How is AI recommendation transforming brand awareness, AI search, and consumer purchasing decisions? What can brands do to improve their chances of being recommended by AI?
AI recommendation is changing how consumers discover, evaluate, and choose brands. As AI search platforms increasingly help users compare products, services, and solutions, businesses must think beyond traditional brand awareness.
In this podcast episode, Joanne Z. Tan, global brand strategist and founder of 10 Plus Brand, Inc. and AIXD.world, explores the growing influence of AI recommendation on brand discovery, consumer trust, and purchasing decisions.
According to a 2026 Adobe report, AI-referred traffic to U.S. retail websites grew 393% year over year in the first quarter of 2026. In March 2026, AI-referred visitors converted 42% better than visitors from non-AI sources.
These findings underscore the growing importance of AI referral traffic and AI search in the customer journey. They also raise a critical question: Is your brand merely visible to AI, or is it compelling enough to be recommended?
AI Recommendation vs. AI Search Visibility: Why the Difference Matters
AI search platforms can help consumers discover brands, compare alternatives, and narrow their choices. AI recommendation goes further by presenting products or service providers that may best match a user’s specific needs.
But being visible in AI search is not the same as being recommended by AI.
For business owners, founders, executives, and brand leaders, this distinction creates both opportunities and challenges. A recognizable brand may still be overlooked if AI systems cannot access, interpret, or identify relevant information about its offerings.
In this episode, discover:
- Why brand awareness remains foundational in the age of AI search and AI recommendation
- How AI recommendation influences brand consideration and consumer choice
- The difference between AI search visibility and being recommended by AI
- How brand identity, differentiation, and executive thought leadership build credibility
- Why high-quality content, SEO, and AI-accessible websites matter
- How AI-referred website traffic can contribute to qualified leads and conversions
- How to monitor brand mentions, AI recommendation frequency, and referral performance
How to Improve AI Recommendation Through Brand Awareness, Trust, and Differentiation
A distinctive brand identity, authentic values, credible expertise, and high-quality thought leadership help consumers understand why a brand deserves consideration. They also provide information that AI platforms may use when evaluating relevant options.
Joanne discusses three foundational practices for building brand awareness:
- Own your brand identity. Define your purpose, values, target audience, and unique value proposition.
- Create high-quality content. Publish original, useful thought leadership that demonstrates expertise and addresses audience needs.
- Build engagement and community. Strengthen relationships through meaningful social media interaction, audience participation, and credible third-party feedback.
These practices support long-term brand trust and differentiation while helping brands communicate their value in an AI-driven marketplace.
AI Recommendation Strategies: From Being Found to Being Chosen
To improve AI search visibility and the potential for AI recommendation, brands should also focus on technical accessibility, content clarity, and performance measurement.
Joanne explores four practical strategies:
- Make your website accessible to relevant AI crawlers. Maintain appropriate crawler permissions, clear website architecture, and an XML sitemap.
- Make your content AI-friendly. Use descriptive headings, accurate product and service information, relevant keywords, and appropriate structured data.
- Monitor AI-generated responses. Examine how AI platforms describe your brand, which competitors they recommend, and whether the information is accurate.
- Measure meaningful outcomes. Track AI recommendation frequency, brand mentions, AI-referred traffic, qualified inquiries, and conversions.
AI recommendations are not endorsements or guarantees of quality. They depend on user intent, available information, and how individual AI systems evaluate relevance.
Nevertheless, brands that communicate their unique value clearly and consistently are better positioned to compete for attention and consideration.
The ultimate goal is not simply to be found by AI, but to give both AI platforms and human consumers compelling reasons to choose your brand.
The brands that stand out will not simply be the ones that are found. They will be the ones that are remembered, trusted, and recommended.
Read More and Connect With AIXD.world and 10 Plus Brand
– Read the full blog article
– Watch the 17-minute video
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About Joanne Z. Tan, 10 Plus Brand, Inc. and AIXD.world
Joanne Z. Tan is a global brand strategist, thought leadership coach, and founder of 10 Plus Brand, Inc. and its subsidiary AIXD.world. She advises leaders, founders, executives, board members, and organizations on building influential, differentiated brands that drive visibility, credibility, and revenue growth.
Her work integrates strategic positioning, AI Native Brand Architecture™, and executive thought leadership to help leaders and the organizations they lead become recognized authorities in their industries.
AIXD (AI Experience Design) is a global platform and community focused on advancing human-centered artificial intelligence. Through thought leadership, collaboration, and strategic dialogue, AIXD aims to shape the future of AI with impact, innovation, humanity, and integrity.
© Joanne Z. Tan, 2026. All rights reserved.