Generative Engine Optimization

What is generative engine optimization?

Generative engine optimization (GEO) is the work of getting your business mentioned, recommended and cited when people ask AI tools a question. The tools in question are ChatGPT, Google’s AI Overviews and AI Mode, Gemini, Perplexity, Microsoft Copilot and Claude. When someone asks one of them “which accounting software suits a small export business in India?”, GEO is about whether your name shows up in the answer and whether there’s a link to your site beside it.

With classic SEO the question is where your page sits in a list of ten links. GEO cares about something else: when a machine writes the answer itself, are you trusted enough to be used? Plenty overlaps. Still, once you watch how differently the two kinds of result behave, you start planning them separately.

SEO and GEO side by side

People sometimes talk about GEO as if it replaces SEO. It doesn’t. Most AI search tools retrieve from search indexes, so pages that rank well are far more likely to be read in the first place. But what happens after retrieval follows different rules, and a site can rank on page one and still be ignored by the AI answer above it.

Our full comparison lives at GEO vs SEO, and there’s a shorter version in the answer what is the difference between SEO and GEO. You may also hear “AEO”, or answer engine optimisation. The terms overlap heavily; we use AEO for short, direct answers like featured snippets and voice results, and GEO for the broader job of being used by AI systems. Our answer engine optimisation page covers the first.

Eight levers that make you citable

Strip away the jargon and GEO comes down to a handful of things you can actually change. Some are technical, some are about writing, and a couple happen entirely off your website. Here they are in the order we usually tackle them.

1. Let the right crawlers in

AI companies run their own crawlers. OpenAI has GPTBot (training) and OAI-SearchBot (search features). Anthropic uses ClaudeBot. Perplexity runs PerplexityBot. Google uses its normal Googlebot for AI Overviews, plus a separate Google-Extended token that controls whether your content trains Gemini models. A surprising number of sites block some of these by accident, through a security plugin, a CDN bot setting or a copied robots.txt.

Keeping training crawlers out is a reasonable decision for some publishers. Keeping search crawlers out, on the other hand, usually means that tool simply can’t cite you. Decide bot by bot, write the decision down, and then look at your server logs a week later to see whether the bots are doing what you expected. We cover the trade-offs in should we block AI crawlers, and the AI crawler entry lists the user agents.

2. Make the page readable without JavaScript

Many AI crawlers fetch raw HTML and don’t run scripts. If your product details, prices or article text only appear after JavaScript runs, those crawlers see a near-empty page. Server-side rendering or static HTML fixes this. Our technical SEO page explains how to check in two minutes: view the page source and search for a sentence from your main content.

3. Answer first, then explain

Open every section with two or three sentences that fully answer its heading, and only then add the background, examples and exceptions. Reporters call it the inverted pyramid. An AI tool scanning your page finds a neat, quotable passage exactly where it looks first, and a busy reader gets the answer before deciding whether to read on.

Copy your customers’ wording in headings: “How much does GST registration cost for a freelancer?” Anyone skimming, human or bot, knows instantly what follows. People in the trade call this chunking.

4. Give facts worth quoting

The original GEO research found that statistics, quotations and citations to credible sources made content more likely to be used. That fits common sense. An AI tool answering “how long does a home loan approval take?” will prefer a page that says “most banks we’ve worked with approve in 7 to 15 working days once documents are complete” over one that says “approval times can vary.”

Specifics win: numbers, dates, prices, named methods, clear comparisons, short definitions. Original data is the strongest of all, because nobody else has it. A small survey of your own customers or an analysis of your own sales data can become the source everyone else, including AI tools, ends up citing.

5. Be clear about who you are

AI systems organise the world as entities, meaning people, companies, products and places, plus the links between them. Spell your company name three different ways, let your founder’s LinkedIn bio contradict the About page, describe your services differently on every directory, and the model ends up with a blurry picture. Blurry brands rarely make the shortlist.

The fixes are unglamorous. One consistent name and description everywhere. Organisation schema with sameAs links to your real profiles. Proper author pages with real credentials. A clear About page that states what you do, where and since when. Our entity and semantic SEO service and the entity grounding sub-service go deep on this.

6. Get talked about elsewhere

AI tools seldom take a company’s word for itself when recommending brands. They lean on outside voices instead: review platforms, comparison articles, trade magazines, Reddit and Quora threads, YouTube reviews and news stories. Suppose three unrelated sources call you “the go-to option for small export businesses.” There is a decent chance that phrase turns up in an answer.

This is where GEO overlaps with PR. Appearing in a well-read “best tools for X” roundup, getting a quote in a trade publication or being discussed positively in a community thread can do more for AI visibility than another blog post on your own site. Our digital PR team and the citation building sub-service focus here. One warning: planting fake reviews or sockpuppet forum posts is both against platform rules and easy to spot. Earned mentions only.

