Why Conversational Commerce Requires Reimagining and Reinvestment in Relationship Marketing
by Heather Burgess, Simpactful Senior Partner, Procter & Gamble and Amazon.com former executive
Relationship Marketing was once a cornerstone of disciplined brand building. Brand managers were trained to define their target WHO, understand the path to purchase, and build credentialing ecosystems around the brand. Tide partnered with appliance manufacturers, Colgate built relationships with dentists, and Pampers invested in hospital programs.
These weren’t vanity partnerships. They delivered authoritative endorsements, clinical and claimable credibility, sampling at scale, and new entry points into consideration.
Then the social media era reshaped the investment model. “Relationship Marketing” became synonymous with influencer spend. Brands pursued reach, engagement, and share of voice. They borrowed equity and reach from creators and popular brands to accelerate cultural relevance. Collaborations flourished – Keurig with designer brands, Stanley with Woolrich, Adidas with Liberty and Gucci. These strategies drove buzz. They drove discovery. They drove demand.
The Structural Shift: From Audience Signals to Authority Signals
Our Simpactful team has spent the past six weeks auditing ChatGPT, Gemini, and Claude to better understand how conversational commerce is changing the rules again. One pattern is becoming clear: When asked for product recommendations – particularly in health, beauty, and performance categories – these platforms frequently prioritize information from professional associations, medical organizations, and established publishers before brand-owned sites.
Why? AI platforms are building their own brand equity as trusted advisors. To generate repeat usage, they must minimize hallucination and maximize perceived objectivity. That means weighing consensus, institutional credibility, and third-party validation more heavily than promotional content.
Organically winning the algorithms of Social Media differs significantly from winning the Conversational AI algorithm (at least until paid sponsorships or ads are introduced):
If this holds true as conversational commerce scales, then influencer-heavy strategies alone will not be sufficient to win in the new Omnichannel.
A Combined Merchant and Marketer’s Perspective on the Shift
Mike Kernish, who trained in brand management at Procter & Gamble before running categories at Amazon for more than a decade, offers a critical lens: “In retail, it’s crucial to put yourself in the shopper’s shoes and walk the store. Today, brands need to ‘walk the model’ – and to recognize that each one might be different. If you ask generative AI for the best razor for acne-prone skin, it might pull from dermatological and professional sources before brand websites. That makes sense because AI platforms are optimizing for trust.”
What This Means for CPG Brands
The digital shelf has evolved again. It is no longer only a retailer-controlled shelf. It is an AI-mediated advisory shelf. To win in conversational commerce, brands must demonstrate trust across credible ecosystems and may need to rebuild capabilities in:
- Institutional Credentialing: Including professional endorsements, clinical validation, industry standards body relationships, and expert-backed claims.
- Knowledge Ecosystem Presence: Elevating authoritative publisher relationships, educational content partnerships, research citations, and category thought leadership.
- Structured Information Optimization: Claims substantiation and clarity, Retail PDP consistency, FAQ schemas, review ecosystem strength, and cross-platform consistency of product data.
Importantly, brands should not reject influencer marketing or brand collaborations. Those remain powerful for awareness, cultural relevance, and prevalence across social media.
How Simpactful Can Help with Relationship Marketing in the AI Era
Simpactful brings together practitioners who have sat on both the brand and retail sides of the desk who can quickly step in to support brand leaders with fractional resources or project-based support. Our team combines consumer and market research experts, brand strategists, and operators trained to define where to play and develop claim strategies. We have Amazon and eCommerce experts who understand algorithmic merchandising and PDP optimization, as well as Relationship Marketing Experts with experience in negotiating and building institutional partnerships.
