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How does Five Blocks benchmark my brand’s reputation against peers?

Quick answer

Five Blocks benchmarks reputation against a named peer set using two instruments: IMPACT™ compares search position, share-of-voice, and SERP composition across shared keywords; AIQ™ compares AI narrative themes, source attribution, and sentiment across the eight engines AIQ currently tracks. Results appear in every monthly report, giving clients a relative position rather than an absolute number.

Peer benchmarking answers the question every client actually asks: how do we look compared to the firms we are competing against? Five Blocks defines a named peer set at the start of each engagement, typically five to ten named competitors, financial peers, or talent-market competitors depending on the program goal, and runs the same diagnostics for the peers as for the client throughout the engagement.

Side-by-side benchmark comparison table: Your Company (Client) vs Named Peer Set (5–10 peers), with IMPACT™ columns showing search position.
Five Blocks benchmarks every client against a named peer set — IMPACT™ tracks search position and share-of-voice; AIQ™ tracks AI narrative sentiment, themes, and source attribution across 8 engines. Both views appear side-by-side in every monthly report.

How IMPACT™ benchmarks search

Same keyword sets, same geographies
IMPACT™ runs the client’s priority keyword set against each named peer across the same geographies and languages, producing side-by-side comparisons rather than isolated snapshots.
What gets compared
Search position for shared queries, share-of-voice across the keyword set, and SERP composition, which owned, earned, third-party, and hostile URLs are appearing for each brand.
How leverage is identified
The comparison reveals which peers are winning specific SERP positions the client is not, and which moves peers have made that produced measurable search shifts.

How AIQ™ benchmarks AI narratives

Same prompts, same engines
AIQ™ runs the same prompt set against the eight AI engines AIQ currently tracks: ChatGPT, Gemini, Copilot, Perplexity, Claude, Grok, Google AI Overviews, and Google AI Mode, for the client and for each named peer.
What gets compared
AI narrative themes, the sources each engine cites, sentiment, and prominence across engines. This shows which peers are winning the AI narrative and what sources are driving that outcome.
Why this matters
AI engines often describe peers differently even for closely related queries. Seeing those gaps identifies which source relationships and narrative themes the client should prioritize.

How benchmarks are reported

  • The combined peer view appears in every monthly report alongside absolute client metrics.
  • Relative positioning tends to mobilize internal action more efficiently than absolute numbers, because the board, allocators, or recruiting committee cares about the competitive position, not the raw score.
  • Benchmarks also surface peer experiments that have already worked, source moves, content investments, Wikipedia changes, giving the client a roadmap of validated interventions rather than untested hypotheses.

Last reviewed: 19/05/2026

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