Umair Salahuddin

Independent AI SEO consultant — AEO & GEO

AI SEO consultant for visibility in ChatGPT, Perplexity, Gemini, and Google AI Overviews

If you are looking for an answer engine optimization consultant, the useful question is not whether someone knows a new acronym. It is whether they can improve the pages, proof, and technical signals that shape how your brand appears in answer-driven search. I built QueryArc to test that directly through repeatable, multi-engine prompt sets instead of one-off screenshots. That measurement work grounds my AI SEO consulting: clearer source pages, stronger entity consistency, and content that is easier for AI systems to interpret, cite, and reuse.

Built on hands-on SEO experience across SaaS and eCommerce, plus original measurement work through QueryArc. If you need the definitional version first, start with what an AI SEO consultant actually does and how to measure AI search visibility.

What an answer engine optimization consultant actually does

"AI SEO" gets confused with two different things. One is using AI tools inside the SEO workflow. The other, which is what this page is about, is helping your brand get surfaced, recommended, and cited when someone asks ChatGPT, Perplexity, Gemini, or Google AI Overviews who to trust and what to choose.

That work still depends on strong SEO. Pages need to be indexable, clearly written, internally supported, and easy to interpret. The difference is that rankings are no longer the only visibility layer. In answer-driven search, a page may need to be retrieved, understood, and quoted in pieces rather than simply clicked as a blue link.

If you arrived here searching for an answer engine optimization consultant, that usually means you want help with four jobs at once: defining the right source pages, making answers easier to lift, tightening entity consistency across the site, and measuring whether the brand appears in real AI responses. I break that out in more detail in what an AI SEO consultant actually does and how to measure AI search visibility.

AEO, or Answer Engine Optimization, focuses on improving how clearly your content answers questions and how well it can surface in answer-driven environments.

GEO, or Generative Engine Optimization, focuses on improving how content is interpreted, selected, summarized, and reused in AI-generated outputs.

My approach to both is grounded in real SEO work, practical information structure, and direct testing into how AI search systems interpret web content. These are extensions of strong technical SEO and SEO content strategy, not replacements for them. They sit inside the same SEO consulting practice, pushed into the places where discovery is shifting.

Why AI search visibility matters now

Search behavior is changing. Brands need to think about discoverability at two levels.

Search is becoming answer-driven

Users increasingly expect direct answers, conversational results, and synthesized responses rather than only a page of blue links.

Visibility now has two levels

Whether a page can rank and be discovered through traditional search, and whether its information is clear and structured enough to be selected and reused by AI systems.

Content clarity is a ranking factor

If your content is not easy to interpret, not well structured, or not aligned to real question patterns, it becomes harder to surface consistently in both traditional and AI-assisted discovery.

Backed by a real measurement tool, not just an opinion

Through QueryArc, I built a controlled, multi-engine methodology that tests real buyer-intent prompts and measures whether a brand is included, recommended, or excluded — with repeatable runs and raw outputs behind every result, not a one-off spot check.

What I help companies with

AEO and GEO are not separate from SEO. They extend it. These are the main areas where I help.

Answer-ready content structure

I reshape service pages, comparison pages, FAQs, and supporting articles so the useful parts are easier to retrieve and quote. That usually means tighter headings, sharper definitions, stronger comparisons, and cleaner internal paths between the pages that carry commercial weight.

See what this work looks like

AI visibility measurement

Rather than guessing how a brand looks to AI engines, I test it with fixed prompt sets, repeat runs, competitor comparisons, and source-page review. QueryArc gives me the operating model, and the useful output is whether your brand is included, recommended, or absent across the buyer questions that matter.

Explore the AI visibility audit

Query and intent mapping

I map the questions buyers actually ask when they compare providers, research a problem, or test a category in AI-assisted search. That includes comparison prompts, category prompts, product-fit questions, and the source pages that should be earning those mentions.

Plan the supporting content

Content design for generative reuse

I help shape pages so they can survive summarization. That means stronger information hierarchy, clearer claims, support for the next question, and enough evidence on the page that a generated answer does not have to guess what your brand does or why it should be trusted.

Strengthen source pages

SEO foundations that support AI discovery

AEO and GEO work best when the technical and structural foundations are already sound. That includes indexable pages, clean heading structures, descriptive titles, internal links that show page relationships, and visible content that answers the obvious buyer questions without hiding the substance.

See technical SEO services

How I approach AEO and GEO

My approach is practical, not hype-driven.

01

I start with discoverability, not buzzwords

The goal is not to chase every new acronym. The goal is to improve how clearly a brand can be discovered, understood, and surfaced across modern search environments.

