Use this scaffold as the starting structure for any AEO client report. Copy it, fill in the fields, and adapt to the specific engagement.
— Total clicks (28-day): ___ (primary signal)
— Total impressions (28-day): ___ (secondary — may be overstated due to confirmed GSC reporting issue)
— Top 5 queries by clicks: ___
— Schema status: [None / Present but unvalidated / Validated and aligned]
— Brand vs non-brand click split: ___
— Page URL: ___
— Answer placement: [Present in first block / Buried / Missing]
— Heading clarity: [Specific / Generic / Mixed]
— Schema alignment: [Aligned / Misaligned / Missing]
— FAQ quality: [Strong / Weak / Absent]
— Decline classification: [Slippage / Devaluation / Stable / Growth]
— Gap notes: ___
— GSC impressions may be overstated (confirmed Google reporting issue since May 2025). Clicks are unaffected.
— CTR is contextual only — derived from potentially inflated impressions.
— Average position is directional — an impression-weighted average, not a literal ranking.
— Comparison period: [Confirm no overlap with known algorithm updates, or flag if overlap exists]
— Attribution boundaries: [Note any signals that are inferred vs confirmed]
— Answer blocks: [count]
— Schema JSON-LD files: [count]
— Gap reports: [count]
1. ___
2. ___
3. ___
Why AEO reporting is different from SEO reporting
Traditional SEO reporting centres on rankings, traffic, and conversions. AEO reporting needs to communicate a different kind of progress — structural improvement. The page may not rank higher after an AEO review, but it may be structurally clearer, better aligned to target queries, and more extractable by answer-driven systems. Reporting that only tracks rankings will miss the value of AEO work entirely.
The challenge for agencies is that clients understand traffic and rankings. They may not immediately understand why structural clarity matters. The reporting format has to bridge that gap — showing what changed, why it was changed, and what signals to monitor going forward.
The three layers of an AEO report
Effective AEO reports cover three layers, each aimed at a different stakeholder audience:
Layer 1 — Executive summary
A concise overview for decision-makers who do not read full reports. This should cover: how many pages were reviewed, the most significant structural gaps found, the deliverables produced, and the recommended next steps. Two to three sentences maximum.
Layer 2 — Structural findings
A per-page breakdown of what was reviewed and what was found. For each page: answer placement status, heading clarity assessment, schema alignment check, FAQ quality rating, decline classification (slippage vs devaluation, if applicable), and specific gap notes. This layer is for the implementation team — the people who will actually make the changes.
Layer 3 — Performance baseline and monitoring signals
The data layer that makes before/after comparison possible. Record baseline GSC clicks (primary) and impressions (secondary, with inflation caveat) before changes are made. After implementation, monitor the same metrics at 30, 60, and 90 days. Ensure comparison windows do not overlap with known Google algorithm updates — if they do, flag this explicitly. The tracking AEO performance guide covers the monitoring approach in detail.
Layer 4 — Data confidence notes (required)
Every AEO report should include a brief section that states the data conditions under which the analysis was performed. This includes: whether impressions may be inflated, whether CTR is reliable, whether comparison periods overlap with algorithm updates, and what attribution cannot be confirmed. This section builds credibility and protects against overclaiming.
Common reporting mistakes to avoid
- Reporting only after implementation — without a baseline, there is no comparison. Record the baseline before making changes.
- Conflating AEO with SEO metrics — AEO progress shows in structural clarity and query alignment, not just ranking position. Report both, but don't treat them as the same signal.
- Overpromising AI visibility — AEO improves structural readiness. Whether a page is cited in an AI Overview depends on many factors beyond page structure. Report what you can control.
- Skipping the gap notes — the most valuable part of an AEO report is often what was not found. Missing evidence, unconfirmed claims, and schema misalignments are the actionable findings that drive the next review cycle.
- Using impressions as the primary signal — GSC impressions have been overstated since May 2025. Lead with clicks. Use impressions as secondary context only.
- Omitting data confidence notes — every report should state its data conditions and attribution boundaries. Omitting this undermines credibility with informed stakeholders.
Using this template with AEO Pro Lab
AEO Pro Lab is being built to produce the structured outputs that populate this reporting template — answer blocks, schema validation prompts, gap notes, data confidence notes, slippage/devaluation classifications, and stakeholder summaries. The report scaffold above gives you the presentation layer. AEO Pro Lab is intended to provide the content to fill it with. Together, they are designed to make the reporting process repeatable rather than reinvented for each client.
AEO Pro Lab produces the structured outputs that populate this report — consistently, for every page reviewed. The report template gives you the format. AEO Pro Lab gives you the content.
Join the Waitlist AEO Audit Template →Related resources
- AEO audit templateThe structured review template that feeds into this report
- Tracking AEO performanceThe metrics, monitoring cadence, and reporting approach for post-implementation tracking
- AEO for agenciesHow agencies add AEO to client workflows at scale
- Answer-ready service page exampleBefore-and-after example of AEO structural improvement