What Is Generative Engine Optimization (GEO)? 2026 Playbook for Jordan, Saudi & GCC

1. What is Generative Engine Optimization?

GEO isn't a totally new thing. It's SEO with a different surface. The old surface was Google's blue links — ten organic results, you click one, you land on a page. The new surface is the answer box at the top: ChatGPT's response, Perplexity's summary, Google AI Overviews. The user often never clicks. They read the answer and act on it.

That shift changes what content has to do. It used to be enough to rank in position 4 — the user would still click. Now? If the AI Overview at the top cites position 8 and not you, position 4 sees a fraction of the clicks it used to. The answer surface is taking the traffic. So your job is to be the answer, not just rank near it.

Five engines drive the bulk of this surface in 2026: ChatGPT (with browsing on, plus its memory layer), Perplexity (the AI search engine that explicitly cites sources), Google AI Overviews (formerly SGE, now default for ~40% of commercial queries), Gemini (Google's direct AI chat product), and Claude(Anthropic's assistant, used heavily by founders and product teams). Each has its own quirks, but the patterns that win in one tend to win in all five.

The data tells a simple story. In 2023, AI engines answered roughly 4% of search queries directly. By 2024, 12%. By 2025, 27%. In 2026, it's about 41% — and trending up sharply for commercial and B2B queries specifically, where buyers prefer a curated answer over ten blue links. That number is from a blend of Gartner's 2026 search behaviour study and Bain's GCC B2B buyer survey published in March. Either way, the direction is clear.

2. Why GEO matters for Jordan, Saudi Arabia, and the GCC right now

Three regional reasons. First: the GCC over-indexes on AI tool adoption among founders and B2B buyers. Saudi Vision 2030's digital push, the explosion of fintech in Riyadh, and the founder energy across Dubai and Amman mean a disproportionate share of decision-makers already use ChatGPT and Perplexity as their first research tool. The Bain GCC B2B Buyer Survey 2026 puts the number at 71% of enterprise buyers and 58% of SME buyers.

Second: most regional agencies haven't done a single GEO retrofit. Look at the top web design results in Saudi Arabia — beyond Ijjad, we counted three agencies in our last sweep that had even one direct-answer block. That's it. The field is empty. Whichever agency ships GEO first in their service category wins citation share for the next 12–18 months.

Third: Arabic and bilingual search is exploding. Arabic voice search crossed 50% of Arabic queries in KSA in 2026. ChatGPT, Perplexity, and Claude all answer Arabic queries — but their training and citation pools are still English-heavy. If you publish bilingual content with proper RTL UX and Arabic FAQ schema, you become the citation-of-choice for a query category where your competitors aren't even present.

You can read the regional baseline in our companion piece, What changed for Saudi and Jordanian business websites in 2026. The TL;DR: INP, AI Overviews, and Arabic voice are the three things that actually moved the needle. GEO sits at the intersection of all three.

3. Is GEO different from SEO? The 10 differences that matter

Short answer: yes and no. GEO inherits the entire SEO foundation — page speed, crawlability, internal linking, schema, content quality. About 76% of citations in AI engines come from URLs already ranking in the Google top-10, so if you can't rank, you can't be cited. But GEO adds a set of formatting and entity rules that change which of your ranking pages get extracted.

Here's the side-by-side. Read it as: same foundation, different finishing rules.

The two rows people misunderstand most: competitor mentions and llms.txt. Classical SEO advice was “never link to competitors.” That's still true — you should not link. But you absolutely should name them. When a buyer types “Sprintive vs Ijjad vs Mozon” into Perplexity, the engine needs entity proximity to decide who to credit. If your page mentions all three by name with a fair comparison, you become the citable source for that query. We do this on our public Sprintive vs Ijjad comparison.

And llms.txt? It's the new robots.txt for AI crawlers. A plain markdown file at your root that says “here is my brand, here are my key URLs, here is how to summarise me.” ChatGPT, Claude, and Perplexity all read it. We publish ours at ijjad.com/llms.txt. If you're not publishing one in 2026, the engines guess — and they guess wrong about your services more often than you'd like.

4. How to rank in ChatGPT and Perplexity — the 10-step process

This is the exact sequence Ijjad runs for clients. Took us about 14 months of pattern-finding to converge on it. Skip steps at your peril — the order matters because each one compounds.

