Key Learnings
- Discovery has become conversational: Buyers increasingly rely on large language models (LLMs) to conduct research before reaching a brand’s website. Once on-site, their queries are longer, more contextual, and more natural. Traditional keyword‑based search now creates unnecessary friction and conversion loss. Intent recognition must happen at the edge, right where customers begin their journey.
- SEO’s influence is diminishing: Pre‑purchase research is migrating off‑platform, disrupting traditional attribution and reducing organic visibility. The first on‑site interaction must therefore deliver high‑quality, contextually relevant answers and guided pathways immediately.
- Agentic commerce is here: Multi‑agent architectures are set to drive end‑to‑end workflows across the customer lifecycle. Competitive differentiation will hinge on interoperability and orchestration, not on isolated AI tools.
- Data remains the ultimate differentiator: Siloed and shallow product data undermines AI’s effectiveness. Rich, unified, and descriptive data, supported by strong imagery, is now essential. Elevated data quality directly translates into improved responses, stronger experiences, and higher conversion value.
- User experience is now multimodal: Conversational results should appear within the main view, seamlessly merged with visual elements. Text, voice, and vision must operate in concert, ensuring the shopper maintains full context throughout the journey.
- Change management is the true challenge: Teams often perceive AI as a replacement rather than an accelerator. Leadership must position AI as augmentation, tools that give time back for insight and strategy. Effectively linking AI adoption to measurable ROI and self‑funding efficiencies accelerates buy‑in.
How This Maps to Rezolve Ai
- Capturing conversational demand through Brain Commerce. We’re advancing semantic, intent-based discovery to offset SEO erosion and engage high-intent visitors from their first touchpoint.
- Orchestrating journeys with the Brain Suite. Our platform integrates seamlessly across existing stacks to coordinate intelligent agents from search through one-click conversion using Brain Checkout. Orchestration, not individual features, defines the competitive edge.
- Turning data into intelligent outcomes. We ingest, normalise, and vectorise product data to power hybrid search (keyword expansion plus vectors), delivering precise, human-like responses. With Visual Search and Sensory AI Commerce, shoppers move fluidly between text, voice, and vision.
- Blending in as an add-on. Not replacing search (yet!). We surface the assistant where it converts without disrupting current journeys: docked panel (desktop) or bottom sheet (mobile); embedded in the search bar, PLP tiles, or PDP content; or as a sticky helper. Smart triggers (on click, keyword/intent, post–add-to-bag) with frequency capping, graceful handoff to native search, and full merch/governance controls in Brain Studio. A/B placement by page type; tune over time.
- Protecting brand integrity at scale. Brainpowa, our retail-tuned LLM, prioritises reliability, factual grounding, and brand alignment, ensuring safe and trusted interactions.
- Funding transformation through measurable ROI. By aligning adoption with our Right First Time efficiency programs, each rollout becomes self-funding, paving the way for scalable transformation.
What’s Next
Penelope Bloom and our sales directors are leading with an “intent over keywords” strategy, showcasing in-page conversational flows that co-exist with traditional search and conclude with Brain Checkout. Data enrichment is embedded in every pilot, and A/B placement tests ensure the assistant appears where it lifts RPV, search CVR, and AOV without friction. If your roadmap includes agentic or conversational commerce, let’s compare strategies and line up a quick, hybrid pilot.
