A Thailand-based transport company offering RoRo shipping, last-mile delivery, and logistics apps for Southeast Asia businesses and exporters. They ranked well in traditional search but had low visibility in conversational AI responses for queries like “best logistics app Thailand” or “best RoRo shipping solution SEA.”

Challenge

• Minimal or inconsistent mentions in Google AI Mode chats, where users dive deeper via follow-ups and multi-turn conversations
• Competitors appeared more frequently in synthesized, contextual answers despite similar rankings
• Traditional backlinks and anchors weren’t optimized for semantic similarity across query paths

What Is Google AI Mode? (Brief 2026 Explanation)

Google AI Mode is the conversational expansion of AI Overviews, think of it as a chat-like interface in Search (accessed via a dedicated tab, google.com/aimode, or “Show More” from Overviews). Powered by Gemini 3.x models, it handles complex, multi-part queries with follow-up questions, query fan-out (breaking one question into multiple sub-searches), reasoning, and personalized synthesis. Unlike static AI Overviews, it supports ongoing dialogue, deeper exploration, and agentic features, but citations aren’t always tied to top organic rankings. Success depends on semantic similarity to the full query path (intent variations, related subtopics, and contextual depth) rather than exact position in SERPs.

Solution

We applied targeted AIO/GEO tactics optimized for AI Mode’s conversational nature:

• Semantic Similarity & Query Path Coverage Built deep entity clusters covering full intent paths (e.g., “best RoRo app” → “vehicle shipping costs Thailand” → “export regulations SEA” → “comparison vs competitors”). Used atomic answers, statistics, tables, and HowTo/FAQ schema to match multi-turn reasoning.
• Targeted Editorials & Anchor Text Sculpting Secured placements on high-authority logistics/trade sites. Sculpted varied, natural anchors with surrounding n-grams (e.g., “leading RoRo shipping platform for exporters” embedded in phrases like “efficient car carrier for Southeast Asia routes,” “reliable last-mile integration for logistics apps”) to boost semantic relevance across fan-out sub-queries.
• On-Site Enhancements Added conversational-friendly structures: expandable accordions, comparison tables, detailed subtopic pages, and dynamic schema for real-time attributes (pricing, availability, reviews).
• Workflow Weekly scans across Gemini-powered AI Mode prompts + MCP CRM tracking for response changes.

Timeline

• Weeks 1–2: Query path mapping + semantic audit
• Weeks 3–6: Editorial outreach, content refinement, anchor optimization
• Week 7: Launch + iterative testing
• Ongoing: Bi-weekly AI Mode monitoring

Results

• AI Mode citations: From near-zero to 70–85% appearance in target conversational paths (“best logistics app,” “best RoRo app,” “best last-mile solution Thailand”)
• Conversational visibility: +110% mentions across follow-up queries
• Branded search uplift: +48%
• Inbound leads: +12% in Q1 2026
• Deeper engagement: Higher “dig deeper” interactions from AI Mode chats leading to site visits

Client Feedback

“Optimizing for AI Mode’s chat flow changed everything. We now show up naturally in multi-turn conversations about logistics apps, leads from Google Search conversations are significantly higher.”