What is GEO? Optimising for AI answers

GEO stands for Generative Engine Optimization, which in practice means optimising for AI answers: every practical improvement to your site's content and structure that makes an AI engine choose your page as a trusted source when it answers a question in your field. Because the reader asks the engine for a ready-made answer rather than a list of pages to search through, the goal is not a position on a traditional results page, but a clear sentence inside the answer with a direct link to your site that a ready buyer clicks.

The term GEO comes from a research paper titled *Generative Engine Optimization*, published on arXiv in November 2023 and presented at the KDD conference in June 2024, in which researchers studied how generative engines select web sources. In their experiments, adding clear quotations, statistics, figures and cited sources to a page raised its presence in generative engine answers by roughly 30% to 40%, whereas traditional keyword stuffing added little or nothing. The reason is that an engine looks for specific facts it can build a sentence on, which means your service pages need documented numbers and facts rather than repeated phrases, keeping in mind that these percentages are academic research results showing how engines behave rather than a fixed promise for your site.

Across English and Arabic sources, this field goes by several names, including answer engine optimisation (AEO), generative engine optimisation, AI search optimisation, AI visibility optimisation, and "AI SEO". All of them describe the same goal from slightly different angles. At Tasadr (تصدَّر), we call the work optimising for AI answers, and we call the outcome your site earns tasaddur (leading the answer), because your practical objective is for your site to be the primary source the engine builds its answer on and sends the reader to.

The work rests on three connected pillars, and none of them works without the others

• Clear content Paragraphs written in your customer's own words that answer their real questions in the first sentence, backed by quotable numbers and facts, because the engine needs an explicit statement it can carry into its answer.
• Sound structure Fast, accessible pages where the engine can read the text, understand the topic, and verify who wrote the page and when its data was last updated, because an engine will not cite a page whose text it cannot reach or whose publisher it cannot identify.
• Ongoing analysis Consistent tracking that separates a one-off fluke from a stable result, showing whether your site was actually cited in your market's answers and which competing site was cited instead, so you know which pages to update.

Your business needs GEO now because a growing part of your customer's buying journey is moving from browsing lists of links to reading AI answers directly. A buyer who used to type a phrase into a search engine and open five tabs to compare prices and features on their own now asks one detailed question, reads a single paragraph that summarises the market, and clicks only one of the few links attached to that answer to complete their purchase. The direct consequence for your business is that the site named and cited in that paragraph wins the buyer's trust and visit, while a site left out of it loses a ready customer before even entering the comparison.

In Saudi Arabia, the UAE and Egypt, this shift is no longer limited to people who open chat apps; it now sits at the top of Google Search itself. Google displays Google AI Overviews above the results for many buying, commercial and informational queries, including questions such as "What is GEO", "optimising for AI answers", and comparison or recommendation queries across sectors. Because that summary occupies the top of the page and answers the question directly, many buyers read it and never scroll down to the ten traditional blue links, creating what is known as zero-click search, where the searcher gets the full answer on the results page and never visits sites that were not cited as sources. Being absent from those cited sources therefore costs you visits even when your page ranks on the first page of Google.

This loss affects your decisions because standard analytics dashboards never alert you to it. When you open Google Analytics or Google Search Console, you see the visits that reached your site and traditional search impressions, but a visit decided inside a ChatGPT or Gemini conversation, or settled by an AI summary in favour of a competing site, never appears in your reports because a visit that did not happen leaves no trace in your traffic log. The only practical way to uncover that gap is to ask the AI engines the exact questions your customers ask and read the answers and sources as a buyer in your country sees them, following the step-by-step method in how to know if your site leads ChatGPT and Gemini answers.

At the same time, the eight engines do not reach your customers in the Arab world in the same way. Some buyers prefer opening ChatGPT or Perplexity to ask for buying advice and a shortlist of three trusted names, while others search on Google as usual and read the AI summary placed in front of them without having asked for it. Because buyers split across these channels, watching only one leaves the remaining channels to your competitors, so you need to see where your site stands across all of them together, and the AI engines we analyse explains the practical differences between the eight engines and where each stands in Arab markets.

An AI engine builds its answer in four sequential steps that begin the moment a question is sent: it understands and expands the intent behind the question, searches the web to retrieve relevant pages, reads the paragraphs to select those that answer directly, and finally writes its response and links the sources it relied on. Because each step depends on the one before it, a page that stalls in any of the first three steps never reaches the fourth and never earns a citation, meaning the inclusion of its link as a trusted source inside the answer. You therefore need to prepare your page to pass all four stages.

