Build Google Search Apps Instead of Chasing GEO, Says Marie Haynes

What Happened

Search marketing veteran Marie Haynes has delivered a sharp reality check to digital marketers and business owners: stop pouring budget into speculative Generative Engine Optimization (GEO) tricks and start paying attention to Google Search apps.

Analyzing the steady evolution of Google's conversational search, Haynes pointed out that Google has already started embedding interactive web applications directly into search experiences. Rather than trying to game large language models with synthetic citation tactics, Haynes suggests that building functional software experiences inside Google’s AI features could become the defining frontier of search visibility.

While Google Search Advocate John Mueller has expressed genuine excitement about the potential of Search apps, Google has made clear that the rollout remains experimental. For now, it is restricted to US English AI Mode queries and features just five recognized apps.

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Key Details

To understand why this perspective is turning heads across search marketing, business owners should consider a few critical points:

• A Nascent Search Surface: Search apps currently appear only in US English conversational queries within Google's AI Mode. To date, Google has surfaced just five third-party applications in this format.
• No Official Selection Guidelines Yet: Google has yet to release documentation detailing how its algorithms choose which app to display for a query. Even so, Google representatives—including John Mueller—have voiced clear enthusiasm for where the feature is heading.
• The Limits of Speculative GEO: Over the past year, an influx of "GEO" agencies have promised secret formulas to guarantee brand mentions across ChatGPT, Perplexity, and Google AI Overviews. Haynes compares much of this rush to early-2000s link schemes: inherently fragile, highly speculative, and vulnerable to breaking every time an underlying model updates.
• The Shift Toward Computational Search: As search engines transform into direct-answer engines, text synthesis is only the starting point—they ultimately need to execute actions. Developing lightweight tools, calculators, and direct API integrations helps businesses capture intent when a wall of text simply won't cut it.

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What It Means For Your Business

If you operate a local business, professional practice, or growing e-commerce brand, you might wonder whether ranking on Google now requires a dedicated engineering department. The short answer: not right now, but your long-term strategy needs to adjust.

Here is how small and mid-sized business owners should approach this shift:

1. Differentiate Between Real Authority and GEO Gimmicks

Plenty of businesses are pouring money into unproven GEO packages claiming guaranteed placement in AI summaries. In reality, AI platforms look for consistent entity data, reliable brand signals, and authentic third-party validation. Haynes’s perspective offers a timely reminder: anchor your strategy in credible digital authority rather than attempting to reverse-engineer prompt algorithms.

2. Transition from Content Provider to Solution Provider

Google’s interest in embedded apps underscores a fundamental shift across AI search: users are hunting for solutions, not just reading material. If your site offers only generic blog posts describing a challenge, an AI model can summarize that text in seconds without delivering a click. Offer an interactive quote calculator, an instant booking widget, an inventory lookup, or a diagnostic tool instead, and search engines have a practical reason to feature your brand.

3. Prepare Your Data for Machine Execution

Even if building a native Google Search app is not on your immediate roadmap, you can take concrete steps today to make your business data easily readable by automated systems:

• Implement Robust Schema Markup: Add Action, Service, ReserveAction, and product schemas so search agents understand what your business actually does, not just what it writes about.
• Structure Your APIs: Prepare scheduling tools, product feeds, and pricing data so third-party platforms and conversational agents can integrate with them smoothly down the line.
• Deploy Micro-Tools on Your Site: Simple on-site utilities—such as mortgage calculators, project cost estimators, or scheduling widgets—create functional assets that AI models can point users toward.

Tomorrow’s search engine looks less like a list of blue links and more like an interactive operating system. When the novelty of conversational text wears off, businesses providing tangible utility will be the ones that endure.