Thought leadership on Answer Engine Optimization (AEO), Generative Engine Optimization (GEO), and brand visibility in ChatGPT, Perplexity, and AI answers. Discover strategies, research, and product updates to help your brand win the AI discovery era.
Meta rolled out business-grade AI agents on WhatsApp and Instagram with new ad routes and compliance tools. Here is a 10-day plan to launch, measure, and scale for lower CAC and richer leads.
Claude 3.7 Sonnet lifts tool-use reliability and multi-turn planning, shifting the ROI breakpoint for agentic marketing ops. Here is the math, the use cases, and a practical 3.5 to 3.7 migration plan.
Shopify’s new AI semantic search and merchandising rules can lift add-to-cart and revenue fast. Here is a practical 30-day rollout to design synonyms, ranking rules, and measurement.
Answer engines are rewriting discovery. Here are 7 AEO trends with step-by-step implementation, examples, and metrics so you can win in ChatGPT, Copilot, Gemini, and beyond.
Answer engines are the new battleground. Here is how growth teams can implement AEO in 2025 with entity-first content, structured data, answer-ready modules, and measurable experiments.
Microsoft Copilot Ads just went GA with placements inside conversational answers. Here is how to launch, optimize, and measure for real incremental lift beyond traditional Bing SERPs.
Chrome, Edge, and Brave now surface on-page AI answers. Here is a step-by-step framework to structure content, schema, UX, and measurement so your pages win visibility and conversions before Q4.
GPAI transparency rules are live. Here is a 30/60/90-day plan to hit minimum viable compliance, keep shipping AI features, and avoid legal stall-outs across product, growth, and PMM.
Answer engines are reshaping discovery. I break down 2025 AEO trends and show how to implement them with schemas, content, distribution, and measurement that ties directly to revenue outcomes.
