Dareen Fuqaha — Amman, Jordan
GEO & AI SEO Expert in Amman, Jordan
Hi, I'm Dareen. I structure content so it's easier for ChatGPT, Google AI Overviews and Perplexity to find, understand and cite, for B2B and B2C brands based in Amman and across Jordan. This site is built the same way I build it for clients.
TL;DR: GEO (Generative Engine Optimization) is how you make content easy for AI tools like ChatGPT and Google AI Overviews to find and cite. I'm a GEO and AI SEO specialist based in Amman, Jordan, structuring content (TL;DR summaries, FAQ schema, direct answers) for B2B and B2C brands across Jordan and the GCC. No one can guarantee a citation, but structure measurably improves the odds.
GEO & AI SEO services for businesses in Amman & across Jordan
Most engagements break down into five parts:
TL;DR & Direct-Answer Content
Rewriting key pages so the actual answer sits near the top in plain language, instead of buried under three paragraphs of preamble.
FAQ & Schema Markup
FAQPage, Service and Person schema implemented so search engines and AI crawlers can parse exactly what your business offers and to whom.
AI-Crawlable Content Structure
Clear H2s mapped to real questions, short self-contained paragraphs, and content chunked so an AI model can lift a section cleanly without losing context.
Brand Visibility in AI Overviews & LLM Answers
Structuring the content that supports being cited when someone asks an AI tool a question your business is actually positioned to answer.
Traditional SEO + GEO Integration
GEO layered on top of existing SEO work rather than treated as a separate project, since most of the underlying technical and content work serves both.
Prompt Set Building & Visibility Tracking
Building a representative set of real customer prompts and tracking how your brand shows up for them across ChatGPT, Perplexity, Gemini and Google AI Overviews over time.
Reddit & Community Visibility Strategy
Authentic participation in the threads and communities AI models already treat as trusted sources, rather than content built purely for search engines.
What is Generative Engine Optimization (GEO), and why does it matter in Jordan?
GEO is the practice of structuring content so AI tools can easily extract and cite it when answering a question. Instead of optimizing purely for a ranking position, GEO optimizes for being the source a model actually quotes or summarizes, through clear direct answers, TL;DR summaries, FAQ sections, and structured data like schema markup.
It matters in Jordan for the same reason it matters everywhere: more people are asking ChatGPT or Google's AI Overviews questions like "who should I hire for X in Amman" instead of typing a traditional search query. A business whose content isn't structured for AI tools to read is invisible in that slice of research, no matter how well it ranks the traditional way.
Parametric vs retrieval: how LLMs actually answer your customers' questions
Every large language model has two different ways of answering a question, and they behave very differently for GEO purposes.
Parametric knowledge is what's baked into the model during training: patterns and facts absorbed from its training data, frozen until the next model update. You influence this slowly, over months, by having a consistent, widely-referenced presence across the web that eventually gets swept into a future training run.
Retrieval (also called RAG, or retrieval-augmented generation) is what a model fetches live at the moment you ask, through a real-time search or browsing step, the way ChatGPT's browsing mode, Perplexity, and Google's AI Overviews all work. You influence this immediately: whatever is well-structured, current, and crawlable right now is what gets pulled in and cited today.
Most GEO work for a business in Amman is really about the retrieval layer, since that's the part you can move quickly. The parametric layer matters more for long-term brand association than for this week's citation.
Query fan-out: why one keyword isn't enough for AI search
When someone asks Google's AI Overviews or Perplexity a question, the system usually doesn't run a single search behind the scenes. It breaks the question into several related sub-queries, sometimes called query fan-out, gathers results across all of them, and synthesizes one answer from the combined set.
That means showing up for one exact keyword phrase isn't enough. A business needs presence across the whole cluster of related questions someone might ask on the way to the main one: pricing, comparisons, "is it worth it," alternatives, and so on, not just the primary term.
In practice, this looks a lot like thorough keyword-cluster mapping, which is also good traditional SEO practice. Fan-out just raises the cost of skipping it.
How I apply GEO: proof from this website
This site applies GEO rather than just describing it. Every service page opens with a TL;DR summary written for fast extraction, every FAQ question is marked up with FAQPage schema, and every section heading maps to a real question a person (or a model) might actually ask, rather than a vague marketing label.
