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Adobe and Optimizely Adapt B2B Strategies as ChatGPT and Gemini Reshape Buyer Research

By InnovaAI Research1 min readForrester

ChatGPT and Gemini are changing how B2B buyers discover and evaluate software, pushing companies like Adobe and Optimizely to rethink their content and AI governance approaches. Marketing agencies advising B2B clients need to rethink content strategy and AI deployment governance before these shifts erode client pipeline performance.

Key Facts

01Adobe adapted its B2B content strategy specifically because ChatGPT and Gemini changed how buyers research software purchases.
02Optimizely's internal 'Customer Zero' program revealed governance gaps in agentic AI that would have caused problems at scale.
03A July 2026 infrastructure guide confirms self-hosted LLMs now eliminate per-token costs and keep data inside a controlled perimeter.
04AI-generated web content is reproducing accessibility failures at scale, creating reputational and legal exposure for agencies.

Why It Matters

Content that ranks well in search does not automatically surface in AI-generated answers, meaning B2B client pipeline may already be eroding without showing up in standard analytics.
Deploying agentic AI without defined decision boundaries and audit trails creates errors that are expensive to untangle after the fact.
Self-hosted LLMs have become a credible, operational option for compliance-sensitive clients, not just a theoretical one.
Publishing AI-generated content without accessibility checks exposes agencies and their clients to legal risk depending on jurisdiction.

Agency Actions

Run target buyer queries in ChatGPT and Gemini to audit whether client products appear accurately, then restructure content gaps for AI retrieval.

medium effort

Create a one-page agentic AI governance document before the next agent deployment, defining autonomous decision scope, human escalation triggers, and output logging.

low effort

Add a self-hosting option to AI tool proposals for clients in healthcare, finance, or legal sectors, citing data perimeter control and elimination of per-token fees.

medium effort

Integrate automated accessibility checkers into AI content production workflows so alt text, heading structure, and color contrast are validated before publication.

low effort