SEO + GEO Consulting for AI Search Visibility

A growing share of your buyers never reach a search results page. They ask ChatGPT, Perplexity, or Google's AI Overviews, read the answer, and move on. I run SEO and GEO as one program: the technical and content work that still wins Google rankings, plus the entity and citation work that gets your company named when an answer engine composes the reply — all of it reported against qualified leads and collected revenue.

I'm Ahmed Ayoutty. I spent 13 years building and running performance marketing agencies — I founded and led TAR, DAAD, and Insight — before moving into AI-native marketing systems. I work fully remotely across the US, UAE, Saudi Arabia, and Qatar, in English and Arabic.

Who this service is for

This engagement fits US companies whose buyers research before they ever talk to sales: SaaS, professional services, e-commerce, and any category where "best X for Y" questions now get answered by an assistant instead of a results page. Some clients arrive already ranking well in Google yet absent from AI answers. Others have been through a generic agency retainer and can show rank-tracker screenshots without a single line connecting the work to revenue. Both problems have the same fix — and it starts with knowing exactly what the answer engines say about you today.

Why a generic SEO agency won't get you cited in AI answers

The standard "content plus backlinks" package optimizes one surface: the classic Google results page. That surface still matters, and I still work it. What the package ignores is that ChatGPT, Perplexity, and AI Overviews choose sources by different rules — quotable, self-contained passages; a consistent entity footprint across the web; structured data an engine can parse; and corroboration from third-party sources it already trusts. GEO and AEO are their own disciplines with their own checklists, and treating them as a by-product of ordinary SEO is how brands end up invisible in exactly the place their buyers now ask first. If the three terms blur together, the primer on SEO vs. GEO vs. AEO untangles them.

The second failure is measurement. A position on a keyword is a means, and most agency reporting treats it as the end. If your monthly report stops at rankings and sessions, nobody can tell you whether the program is producing qualified pipeline or quietly burning budget on traffic that never converts.

How I work

The work runs in five stages, each with a clear handoff to the next: audit, strategy, build, measure, optimize — in that order, every time.

What you get

Every engagement is scoped to your site and market, but the core deliverables stay consistent:

• An AI-visibility baseline audit — a documented read on where you are cited, misquoted, or absent across ChatGPT, Perplexity, and Google's AI Overviews for the questions your buyers actually ask, alongside the classic technical and content audit.
• Technical fixes actually shipped — crawlability, site speed, indexation, and structure problems resolved in the codebase, with each fix logged so you can verify it, rather than listed in a PDF and left for "phase two".
• Content engineered to be cited — pages that answer commercial questions in self-contained, quotable passages, so both Google and answer engines can pull you in as the source.
• Schema and entity work — structured data plus a consistent entity footprint across the profiles and directories that answer engines cross-reference before they trust a source.
• An AI-citation tracking setup — a repeatable way to monitor how your visibility in AI answers changes month to month, built on the approach in how to measure AI search visibility.
• Monthly two-number reporting tied to your CRM — gross visibility on one side, qualified leads, pipeline, and collected revenue on the other, so budget decisions run on business results.

Out of scope, and I'll say so up front: paid media management (a separate service of mine), full web design or rebranding, and link-buying schemes — those carry penalty risk no visibility gain justifies.

Where this shows up across US sectors

SaaS companies feel it first: "best [category] software" queries increasingly resolve inside an assistant, and the shortlist it names is the shortlist your buyer evaluates. Professional-services firms — legal, accounting, consulting — face high-consideration buyers who ask an engine for recommendations before they ever fill in a form, which makes entity credibility as important as rankings. E-commerce brands see AI Overviews sitting on top of product and comparison queries, deciding which merchants get mentioned at all. The mechanics differ by sector; the discipline — audit, build, measure against revenue — does not.

The first 30 days

Weeks 1–2: full technical and content audit, competitor gap analysis, and the AI-visibility baseline — a documented snapshot of what every major answer engine currently says about you and your category. Week 3: prioritized roadmap agreed, first batch of technical fixes shipped. Week 4: first citable content in production, citation tracking running, and CRM reporting wired — so we measure qualified leads and revenue from day one instead of discovering in month four that nothing was connected.

How you'll know it's working

Every month you get two numbers side by side, never just one. The gross number covers what the work influenced: rankings, organic sessions, and where you now appear in AI answers. The net number covers what your business banked: qualified leads, pipeline, CAC, and collected revenue, pulled from your CRM. ROAS gets computed from that collected figure, never from a platform dashboard's own claim about itself. I'd rather tell you a page is only moving traffic than let a dashboard flatter both of us — and the same rule that keeps my paid-media reporting honest applies here to organic and AI visibility.

Frequently asked questions