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How do you track competitors’ search reputation?

Quick answer

Competitor reputation is tracked by running the same priority query set through IMPACT for SERP composition comparisons and through AIQ across the eight AI engines AIQ currently tracks for narrative, sentiment, source attribution, and theme coverage. The aggregate view yields share of voice on each query; that data feeds monthly reporting and strategic prioritization of where to act next.

Competitive reputation tracking is one of the higher-value outputs of a program because it converts raw data into strategic action: it surfaces where peers have advantages worth closing, where the client has leads worth defending, and where the category itself is shifting.

Step 1: Run the same query set against named peers in IMPACT

IMPACT runs the client’s priority query set against named peers in identical geographies and languages, producing per-query SERP composition comparisons. Because Google results vary by location, locking geography keeps the comparison apples-to-apples. The output shows, for each query, which sources each competitor owns on the page and which the client owns.

Side-by-side comparison diagram: client vs.
Competitor reputation tracking: the same priority query set and AI prompts are run against both the client and named peer across IMPACT and AIQ, producing per-query SERP composition comparisons, model-by-model AI narrative comparisons, and an aggregate share-of-voice view that feeds monthly reporting and strategic prioritization.

Step 2: Run the same prompts against each peer in AIQ

AIQ runs identical prompts against each named peer across the eight AI engines AIQ currently tracks (ChatGPT, Copilot, Gemini, AI Overview, Perplexity, Grok, Claude, and Google AI Mode), producing a model-by-model comparison of:

  • Narrative state, how each engine characterizes each entity
  • Source attribution, which sources each engine cites for the peer vs. the client
  • Sentiment, the tone each engine applies to each entity
  • Theme coverage, which topics each engine associates with each entity

Step 3: Aggregate into share-of-voice metrics

The aggregate view shows share of voice on each priority query and across the AI narrative as a whole. Share of voice is the core comparative metric: which entity is most present, most favorably described, and most sourced on the queries that matter.

Step 4: Feed reporting and prioritize interventions

The competitive output serves two downstream uses:

  1. Monthly reporting, peer comparison typically proves more actionable than absolute scores alone, because it contextualizes whether a change in the client’s metrics reflects a real shift or merely category movement.
  2. Strategic prioritization, the data identifies which interventions offer the most leverage relative to the competition, directing effort where the gap is both significant and closeable.

Last reviewed: 19/05/2026

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