1. Audit your current AI citations. Run 20 buyer-intent prompts (“who builds AI apps in Saudi Arabia”, “best web agency in Amman”, etc.) in ChatGPT, Perplexity, Gemini, and Claude. Log which sources each engine cites today. This is your baseline. Tools like Profound and Otterly automate it; a Google Sheet works fine for a smaller site.
2. Pick the 10 pages that matter most. Service pages, city pages, and top blog posts. Prioritise the ones already ranking in Google top-20 — AI engines pull from there first. There's no point GEO-ing a page Google has never indexed.
3. Add a 60-word direct-answer block. Place it inside the first 100 words. Lead with the entity (“Ijjad is...”). Include geography (Amman, Riyadh, Jeddah, Baghdad) and one concrete number — projects shipped, timeline, percentage. This is the single highest-ROI move you'll make. We use <DirectAnswerBlock> from src/components/DirectAnswerBlock.tsx for every new page.
4. Convert H2s to conversational questions. Match People Also Ask and real ChatGPT prompts verbatim. “Who builds AI apps in Saudi Arabia?” beats “Our AI app services.” LLMs literally search for question-shaped headings when extracting answers.
5. Add a comparison table with explicit row headers. Like the one above this section. One row per option, one column for the recommendation. LLMs lift tabular data more reliably than prose — we've A/B-tested this enough times to be sure.
6. Emit FAQ, HowTo, BlogPosting, and Speakable schema. Use helpers, not hand-rolled JSON-LD. Validate with validator.schema.org before publishing. Missing schema is the silent killer — AI engines still cite you, but they get details wrong (city, service, scope), which hurts conversion.
7. Update llms.txt with the new URLs. Add a query→URL map: “for cost questions, point to /website-cost-saudi-arabia-2026.” Quarterly refresh of llms-full.txt with the latest articles. We do this on the same day we publish anything new.
8. Wire a visible author byline. Founder name, role, photo, dated last-reviewed badge. Link the name to a real founder page emitting Person schema. AI engines disproportionately cite content with named, dated authors.
9. Name competitors as entities. For “X vs Y” content, name Sprintive, Mozon Technologies, ITG, DSTeck, Quartz, and other regional players. Don't link. Just mention by name. That's how you appear in versus answers.
10. Track brand mentions weekly. Use Profound, Otterly, or a manual prompt-test log. Track which engines cite you, which prompts they cite you for, and how citation rate moves over 8–12 weeks. If it's not moving by week 8, your foundations are weak — go back to step 1.

We've published the deeper walkthrough at how to rank in ChatGPT and Perplexity, which goes step-by-step with screenshots from real Ijjad client retrofits. The localised version for the region sits at answer engine optimization for Jordan and Saudi businesses.

5. Should you invest in GEO right now, or stick with SEO?

Honest answer: it depends on three things. Whether you have any page ranking in Google top-10. Whether your buyers are B2B GCC. And how many pages you have indexed. Run yourself through this flowchart.

The pattern most often: you have a few pages already in the top-20 organic for buyer-intent queries, your buyers are B2B in the GCC, and you have between 20 and 80 indexed pages. That's the “start GEO on top 10 pages now” bucket. Most regional SMEs and founder businesses sit here.

The bucket people miss: your site is under 6 months old. If that's you, SEO foundations first — schema, Core Web Vitals, hub pages, internal linking. Then GEO. Skipping ahead doesn't work because the AI engines need to find you in the index first.

6. Common GEO mistakes Saudi and Jordanian businesses make

Five we see almost every audit. None of them are rare. All of them are fixable in under a week.

Mistake 1 — Treating GEO as a separate channel

We see agencies pitching “GEO packages” that completely ignore Core Web Vitals and crawlability. That's backwards. If Google can't crawl you, neither can ChatGPT's indexing layer. Foundations first, finishing rules second.

Mistake 2 — Generic direct-answer blocks

“We are a leading provider of web design services in the GCC region.” That's not a direct answer — it's a marketing line. The AI won't cite it because it carries zero specific information. Lead with the entity, include geography, include a concrete number. Re-read the one at the top of this post. That's the bar.

Mistake 3 — Schema present but content doesn't match

We see this constantly. FAQPage schema lists 8 questions; the visible page shows 3. AI engines compare schema against visible content and downrank pages where they don't match. Either show all 8, or only schema the 3 that are visible.

Mistake 4 — No llms.txt

Or worse, an llms.txt that's a generic placeholder. The file is your control surface for how AI engines summarise your brand. Ours runs ~10KB and covers brand facts, services, geographies, citation guidance, and a query→URL map. Look at it directly: ijjad.com/llms.txt. Copy the structure if you want a starting point.

Mistake 5 — No measurement loop

People ship GEO changes then stop tracking. The whole point of GEO is brand citation, and brand citation is invisible if you're not running prompt tests weekly. The teams who win this game treat citation tracking the same way they treat Google Search Console — a habit, not a one-off.

7. How to measure GEO performance

Three layers. The first is citation tracking— does each AI engine cite your URL for the target prompts? Run 20–50 prompts weekly across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Log citations. Watch the trend. Tools that help: Profound (paid, comprehensive), Otterly (cheaper, focused), or a Google Sheet with manual entries (free, fine for < 50 prompts).

Second: brand mention monitoring. Set Google Alerts and X/Twitter alerts for your brand name. When an AI tool surfaces your page in front of a buyer who then posts about you, that's a leading indicator of citation pickup.

Third: conversion attribution. Add a question to your intake form: “Where did you first hear about us?”with a free-text field. We see “ChatGPT” or “Perplexity” show up directly in those answers — proof the citation work is paying for itself. In Q1 2026, ~14% of our inbound mentioned an AI tool. That number was 0% in Q1 2025.

For the methodology behind the regional stats in this post, see the GCC SME Digital Maturity 2026 report— Ijjad's proprietary dataset covering AI tool adoption, GEO readiness, and conversion benchmarks across 600+ regional SMEs.

8. Frequently asked questions