Modern engines carry out this process using a technical method called retrieval-augmented generation (RAG), which in plain terms means the engine does not rely solely on old training memory, but goes out to the live web at the moment of the question to retrieve current pages, reads them, and builds a source-backed answer from what it finds. Because it reads live pages, updating your text and figures today directly affects what the engine sees when it searches, across the following four steps

1. Expanding the question and understanding intent When a customer types a question, the engine rarely runs that exact sentence as a single search; instead, it breaks the customer's question into several sub-queries covering prices, terms, alternatives and location. Google calls this process query fan-out, and it is the reason a page that covers the main question and its related sub-questions in clear language has a much higher chance of being retrieved than a page that repeats a single phrase. Your page should therefore answer both the primary question and the practical follow-up questions tied to it.
2. Fetching pages and retrieving sources The engine pulls live web results for each sub-query, usually taking only the top indexed pages that are easy to access. If your page is not indexed, loads too slowly, or blocks AI crawlers, it drops out of contention at this stage before the engine reads a single word of your content, making clean indexing and page speed your first requirement.
3. Reading and selecting passages The engine scans the text of the retrieved pages looking for paragraphs that answer the question directly, skipping long introductory filler and vague claims that offer no concrete fact. Because the engine looks for a self-contained passage with a clear fact, number or definition it can build on, burying the answer beneath generalities lowers your page's chances, and the fix is to place the direct answer in the opening sentence of the paragraph.
4. Writing the answer and citing sources The engine drafts the final response in its own words to combine the information into a coherent paragraph, then attaches links to the few sources it actually used to construct its sentences. Your site earns the citation at this point when its passage is the clearest and most specific among the pages the engine read.

Traditional search engine optimisation (SEO) works to raise your page's rank among ten blue links on a search results page, whereas GEO works to get your site cited as a source inside the AI-generated answer that often saves the reader from opening those ten links at all. Because the outcome of SEO is a rank in a list and the outcome of GEO is a direct citation that places your name and link inside the paragraph the buyer reads first, the way you write content and analyse performance differs between the two even though they share the same technical foundation.

The table below sets out the core differences that matter to a business owner

GEO does not replace SEO, and SEO has not ended with the rise of AI; instead, a sound technical SEO foundation has become a strict prerequisite for your site to succeed in AI answers. The reason is that generative engines do not invent their sources out of thin air, but rely in their second step (fetching pages) on search indexes and on the ability of web crawlers to reach and read your pages quickly. You cannot neglect technical SEO and rely on content phrasing alone.

For Google AI Overviews and Google AI Mode specifically, Google's official documentation states explicitly that for a site to be eligible as a source in AI answers, it must first be indexed in Google Search and eligible to appear with a snippet in standard search results. If you neglect basic technical SEO so that your pages drop out of the index or your site files block crawlers from reading the text, the AI engine will never see your pages regardless of how well your paragraphs are written, which is why checking indexing and crawler access is always your first step.

What has changed with AI, however, is that traditional SEO on its own is no longer enough to protect your sales and market share. Your page may sit third or fourth in standard search results, yet when the engine displays a full summary at the top of the page or a buyer asks ChatGPT directly, the engine selects the pages that give a direct first-sentence answer and specific quotable numbers, skipping a higher-ranking page that padded its introduction and hid the facts. The sound decision for your business is therefore not choosing between SEO and GEO, but combining a clean technical SEO foundation with content structured for citation through GEO so your site is present in both search results and AI answers.

Three fundamental things change when your customer asks in Arabic rather than English: far fewer Arabic pages answer the question accurately, the engine may translate its answer from an English source when it finds no clear Arabic reference, and both the wording of the question and the sources cited shift from one Arab country to another. Taken together, these three factors mean that any score or report produced by a global tool testing in English describes a market other than yours, so you cannot base marketing decisions in the Arab region on data tested in another language.

The shortage of accurate Arabic sources is in fact a major practical opportunity for your business today because competition for the direct answer remains low. A buying question that hundreds of established English pages have competed to answer for years may be answered in Arabic in your market by only two general pages, or by no dedicated page at all. As a result, when you publish an Arabic page that answers that question directly with local numbers and details, your chance of being chosen as the engine's primary source rises sharply, which matches what we saw in our October 2026 analysis where engines rarely cited Arabic pages written specifically for the Gulf market and fell back on general sites, official documentation and news pages for lack of direct specialist content.

