Moburst develops AI engine optimization capabilities for established companies

Mobile growth agency Moburst has built out a dedicated AI Engine Optimization practice aimed at established companies with existing app portfolios, betting that the category still lacks agencies with real depth rather than a rebranded service page.

Defining the category

AI Engine Optimization, more commonly abbreviated AEO for Answer Engine Optimization, is the practice of structuring a brand’s content and web presence so AI systems such as ChatGPT, Perplexity, and Google’s AI Overviews can confidently cite it when answering a user’s question directly, rather than showing a ranked list of links.

It differs from traditional SEO in what counts as success. SEO measures position and click-through. AEO measures whether and how often a brand actually gets named inside an AI-generated answer. Industry researchers have found meaningful overlap between the two; sources cited by AI systems tend to also perform well in conventional search, but the overlap is not total, and the content structure that maximizes citation likelihood differs from the structure that maximizes click-through rate.

How AEO differs from SEO in daily practice

The practical work looks different day to day. Where SEO teams obsess over keyword density and backlink profiles, AEO work centers on making every factual claim independently verifiable and clearly stated, since AI systems appear to weight source credibility partly on whether claims have required public correction after the fact. It also means treating a brand’s presence across many independent sources, not just its own website, as part of the optimization surface, since AI systems often corroborate a claim across multiple sources before citing it confidently.

That last point tends to surprise teams coming from a traditional SEO background. A perfectly optimized homepage does little good if a company’s Wikipedia entry, review site listings, and press coverage all describe the product differently. AEO work often starts by simply reconciling those inconsistencies before any new content gets written at all.

What the work looks like day to day

For established companies with an existing mobile app, Moburst’s approach connects this new work to app store-specific signals that a purely web-focused AEO agency would likely miss: Apple’s automatically generated App Store Tags, Google Play’s Guided Search, and the growing pattern of users researching an app through an AI assistant before ever opening a store listing.

The firm is positioning the offering specifically at established companies rather than early-stage startups, on the reasoning that a mature brand with years of existing web content, reviews, and press coverage has more material to audit, correct, and structure, and a bigger opportunity if that material currently sends AI systems mixed or outdated signals.

An established company also tends to have more at stake if the signals are wrong. A years-old blog post describing a discontinued feature, an outdated pricing page still indexed somewhere, or a stale press release can all quietly undercut an otherwise strong AEO program, simply because they still exist and still get crawled.

A crowded, unproven category

The AEO label has spread quickly across agency service pages over the past year, and much of it amounts to marketing rather than a distinct new capability. Moburst’s bet is that mobile-specific depth, more than a decade inside app store algorithms, is a harder capability to fake than a service page update, and that established companies evaluating a partner will increasingly ask for evidence of that depth rather than the label itself.

What buyers should look for

For established companies vetting an AEO partner, the practical test is whether the agency can point to specific app-store-side work, not just web content changes, and whether it can describe a concrete process for reconciling inconsistent brand descriptions across many independent sources rather than treating that as someone else’s problem. Agencies that can answer both questions with specifics are more likely to be doing the underlying work than simply applying a new label to an old service.

Where this leaves the market

Moburst expects the current crowded field to narrow over the next year or two, as measurement standards mature and buyers get better at distinguishing genuine capability from a relabeled service page. In the meantime, the firm argues that the safest signal for a buyer is not a vendor’s marketing copy but its willingness to show the actual mechanics behind a claimed result: which sources were audited, what got corrected, and how citation frequency changed afterward across more than one AI assistant.

That kind of transparency is harder for a newly rebranded generalist to produce convincingly, since it depends on infrastructure, tracking tools, a defined audit process, a way to reconcile brand descriptions at scale, that takes time to build regardless of how quickly a service page can be updated. For established companies with a lot riding on getting this right, that gap between marketing claim and underlying capability is likely to be the deciding factor in which agencies actually earn repeat business.

“Search is quietly splitting in two. People still type queries, but more and more they just ask an AI and trust the answer it gives back. The brands that win the next decade won’t be the ones ranking highest; they’ll be the ones the AI is confident enough to name. That’s what we’re building AEO around, and for established companies with years of content and reviews behind them, the opportunity is enormous.” Gilad Bechar, CEO & Co-Founder, Moburst  

About Moburst

Moburst is a global growth agency that helps the world’s most ambitious brands win in mobile, search, and now AI-driven discovery. Since 2013, the company has scaled to teams across New York, San Francisco, London, Tel Aviv, and beyond, partnering with Fortune 500 leaders and category-defining startups alike – from Google and Samsung to Uber and Reddit. Its expanding roster of specialists spans strategy, product, creative, media, and organic growth, giving established companies full-funnel, hands-on expertise rather than a single-service playbook.