Definition

What is AEO (Answer Engine Optimization)?

AEO (Answer Engine Optimization) is the practice of shaping how AI systems — ChatGPT, Google AI Overviews, Perplexity and similar tools — understand, trust and cite a business when generating a direct answer or recommendation, rather than a ranked list of links to click through. By Sadiq Dantanko, Founder of Dala Forge. Published September 2026.

AEO vs SEO

Related, not interchangeable.

SEO and AEO both depend on a technically sound, well-structured website — but they optimize for a different outcome and are judged by different signals.

DimensionSEOAEO
GoalRank in a search results listBe understood, trusted and cited in a generated answer
Output for the userA list of links to evaluate and clickA direct answer or recommendation, often with no click at all
Primary signalKeywords, backlinks, technical crawlabilityEntity clarity, independent evidence, structured data, consistency
Success is measured byRankings, clicks, trafficWhether AI systems mention, cite or recommend you, and what they say about you
Questions prioritisedHigh-volume keywordsQuestions with buying intent: buy and book, price and cost, “best” and shortlist, comparisons and alternatives, local and “near me”, trust checks, fit and eligibility, contact details, switching, and business-buyer queries
Where the work happensYour websiteYour website plus the places AI systems draw from: directories, third-party profiles, reviews, structured content
StabilityOne dominant engine, relatively stable rulesMany AI systems that differ and change often, so we measure repeatedly
ControlYou influence rankingsEarned system by system. The aim is to get you recommended: we measure each system, place your content where it is most likely to be found, in the formats it uses most, and re-measure
Example query"real estate agency Abuja""which real estate agency in Abuja should I use"
AI Recommendation Intelligence

What is AI Recommendation Intelligence?

AI Recommendation Intelligence is Dala Forge's term for the discipline of understanding and improving how a specific business is represented, trusted and recommended by AI systems — not just whether it is visible, but whether it is the answer. AEO describes the general practice; AI Recommendation Intelligence is the more specific lens Dala Forge applies to it: measuring representation across individual AI systems separately (since they don't cite the same sources), tracking it over time rather than as a one-time snapshot, and treating a business's actual evidence — not just its own claims — as the input that determines whether it gets recommended. If you are an Abuja business, see how Dala Forge puts this into practice.

Why now

The gap most businesses have not closed yet.

AI-assisted search is already part of how people research products, services and businesses — and adoption is moving faster than most businesses' digital presence is keeping up with. See the sourced numbers behind this in our research on AI adoption in Nigeria and AI-driven web traffic. A business can be well-known and well-regarded and still be functionally invisible to a system that has nothing independently verifiable to draw on. Being early to address this is the actual opportunity: the businesses that shape their AI representation now are more likely to be the ones AI systems default to citing later.

How it works

AEO is built on evidence, not tricks.

There is no way to directly pay for a citation or manipulate an AI system into recommending a business it cannot verify. AEO works by closing the actual gaps — inconsistent business information, missing structured data, thin or unsupported claims, weak independent evidence — that make a business hard for AI systems to understand and trust. Dala Forge's full framework for this is documented on the Methodology page.

Your reputation already exists.

The question is whether the systems helping your customers decide can understand it.