In Saudi Arabia, the UAE and Egypt, many businesses make a common mistake: they build their websites and write detailed content in English first, then leave the Arabic version much shorter, stripped of prices and specifics, or awkwardly translated word for word. When a buyer in Riyadh, Dubai or Cairo asks their question in Arabic, the engine looks for a clear Arabic page that answers it; if your Arabic version is incomplete or vague, the engine cites a smaller competing site that wrote a complete, natural Arabic page from the start. Completing your Arabic pages with local figures and clear details is therefore a direct way to win citations ahead of larger competitors.

Beyond that, the exact words an Arabic speaker uses change the search queries the engine runs and change the resulting sources, not merely the phrasing. A customer asking in Riyadh writes «وش أفضل محل ورد؟», someone in Dubai writes «شو أحسن محل ورد؟», and someone in Kuwait writes «شنو أحسن محل ورد؟», and the engine searches the web starting from those words and the country from which the question was asked. Even when the question is asked in identical standard Arabic, the sources the engine trusts shift from one Arab country to the next: in our October 2026 analysis of Arabic buying questions, the share of citations going to government sites and country-domain sites differed between Saudi Arabia, the UAE, Kuwait and Egypt.

For that reason, each site in Tasadr is set to its specific target country before analysis begins, so its questions are written in the words your customers actually use in your market rather than a translated or generic version, and the engines are queried from that country. That is where sound content planning begins: choosing the right questions. A question phrased in the language of your internal meetings gives you a misleading impression about a query no real buyer asks, whereas a question written in your customer's words reveals the reality of your market and what needs fixing, and how to choose the questions you analyse sets out a practical way to gather ten buying questions worth tracking.

An AI engine chooses your site as a source for its answer when it finds a direct answer in your opening sentence, documented facts and numbers, and a clear definition of who your business is and what it offers, all on a page that is technically open to crawlers. The reason is that the engine is not looking for stylistic flair or repetition, but for the clearest passage that spares it from guessing and allows it to quote accurately, which means the clarity of the information on your page determines whether you are selected or passed over.

Keep in mind that adding a general FAQ page in a corner of your website helps, but is never enough on its own if it only holds ten surface-level questions written to fill space, because the engine looks for service and product details on their primary pages. What makes a real difference for your business is weaving these direct, number-backed answers into the body of your core service, product and guide pages, and you will find the step-by-step execution in the steps to lead AI answers in Arabic.

Both the experiments in the 2023 *Generative Engine Optimization* paper presented at KDD 2024 and what we observe in our analysis of Arabic questions show that the factors raising your page's chance of being cited come down to the following practical points

• A direct answer at the start of the paragraph Give every question your customer asks its own paragraph that opens with a plain one- or two-sentence answer, followed by the explanation and detail, because the engine picks up the passage that settles the question immediately and skips pages that delay the fact behind general introductions.
• Numbers, statistics, dates and cited sources A number gets quoted while a vague adjective gets ignored, because the engine builds its answer on concrete data. Instead of broad claims, state the price, the delivery or completion timeframe, the cities you serve, and the date the information was last updated, and include quotations and documented sources where relevant; adding quotations, statistics and sources raised page presence in the research experiments by roughly 30% to 40%.
• Clear entity and topic definition The engine needs to understand unambiguously who you are and what the page covers so it can recommend you for the right question. Define your business and each new topic in the first sentence of its section using a direct "X is..." statement, and name your speciality and the cities you operate in clearly so the language model connects your brand name to the right field.
• Writing in your customer's words rather than meeting language Because the engine starts from the searcher's wording, matching your headings to real buyer questions raises the chance that your page is retrieved. Collect real questions from sales and customer support conversations and from Google Search Console if connected to your site, and write your headings and paragraphs in the words the buyer actually uses, using the methods explained in which tools reveal your customers' questions.
• Keeping the page open to AI crawlers AI crawlers are the automated programs sent by AI and search engines to read and index web page text, and if they cannot read your page, your site is excluded before its content is ever evaluated. For crawlers to read your page, the text must sit in plain HTML rather than locked inside images or closed files, and the page must load at a reasonable speed without forced logins, content-blocking pop-ups, or crawler blocks in your site settings, while making clear who wrote the page and when it was updated.
• Structured data and mentions on other trusted sites Structured data is code written in a standard format the engine understands, telling it whether the page is a product, service or FAQ page, who owns it, and when it was updated, which removes ambiguity when the engine reads the page. It also helps when the engine finds your business named on other sources it trusts, such as specialist directories, news sites and established platforms in your sector, allowing it to link your name to your field with greater confidence.

