For decades, "just Google it" was the default for any product research question. In 2026, a growing number of consumers are saying "just ask ChatGPT" instead. This behavioral shift has massive implications for how brands think about discoverability.
The Behavioral Split
Consumer product research now follows two distinct patterns:
The Google path: Search a keyword, scan the results page, click on several links, read reviews on multiple sites, compare options, and eventually make a decision. This path is information-rich but time-intensive.
The ChatGPT path: Ask a natural language question ("What's the best standing desk for a home office under $800?"), get a direct recommendation with reasoning, maybe ask a follow-up question, and proceed to purchase. This path is faster and feels more personalized.
Neither path is "better" — but they lead to very different brand discovery experiences.
Who Uses Which, and When
The choice between Google and AI for product research isn't binary. Many consumers use both, but at different stages:
- Initial exploration: AI is increasingly the first stop. "What should I look for in a..." type questions get asked to ChatGPT before any Google search.
- Shortlist creation: AI excels here. Users ask for recommendations and get an instant shortlist of 3-5 options, replacing the "top 10 best..." Google search.
- Deep comparison: Many users still turn to Google for detailed comparisons, reading individual reviews and comparing spec sheets.
- Price and availability: Google (especially Google Shopping) remains dominant for actual purchasing, pricing, and availability checks.
What This Means for Brand Discovery
The shift creates a new challenge: if AI creates the shortlist and Google helps finalize the choice, you need to be visible in both channels. Being on page one of Google no longer guarantees you make the initial shortlist — because that shortlist may be generated by ChatGPT before the user ever opens a browser.
How AI Recommendations Differ from Google Results
Understanding the differences helps you optimize for both:
Authority vs. Relevance: Google ranks pages based on relevance to the query and page authority. AI recommends brands based on accumulated reputation and training data patterns. You can rank on Google with good SEO even if you're a lesser-known brand. Getting recommended by AI typically requires broader market recognition.
Paid vs. Organic: Google blends paid ads with organic results — you can buy visibility. AI recommendations are purely organic. There's no way to pay for a ChatGPT recommendation (yet).
Multiple results vs. Single answer: Google shows 10+ results per page, giving many brands a chance to be seen. AI typically recommends 3-5 brands in a single response. The competition for these limited slots is intense.
Dynamic vs. Static: Google results change in real-time based on algorithm updates and new content. AI recommendations change only when models are retrained or updated, making them more stable but slower to reflect changes in the market.
Strategies for Dual-Channel Visibility
Foundation: Build Genuine Brand Authority
The good news is that genuine brand authority helps in both channels. Authoritative content, positive reviews, media coverage, and community trust improve both your Google rankings and your AI visibility.
Google-Specific: Maintain Technical SEO
Keep investing in technical SEO, keyword optimization, and link building. Google remains the larger channel and drives direct traffic to your site.
AI-Specific: Build AI-Visible Brand Signals
Invest in the signals that AI models weight heavily: review volume on major platforms, community discussions on Reddit and forums, authoritative third-party mentions, and consistent brand positioning. Use Anchor to monitor your AI visibility alongside your traditional SEO metrics.
Content: Write for Both
Create content that serves dual purposes. Comprehensive, authoritative content with proper SEO optimization helps you rank on Google AND builds the kind of brand signals that improve AI recommendations.
The Convergence Ahead
Google itself is blending AI into search results through Gemini. The distinction between "Google search" and "AI search" is blurring. Brands that master both traditional SEO and AI visibility will be best positioned as these channels continue to converge.
The action item is clear: measure and optimize for both channels. Don't abandon Google SEO, but don't ignore AI visibility either. The brands that succeed in 2026 and beyond are those that show up wherever their customers are looking.