Prioritizing Subtopics with Business Intent (ICE Scoring): A Practical Framework for AEO

A comprehensive ‘content prioritization framework SEO’ guide using ICE scoring tailored for AEO/GEO. Includes a scoring rubric, weighted formula, copy-paste Google Sheets setup, and a filled example.

Agenxus Team11 min
#AI SEO#AEO#GEO#Content Strategy#Prioritization#Topic Clusters#Roadmapping
Prioritizing Subtopics with Business Intent (ICE Scoring): A Practical Framework for AEO

You’ve mapped your pillar & cluster, and you’ve expanded one head term into dozens of conversational questions. Now comes the hard part: deciding what to ship first. This guide shows how to use ICE scoring—tuned for AEO/GEO—to prioritize subtopics that have real business intent and a high chance of being cited in AI answers.

New to clustering and long-tails? Start with Designing Topic Clusters for AEO and Query Fan-Out, then see how answer engines work in How AI Overviews Work and how AEO differs from SEO in AI Search Optimization vs. Traditional SEO.

Classic ICE

  • Impact: Business value if successful
  • Confidence: How sure you are
  • Effort: Time/complexity to deliver
  • Score: (I + C + E) or a weighted variant

ICE for AEO/GEO

  • Impact: Business intent (ICP fit, revenue tie) + AEO surface potential (AI Overviews, Perplexity/Copilot)
  • Confidence: Evidence & sources available, SERP signals (PAA density, freshness), authority fit, risk
  • Effort → Ease: Writing depth, SME review, schema, screenshots/diagrams, legal/compliance, dev/design needs

The Scoring Rubric (1–5)

ScoreImpact (Business + AEO)Confidence (Signals + Evidence)Effort (Lower is better)
5Direct revenue tie; strong AI-answer surfaceMultiple reputable sources; clear SERP fitVery low effort; minimal SME/compliance
3Some pipeline/link value; moderate AEO potentialAdequate sources; moderate uncertaintyModerate effort; some SME or schema work
1Low commercial value; weak AEO surfaceSparse sources; ambiguous intentHigh effort; heavy review/compliance/dev

Use a Weighted ICE (with Ease)

Many teams weight the factors so business intent leads decisions. A common starting point is I: 0.5, C: 0.3, E: 0.2. Because Effort is “lower is better,” convert Effort to Ease as Ease = 6 − Effort on a 1–5 scale.

Weighted ICE = (wI * Impact) + (wC * Confidence) + (wE * Ease)
Default weights: wI = 0.5, wC = 0.3, wE = 0.2
Ease = 6 - Effort  (so less effort = more ease)

Scoring Sheet (Copy-Paste for Google Sheets/Excel)

Columns: A Subtopic · B Impact · C Confidence · D Effort · E Ease · F Weighted Score. Put weights in H2:H4 (I, C, E).

SubtopicImpactConfidenceEffortEaseWeighted ICE
What is AEO?35243.8
AEO vs SEO44333.8
How to implement FAQ schema45244.3
Topic clusters for healthcare (YMYL)53423.8
Query Fan-Out method44333.8
E-E-A-T for finance (YMYL)53423.8
Perplexity citations case study32422.5
Internal linking blueprint44244.0

Ties? Use business tie-breakers: key account fit, feature launch support, seasonality, or whether a page unlocks multiple siblings.

Google Sheets Setup (Formulas)

  1. Put weights in H2 = 0.5 (Impact), H3 = 0.3 (Confidence), H4 = 0.2 (Ease).
  2. In E2 (Ease) use: =6 - D2 and copy down.
  3. In F2 (Weighted ICE) use: =ROUND($H$2*B2 + $H$3*C2 + $H$4*E2, 2) and copy down.
  4. Add data validation for B:C:D (numbers 1–5). Use conditional formatting to color by score.

Copy-Paste CSV (Template)

Subtopic,Impact,Confidence,Effort,Ease,Weighted_ICE
, , , ,=6-D2,=ROUND($H$2*B2+$H$3*C2+$H$4*E2,2)

Where ICE Lives in the AEO Workflow

Query Fan-Out → Cluster Design → ICE Prioritization → AEO Content Brief → Draft → Review → Ship → Measure → Refresh
(See: Query Fan-Out • Topic Clusters • AEO Content Brief Template)

Use the AEO Content Brief Template to turn your top-scoring items into answer-first pages with the right schema and links.

Best Practices & Pitfalls

  • Define Impact with sales/CS. Include ICP fit, revenue motion, and product alignment—avoid “traffic for traffic’s sake.”
  • Ground Confidence in evidence. Prefer topics with authoritative, citable sources and clear intent. For YMYL, plan expert review.
  • Be honest on Effort. Account for SME calendars, legal, diagrams, and JSON-LD—rushed content rarely earns citations.
  • Re-score quarterly. Markets shift; update weights and re-run.
  • Document tie-breakers. Decide criteria up front to avoid endless meetings over close calls.

Further Reading & References

Want a hands-on partner to facilitate scoring with your sales, CS, and product teams? Agenxus’s AI Search Optimization service runs ICE workshops, delivers a prioritized roadmap, and turns it into answer-first content that earns citations.

Frequently Asked Questions

What is ICE scoring?
ICE stands for Impact, Confidence, and Effort. You score each subtopic 1–5, then combine the scores (optionally with weights) to decide what to ship first.
How is ICE different for AEO/GEO?
We define Impact to include business intent and AI citation potential, Confidence to include evidence support and SERP/answer-engine signals, and Effort to include SME/expert review and structured data work.
Should I weight the factors?
Yes—most teams give Impact the highest weight (e.g., 0.5), Confidence next (0.3), and Effort/Ease (0.2). Adjust to fit your funnel and compliance needs.
How often should we re-score?
Quarterly is typical. Re-score when market conditions, seasonality, or your product priorities change.
What if everything ties?
Use tie-breakers: time-to-value, key account fit, seasonal demand, or whether a page unlocks other pages (dependency).
Does this replace keyword research?
No. Use it after discovery work like Query Fan-Out and cluster planning to decide the order of execution.