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Direct answer

Create two transparent investment models rather than inferring value from visibility alone. For each channel, use measured costs and outcomes from the relevant analytics or business system. Apply the same conversion-value rules, show unattributed traffic separately, and present a range when assumptions are uncertain.

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Data required

Use GEO and SEO labor, tooling, content, and distribution costs; connected AI-referral and GSC or organic-traffic data; conversion events; approved value per outcome; period; attribution model; and known data gaps. Keep visibility metrics as leading indicators, not revenue.

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Workflow

1

Define comparable scope

Choose the period, markets, content, and cost categories included for each channel. Document shared work instead of double-counting it.
2

Measure outcomes

Use recognized AI-referral outcomes for GEO and the agreed organic-search source for SEO. Preserve each source system’s attribution rules.
3

Apply value assumptions

Multiply validated outcomes by an approved value per outcome where appropriate. Calculate ROI as attributed value minus cost, divided by cost, and show sensitivity to uncertain inputs.
4

Explain the comparison

Separate measured value, modeled value, unattributed activity, visibility indicators, and non-financial benefits.

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Interpretation

A modeled ROI is conditional on attribution and value assumptions. Mention Rate, Citation Rate, Share of Voice, and Coverage do not have an inherent monetary value. A difference between GEO and SEO ROI does not prove that moving budget will reproduce the same return.

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Possible next actions

  • If AI-referral conversions are too sparse, test a longer observation period or report cost and leading indicators without inventing revenue.
  • If channels share content costs, test multiple allocation methods and show how they change the comparison.
  • If unattributed journeys are material, improve privacy-compliant measurement before making a budget decision.

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Limitations

AI and organic journeys can overlap, referrers can be missing, and attribution models can assign different credit to the same conversion. The analysis is decision support, not a causal experiment or forecast. Report assumptions and uncertainty alongside the result.

Exports

Export Qwairy data for a controlled model.

Google Search Console

Use the connected traditional-search dataset.

GEO guide

Read additional background on GEO.

Is AI driving traffic?

Validate observed AI referral data first.

KPIs for GEO

Choose leading and outcome indicators.

Choose what to create

Frame content work as testable hypotheses.