AI SEO
Content and structure built for how AI-driven search systems actually crawl and rank a site.
Exactly what you get, no vague deliverables.
What’s included
Brand visibility audit across ChatGPT, Perplexity, Gemini, and Copilot
Content restructured for large-language-model extraction and citation
llms.txt and structured knowledge files built for your site
Ongoing monitoring of AI-generated brand mentions and citations
Competitor citation gap analysis across major AI assistants
Three starting points — scoped precisely after a call.
Every engagement gets a fixed quote before work starts. These are starting figures, not the full range — the exact number depends on scope.
Launch
AED 3,000/mo
Growth
Most commonAED 5,500/mo
Enterprise
Custom
The same four steps, applied to this service.
Discover
Working sessions to map the product, the users, and the business constraints — scope, architecture, and success metrics defined before a line of code ships.
Architect
System design, stack decisions, and UI/UX direction locked in as one coherent plan — not a patchwork stitched together across separate vendors.
Build
Full-stack implementation in short, visible iterations — progress you can see and test throughout, not a black box until launch day.
Ship & partner
Launch, then an ongoing partnership: monitoring, iteration, and roadmap support as the product — and the business around it — keeps moving.
Industries where this service comes up most.
Applied differently per sector — see how it translates for yours.
Case studies for this service are being added.
Specific AI SEO case studies aren’t published yet — see the general portfolio in the meantime, or ask directly for examples relevant to your industry.
See the portfolioAI SEO — frequently asked.
Regular SEO targets Google's ranking algorithm and drives click-through traffic to your site. AI SEO targets how large language models select, summarize, and cite sources when they answer a question directly inside the chat window — often with zero click-through, but real brand authority.
I run tracked prompt sets against ChatGPT, Perplexity, Gemini, and Copilot monthly, logging whether and how your brand gets cited versus competitors. That citation-frequency data, not vanity metrics, is what the reporting is built around.
No — LLM training data and live retrieval behavior aren't things any agency controls end to end. What I control is making your content structurally easy for these models to find, parse, and trust as a source, which measurably improves citation odds over time.
Monthly retainer, similar structure to traditional SEO, scoped by how much of your content library needs restructuring and how many AI platforms I'm tracking. Often bundled with AEO and traditional SEO at a discount since the underlying audit work overlaps.
Ready to scope AI SEO?
A short call is enough to size the work and give you a fixed quote — no obligation, no generic sales deck.
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