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Marie Haynes: Build Google Search Apps, Don't Just Chase GEO
Search consultant Marie Haynes is urging marketers to look past speculative Generative Engine Optimization (GEO) tactics and focus on interactive Google Search apps instead. With Google currently piloting functional app experiences inside its US English AI Mode, direct in-search integrations may soon redefine how businesses capture intent and convert searchers.
Key Highlights
- ✓Marie Haynes recommends businesses explore building Google Search apps rather than chasing speculative GEO tactics.
- ✓Google Search apps are currently limited to the US English AI Mode, featuring just five early partner apps.
- ✓Google's John Mueller confirmed excitement about the feature, though ranking and selection mechanics remain undisclosed.
- ✓The trend indicates AI search is moving from passive text answers toward interactive, transactional task execution.
What Happened
For months, digital marketing discussions have revolved around Generative Engine Optimization (GEO)—the push to get brand content cited, synthesized, and recommended by systems like Google AI Overviews, Perplexity, and ChatGPT. Search consultant Marie Haynes, however, is pointing business owners toward a different horizon: building dedicated Google Search apps.
Rather than spending endless resources trying to reverse-engineer AI summaries, Haynes suggests that interactive search applications could bypass traditional organic ranking battles altogether. By embedding functional software directly into the search results page, brands can offer instantaneous utility, facilitate direct transactions, and solve problems at the precise moment a user asks for help.
Google Search Advocate John Mueller has publicly expressed enthusiasm for the concept, though Google has yet to publish documentation explaining how algorithms choose or rank one app over another.
Key Details: The Emergence of Google Search Apps
Interactive software inside Google Search remains in an exploratory phase, but the underlying direction is evident. Key parameters of the current rollout include:
- Exclusive to US English AI Mode: Searchers can only encounter these interactive integrations within Google's experimental US English AI Mode, where conversational answers merge with software widgets.
- Only Five Apps Live So Far: Google is keeping this initial pilot tightly curated, with just five partner applications currently surfaced in the ecosystem.
- No Stated Selection Criteria: The search engine has not shared ranking signals, inclusion benchmarks, or developer guidelines detailing how it decides which app answers a given prompt.
- Strong Internal Support: Remarks from Google figures like John Mueller reflect deliberate internal interest in connecting users to actionable software, moving beyond passive blue links and plain text summaries.
This early phase mirrors the initial rollouts of mobile app marketplaces: a restricted proving ground that rewards early architectural preparation before broad commercial adoption sets in.
What It Means For Your Business
If you manage a local service, a consultancy, or an expanding e-commerce operation, building a bespoke Google Search app today is probably premature for your budget. Still, Haynes' analysis highlights three practical strategic adjustments worth making now:
1. Shift from Information to Direct Action
Standard SEO focuses on addressing informational queries with long-form articles. Conversational AI, by contrast, leans toward immediate task completion. When a homeowner searches for an emergency plumber, an embedded scheduling interface delivers far more utility than an 800-word blog post about pipe maintenance. Consider how your company might turn core customer actions into modular tools, whether that means real-time booking, instant estimates, or interactive quote builders.
2. Don't Abandon AI Citations, But Ground Them in Structure
Haynes cautions against speculative GEO gimmicks, yet earning citations across Gemini, Perplexity, and ChatGPT remains valuable. Fortunately, effective AI visibility and search app readiness rely on the same bedrock: structured, machine-readable data. Keep your Schema markup, inventory feeds, and backend APIs clean and accessible. Once Google broadens app integrations, businesses with organized data and functional API endpoints will adapt far faster than competitors relying solely on static copy.
3. Prepare for Platform-Specific Integration
The AI search landscape is separating into distinct environments. ChatGPT leverages Custom GPTs and browsing extensions, Perplexity emphasizes real-time citations, and Google is gradually turning Search into an operating layer for everyday tasks. Protect your core fundamentals—authoritative local profiles, verified reviews, and consistent industry citations—while monitoring developer channels for your chance to connect directly into Google's evolving AI surface.
If Google expands AI Mode into other languages and regions, expect native search apps to evolve into an influential customer acquisition channel.
Why This Matters For Your Business
The transition from informational search results to actionable interfaces marks a critical evolution for business owners. When generative engines simply output paragraphs of synthesized text, brands must jostle just to earn a footnote link. Native in-search applications change the equation entirely: visibility turns directly into customer conversion, letting prospective buyers book services, calculate estimates, or place orders without ever leaving Google. While developing custom search apps is out of reach for most small teams right now, understanding where Google is heading keeps you from wasting marketing dollars on short-lived 'GEO tricks.' Effort is far better spent modernizing your digital infrastructure, maintaining clean structured data feeds, and organizing your services so both human users and AI agents can interact with them seamlessly. Long-term visibility in the AI era demands authority on one hand and utility on the other. Companies that structure their operations to plug smoothly into emerging search platforms will hold a clear advantage as conversational discovery matures.
Frequently Asked Questions
What is the difference between GEO and building Google Search apps?
Generative Engine Optimization (GEO) involves tailoring web content so generative models summarize and cite your website in text responses. Google Search apps, by contrast, are interactive tools embedded right in the search interface, enabling users to complete practical tasks like scheduling or purchasing immediately.
Can any small business launch a Google Search app right now?
Not at this stage. Google Search apps are limited to an experimental test in US English AI Mode, featuring just five select partner apps. Google has not yet introduced an open submission portal or public documentation on how apps are chosen.
Should my business stop doing traditional SEO and GEO?
No. Sound SEO practices, structured Schema markup, customer reviews, and visible citations across AI answer platforms remain critical. Marie Haynes' guidance is simply a caution against chasing unproven, short-term AI optimization tricks at the expense of functional utility and solid digital infrastructure.
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