02

I treat AI visibility as an extension of strong SEO

Clear content structure, strong technical foundations, defined entities, and good information architecture still matter. AEO and GEO build on those fundamentals rather than replace them.

03

I focus on patterns observed in real outputs

My QueryArc work is based on analyzing AI-generated answers across platforms and identifying repeatable structural patterns related to selection, reuse, and answer quality.

04

I connect AI search work to real business goals

AEO and GEO only matter if they support discoverability, authority, trust, and business relevance. I look at these through the lens of user needs, search intent, and long-term organic growth.

Where AEO and GEO consulting can help most

This work is especially useful for:

SaaS companies

Better visibility for product comparisons, category terms, and solution-aware queries

eCommerce brands

Stronger discoverability for buying questions, product education, and comparison-led content

Content-led businesses

Large libraries that need stronger structure and better answer extraction

Thought leadership teams

Emerging topics where AI-generated answers can shape category perception

Future-proofing brands

Companies that want to future-proof SEO as search becomes more answer-driven and conversational

What this work is designed to improve

Depending on the engagement, AEO and GEO work can help improve:

  • Visibility in AI-generated and answer-driven search experiences
  • Content clarity and reuse potential
  • Question-led discoverability
  • Topical depth and entity understanding
  • Structured answers and FAQ relevance
  • Alignment between user intent and page design
  • Support for People Also Ask and other answer-oriented SERP features
  • Long-term readiness for conversational and generative search

Selected examples of relevant work

A few examples of the work that informs my AEO and GEO approach.

A built AI-visibility measurement tool, not just an audit template

QueryArc runs a controlled prompt set across multiple AI engines, three times per prompt, scored with fixed detection rules rather than manual judgment. It tests whether a brand is included, recommended, or excluded, and preserves the raw outputs so the conclusions are traceable, not just asserted.

Explore QueryArc

Intent-based keyword and content mapping

In strategy work, I've mapped keyword clusters to the user journey, prioritized high-intent themes, and planned content around search intent and conversational query behavior. That kind of work supports both stronger SEO performance and better answer alignment in modern search.

View the AI SEO case study

Structured optimization for answer-oriented visibility

My audit and optimization work has included improving headings, internal linking, metadata, content depth, FAQ-style structure, and schema recommendations. These same foundations help content become easier to understand and more likely to surface in answer-oriented environments.

View the technical audit service

How companies can work with me on AEO / GEO

I can support this work in a few different ways depending on what your team needs.

AEO / GEO strategy consulting

Best for teams that need senior-level direction on AI search visibility, answer readiness, and how AEO / GEO should connect to broader SEO strategy.

Content structure and page-level recommendations

Best for teams that want practical recommendations on how to improve headings, structure, question-answer flows, entity clarity, and reuse potential on important pages.

AI visibility audits

Best for brands that want an outside assessment of how prepared their site and content are for AI-generated answers and answer-driven discovery.

Embedded support for internal teams

Best for teams that want someone to work alongside content, SEO, or product stakeholders to improve answer readiness and AI search visibility over time.

Recruiter or hiring manager conversations

Best for teams exploring SEO leadership or AI-search-aware roles and wanting to understand how my work bridges traditional SEO with answer-engine visibility.

Why companies hire me for AEO and GEO consulting

Grounded in SEO, not detached from it

My AEO and GEO thinking is built on years of technical SEO, content strategy, and organic growth work across SaaS and eCommerce. That keeps the work practical and commercially relevant.

Focused on real AI search behavior

I'm not treating AI search as a branding trend. My recent work is based on analyzing real AI-generated answers and the structural patterns that influence reuse and selection.

Strong on structure and clarity

AEO and GEO depend heavily on how well information is organized. My technical SEO and content strategy background makes me strong in the details that affect interpretability and discoverability.

Useful for both current needs and future readiness

This work helps brands improve answer visibility now while also building stronger foundations for how search is likely to continue evolving.

Umair Salahuddin, independent SEO, AEO and GEO consultant

Written and delivered by Umair Salahuddin

Independent SEO, AEO & GEO consultant with hands-on ownership of organic growth for SaaS, eCommerce, and multilingual sites — and builder of QueryArc, an AI-visibility measurement methodology. No outsourcing, no junior handoffs: the person you talk to is the person who does the work. More about me · LinkedIn

AEO and GEO FAQs

Want to improve visibility in AI-generated answers and modern search?

Whether you need a clearer AEO / GEO strategy, stronger answer-ready content, or a more future-facing SEO approach, I'd be happy to talk.