7. Keep it fresh and dated

For prices, rules, software versions and statistics, AI search tools lean towards recent sources. “GST rates for 2024” loses to a page refreshed last month. Put a visible “last updated” date on such pages, change the content when the facts change, and redirect or retire the ones that can’t be saved. Our content decay entry shows how to spot pages going stale.

8. Make your facts agree everywhere

Say your website claims you were founded in 2015, Google shows 2016 and some directory says 2012. The model has to guess, and it may guess wrong. Old prices, previous addresses and retired product names cause the same confusion, and AI tools then repeat those errors to your customers. Ask a few AI tools to describe your company and you will often spot a mistake you can trace to one stale listing. Correct that listing and the answers tend to follow, given time.

This is also where AI “hallucinations” about brands often start. Models fill gaps. The fewer gaps and contradictions you leave, the less there is to fill with guesses.

Measuring AI visibility honestly

Measurement is where GEO attracts the most snake oil. Some dashboards boil everything down to one “AI rank.” That number is fiction. Ask the same thing twice and the answer changes; change the city, the user or the model version and it changes again. The honest method is dull: lots of questions, lots of runs, and a trend line.

Build a prompt set

Start with 30 to 100 questions your real customers ask, in their words. Mix the types: “best X for Y”, comparisons (“X vs Y”), problem questions (“why does my…”), price questions and brand questions (“is [your company] good?”). Sales calls, support tickets and Search Console queries are gold mines for these.

Run them regularly across tools

Run the set across the AI tools your customers actually use, several times each, on a regular schedule. Record whether you’re mentioned, whether you’re cited, where in the answer you appear, which competitors appear and what’s said about you. Our prompt share tracking service automates this.

Track AI referrals in analytics

Inside GA4, set up a custom channel group (or a quick exploration) that catches sessions referred by chatgpt.com, perplexity.ai, copilot.microsoft.com, gemini.google.com and the like. Some AI visits carry no referrer at all and land in “direct”, so read the figure as a floor. Google’s AI Overviews are trickier still, because their clicks blend into ordinary Google organic. Our analytics and measurement team can wire this up.

How we run a GEO programme

A GEO programme starts with evidence: what AI tools say about you today, and why. Here’s how we work through it.

1. Week 1

   Prompt set and baseline

   Sitting with your sales or support lead, we list the questions customers really ask. Then we run them through ChatGPT, Perplexity, Gemini, Google and whatever else your buyers use, and show you every answer: where you appear, where a rival appears instead, and what gets said about you.

2. Week 1 to 2

   Technical access check

   Next we open robots.txt, the CDN and firewall settings, and a slice of server logs, and we check how pages render without JavaScript. More than once a “mystery” turns out to be a Cloudflare toggle blocking every AI bot since 2023.

3. Week 2 to 3

   Source analysis

   For every question we note which sites the tools cite. Pretty quickly you see the handful of publications, review platforms and forums that shape answers in your market, and the ones where you’re nowhere.

4. Week 3 to 4

   Content and entity fixes

   Key pages get rebuilt to answer up front, with real numbers and evidence added. Mismatched company details get fixed and schema ties it together. Our answer-ready content sub-service handles this part.

5. Month 2 onward

   Off-site authority

   Then the slow part. Reviews from real customers, a spot in the comparison articles that matter, quotes in trade press, useful replies in community threads, very often hung on a piece of original data only you have.

6. Monthly

   Tracking and governance

   Prompt share, citations, accuracy and AI referral traffic are tracked monthly against the baseline. We also help set rules for how your team uses AI in content production, through our AI content governance work.

Want to start smaller? An AI visibility audit covers the first three steps and gives you a prioritised list to act on yourself.

A free 35-point GEO checklist

Use this to check where you stand. Most points can be tested with a browser, your robots.txt file and a free AI tool account.

Access and rendering

• robots.txt reflects a deliberate choice about each AI crawler.
• CDN or firewall isn’t silently blocking AI bots.
• Server logs show AI search crawlers visiting key pages.
• Main content appears in the raw page source.
• Key pages aren’t behind logins or forms.
• Site is verified in Google Search Console and Bing Webmaster Tools.
• XML sitemap is current and submitted.

Content structure

• Each important page opens with a direct answer.
• Headings match the questions customers actually ask.
• Each section makes sense read on its own.
• Pages include specific numbers, prices, dates or ranges.
• Claims link to credible sources where relevant.
• Comparison and “vs” pages are honest and detailed.
• Visible “last updated” dates on time-sensitive pages.
• Out-of-date pages are updated, merged or redirected.
• Tables and lists are real HTML, not images.

