Being the source an AI answer cites, not just a link on page one.

Classic SEO optimizes to rank a page in search results, driving a click to your site. AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization) optimize for AI systems (Google AI Overviews, ChatGPT, Perplexity) to extract and directly cite your content in a generated answer, which may or may not include a click through to your site, a fundamentally different success metric.

It's genuinely emerging, the client's own Google Keyword Planner data shows 'AEO services' search volume up 324% year-over-year and 'GEO agency' up 69%, real growth trends, not industry hype. It's early enough that best practices are still developing, which we're upfront about rather than overselling this as a mature, fully-proven discipline.

Based on publicly available guidance and observed patterns, AI systems favor content that directly and completely answers a specific question in clear, extractable language, backed by structured data (schema markup) that makes the question-and-answer relationship explicit rather than requiring the AI to infer it from unstructured prose.

No, citation decisions are made by systems we don't control, using criteria that aren't fully public and that continue to evolve. We optimize your content structure and technical markup to maximize extractability, which is the controllable part, but no agency can guarantee a specific AI system will choose to cite any given page.

It's related but more specific, the FAQ format is one part of it, but AEO/GEO also covers how every section of a page (not just a dedicated FAQ block) is structured, whether structured data marks up that content correctly, and whether claims are specific and extractable enough to be quoted directly rather than requiring interpretation.

No, classic SEO (technical crawlability, keyword targeting, backlink authority) remains foundational, and AEO/GEO builds on top of it rather than replacing it. A page that isn't properly indexed or technically sound won't be extractable by an AI answer engine regardless of how well-structured its content is.

This is genuinely harder to measure than classic SEO, since AI answer engines don't provide the equivalent of Search Console's ranking data, we monitor manually where checkable (searching target queries and noting whether your content is being cited) and track any referral traffic patterns that suggest AI-driven visits, being honest that measurement in this category is still maturing.

Sometimes, through a citation link, but often less directly than a classic search result click, this is a genuine tradeoff of this channel that we're upfront about rather than overselling. The value proposition is more about being the recognized, cited source in your category than a guaranteed traffic-driving mechanism.

Quickly, AI answer engines and their extraction behavior are actively evolving, which is part of why we frame this as an emerging discipline rather than a fixed, settled playbook. We apply the same specificity and structured-data standard behind our general SEO work here and adjust as observed patterns and platform documentation change.

Businesses in categories where buyers commonly ask research-style questions before purchasing (rather than typing a short commercial keyword) tend to see AI answer engines surface more in that research phase, making early AEO/GEO investment more valuable. We'd assess your specific category's search behavior before recommending this as a near-term priority over other services.

It's relevant regardless of scale, since AI answer engines are used by researchers and buyers in Nigeria the same as anywhere else, the underlying discipline (clear, extractable, well-structured answers) applies to a local service business's FAQ content just as much as a global brand's, though the volume of relevant queries will naturally differ by category.

Treating it as a checklist of adding an FAQ section without actually restructuring the answers to be direct and extractable, or without implementing the FAQPage schema that makes the structure machine-readable. Adding an FAQ block with vague, marketing-style answers doesn't meaningfully improve extractability, the answer's content and specificity matter as much as its placement.

Cost depends on how much existing content needs restructuring versus how much is being written fresh with this discipline built in from the start. We scope this after the extractability audit, since the amount of rework needed varies significantly based on how your existing content is currently structured.

Often it can be restructured rather than fully rewritten, moving the direct answer to the opening sentence of each section, adding schema markup, and sharpening vague claims into specific, extractable ones. A full rewrite is only necessary where the underlying content itself is thin or lacks the specificity needed regardless of structure.

It can be bundled with our general SEO service, since the underlying content and schema work overlaps significantly, or scoped as a standalone focus if AI-answer visibility specifically is your priority. We'll recommend based on your situation during scoping rather than defaulting to bundling everything into one larger package.

Ask how they measure success, since no Search Console equivalent exists yet for AI citation, an agency promising a guaranteed citation score is overstating what's actually measurable. Ask what they can honestly show you can check yourself.

We're a strong fit if you want answer-first content restructuring and real schema implementation, applied to our own site as proof, we're a weaker fit if you're expecting a guaranteed AI citation outcome, which nobody can honestly promise given how these systems actually work.