AI Overview & AEO

The new reality at the top of search

Try this in ten seconds. Open Google on your phone, switch the language to Arabic, and search for the exact thing your business sells. Before you reach a single website — before your carefully built homepage, your reviews, your offers — an AI now answers the question for you. It summarises the market. It recommends a few names. It quietly decides who is worth a click and who is not.

That summary is an AI Overview, and since May 2025 it has been live across the Middle East and in Arabic. The top of Google stopped being a list you could climb and became an answer you must be part of. The brands that get named in that answer are quietly winning the region’s customers. The ones that don’t are becoming invisible in their own market — not because their SEO failed, but because the rules changed and nobody told them.

This is the uncomfortable shift every Egyptian and Saudi business owner can now verify for themselves. For two decades, search engine optimization meant one thing: earn a high position in the blue links and get the click. That game still matters — but a new layer now sits on top of it. AI Overview optimization, the heart of what the industry calls Answer Engine Optimization (AEO), is the discipline of making sure that when an AI assembles the answer, your brand is in it: cited, recommended, trusted.

I want to be precise and honest with you on this page, because the field is flooded with hype. Some of what you’ve read about “AI SEO” is genuinely true and urgent. A lot of it is snake oil. My job here is to show you exactly what moves the needle — using Google’s own words, the largest data studies in the industry, and the verified results I’ve produced for brands in Saudi Arabia and Egypt — and what is a waste of your money.

SEO vs AEO vs GEO: the three games, clearly defined

The single biggest source of confusion in this field is sloppy vocabulary. Agencies blur three different things together, sell you “AI SEO packages,” and never define their terms. Let me fix that, because the strategy depends entirely on understanding the distinction.

There are three overlapping disciplines. They are not rivals — they are layers, each building on the one beneath it.

Here is the part most competitors get wrong: these do not replace each other. AEO and GEO enhance SEO; they do not make it obsolete. A page that doesn’t rank almost never gets cited. A brand nobody mentions online almost never gets recommended by an AI. The fundamentals didn’t disappear in the AI era — they became the price of admission to a higher-stakes table.

Google itself has gone out of its way to make this point. In its 2026 guidance for generative AI features, Google explicitly names both AEO and GEO and then folds them back into traditional search optimization rather than treating them as separate frameworks. That is a gift to anyone trying to cut through the noise: the work that earns you AI visibility is, at its root, disciplined, expert, well-structured SEO — done to a far higher standard.

So when I build an AEO strategy, I’m not throwing out everything that works. I’m sharpening it — adding the specific layers that turn a page that ranks into a page the AI quotes, and turning a brand that exists into one the AI trusts enough to name.

Why everything changed in MENA on May 20, 2025

For a long time, businesses in our region could treat AI search as a distant Western problem. AI Overviews launched in the United States, the data came from US studies, and the Arabic-speaking web felt insulated. That ended on a specific date.

On May 20, 2025, Google brought AI Overviews to the Middle East and North Africa for the first time and simultaneously launched Arabic support globally — on both mobile and desktop. Shortly after, Google rolled out AI Mode in Modern Standard Arabic (Fush’a) as part of a 38-language expansion reaching more than 200 countries and territories. In plain terms: the AI layer that had been reshaping search in the West arrived, fully, in our language and our markets.

This is the local angle that almost every global guide ignores. The thorough, well-written listicles dominating the search results — from the big international publishers — are 100% US-centric. None of them address Egypt, Saudi Arabia, the Gulf, or Arabic-language AI Overviews. They write as if the entire world searches in English. Your customers do not.

And the timing is not coincidental. AI adoption in our region is government-backed and accelerating. Saudi Arabia’s Vision 2030, driven by SDAIA (the Saudi Data and AI Authority) and the ALLAM Arabic language model, has made AI a national priority. Egypt’s National AI Strategy 2025–2030 is doing the same. Your buyers — especially decision-makers in the Gulf — are already primed for AI-era marketing. They expect their suppliers to be AI-visible. The brands that show up inside the AI answer signal exactly the kind of modern, authoritative credibility this market now rewards.

How AI Overviews actually choose their sources

To win a citation, you have to understand how the machine builds its answer. It does not simply pick the number-one result and paraphrase it. It does something far more interesting, and understanding it changes your entire strategy.

When you ask a question, Google’s AI doesn’t run one search — it runs many. This is called query fan-out. The model silently decomposes your question into a web of related sub-queries, searches each one, then synthesises a single answer from the best sources across all of them. Ask “how do I optimize for AI Overviews in Arabic,” and behind the scenes it may be searching for what is AEO, Arabic AI Mode, AI Overview ranking factors, featured snippet optimization, and a dozen more.

