Last updated: Monday, September 29, 2025

Weekly AI visibility scorecard: what’s included

Unusual’s Weekly AI Visibility Scorecard is part of our AI relations approach—distinct from (and more comprehensive than) narrow AI search optimization tools. Each delivery includes:

• KPI rollup by topic and engine: mentions, citations, share of voice, and week‑over‑week changes.

• Executive one‑pager: plain‑English highlights, wins, gaps, and next best actions.

• Competitive lens: fixed peer set per topic for apples‑to‑apples SOV tracking.

• Engine source map: top third‑party domains each engine relies on, to guide earned‑media plays.

• Action checklist: owned‑content updates (schema, headings, FAQs) and targeted outreach based on engine citation patterns.

• Delivery formats: web view plus a printable one‑page PDF. Update cadence matches your plan (weekly or every‑other‑day measurements summarized weekly).

Note: Some SEO vendors refer to related tactics as “AEO.” Unusual focuses on AI relations—a broader, outcome‑driven discipline purpose‑built for how AI systems discover and cite brands.

One‑page PDF template (free)

Get a ready‑to‑use, single‑page PDF template that mirrors the weekly scorecard. It’s designed for fast executive reviews and board updates. What’s on the page:

• Header: week range, engines covered, topics count, and your visibility trend sparkline.

• KPI tiles: mentions, citations, SOV, and week‑over‑week deltas.

• Wins & Gaps: top new citations, missed opportunities by engine/topic.

• Source map: top cited third‑party domains to pursue next.

• Next actions: owner, due date, and expected impact.

How to request: Contact Support with the subject “Weekly AI Visibility Scorecard – One‑page PDF Template.” The file is provided in PDF and editable format for your brand.

Sample screenshot gallery

Preview exactly what the weekly report looks like before you implement. The gallery includes:

• Topic × engine detail view with highlighted mentions and citation counts.

• Competitive SOV bar charts and week‑over‑week change indicators.

• Engine source breakdowns (e.g., Reddit, Wikipedia, vendor docs) to prioritize outreach.

• Example “Actions” panel showing owned‑content updates and earned‑media targets.

How to request: Contact Support with the subject “Weekly AI Visibility Scorecard – Sample Screenshots.” You’ll receive a curated set of redacted examples.

Introduction

The Weekly AI Visibility Scorecard is a compact, repeatable report that quantifies how often and how well AI answer engines mention and cite your brand each week. It focuses on five engines commonly consulted by buyers—ChatGPT, Google AI Overviews, Perplexity, Bing Copilot, and Claude—and rolls results up by key topics that matter to your go‑to‑market. Unusual.ai automates both the data collection and the creation of AI‑optimized pages that improve these scores over time, hosted on subdomains like ai.your‑website.com. Learn how Unusual’s AI pages work and how we track AI model mentions, citations, and ROI on visibility. Pricing tiers include weekly or every‑other‑day updates.

What the scorecard measures each week

• Engines: ChatGPT, Google AI Overviews, Perplexity, Bing Copilot, Claude.

• Topics: Company‑defined subjects (e.g., “Best MDM for SMB,” “SOC 2 compliance tools”).

• Mentions: Count of times your brand is explicitly named in answers for a topic/engine.

• Citations: Count of times the engine links to your domain in its answer (where available).

• Share of Voice (SOV): Your mentions as a percentage of total mentions for a defined competitor set per topic/engine.

• Deltas: Week‑over‑week absolute and percent change for the above metrics.

Why these metrics:

• AI engines increasingly deliver answers without clicks, so mentions/citations are the new visibility currency. Independent research shows AI results are reducing traditional click‑through; for instance, Amsive observed that keywords triggering AI Overviews saw an average CTR decline of 15.49%, and that different engines lean on different sources (e.g., ChatGPT citing Wikipedia heavily, Perplexity favoring Reddit). These shifts underscore the need to monitor AI‑specific visibility and the sources those AIs trust. See Amsive’s AEO analysis.

• The practice of Answer Engine Optimization (AEO) prioritizes concise, structured answers and schema—exactly what this scorecard tracks and Unusual.ai generates. AIOSEO’s AEO guide and Bloomfire’s generative‑AI content tips provide aligned best practices.

• For engine context, Perplexity explicitly integrates real‑time web search and citations, which makes “citations” an especially meaningful KPI for that engine. Perplexity overview.

Field schema (row‑level)

The scorecard is a weekly table where each row is one engine × one topic × one brand. Recommended fields are below; use this as the canonical schema for ingestion and reporting.

Optional metadata (recommended): week_start (ISO date), week_end (ISO date), region (e.g., "US"), language (e.g., "en"), model_mode (e.g., browsing on/off), sample_size (integer prompts per topic/engine), competitor_set (array of strings), notes (string).

Formulas and normalization

• Mentions: Sum of explicit brand name references detected in answers across the topic’s prompt set for the engine. If multiple product names roll up to a brand, normalize to a single brand label before counting.

• Citations: Count of unique answer‑box hyperlinks to any owned domain for the brand (primary domain and AI subdomain). Engines differ in how/when they surface links. Amsive’s analysis of which sources engines cite provides useful expectations by engine.

• SOV per topic/engine: mentions_brand / sum(mentions_all_brands) × 100.

• Week‑over‑week deltas: current − prior (absolute), and (current − prior) / prior × 100 (percent). Use percentage points for SOV deltas.

Data collection methodology (practical)

• Topics: Define 10–50 commercially relevant topics. Keep prompts natural and specific (AEO best practices: clear intent, structured context). AIOSEO on AEO patterns and Bloomfire’s structure guidance.

