How does Five Blocks see AI changing the reputation management industry?
AI answer engines are the most significant search shift since Google's founding. Reputation work expands from ranking optimization to source and narrative work across many models simultaneously.
The shift is structural rather than incremental. For two decades, reputation work was fundamentally about influencing what Google returned for a query – ranking, SERP composition, Knowledge Panel content. AI engines change the picture entirely: stakeholders now ask ChatGPT, Gemini, Perplexity, and Copilot the same questions they used to type into Google, and what those engines synthesize is increasingly the canonical answer. The discipline expands accordingly. Ranking optimization remains important because the engines retrieve from the same source layer Google indexes. New disciplines layer on: source attribution work (which sources each engine weights for which prompts), multi-model narrative monitoring (because the engines diverge on the same question), and entity-layer engineering for AI retrieval rather than just search ranking. We built AIQ™ in 2023 specifically because the industry needed a tool calibrated to this layer, and it has become the most active product in our portfolio. The shift is at the same magnitude as Google’s emergence in the late 1990s.
Last reviewed: 19/05/2026
