Is AI Reshaping the Customer Buying Journey?

Google was an extraordinary change for brands to be discovered and support research during the buying process over the years. However, AI Search will be revolutionary compared to what Google did to the purchase process.  

AI search tools like ChatGPT, Grok, Copilot, Claude, Perplexity and Gemini are becoming a more efficient way for B2C buyers to follow a shorter purchase path. In B2B buying, brands now have a new member of the buying committee to address. AI is already changing the way decision-making is shifting. 

Here are several ways that AI tools are being used by your consumer and what it means for your brand:   
 

1. AI as the Researcher 

Before a consumer ever joins a call, sits through a demo, or reads a case study, buyers are asking AI for the shortlist of brand options. 

Examples:  

• Shortlist products, services or firms 
• Summarize vendors’ strengths and weaknesses 
• Results could be tailored to the consumer’s preferences, based on search history 
• Compare products side by side 
• Summarize ratings and reviews from other buyers 
• Write RFP outlines 

The AI research summary now becomes the first filter in the buying process. This is not completely dissimilar to how we looked at Google’s impact for the past 20 years, but the list is much shorter, and it is just the beginning of the impact.  

The implication for you: 
If your brand isn’t mentioned in AI responses or lacks clear, structured and high-quality web content, you may never make it into the shortlist. 

 

2. AI used as the Consensus Builder 

For expensive consumer purchases (cars, vacations, etc.) and general B2B buying, having multiple people involved has typically led to misalignment. Now, teams (whether it’s spouses for a car purchase or the c-suite for software) are using AI to synthesize different stakeholder priorities (finance, ops, marketing) into a single summary or pros/cons list. 

Examples:  

• A head of Operations might ask, “Summarize the top 3 ERP vendors that meet IT’s security needs and finance’s reporting requirements.” 
• A family might ask to help “Find a vacation spot that is both kid-friendly and has options for the adults, that sticks to Dad’s budget and the family's sense of adventure.” 

AI helps reconcile perspectives, effectively acting like a neutral facilitator in early-stage alignment. 

The implication for you: 
Brands must communicate in ways that appeal to multiple stakeholders simultaneously and not just one buyer persona. This needs to be done through your owned content and any third-party sources that AI search engines crawl for external validation.  

 

3. AI as the Content Curator 

A consumer used to have to spend time reviewing the traditional Google “10 blue links” that appeared for a query when researching a purchase decision. Now, buyers are prompting AI tools to instantly digest, summarize and evaluate content related to their decision. 

Examples: 

• “Summarize the ROI claims from these three vendor case studies.” 
• “What are the most common customer complaints about Product X?” 
• “Review these 3 options and supply me with the strengths and weaknesses of each brand.” 

 AI becomes a content gatekeeper, deciding what parts of your marketing materials get seen or ignored. 

The implication for you: 
If your content isn’t structured clearly, AI might misinterpret or omit your strongest proof points. Content must be AI-readable, not just human-readable, which is why understanding AEO is mission critical. 

 

4. AI as the Reputation Reporter 

AI tools pull insights from across the web, such as reviews, social media content, press stories, ratings and mentions in forums, to report on brand reputations in real time. 

Examples:  

• “What’s the general rating of XYZ brand satisfaction?” 
• “What do customers say about XYZ brand and how it handles (fill in the blank)” 

These AI tools scour multiple sources and deliver their measure of perception, whether it is accurate or not. If Yelp reviews from frustrated customers bugged you, wait until you see what AI finds in every corner of the web.  

The implication for you: 
Your digital footprint (reviews, quotes, social, earned media) now feeds directly into what buyers see through AI summaries, not just search rankings. 

 

5. AI as the Purchase Advisor 

Toward the end of the funnel, AI can analyze pricing models, contract language and purchase risks. 

Examples: 

• “Compare the hidden costs of Vendor A vs. Vendor B” 
• “Draft negotiation points for this type of contract” 

This turns the AI into a deal-stage consultant for your customer, potentially reshaping how negotiations and final decisions are made. 

The implication for you: 
Brands must make pricing and other buying details more transparent, or risk losing deals to AI-informed buyers. 

AI has officially stepped into the role of researcher, reviewer and advisor in your customer’s buying process. To stay competitive, brands must create content that’s discoverable and credible across every channel consumers and AI tools rely on. For a full breakdown of how to adapt your strategy, explore the thunder::tech AI Hub. 

thunder::tech partners with organizations to modernize their content strategy, optimize for AI search and ensure your brand shows up with authority wherever buyers look. Reach out to get started.