Strategy & Tactics

Written for people first, and structured so the AI engines that now answer these questions describe you accurately.

• How do you handle AI-generated content that competes with your brand narrative?

  AI engines reflect whichever sources they weight most heavily, so the way to counter a competing narrative is to make your preferred narrative the better-sourced one. Strengthen owned content with named experts and credible citations, pursue Wikipedia improvements backed by independent sourcing, secure coverage in outlets the engines treat as authoritative, and correct factual errors at their source through edit requests, press corrections, and structured-data fixes.

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• How do you handle AI search results that cite outdated information about your company?

  Outdated AI answers trace to outdated sources. Run three tracks in parallel - update your own pages (About, bios, product pages, FAQ) with current dates and facts; update Wikipedia and Wikidata; and generate recent authoritative third-party content - then monitor for the fresh information to show up. Engines that search the live web pick it up within days; engines that answer from training data update on their next cycle.

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• How do you handle negative AI-generated summaries of your company?

  Treat the negative summary as diagnostic data: identify the small set of sources the framing traces to, then apply the intervention that fits each source type (Wikipedia edit requests, stronger authoritative coverage, or owned content). Arguing with the AI response itself does nothing.

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