If you want to see what GEO looks like in practice rather than just read about it, this page is the example.
GEO KPIs: share of voice, visibility, citation score & sentiment
Traditional SEO has ranking position. GEO needs a different set of numbers, since there's no single "position one" inside an AI answer. The ones I track:
Share of Voice
How often your brand gets mentioned in AI answers relative to competitors, across a fixed set of prompts on the same topic.
Visibility
How often your brand appears at all across the tracked prompt set, regardless of ranking or position within the answer.
Citation Score
How often you're cited as an actual clickable source, not just mentioned in passing text with no attribution.
Sentiment
Whether the AI's mention of your brand reads as positive, neutral or negative, tracked the same way you'd monitor social or review sentiment.
Prompt building & AI visibility tracking for Amman businesses
Tracking starts with building a prompt set: a representative sample of the real questions your customers actually ask, not just your target keywords rephrased as questions. That usually means pulling from sales call notes, support tickets, and Google's "People also ask" boxes, then narrowing it to the 20-30 prompts that matter most.
That same set gets run on a regular schedule across ChatGPT, Perplexity, Gemini and Google AI Overviews, with the results logged against the KPIs above. It's manual and a little tedious right now. There isn't yet a mature tool that does this as cleanly as rank trackers do for traditional SEO, so consistency in how you run and log it matters more than the specific tool you use.
Common mistakes businesses in Amman make with AI search visibility
- No structured data at all. Without schema markup, AI crawlers have to guess at what a page is about instead of reading it directly from the code.
- Burying the answer. Long introductions before getting to the point make content harder for both readers and AI models to extract. Lead with the answer, then explain.
- Keyword-stuffed content. Text written to repeat a keyword rather than answer a question reads poorly to people and gets skipped by models looking for a clean, quotable answer.
- No FAQ schema. Plain FAQ text without markup is harder for AI tools to parse into a clear question-and-answer pair, even when the content itself is good.
- Ignoring AI tools as a real traffic source. Treating ChatGPT, Perplexity and AI Overviews as a novelty rather than a growing part of how people research before buying.
Reddit & community content strategy for AI search visibility
Reddit threads show up constantly inside Google's AI Overviews and get cited directly by ChatGPT and Perplexity, largely because they read as unfiltered, first-person experience rather than marketing copy. For a lot of "best X" and "is Y worth it" queries, a Reddit thread is now the source an AI model reaches for first.
The strategy here has to stay genuine: answering real questions in relevant subreddits, correcting misinformation about your own category, and being present in the threads your customers are already having, not posting disguised ads or paying for fake threads. Models and communities both catch astroturfing eventually, and it tends to backfire.
For a business in Amman, this usually means monitoring Jordan-specific and MENA business subreddits alongside the global ones relevant to the industry, since local threads carry more weight for local queries.
GEO vs traditional SEO: what's different for Jordan-based brands
SEO and GEO overlap more than they diverge. Technical health, clear writing, and relevant content help both. The difference shows up in emphasis: SEO cares about ranking position and organic traffic volume, while GEO cares about whether a model can lift a clean, accurate answer out of your content and attribute it to you.
For a Jordan-based business, that usually means the same content strategy, with schema markup and direct-answer structure added on top, rather than a separate content plan running in parallel. See the full SEO service page →
Why hire a GEO specialist instead of waiting for agencies to catch up in Jordan
GEO is new enough that most digital marketing agencies in Amman haven't built it into their process. When it shows up at all, it's usually bolted on as an afterthought.
I already restructure content for AI extraction on my own site, so applying the same approach to a client's isn't something I'm learning on the job. It's the same TL;DR, schema and direct-answer structure already live on every page here.
Agencies catching up to GEO isn't a criticism. It's genuinely new territory for most of the industry, just not new territory for me.
AI search optimization & LLM visibility services in Amman, Jordan
Who I work with: B2B & B2C brands preparing for AI search in Amman, Jordan & the GCC
Most GEO work I do sits alongside an existing SEO or content engagement for B2B SaaS and service businesses in Amman, plus consumer brands that want their FAQ and product content structured well enough to be quoted accurately if an AI tool ever surfaces it. It's rarely a standalone engagement, since it works best layered onto content that already needs attention anyway.