Entity and trust

• One consistent company name and description everywhere.
• Organisation schema with logo and sameAs links.
• Clear About page: what you do, where, since when, who runs it.
• Author pages with real names, roles and credentials.
• Contact details easy to find.
• Product or service schema with accurate details.
• Facts match across your site, profiles and directories.

Off-site reputation

• Reviews on the platforms your industry uses.
• Mentions in independent comparison or “best of” articles.
• Presence in relevant community discussions.
• Coverage in trade or local media.
• At least one piece of original data others can cite.

Measurement

• A written prompt set of real customer questions.
• Regular runs across the main AI tools.
• Competitor appearances tracked alongside yours.
• AI referral traffic segmented in analytics.
• Conversions from AI referrals tracked.
• A process to correct wrong facts when found.
• Quarterly review of what’s changed.

What GEO costs and how long it takes

Three things set the price. How many topics and countries you want covered, how many existing pages need reworking, and how much happens off your site (review drives, PR pitches, a piece of original research). A one-off audit with a ranked action list has a fixed fee. Ongoing work is monthly, since the tracking and the outreach don’t really have an end date. You can see how we scope on our pricing page, and retainer vs project helps if you’re unsure which suits you.

Typical timelines

Tools that search the live web, like Perplexity, can reflect page changes within days or weeks. Answers that lean on a model’s training data change more slowly, because they depend on when the model is next updated. Off-site reputation is slowest of all, and also the hardest for competitors to copy.

What a monthly GEO report should show you

Whoever runs your GEO, you should be able to check their homework every month. Ask for the list of questions used, which tools were tested and when, your prompt share and citation share next to named competitors, a few saved answers you can read yourself, any wrong facts found about your business and what was done, AI referral visits and enquiries from analytics, and a short note of what changed on and off your site. Shown a score with no answers behind it? Ask for the answers. A decent partner hands them over without fuss.

Who needs GEO most

Who benefits most? Businesses whose buyers do homework. A founder comparing payroll tools, a parent shortlisting coaching institutes in Kota, a family pricing a 1.5-tonne inverter AC on a Sunday afternoon. Those people type long questions into AI tools and actually read the answers. Software, lending, insurance, hospitals, education, B2B services and travel all follow this pattern. The chaat stall living on passing footfall gets far more from local SEO or ads.

GEO also works hand in hand with content and editorial, AI platform optimisation and technical SEO. On its own, it’s a thin layer. Combined with those, it’s a lasting advantage.

Run your own AI visibility check in 30 minutes

You don’t need special software to get a first read on where you stand. A notebook, a free account on two or three chatbots and half an hour will tell you a lot. Here’s the routine we’d suggest to any business owner.

1. 5 minutes

   Write ten real questions

   Grab the last month of sales enquiries. Pick two “best X for Y” questions, two “X or Y?” comparisons, two about price, two describing a problem and two that mention your company by name. Keep the customer’s own clumsy wording; nobody types “comprehensive accounting solutions.”

2. 15 minutes

   Ask three tools

   Open ChatGPT, Perplexity and Google in an incognito window, so last week’s searches don’t colour anything. Ask all ten in each. On Google, read the AI Overview or switch to AI Mode. Copy every reply into one Google Doc.

3. 5 minutes

   Mark what you see

   Make four columns: mentioned, linked, which rivals showed up, anything wrong about you. Ticks and crosses are enough.

4. 5 minutes

   Look at the sources

   Click the sources under each answer. You’ll see the same five or six websites again and again, maybe a review platform, a comparison blog, one busy forum. Those sites are steering the answers in your market, so that’s where your outside effort begins.

Repeat it next month, and again in three months. It’s rough, sure. Yet even a rough check shows which way things are moving, and the first run nearly always uncovers some wrong fact about the business that takes an afternoon to fix.

Content formats ChatGPT and its rivals cite most

Spend a week reading the sources these assistants cite and a pattern jumps out. They love pages that hand over a short, correct answer with no fuss, because that is exactly what they need to build a reply and show a link. Six formats keep turning up.

What hardly ever turns up? The 5,000-word “ultimate guide” that repeats the first ten Google results, and the opinion piece with no facts in it. Fine for brand building, perhaps. Rarely cited.

Common mistakes we see on GEO projects

We keep running into the same four mistakes. Teams start writing for robots, so pages fill up with stiff question headings no human enjoys. Somebody checks one ChatGPT answer every morning and panics at normal day-to-day wobble. Off-site reputation gets ignored in the hope that on-page edits alone will win recommendations. And the worst one: pumping out hundreds of AI-written posts to be “found” more, when none of them says anything a tool would bother quoting.

All four have one cure. Build the most useful, accurate, specific page on each topic that matters to you, keep it readable for humans and machines, and earn honest mentions from other people. Our editorial policy sets out how we apply that to our own pages.