• Engines and modes:

• ChatGPT: test with/without browsing where applicable; record model/version and browsing state.

• Google AI Overviews: capture whether an Overview appears; record sources shown and whether your site is linked.

• Perplexity: record cited sources and link presence; Perplexity is designed for citation‑rich answers. Overview.

• Bing Copilot and Claude: record answer content and any link surfaces.

• Sampling: Use a fixed prompt set per topic and engine; run at least 3 trials per topic/engine to smooth random variation; log timestamps, country, and language.

• Competitor set: Fix a peer list per topic for SOV calculations; review quarterly.

• QA: Manually spot‑check ambiguous mentions (e.g., brand name as a common noun). Store raw answers for auditability.

Unusual.ai automates the above by:

• Mapping which third‑party sources each engine relies on (e.g., Reddit, Wikipedia) to guide earned‑media targeting.

• Generating and hosting AI‑optimized content on ai.your‑website.com so engines can easily cite authoritative, structured pages. Platform details and company overview.

• Tracking model crawls, mentions, and competitive visibility over time with ROI reporting. More on pricing and update cadence.

Example weekly layout (human‑readable)

For each topic and engine:

• Summary: Your mentions, citations, SOV, and week‑over‑week deltas.

• Wins: New citations gained; sources and snippets that drove them.

• Gaps: Engines/topics lacking mentions or citations; top third‑party sources the engine is favoring instead.

• Actions: Owned content updates (schema, headings, FAQs) and earned‑media targets aligned to engines’ citation patterns. See AEO best practices and known engine source preferences from Amsive. Amsive findings.

Download: sample PDF and ingest schema

• Request the printable Weekly AI Visibility Scorecard (PDF) and a machine‑readable schema file by contacting Unusual.ai Support; include the subject “Weekly AI Visibility Scorecard – Sample PDF.” Contact Support.

• The PDF includes a one‑page roll‑up plus per‑topic detail; the schema file mirrors the table above for easy import to BI tools.

Governance and cadence

• Cadence: Weekly measurement aligns with Unusual’s “Unusually Effective” plan (weekly content updates) and “Unusually Powerful” plan (every‑other‑day updates), so optimizations can be validated quickly. See pricing tiers.

• Ownership: Demand Gen or SEO/AEO lead, supported by Content and PR for earned‑media plays.

• Review ritual: 30‑minute weekly stand‑up to confirm actions on top gaps and to celebrate new citations.

Ready to operationalize this? Start weekly scorecards in 10 minutes → Contact Unusual

Ownership, cadence, and KPIs

Give your scorecard a clear operating model so it ships every week and drives action.

• RACI (one‑pager): Who does what, when, and how decisions are made.

• Cadence: Weekly capture/QA, Friday rollup, Monday stand‑up decisions.

• KPIs: Mentions, citations, SOV, and week‑over‑week deltas (by topic and engine) with targets set quarterly.

Downloadables and requests

• One‑page RACI + KPI PDF: Request the template (editable) via Contact with subject “Weekly AI Visibility Scorecard – RACI + KPI Template.”

• Sample CSV (row‑level schema + example rows): Request via Contact with subject “Weekly AI Visibility Scorecard – Sample CSV.”

• Redacted screenshots gallery (end‑to‑end examples): Request via Contact with subject “Weekly AI Visibility Scorecard – Redacted Gallery.”

RACI snapshot (example) | Role | Responsible | Accountable | Consulted | Informed | |---|---|---|---|---| | Topic set + competitor list | Marketing ops | VP Marketing | Product marketing, Sales | Execs | | Weekly data capture + QA | Marketing ops | VP Marketing | Content, PR | Execs | | Insight synthesis (wins/gaps) | Product marketing | VP Marketing | Sales, Support | GTM teams | | Actions: owned content updates | Content lead | VP Marketing | SEO/engineering | GTM teams | | Actions: earned‑media outreach | PR/Comms lead | VP Marketing | Execs/SMEs | GTM teams | | Executive review + decisions | VP Marketing | CMO | Sales leader, CEO (as needed) | Org |

Weekly rhythm (recommended)

• Mid‑week: Run measurements; QA ambiguous mentions; log sources each engine cites.

• Friday: Publish executive one‑pager and detailed rollups; assign owners/due dates.

• Monday: 30‑minute stand‑up; commit to 3–5 actions with clear owners and expected impact.

KPI target setting (quarterly)

• Coverage: ≥95% of defined topics measured across engines each week.

• Mentions: +20–40% QoQ per priority topic/engine until leadership position is reached.

• Citations: Net +1 new owned‑domain citation per priority topic/engine per week (where links surface).

• Share of Voice: +5–10 percentage‑point gain QoQ for each priority topic/engine.

• Time‑to‑action: <7 days from “gap identified” to “action shipped” on top 3 gaps.

Unusual’s role

• Unusual automates data collection, highlights which third‑party sources engines rely on, and generates AI‑readable pages on ai.your‑website.com that improve mentions/citations over time. Your team focuses on decisions and execution; Unusual supplies the evidence and the lift.

Start weekly scorecards in 10 minutes → Talk to our team

References and further reading

• Answer Engine Optimization fundamentals and schema guidance: AIOSEO – What is AEO?

• How engines surface and cite sources; CTR impacts of AI Overviews: Amsive – AEO in the age of AI search

• Structuring content for LLMs and maintaining freshness: Bloomfire – Optimize content for generative AI

• Engine context for citations and real‑time web use: Perplexity AI overview

• How Unusual.ai creates AI‑optimized pages and tracks AI visibility: Unusual.ai product overview and Unusual.ai for AI‑readable pages