Related services in Amman, Jordan
Straight, direct answers to what people usually ask about GEO and AI SEO in Jordan.
What is GEO (Generative Engine Optimization)?
+
GEO is the practice of structuring content so AI tools (ChatGPT, Google AI Overviews, Perplexity) can easily extract and cite it when answering a user's question. That means clear direct answers, TL;DR summaries, FAQ sections, and structured data like schema markup, instead of long unstructured pages built purely for keyword rankings.
How is GEO different from traditional SEO?
+
Traditional SEO optimizes for ranking positions on a search results page. GEO optimizes for being the source an AI model actually quotes or summarizes inside its answer, which doesn't always correlate with ranking position. The two overlap a lot (technical SEO and clear content help both), but GEO puts more weight on structure, direct answers and schema than on rankings alone.
Why does AI search visibility matter for businesses in Amman, Jordan?
+
More people are asking ChatGPT, Google AI Overviews or Perplexity questions like "who should I hire for X in Amman" instead of typing a traditional search query. If a business's content isn't structured for AI tools to read and cite, it's invisible in that growing slice of buyer research, regardless of how well it ranks traditionally.
What does a GEO / AI SEO specialist actually do?
+
I restructure and write content so it's easy for AI models to extract: TL;DR summaries near the top, direct-answer FAQ sections, clear H2s that map to real questions, and FAQPage/Service schema markup. This site is itself built that way: TL;DR blocks, FAQ schema, and direct-answer sections throughout.
Can you make my business show up in ChatGPT or Google AI Overviews?
+
No one can guarantee a specific citation in an AI answer. The models decide what to surface, and that's outside any marketer's direct control. What I can do is structure your content so it's genuinely easier for those models to find, understand and quote, which measurably improves the odds without promising a specific outcome.
How much does GEO / AI SEO cost in Jordan?
+
GEO work is usually priced alongside SEO rather than as a fully separate service, since most of the underlying work (content structure, schema, technical cleanup) serves both. As a rough guide, it adds a smaller increment on top of an existing SEO retainer rather than doubling the cost.
Do I need GEO if I already have SEO?
+
If your SEO content is already clear, well-structured and answers real questions directly, you're most of the way to good GEO already. Where it usually falls short is missing schema markup, no direct-answer FAQ sections, and content written for keyword density rather than for a reader (or a model) looking for a fast, clear answer.
How long does it take to see results from GEO?
+
There's no reliable ranking tool for AI citations the way there is for search rankings, so results are harder to measure on a fixed timeline. In practice, structural changes (schema, FAQ sections, TL;DR summaries) can be implemented within weeks; whether and how often a model actually cites the content afterward is something you monitor over months, not weeks.
What's the difference between parametric and retrieval-based AI answers?
+
Parametric knowledge is what a model learned during training and has baked into its weights, fixed until the next update. Retrieval (or RAG) is what a model fetches live at the moment of your question, through a real-time search step. Most short-term GEO work targets the retrieval layer since it can change results within days rather than waiting for a future training run.
What is query fan-out and why does it matter for GEO?
+
Query fan-out is when an AI system breaks a single question into several related sub-queries before synthesizing one answer. It means you need visibility across a cluster of related questions, not just one exact keyword, since the model may be pulling from several searches you never see directly.
What GEO KPIs should I track: share of voice, visibility, citation score, sentiment?
+
Share of voice measures how often you're mentioned relative to competitors, visibility measures how often you appear at all, citation score measures how often you're cited as an actual clickable source, and sentiment measures whether those mentions read as positive or negative. Together they give a fuller picture than any single metric.
Does Reddit matter for AI search visibility in Jordan?
+
Yes. Reddit threads are heavily cited by Google AI Overviews, ChatGPT and Perplexity because they read as authentic, first-person experience. Genuine participation in relevant threads, including Jordan and MENA business communities, is a real part of a GEO strategy, though it has to stay authentic rather than look like disguised advertising.