PRISM AI — LG Philippines Insights Dashboard

Composite Score Over Time

Target: 4.0+. Higher is better.

PRISM Pillar Scores Over Time

Individual pillar trajectories. Identifies which dimensions are improving or declining.

LG Mention Rate

Recommendation Rate

Platform Comparison Over Time

One line per platform — LG mention rate across scans.

Category Performance Over Time

One line per category — LG mention rate across scans.

Key Messages Over Time

One line per message — which of LG's 10 messages are reaching AI? (1=detected, 0=absent per scan)

🔴 Visibility Gaps

Questions where LG was NOT found. Each is a PR seeding opportunity.

🟢 Where LG Is Winning

Queries where LG appeared. Protect these positions.

🔄 Marketing Funnel Analysis

The same scan data analyzed through a marketing funnel lens — showing where in the buying journey LG is strongest and where it needs attention.

📋 Queries Per Funnel Stage

Each query is classified based on consumer intent. ✓ Green = LG found. ✗ Red = LG not found.

📐 How This Analysis Works

This analysis uses the same scan results as the PRISM score — no additional scans needed. Each query is classified by its intent:

🔍 Awareness

General research — "Best appliance brand Philippines." The consumer is exploring, not comparing yet.

⚖️ Consideration

Brand comparison — "LG vs Samsung aircon." The consumer is weighing options head-to-head.

🛒 Decision

Purchase-ready — "LG OLED TV review Philippines." The consumer is about to buy.

The full PRISM scoring formula (Presence, Relevance, Impact, Sentiment, Message) is applied independently to each stage. This reveals where LG is strong or weak across the journey — for example, high Awareness but low Decision means consumers find LG during research but AI doesn't recommend it at the point of purchase.

Classification is done by AI during the response parsing step. Claude determines the funnel stage based on query intent patterns (comparison keywords → Consideration, product-specific terms → Decision, general category terms → Awareness).

📋 All Scan Results

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Question	Platform	LG?	Pos	Rec?	Competitors	Messages	Sentiment

📰 Source Analysis

Publications and websites AI platforms cite when discussing appliances. Higher counts = more influential source for AI answers.

📢 Media & PR Partner Sources

Filtered to show only news outlets, blogs, and official publications that PR teams can actively target for placement.

Sources by Category

Which LG reporting categories have the most cited sources?

Sources by Sentiment

How sources break down by AI sentiment toward LG.

Sources by Platform

Which AI platform cites the most sources?

⚔️ Competitor Visibility

How often each brand appears when Filipino consumers ask AI about home appliances. Always tracks Samsung, Haier, and Xiaomi alongside the top mentioned brands.

Brand Visibility by Platform

Which AI platform favors which brand?

Brand Visibility by Product

Which brands dominate each product category?

📦 Product Category Breakdown

LG's AI visibility analyzed by product type. Consumer products: Refrigerators, Microwaves, Washing Machines, TVs, Air Conditioners. B2B: Commercial AC, Information Displays, Commercial Washers.

🔍 Query Library

The 85 consumer questions scanned across AI platforms each week. Queries are grounded in Google Trends Philippines data and real Filipino search behavior.

Methodology

How queries were selected: We analyzed Google Trends Philippines, Shopee/Lazada search data, TikTok trending appliance content, and real consumer questions asked to AI platforms. Queries reflect what Filipino consumers actually search for — not what we think they search for.

Query categories: Each query belongs to one of LG's reporting categories (General, K-Culture, Product, Gen Z, B2B) for alignment with LG Global's measurement framework. Separately, each query is also classified into a marketing funnel stage (Awareness, Consideration, Decision) for journey analysis.

Product classification: Queries are also tagged by product type (Refrigerator, TV, Air Conditioner, etc.) to enable product-level visibility analysis. This is determined by AI during the response parsing step.

Updates: The query library is reviewed and updated periodically based on seasonal trends, new LG product launches, and shifts in consumer search behavior.

📐 How PRISM AI Scores Are Calculated

Each pillar is scored 0–5. The composite uses LG Global's weighting. All scoring is automatic.

4.0–5.0 Strong

3.0–3.9 Good

2.0–2.9 Developing

1.0–1.9 Weak

0.0–0.9 Critical

Composite Score

(P × .20) + (R × .20) + (I × .25) + (S × .15) + (M × .20)

P 20%

R 20%

I 25%

S 15%

M 20%

Target: 4.0+ (Strong)

Impact has the highest weight (25%) because being recommended drives purchase decisions.

Funnel Analysis

The same PRISM formulas are also applied per funnel stage (Awareness → Consideration → Decision) in the 🔄 Funnel tab. This shows where in the buying journey LG is strongest or weakest, using the same scoring methodology.

10 Tracked Key Messages

These exact phrases are checked in every AI response.

About PRISM AI

PRISM AI is an AI visibility measurement framework built by Ripple 8 (DDB Group) for LG Electronics Philippines. It measures how LG appears when Filipino consumers ask AI platforms — like ChatGPT, Google Gemini, and Google AI Overviews — about home appliances.

The framework extends LG Global's existing PRISM structure (Presence, Relevance, Impact, Sentiment, Message Pull-Through) by adding an AI visibility layer that tracks what AI says about LG across multiple platforms.

How it works: Every week, 85 consumer questions are sent to multiple AI platforms automatically via their APIs. Each response is analyzed for whether LG appears, in what position, whether it's recommended, what competitors show up, and which of LG's key messages are present. The results are scored across 5 pillars and compiled into this report.

Why this matters: AI platforms are increasingly how consumers research products before purchasing. If LG doesn't appear when someone asks "best aircon Philippines," that's a lost opportunity. This tool measures that gap and tells us exactly where to focus PR efforts.

What is GEO? Generative Engine Optimization (GEO) is the practice of making a brand visible to AI platforms. Unlike SEO (which optimizes for Google search), GEO works through earned media, PR seeding, and press releases — the core competencies of a PR agency. When journalists write about LG in Rappler or Inquirer, AI platforms cite those articles in their answers.

Platforms scanned: Claude (Anthropic), Gemini (Google), ChatGPT (OpenAI), Google AI Overviews. Microsoft Copilot is tracked manually.

Built by: Ripple 8, a DDB Group PR agency
Framework: PRISM AI (aligned to LG Global's PRISM structure)
Scoring: 5 pillars, 0–5 scale, weighted composite. See 📐 Scoring System tab.
Data: Updated weekly. Select different periods using the dropdown on the Overview tab.

PRISM AI Insights Dashboard