This single mechanic explains the most important strategic truth in AEO: you cannot win with one keyword. You have to own the whole topic. Ahrefs found that pages ranking across the fan-out queries Google generates are 161% more likely to be cited in AI Overviews. The brands that get named are the ones with deep, connected topical authority — a full cluster of content that answers the question and every question around it.

The second mechanic is extraction. Once the AI has gathered its sources, it lifts the clearest, most direct, most self-contained passages. Content that opens a section with a crisp, complete answer — roughly 40 to 60 words, structured cleanly — is far easier for the model to extract and quote than a meandering paragraph that buries the point. This is why question-based headings, lists, tables and genuine FAQs perform so well: they hand the machine the answer on a plate.

The third truth is intent. AI Overviews are overwhelmingly an informational phenomenon: 99.2% of the keywords that trigger them are informational, and they appear on 57.9% of question queries. That tells you exactly where to aim — the why, how, what is and which is best questions your customers actually type, in both Arabic and English. Commercial and transactional pages still rely mostly on classic SEO; informational, conversational, long-tail content is where AEO is won.

What Google and the largest data studies actually say

I never ask you to take my word for it. The most reassuring thing about AEO is that the people with the most data — Google itself, Ahrefs, Semrush — agree on what works. And much of what they say directly contradicts the hype.

Start with Google’s official position, which is remarkably blunt:

Google is equally clear about eligibility. There is no secret door, no special pass. To appear in an AI Overview, a page must simply be indexed and eligible to be shown with a snippet — the same technical requirements that govern ordinary search. That is the floor. Everything else is about being the best, clearest, most trusted answer once you clear it.

The data backs this up emphatically. Ahrefs analysed 1.9 million citations from over a million AI Overviews and found that 76.1% of cited pages also rank in the top 10, with the median rank of top-cited URLs sitting at position 2. Search Engine Land puts the chance of appearing in an AI Overview at roughly 53% at organic position 1 versus about 37% at position 10. The conclusion is impossible to escape:

This is why I’m wary of anyone selling “AEO” as a standalone product divorced from real SEO. You cannot shortcut your way into the AI answer while invisible in the rankings beneath it. Strong organic performance is the foundation; AEO is the structure you build on top.

But ranking alone isn’t enough — and here is where the data gets genuinely surprising. When Ahrefs measured what correlates most strongly with AI Overview visibility, the number-one factor wasn’t a technical tweak or a schema type. It was brand mentions. Branded web mentions showed a 0.664 correlation; YouTube mentions, 0.740. Your off-page footprint — the PR, the citations, the conversations happening about your brand across the web — matters as much as anything on your own pages.

What actually earns AI citations (and what doesn’t)

Pulling the research together, a clear, evidence-based picture emerges of what genuinely moves the needle. Here is the framework I build every AEO engagement around — each lever backed by real data, not folklore.

Let me draw out the three that most businesses neglect.

Freshness is decisive. Roughly 85% of AI Overview citations come from content published in the last three years — 44% from 2025 alone, 30% from 2024, 11% from 2023. Stale, un-updated pages quietly lose ground. A core part of my work is a freshness programme: keeping your cornerstone content current, accurate and re-published, so the AI keeps choosing it over older rivals.

Real E-E-A-T, not the appearance of it. Experience, expertise, authoritativeness and trustworthiness are not buzzwords to Google’s systems — they are measurable signals. Named authors with genuine credentials, original data and statistics, citations to primary sources, faithful expert quotes. Search Engine Land found that adding citations, quotations and statistics can increase source visibility by 40% or more. This is precisely why a page like the one you’re reading cites its sources by name and links to them — it is the standard the AI now rewards.

Topical authority over keyword chasing. Because of query fan-out, the winners are brands that own an entire subject, not a single phrase. As Ahrefs puts it:

The bilingual Arabic advantage no global agency offers

This is where the regional opportunity becomes a genuine competitive moat — and where I can do something a global agency structurally cannot.

The Gulf market is bilingual. Your customers search in Arabic and English, often switching mid-session. Yet almost every AEO strategy on the market optimizes for English only. That leaves the entire Arabic AI Overview surface — every Arabic question, every Fush’a query in AI Mode — wide open. Optimizing in English alone is like fortifying one gate of a city and leaving the other unguarded.

A serious Arabic AEO strategy means more than translation. It means writing genuinely native, expert content in Modern Standard Arabic that Google’s AI Mode now understands, while accounting for the dialect-aware Arabic models reshaping the region: ALLAM in Saudi Arabia, alongside Jais and Falcon Arabic. These sovereign models comprehend regional nuance in ways generic systems miss. Content built for them — culturally fluent, dialect-aware where it counts, structured for extraction in Arabic — claims answer real estate that English-first competitors will not even see.

