Locally launches AI-ready storefronts for brand dealer networks
Locally on June 16, 2026 launched Agentic Storefronts, a product that makes authorized dealer inventory visible and purchasable through AI shopping agents in real time. The move targets a fast-growing channel where local intent is common and brands risk losing sales when agents cannot verify nearby stock. Why it matters: - AI shopping traffic has surged 1,200% year over year, and 58% of consumers now use AI for research. - BrightLocal found that 63% of agentic shopping prompts carry local intent, which means shoppers are asking for products they can buy nearby right away. - Brands can lose sales when AI agents identify a product but cannot verify local stock, pickup, or delivery options. - Locally is positioning authorized dealer networks as a new source of real-time inventory data for AI shopping. What happened: - Locally announced Agentic Storefronts on June 16, 2026 in New Orleans. - The product gives consumer brands AI-ready local shopping destinations on their own domains. - Agentic Storefronts makes authorized dealer networks visible, queryable and transactable through AI shopping agents. - Locally said the product is available now for brand clients on its platform. - Brands can contact Locally at join.locally.com to activate the storefronts. The details: - Agentic Storefronts live at dedicated on-domain addresses such as stores.brand.com. - Locally said the setup helps AI agents recognize those pages as authoritative. - Agents can query Locally’s endpoint directly for real-time structured data, including store hours and variant-level stock. - The system includes a brand-specific MCP endpoint for querying availability and purchase paths. - Supporting layers include nightly LLMs.txt maps, JSON-LD for inventory detection and Schema.org markup for indexability. - Agentic Storefronts can surface UPC-variant inventory, vetted store details, brand-curated fulfillment options such as BOPIS, ROPIS and Same-Day Delivery, and service attributes like expert credentials. - Locally’s intelligence layer distinguishes AI traffic from human traffic and tracks agent-crawling frequency, inventory queries and AI-sourced funnel flow. - The platform also provides traditional attribution data. Between the lines: - The launch reflects a shift in local commerce from search optimization to machine-readable inventory verification. - Brands with strong retail footprints may still be underrepresented in AI recommendations if their inventory is not structured for agent access. - Locally is betting that the advantage will come from owning the data infrastructure, not just the storefront experience. - CEO and founder Mike Massey said agentic shopping is already reshaping how consumers buy local and that every day a brand’s local presence stays invisible is a day of sales going elsewhere. - President Billy McKee said AI agents can push customers away if they cannot find verified real-time inventory and that the company’s network now spans 65,000 retailers. What’s next: - Locally says brands can use its existing retail network to activate Agentic Storefronts without building new infrastructure. - The company said a brand with 220 stores can reach 90% of the U.S. population through Locally’s 65,000-retailer network. - Brands that adopt the product will be able to compete more directly for local-intent queries inside AI assistants. - The company is likely to market the product as a way to keep transactions inside authorized dealer networks instead of losing them to marketplaces or unverified sources. The bottom line: - Locally is trying to turn AI shopping agents into a measurable sales channel for brands with local inventory, not just a discovery layer.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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