Independent AI SEO consultant — AEO & GEO
AI SEO consultant for visibility in ChatGPT, Perplexity, Gemini, and Google AI Overviews
Most "AI visibility audits" are a consultant's opinion about how your brand might look to an AI engine. I built QueryArc to actually test it — a controlled, multi-engine methodology that runs real buyer-intent prompts and measures whether a brand is included, recommended, or excluded, with the raw outputs to back it up. That measurement work grounds my AEO and GEO consulting: answer-ready content structure, technical clarity, and entity signals that help AI systems interpret and reuse what you publish.
Built on hands-on SEO experience across SaaS and eCommerce, plus original AI-visibility measurement work through QueryArc.
What AEO and GEO mean in practice
"AI SEO" gets confused with two different things, and it's worth separating them. One is using AI tools inside the SEO workflow — research, drafting, analysis. The other, what this page is actually about, is making sure your brand gets surfaced, recommended, and cited when someone asks ChatGPT, Perplexity, Gemini, or Google AI Overviews who to trust and what to choose. Traditional SEO is still important, but it is no longer the full picture: more users are discovering information through AI-generated answers and conversational interfaces where content is summarized, reused, and surfaced without relying only on the classic list of links.
That shift creates a new visibility challenge. It is no longer enough for content to rank. It also needs to be clear, structured, reusable, and easy for systems to interpret — and your brand needs to be positioned consistently enough across your own site and third-party sources that an AI system trusts it as a citable answer.
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 research into how AI search systems interpret web content. These are extensions of strong technical SEO and content strategy, not replacements for them — part of the same SEO consulting practice, extended to where discovery is heading.
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 help improve how content is organized so it is easier to interpret and reuse in answer-driven environments. That includes clearer headings, better question-response structures, tighter topic focus, stronger internal logic, and content written around real search intent rather than vague keyword stuffing.
Improve answer-ready content →AI visibility measurement
Rather than guessing how a brand looks to AI engines, I test it — running defined buyer-intent prompts across multiple AI engines, multiple times each, and scoring the results with fixed, repeatable rules. That methodology is built into QueryArc, and it's what tells you whether you're actually included, recommended, or excluded, and where competitors are winning instead.
See the QueryArc methodology →Query and intent mapping
I use query and intent thinking to help brands align content with the way users actually ask questions, compare options, and evaluate solutions. This includes conversational queries, long-tail intent, buyer-journey mapping, and question-led content planning that works across both search engines and AI interfaces.
Map AI search intent →Content design for generative reuse
I help shape pages so they are easier for AI systems to summarize, compare, and cite back consistently. That includes stronger information hierarchy, clearer definitions, better entity signals, supporting context, and content patterns that are more reusable in generative outputs.
Strengthen content structure →SEO foundations that support AI discovery
AEO and GEO work best when the technical and structural SEO foundations are already strong. That includes indexable pages, clean heading structures, descriptive titles, internal linking, FAQ markup where relevant, and content that answers common questions well.
See technical SEO services →How I approach AEO and GEO
My approach is practical, not hype-driven.
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.
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.
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.
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.
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.
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.
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.
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.