Practically, that means I research and target informational, conversational, long-tail and “why/how” questions in both languages — تحسين الظهور في نتائج الذكاء الاصطناعي and “how to appear in AI Overviews” alike — and structure each answer for clean extraction in its own language. The result is a brand that shows up whether your customer thinks in Arabic or English. In a region where the competition has only built half a strategy, that is decisive.

AEO myths, debunked with Google’s own words

Because AEO is new and money is flowing into it, the field has filled with “hacks” that range from useless to actively harmful. I’d rather lose a sale than sell you something Google has explicitly called unnecessary. Here are the myths I refuse to charge you for — each one debunked by Google itself.

Myth 1: “You need an llms.txt file (or special AI markup) to appear in AI search.” You do not. Google could not be clearer:

Myth 2: “Special schema unlocks AI Overviews.” No single schema type is a magic switch. Structured data — FAQPage, HowTo, Article, Organization — is genuinely useful as a clarity aid that helps machines understand your page. But Google requires no special schema to appear in AI features, and treating markup as a guarantee is selling a false promise. I implement clean, valid structured data because it helps, not because it’s a backdoor.

Myth 3: “Chunk your content into tiny blocks written just for AI.” Google explicitly warns against writing “in a specific way just for generative AI” and against artificial content chunking. Content written for robots reads like it was written for robots — and the quality systems that feed the AI notice. The winning move is the opposite: write genuinely excellent content for humans, then structure it cleanly so it’s easy to extract.

The throughline is consistent across everything Google has published this year, and it deserves to be stated plainly:

So when someone pitches you a cheap “AEO package” built on llms.txt, schema tricks and AI-only content chunking, you now know exactly what you’re being sold: motion without movement. The real levers — rankings, brand mentions, topical authority, freshness and demonstrable expertise — take genuine work. That work is what I do.

My AEO process, end to end

I don’t hand you a list of “AI tips” and disappear. I run a focused, evidence-led process that builds genuine AI visibility on foundations that last — and I prove every step in your own data.

1. Audit & baseline. I map where you currently appear in AI Overviews and AI Mode (in both Arabic and English), benchmark your organic rankings, brand-mention footprint and content freshness, and pull your Search Console AI Overview data so we start from facts, not guesses.

2. Topic-cluster strategy. Using query-fan-out research, I identify the full universe of informational questions your customers ask in both languages — and map the cluster of content needed to own them, so you appear across the sub-queries Google generates.

3. Answer-first content & optimization. I write or restructure your cornerstone pages with clean 40–60 word answers, question-based headings, comparison tables and genuine FAQs — built for humans first, extractable by AI second. Real authors, real data, real citations.

4. Authority & brand mentions. Because brand mentions are the #1 correlating factor, I build the off-page signals that earn trust — digital PR, citations and the kind of legitimate footprint that makes an AI confident enough to name you.

5. Freshness & technical hygiene. I keep cornerstone content current, ensure every page is indexed and snippet-eligible, and implement clean structured data as a clarity aid — never as a gimmick.

6. Measure & prove. Transparent before/after reporting straight from Google Search Console — AI Overview impressions, clicks and position alongside organic gains — so you can verify every result yourself.

The visibility this unlocks

AEO is new, but the engine beneath it — topical authority, technical excellence, real expertise and brand strength — is exactly what I’ve used to produce results my clients can verify in their own dashboards. Because Google’s AI features run on its core ranking systems, the same foundations that built this growth are the ones that earn AI citations today.

• Roseberry (Saudi Arabia) climbed from roughly 25 impressions a day to 51.5M impressions and 545K clicks across 2,855 keywords over 16 months. That breadth of keyword coverage is precisely the topical authority that wins across query fan-out in the AI era.
• Conscent grew from 61K to 1.2M impressions in six months once a real content foundation and structure were in place.
• A niche store in Saudi Arabia, collapsed by technical issues and a missing content strategy, was rebuilt and driven to #1 in Saudi Arabia in 166 days.
• Oxford (Egypt) reached 70.6K impressions through disciplined, expert-led optimization in a competitive market.

Every one of those numbers is independently verifiable in Google Search Console, Moz and Semrush. That is the standard I hold myself to: not promises, but proof you can check yourself.

Here is the strategic bottom line. AI Overviews can cut clicks to the top organic result by up to 58% when they appear — so standing still is the genuine risk. But cited brands earn 35% more organic clicks than uncited ones. The choice is no longer whether to engage with AI search; it’s whether the AI describes your market with your brand in the answer, or someone else’s. Since May 2025, in Arabic and English, across Egypt, Saudi Arabia and the Gulf, that decision is being made on every search — and it favours the brands that prepared.

This page is the playbook for making the AI choose you. If you want it executed — in both your languages, on a foundation you can verify — that is exactly what I build.