Ad agencies have begun building bespoke generative engine optimization (GEO) platforms, with teams like Havas using Anthropic’s Claude Code to construct tools that measure how brands appear in AI-generated answers, featuring multi-model prompt runs and citation analysis. These systems were developed quickly—ranging from evening prototypes to full SaaS rollouts—and Havas’s Brand Insights AI was assembled on Claude Code and Replit to generate prompts, query multiple models and tally brand presence across responses.
Other agencies such as Broadhead and Supergood have followed suit, adding features like audience-persona simulations, competitive-intelligence votes and iterative scoring loops where models create and evaluate outputs until targets are met. For marketers, agency-built GEO tools offer tailored control over AI visibility and cost management, letting teams simulate consumer queries, track shifting competitor sets and license platform access as a service rather than depending on misaligned off-the-shelf vendors.
Agency Vibe-Coding Platforms
Havas' 'Brand Insights AI' Is a Claude-Powered GEO Product
Trend Themes
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Agency-built GEO Platforms — A shift toward agencies creating bespoke GEO platforms opens possibilities for tailored AI-brand alignment tools that alter how brands control presence in generative outputs.
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Multi-model Prompt Orchestration — Combining multiple LLMs and iterative prompt loops creates a new layer of orchestration technology that could redefine accuracy, cost-efficiency, and model-agnostic benchmarking.
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AI Visibility Metrics and Attribution — Quantifying brand appearance and citation behavior in AI responses introduces measurement standards that can transform media planning and ROI frameworks.
Industry Implications
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Advertising and Marketing Agencies — Agency teams leveraging GEO tooling may displace generic vendors by packaging consulting, proprietary model strategies, and licensed platform access as differentiated services.
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Saas and Martech Providers — Vendors that integrate multi-model querying, prompt generation, and citation analytics could upend traditional martech stacks with specialized AI governance and visibility layers.
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Consumer Research and Insights Firms — Firms focused on audience simulation and competitive-intelligence voting systems might redefine market research methodologies by embedding generative-sourced behavioral signals into insights products.