We help brands:
- Audit how conversational AI platforms surface category recommendations
- Identify authority gaps versus competitors
- Develop credentialing strategies aligned with AI trust signals
- Build structured, cross-platform information consistency
- Establish and manage ecosystems
- Pilot and measure relationship-driven impact as conversational commerce scales
Conversational commerce is not simply another media channel. It requires a structural shift in how authority is mediated and how brands earn Share of Voice. Brands that reinvent and reinvest in Relationship Marketing – not as influence buying, but as credibility architecture – will be better positioned to win when AI becomes the first point of recommendation. In fact, this enhanced capability may become a strategic differentiator – especially in the early innings, as commerce algorithms are trained to understand which top brands convert.
Want to win in AI Commerce? Simpactful can help! Contact us today at contact@simpactful.com or 925-234-6394. Visit www.simpactful.com.
The Structural Shift: From Audience Signals to Authority Signals
Our Simpactful team has spent the past six weeks auditing ChatGPT, Gemini, and Claude to better understand how conversational commerce is changing the rules again. One pattern is becoming clear: When asked for product recommendations – particularly in health, beauty, and performance categories – these platforms frequently prioritize information from professional associations, medical organizations, and established publishers before brand-owned sites.
Why? AI platforms are building their own brand equity as trusted advisors. To generate repeat usage, they must minimize hallucination and maximize perceived objectivity. That means weighing consensus, institutional credibility, and third-party validation more heavily than promotional content.
Organically winning the algorithms of Social Media differs significantly from winning the Conversational AI algorithm (at least until paid sponsorships or ads are introduced):
If this holds true as conversational commerce scales, then influencer-heavy strategies alone will not be sufficient to win in the new Omnichannel.
A Combined Merchant and Marketer’s Perspective on the Shift
Mike Kernish, who trained in brand management at Procter & Gamble before running categories at Amazon for more than a decade, offers a critical lens: “In retail, it’s crucial to put yourself in the shopper’s shoes and walk the store. Today, brands need to ‘walk the model’ – and to recognize that each one might be different. If you ask generative AI for the best razor for acne-prone skin, it might pull from dermatological and professional sources before brand websites. That makes sense because AI platforms are optimizing for trust.”
What This Means for CPG Brands
The digital shelf has evolved again. It is no longer only a retailer-controlled shelf. It is an AI-mediated advisory shelf. To win in conversational commerce, brands must demonstrate trust across credible ecosystems and may need to rebuild capabilities in:
- Institutional Credentialing: Including professional endorsements, clinical validation, industry standards body relationships, and expert-backed claims.
- Knowledge Ecosystem Presence: Elevating authoritative publisher relationships, educational content partnerships, research citations, and category thought leadership.
- Structured Information Optimization: Claims substantiation and clarity, Retail PDP consistency, FAQ schemas, review ecosystem strength, and cross-platform consistency of product data.
Importantly, brands should not reject influencer marketing or brand collaborations. Those remain powerful for awareness, cultural relevance, and prevalence across social media.
How Simpactful Can Help with Relationship Marketing in the AI Era
Simpactful brings together practitioners who have sat on both the brand and retail sides of the desk who can quickly step in to support brand leaders with fractional resources or project-based support. Our team combines consumer and market research experts, brand strategists, and operators trained to define where to play and develop claim strategies. We have Amazon and eCommerce experts who understand algorithmic merchandising and PDP optimization, as well as Relationship Marketing Experts with experience in negotiating and building institutional partnerships.
We help brands:
- Audit how conversational AI platforms surface category recommendations
- Identify authority gaps versus competitors
- Develop credentialing strategies aligned with AI trust signals
- Build structured, cross-platform information consistency
- Establish and manage ecosystems
- Pilot and measure relationship-driven impact as conversational commerce scales
Conversational commerce is not simply another media channel. It requires a structural shift in how authority is mediated and how brands earn Share of Voice. Brands that reinvent and reinvest in Relationship Marketing – not as influence buying, but as credibility architecture – will be better positioned to win when AI becomes the first point of recommendation. In fact, this enhanced capability may become a strategic differentiator – especially in the early innings, as commerce algorithms are trained to understand which top brands convert.
Want to win in AI Commerce? Simpactful can help! Contact us today at contact@simpactful.com or 925-234-6394. Visit www.simpactful.com.