GEO in multilingual markets

A good share of questions never come in English at all. “Jaipur mein sabse accha physiotherapist kaun hai” works perfectly well in ChatGPT, and plenty of people speak to assistants in Tamil or Marathi. Behind the scenes the bot often reads English pages and replies in Hindi, which means your English page may be the real source of a Hindi answer.

Even so, a Hindi or Gujarati page has an edge when the question comes in that language, and you’ll face maybe a tenth of the competition you’d meet in English. Four or five well-written pages covering your commonest questions is usually plenty. Skip Google Translate copies; they garble exactly the words people search with.

Exporters hit a version of this too. Somebody in Dubai asks about your service in dirhams and UAE rules; somebody in Manchester asks in pounds with UK regulations in mind. Give each market its own properly written page, link them with hreflang, and the bots get the right local facts. The international SEO entry explains the setup, and our locations pages list where we work.

A word on ethics

GEO is young, so some of what’s sold under the label is plain manipulation: hidden text meant only for AI crawlers, fake reviews, paid listicle slots posing as independent picks, prompt-injection snippets buried in page code. Apart from being dishonest, these stop working fast, and they can get a site penalised or a brand embarrassed in public. We won’t touch them. The route that lasts is boring: be good at what you do, explain it clearly, and let other people vouch for you.

Common questions about generative engine optimization

What is generative engine optimization in simple words?

Picture a customer asking ChatGPT, “Which interior designer in Jaipur does small 2BHK flats on a tight budget?” GEO is the work that decides whether your studio’s name comes up in that reply, and whether your website is linked underneath it. Same idea for Gemini, Perplexity, Copilot and Google’s AI Overviews.

Is GEO different from SEO?

Partly. SEO tries to get a page into the top ten links; GEO tries to get your business used inside the paragraph an AI writes. Since many the bots run a web search before answering, decent SEO usually comes first. On top of that GEO adds things SEO cares less about, like passages that stand alone, numbers worth quoting, one consistent company profile everywhere, and what other sites say about you.

How long does GEO take to show results?

Perplexity searches the live web, so a rewritten page can start appearing there within a few weeks. ChatGPT and Gemini answers shift more slowly. Across all the tools, expect three to nine months for a clear trend, mostly because press mentions, reviews and model updates arrive on their own schedule.

Can you guarantee my brand will appear in ChatGPT?

No. OpenAI decides what ChatGPT says, not any agency, and the same question can produce a different list tomorrow. Anyone promising a fixed spot is guessing or bluffing. We can promise a clear method, tracking you can check yourself, and an honest report of whether your share of answers is going up.

Does structured data help with AI search?

It helps machines read your details correctly: company name, address, prices, product specs, authors. That matters, because wrong facts get repeated. It won’t force a citation on its own, though. Treat schema as proofreading for robots.

Should we block AI crawlers to protect our content?

A news publisher whose articles are the product may reasonably block training bots. A dental clinic, a SaaS tool or a furniture store usually wants AI search bots in, since a citation can bring a customer. You don’t have to choose all or nothing; robots.txt lets you allow OAI-SearchBot, for example, while blocking GPTBot.

Do AI tools prefer long content?

Length alone does nothing. A long page does well only when it’s made of clear sections that each answer a real question, because then it matches more of the smaller searches an AI tool runs behind the scenes. Five hundred useful words beat three thousand padded ones.

How do I know if AI tools are sending me traffic?

In Google Analytics 4, look at referrals from chatgpt.com, perplexity.ai, copilot.microsoft.com and gemini.google.com. Treat that as the minimum, because some AI visits arrive with no referrer and sit under “direct”. Clicks from Google’s own AI Overviews are mixed into normal Google organic traffic, so you can’t separate those cleanly.

Will AI-generated content help my GEO?

Only if it says something new. If your article repeats what ten other sites already say, an AI tool has no reason to quote you over them. Drafting with AI help is fine. Mass-publishing generic AI articles tends to earn zero citations and can drag down how search engines rate the whole site.

What is prompt share?

Run, say, 50 customer questions through three AI tools, five times each. If your brand shows up in 150 of those 750 answers, your prompt share is 20%. It’s the nearest thing GEO has to a ranking, and it only means much when you compare it month to month and against named competitors.

Is GEO only for big brands?

Not at all. Ask a generic question like “best laptop” and big names win. Ask “best laptop repair shop in Mansarovar that fixes MacBook hinges” and the small shop with a detailed page has the advantage. Most real customer questions look like the second one.

Where should a small business start?

Spend half an hour asking ChatGPT, Perplexity and Google five questions your customers ask, and write down what each says about you and your rivals. Check your robots.txt isn’t blocking AI search bots. Fix any wrong facts you found. Then rewrite your three most important pages so each one opens with a plain answer. That alone covers a big share of the early gains.