You know your site leads AI answers when you ask the AI engines your customers' real questions in your country and check each answer against four distinct outcomes: whether your site is cited with a link, mentioned by name without a link, absent from an answer that was written, or whether the engine wrote no answer at all for that question. Because traditional traffic reports neither show the text of AI answers nor list the sources the engine picked, this question-and-engine analysis shows your actual standing and your share of citations against competing sites.

Confusing your site's absence from an answer that was actually written with the engine not writing an answer in the first place is the single biggest mistake that misleads business owners when reading scores, because the absence of an answer is caused by the engine rather than a flaw on your page. In Tasadr, we therefore separate the four outcomes for every question on every engine with complete clarity

• Cited Your site's link appears clearly among the answer's sources that the reader can click, whether the engine also wrote your brand name in the text or simply placed your page's link as a source; this is the highest outcome in GEO because it sends the reader straight to your site.
• Mentioned without a link Your brand or business name appears inside the paragraph the engine wrote, but without a direct link to your site, showing that the engine knows your business while your page still needs improvement to be chosen as a linked source.
• Absent The engine wrote a full answer to the customer's question and cited other sources, with neither your link nor your name in the response, showing you where competing sites are winning that question and which page on your site needs work.
• No answer The engine did not generate an AI answer for that question on that run (for example, when Google Search shows only standard links without an AI Overview), and this case is never counted against your site because the engine chose no source at all.

GEO cannot guarantee a permanent reserved spot, nor can it guarantee that your site will be named in every single answer an engine writes for every user without exception. The technical reason is straightforward: an AI engine builds its answer and selects its sources afresh each time, and nobody outside the company that owns the engine holds the complete selection rule. Anyone promising you a guaranteed, fixed rank inside AI answers is selling something they do not own, and the sound business decision is to work on raising the rate at which engines cite your site and tracking its direction over time.

Understanding these natural limits from the start protects your budget and time, and helps you read the numbers and make sound marketing decisions for your business

• No guaranteed reserved seat Nobody can buy or guarantee a permanent slot among the sources an engine cites in its organic answers, because a citation is earned by the clarity and quality of your answer compared with the other pages available at the moment of the question.
• No absolute sameness on every run A chat engine's answer and phrasing can shift from one run to the next, so you should neither treat a single positive answer as a permanent victory nor treat a small one-off dip as a loss that requires changing your plan, and instead base your decisions on clear changes that hold across repeated analysis.
• The score is an analytical benchmark for comparison Your Tasadr score out of 100 is an analytical indicator we compute to summarise where your site stands across your market's questions and compare your performance before and after changes, rather than an official figure issued by Google or OpenAI.
• No substitute for technical basics No amount of paragraph rewriting or added numbers will rescue a site that is extremely slow or blocked from indexing and crawlers, because the engine will never reach the text in the first place.

The first step you should take now is to gather ten real buying questions your customer asks before choosing to buy from you or a competitor, and analyse your site's presence across them on two engines to see where your business stands today. Starting with ten questions is enough to show whether your site is inside the answer or left out of it, and which competing sites the engine cites instead of you in your market, without scattering your team's effort across hundreds of pages at once.

When you begin updating pages, do not expect results to flip within two days of editing a page, because an updated or newly published page must first be indexed, then read by engine crawlers, and then selected among sources when the engine rebuilds its answers on varying cycles. Approach the analysis with practical patience, focus on changes that hold rather than brief fluctuations, and read how long GEO takes to change the results to understand the factors that govern the pace of change.

To put this into practice without complexity, follow these five steps in order

1. Start your 7-day free trial and add one site The free trial in Tasadr gives you 7 full days to analyse your site with no credit card required, so you can inspect the engines' answers yourself and base your decision on your site's real numbers.
2. Set your target market country accurately Choose the country where your customer buys, because the same question can draw different answers and sources in Riyadh, Dubai, Cairo and Kuwait, and setting the country ensures you see the exact answer a buyer in your market sees.
3. Write up to ten buying questions in your customer's words Enter the full questions a buyer asks when comparing options or checking prices and recommendations, rather than listing ten isolated keywords, because the engine answers full questions.
4. Finish setup and read your first analysis Once the first analysis completes, read the excerpt of every answer the engine wrote and see which sites were cited and where your site stands among them so you can pinpoint the exact gaps.
5. Fix your two weakest questions and follow the next analysis two weeks later Open the pages for your two weakest questions, add an opening paragraph to each that answers the question in its first sentence with clear numbers, dates and a direct definition, verify that the page is open to crawlers, and check the analysis two weeks later to see what changed question by question.