The landscape of local discovery is undergoing a seismic transformation, driven by rapid advancements in artificial intelligence and generative search technologies. As Google integrates sophisticated AI capabilities—such as AI Overviews and Gemini—deeper into its core search infrastructure, the traditional rules of local search engine optimization (SEO) are being rewritten. For multi-location brands, small businesses, and digital marketers, simply securing a coveted spot in the local map pack is no longer the definitive finish line. Today’s AI engines do not merely present a list of blue links or directory addresses; they actively compare options, synthesize reviews, make evaluative decisions, and even book appointments on behalf of the user, often accomplishing this entire consumer journey without a single visit to a brand’s official website.
To help organizations navigate this shifting paradigm, Search Engine Journal has announced an upcoming live webinar titled "Google On What’s Next In AI Search + 5 Local Marketing Strategy Fixes." Scheduled for Thursday, September 24, at 11:00 AM ET, the data-backed session features high-profile industry experts from Google, Adecco, and Uberall. The event is designed to unpack the mechanics behind Google’s next wave of AI search updates and provide actionable, tactical fixes for brands looking to ensure their physical locations are accurately recommended, chosen, and booked by conversational AI agents.
The Shifting Paradigm of Local Discovery
For decades, local SEO relied on a predictable set of ranking factors: proximity, relevance, and prominence, heavily reinforced by keyword optimization, consistent Name, Address, and Phone (NAP) citations, and a steady stream of customer reviews. However, the proliferation of generative AI has fundamentally altered how users interact with search engines. Consumers increasingly rely on conversational, highly specific queries—such as "Find a family-friendly restaurant near downtown with gluten-free options that currently has an outdoor table available for tonight at 7 PM."
Instead of forcing the user to browse multiple websites, compare menus, and check reservation platforms, Google’s AI aggregates data from across the web to formulate a single, cohesive recommendation. Behind the scenes, the AI engine evaluates structured data, real-time availability feeds, localized sentiment analysis, and cross-platform brand signals to make its decision. If a business’s local signals are fragmented, outdated, or conflicting across different digital directories, the AI system loses confidence in the data. Consequently, the algorithm bypasses that brand entirely in favor of a competitor with cleaner, more unified data hygiene.
Recent industry data underscores the urgency of this transition. Current metrics indicate that while Google’s AI search features now reach billions of active users every month, an alarming 68% of brands remain entirely absent from AI-generated recommendations. This visibility gap represents a massive leakage of potential foot traffic and revenue, proving that traditional SEO strategies alone are no longer sufficient to capture local intent in an AI-first ecosystem.
Event Chronology and Background Context
The upcoming webinar is part of Search Engine Journal’s ongoing educational series aimed at bridging the knowledge gap between rapid algorithmic advancements and practical marketing execution. The collaboration brings together key stakeholders from the tech, partnership, and enterprise software sectors to provide a comprehensive view of the problem from both the platform’s perspective and the marketer’s vantage point.
Planning for the session began in mid-2026, corresponding with internal rollouts of Google’s expanded AI search capabilities and subsequent enterprise concerns regarding data attribution and local visibility. Industry analysts noted a sharp increase in inquiries from multi-location brands experiencing fluctuating foot traffic patterns despite stable traditional local rankings. Recognizing the need for clear guidance, Search Engine Journal coordinated with software provider Uberall and Google representatives to formulate a structured curriculum addressing the root causes of AI invisibility.
The timeline of the event reflects a critical window in digital marketing history. As browser-based generative engines become the default interface for consumer discovery, the fourth quarter of 2026 marks a pivotal planning period for enterprise marketing budgets heading into the subsequent year. Organizations that fail to audit and optimize their local data architecture risk being sidelined as search engines transition from information retrieval engines to autonomous transactional assistants.
Expert Panelists and Speaker Lineup
The one-hour live broadcast features a distinguished panel of industry leaders who bring deep expertise in search technology, local marketing infrastructure, and ecosystem partnerships:
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Caroline Dissaux, Business Development Lead for Search & Gemini at Google, provides direct insight into the trajectory of Google Search and its unfolding AI innovations. Dissaux’s perspective offers attendees a rare, platform-level understanding of what search engineers prioritize when training and fine-tuning models for local intent.
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Bonnie White, Strategic Partnerships Manager at Adecco supporting Google on Google Business Profile partnerships, discusses the collaborative framework required to maintain data integrity at scale. White’s expertise highlights the operational challenges brands face when managing thousands of listings across complex franchise networks.
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Krystal Taing, VP of Solutions at Uberall, translates high-level algorithmic shifts into concrete, day-to-day operational procedures. Taing introduces the specific "local marketing strategy fixes" designed to counteract common data discrepancies that confuse AI models.
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Katie Morton, Executive Editor at Search Engine Journal, moderates the session, guiding the conversation to ensure that theoretical concepts are paired with actionable takeaways for marketing practitioners, agency leaders, and enterprise SEO professionals.
The Five Core Strategy Fixes
While the live session will deep-dive into the granular details of each solution, preview materials indicate that the curriculum focuses on five vital operational adjustments required for AI readiness:
- Unified Data Architecture: Ensuring that structured data, schema markup, and directory listings are synchronized perfectly across every digital touchpoint to eliminate conflicting signals.
- Real-Time Inventory and Availability Feeds: Moving beyond static business hours to provide dynamic API feeds that allow AI agents to check live seating, booking, or appointment slots instantly.
- Enhanced Review and Sentiment Management: Recognizing that AI reads not just star ratings, but qualitative sentiment within customer reviews to determine specific service attributes and brand reliability.
- Hyper-Local Content Optimization: Creating location-specific landing pages and content assets that address hyper-local nuances, regional vernacular, and specific neighborhood search intents.
- Ecosystem-Wide Profile Health Audits: Implementing continuous monitoring protocols to catch data corruption, unauthorized edits, or stale information across third-party maps and review platforms before AI crawlers index them.
Broader Implications and Industry Analysis
The implications of Google’s AI search updates extend far beyond immediate marketing metrics; they represent a fundamental restructuring of the digital economy. When AI systems assume the role of gatekeeper—deciding which businesses to recommend and facilitating direct transactions—the nature of brand loyalty is tested. Consumers may become increasingly agnostic toward the specific brand they choose, relying instead on the frictionless convenience provided by the AI assistant.
For enterprise brands and multi-location franchises, this shift necessitates a cultural and structural alignment between IT, marketing, and operations teams. Local SEO can no longer operate in a silo focused solely on keywords and backlinks. It requires rigorous cross-functional collaboration to ensure that operational realities—such as temporary holiday hours, menu changes, or service updates—are reflected in real-time across the digital ecosystem.
Furthermore, digital marketing agencies face mounting pressure to prove ROI in an era where direct website visits from search engine results pages (SERPs) may decline. As "zero-click" searches expand to include zero-click conversions, attribution models must evolve to account for AI recommendation frequency, map pack prominence, and conversational brand mentions.
Registration and Availability Details
Registration for the live webinar is currently open through the Search Engine Journal platform. Industry professionals, business owners, local marketers, and agency executives interested in safeguarding their digital footprint can reserve a seat online.
Organizers have confirmed that for registrants unable to attend the live broadcast on Thursday, September 24, at 11:00 AM ET, an on-demand recording and comprehensive slide deck will be distributed via email following the event. As search technology continues its rapid evolution toward fully autonomous discovery, sessions of this caliber offer a vital roadmap for brands striving to remain visible, trusted, and chosen in an AI-driven marketplace.
