AEO & GEO
Win AI powered search.
Earn visibility in ChatGPT, Perplexity, and Google AI Overviews before your competitors get there.
Answer engine optimization, usually shortened to AEO, is the practice of getting your content cited inside AI generated answers. Generative engine optimization, or GEO, is the same idea applied to generative search products specifically. Both matter now because a growing share of searches end without a click: the user asks, the assistant answers, and no website gets visited. If your brand is not inside that answer, you are invisible regardless of where you rank.
What is the difference between SEO, AEO, and GEO?
SEO earns a ranked position in a list of results. AEO earns a place inside a direct answer, whether that is a featured snippet, a voice assistant response, or a chatbot reply. GEO is AEO applied to generative systems such as ChatGPT, Perplexity, Claude, and Google AI Overviews. The practical difference is that ranking first is no longer sufficient. An AI system can read your page, synthesize an answer, and credit a competitor if their content is structured more clearly than yours.
How do you get cited by ChatGPT or Perplexity?
Four things move the needle. First, answer the question in the first two sentences of the section rather than building up to it. Second, use headings phrased the way people actually ask, since retrieval systems match on question shape. Third, publish specifics that can be quoted: numbers, dates, named methods, and defined terms. Fourth, make sure your brand exists as a recognized entity, with consistent naming, structured data, and mentions on sites the models already trust. Vague, hedged writing does not get cited because there is nothing quotable in it.
Can AI visibility actually be measured?
Yes, though not with the precision of traditional rank tracking. We run a fixed panel of prompts across the major assistants on a set schedule and record whether your brand appears, in what context, and alongside which competitors. That produces a trend line over time rather than a single number. We also track referral traffic from AI sources in analytics, which is growing as a share of sessions for most clients but still small compared with classic organic search.
Is it worth investing in this now?
The argument for moving early is that citation patterns are sticky. Once a model or its retrieval layer treats your site as a reliable source for a topic, that position tends to persist and reinforce itself. The argument for waiting is that the space is unsettled and best practices are still forming. Our position is that the work overlaps heavily with good SEO anyway, so the marginal cost of doing it now is low and the option value is high.
Everything in the AEO & GEO package.
What US clients say.
“Wigital took our online store from 180,000 a month to just over 1.4 million in under a year. The SEO and content working together is what did it, not one or the other.”
“Our cost per lead on Google Ads dropped 60 percent while volume tripled. They found budget being wasted on searches we could never win and moved it somewhere useful.”
“The site they built is genuinely fast and it converts. Bounce rate fell 40 percent and sales were up 180 percent in the first quarter after launch.”
AEO & GEO questions, answered.
No. Classic search still drives the large majority of traffic for nearly every client we work with. AEO is an additional surface, not a replacement, and the two share most of the same underlying work.
It varies widely by model and topic. Some systems reflect new content within weeks, others lag by months because of how often their retrieval indexes refresh. We report on it monthly rather than promising a date.
Usually not different content, but differently structured content. The same expertise, reorganized so the answer comes first and the supporting detail follows, performs better in both classic and AI search.