal search. Buyers photograph a component at a booth and ask the AI who else makes it. Product images with clear, structured descriptions will matter more.

• Answers that remember. AI assistants increasingly keep context across conversations. The first impression your brand makes in an answer may follow the buyer through the whole purchase.

The basics hold through all three: be findable, be quotable, be corroborated.

Read our full guide on the history and evolution of GEO.

1. Crawl access. Your key pages are reachable, and robots.txt isn't blocking the AI crawlers you want.

2. No locked facts. Specs, certifications, lead times and export markets are on HTML pages, not only in PDFs.

3. Answer-first sections. Each H2 opens with a direct, standalone answer.

4. Evidence on the page. Your claims carry numbers, sources or named experts.

5. One consistent identity. Your company name and description match across your site, LinkedIn, trade directories and every exhibitor listing.

6. Third-party proof. Associations, publications and review platforms mention you.

7. Post-show content that answers questions. Your recap posts answer what buyers actually asked at the booth.

8. A prompt test. Every month, ask ChatGPT, Gemini, Perplexity and Google the questions your buyers ask, and record who gets named.

New to the terms? Keep our GEO glossary open while you work

Your expo budget buys three days of attention.

What the buyer's AI says about you decides what happens over the next three months.

If you want to know where your brand stands right now, start there:

• which prompts name you

• which ones name your competitors instead

• what's missing from your site that keeps the AI from citing you

That's what Kiyado's generative engine optimization service is built for. We audit your AI visibility across the major platforms, fix the gaps that keep you out of answers, and track your share of voice month by month.

If you're comparing generative engine optimization service providers, test us the same way your buyers will. Ask an AI about us.

 Talk to Kiyado about GEO