How do you handle negative AI-generated summaries of your company?
Trace the source of the framing (Wikipedia, a particular article, Reddit threads), strengthen authoritative counter-content, and monitor the engines for the correction to land.
Negative AI summaries are uncomfortable to read but they are diagnostic data. The summary is reflecting specific sources, and the source identification is where the work starts. AIQ™ shows citations directly for retrieval-based engines and pattern-matches against likely training sources for the rest. The framing usually traces to a small number of specific sources: a paragraph in the Wikipedia article, a dated trade article that the engines weight too heavily, a contentious Reddit thread, an analyst note that ranked high in retrieval. From there, the intervention depends on the source. Wikipedia work is done through proper edit-request processes. Press corrections or strengthening counter-coverage in authoritative outlets re-weights the source ecosystem. Owned-content additions provide the context the engines were missing. The work is patient (weeks to months) but reliable when the source diagnosis is correct. Arguing with the AI response itself produces nothing.
Last reviewed: 19/05/2026