Generative AI and Large Language Models (ChatGPT, Gemini, Claude…) are becoming a primary point of contact between brands and their customers—across inspiration, comparison, decision-making, support, and soon, purchase.
Yet today, marketing teams lack the tools to truly understand, manage, and optimize how their brands are represented in these conversational environments.

Tacklab was created to address this gap.

Tacklab is a Generative Engine Optimization (GEO) platform that reconnects LLMs with the marketing mix and the customer lifecycle. While traditional SEO-derived tools focus on fragmented visibility metrics, Tacklab analyzes AI-generated conversations through the lens of personas, customer journey stages, and business objectives.

The platform provides a structured view of how LLMs present your brand: which sources are cited, which competitors appear, and where opportunities for differentiation exist. Insights are comparable over time and directly actionable, supported by proprietary scores, ratios, and recommendations aligned with marketing priorities.

Tacklab then enables execution and measurement. It helps define optimization strategies, content priorities, and operational actions, while continuously tracking impact. The platform distinguishes natural LLM variability from the effects of deliberate interventions, allowing teams to link AI presence to business outcomes and ROI.

Just as every brand relies on a CRM to manage customer relationships across traditional channels, they will soon need a dedicated solution to manage relationships within LLMs.
Tacklab is built to be that strategic layer.

Tacklab

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Tacklab

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