Media power ranking

How the scores are built

Two scores, both 0–100, both from public, reproducible inputs. We publish the formulas so anyone can audit or replicate them, the aim is an open industry standard for earned-media ROI.

1 · Media Power Score (per outlet)

Power = 0.45·Reach + 0.30·Authority + 0.25·AEO

• Reach, Ahrefs estimated monthly organic traffic, queried in subdomains mode (domain mode under-counts large brands). Log-scaled across the set:
  reach_norm = 100·(ln(traffic) − ln(min)) / (ln(max) − ln(min))
• Authority, Ahrefs Domain Rating (0–100 backlink authority), used as-is.
• AEO, how often LLM answer engines (ChatGPT, Perplexity, Gemini, Copilot) cite the outlet's domain across a fixed prompt set, normalized so the top media outlet = 100.

2 · Impact Score (per placement)

Impact = 0.34·Reach + 0.33·SoV + 0.33·AEO

• Each placement inherits its outlet's Reach and AEO, plus Share of Voice, the outlet's share of brand mentions across the same prompt set, normalized 0–100.
• Weights are configurable (media.impact_weights), not hard-coded.

3 · Data, cadence & provenance

• Reach + DR: Ahrefs API, refreshed on a defined cadence; each record stamped "as of".
• AEO + SoV: an answer-engine runner queries a fixed, published prompt taxonomy across multiple engines, retains every cited URL, and aggregates citation frequency + share of voice per outlet. History compounds and is never overwritten.

4 · Reproduce it

Everything needed to replicate a score is stated above, the engine list, the prompt set, the normalization formulas, and the weights. Run the same prompts against the same engines, count cited domains, apply the formulas. We intend to open-source the prompt taxonomy and scoring code so the score is independently testable and becomes the shared standard.