ECHO AI Insights Dashboard

Target: 4.0+. Higher is better.

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

One line per platform — LG mention rate across scans.

One line per category — LG mention rate across scans.

One line per message — which of LG's 7 key messages are reaching AI? (1=detected, 0=absent per scan)

Each theme aggregates multiple queries. Click to expand and see individual results. Sorted best-to-worst visibility. Gap = <40% visible · Mixed = 40-65% · Win = >65%

The same scan data analyzed through a marketing funnel lens — showing where in the buying journey LG is strongest and where it needs attention.
All queries are included here, including brand-naming queries that are excluded from ECHO scoring and AI Landscape tabs.

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

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

The full ECHO scoring formula (Equity, Context, Health, Optimization) is applied to the funnel data. This reveals where LG is strong or weak across the buying 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 deterministic based on query text. Queries mentioning LG or with "review/worth/buy" keywords → Decision. Queries with "best/top/most/vs" keywords → Consideration. All others → Awareness. This ensures consistent classification across all scans.

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Retail, e-commerce, and shopping links that AI mentions in its response. These are where AI directs consumers to buy or research products.

Filter by product category: All CategoriesAir ConditionersRefrigeratorsWashing Machines & DryersTVs & Lifestyle ScreensAir PurifiersWater PurifiersVacuumsStylerAudio & SoundbarsMonitorsLaptopsCommercial HVACInformation Display & SignageCommercial LaundryMicrowavesDehumidifiersGeneral

Knowledge sources AI revealed when asked "what did you base your answer on?" These are the publications, forums, and websites that shape what AI tells consumers about brands.

When AI recommends where to research or buy, it often cites Reddit, Facebook Groups, and YouTube alongside traditional retailers. This happens because:

• Reddit — AI platforms treat Reddit threads as authentic consumer reviews. When someone asks "best aircon Philippines," AI pulls from r/Philippines and similar threads where real users share experiences.
• YouTube — Product review videos are cited as sources for hands-on opinions, especially for appliances where visual demos matter.
• Facebook — Filipino consumer groups on Facebook (like appliance buy-and-sell groups) are referenced for real-world pricing and availability.

PR implication: Community engagement and influencer seeding on these platforms directly influences what AI tells consumers. This is a GEO opportunity beyond traditional media.

Philippine news outlets, tech blogs, and publications that AI explicitly cited. Note: AI platforms rarely name editorial sources for product queries — they absorb information from media during training but typically don't cite it. PR impact shows up in Equity and Health scores, not here.

Which AI platform references the most?

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

Which AI platform favors which brand?

Which brands dominate each product category?

LG's AI visibility analyzed by product type, grouped under LG's four Business Units. Product categories are kept at a practical level rather than broken into granular sub-categories — with 72 queries, going too granular (24+ sub-categories) would leave most with only 1-3 data points each, making scores unreliable.

The 72 consumer questions scanned across AI platforms each week. Queries are grounded in Google Trends Philippines data and real Filipino search behavior.

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.

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

Not all pillars use the same scale because the underlying metrics have different realistic ceilings:

Equity and Context use ×5.56 (5.0 at 90%) — These measure how often LG appears. Achieving 90% mention rate or SOV is realistic for a dominant brand, so the ceiling is set high.

Health and Optimization use ×8.33 (5.0 at 60%) — These measure deeper engagement. Getting AI to actively recommend LG in 60% of responses, or getting 60% of responses to cite sources, is much harder than simply being mentioned. The lower threshold reflects this higher difficulty.

In practice: A brand that shows up 80% of the time (Equity ~4.4) but is only recommended 30% of the time (Health ~2.5) has strong awareness but weak advocacy — exactly the kind of gap ECHO reveals.

These sound similar but measure different things:

Mention Rate = How often LG appears at all. If LG is mentioned in 70 out of 100 AI responses, mention rate is 70%. This answers: "Is LG visible?"

Share of Voice (SOV) = LG's share of all brand mentions. If AI mentions LG 70 times, Samsung 90 times, and Panasonic 50 times (210 total brand mentions), LG's SOV is 33%. This answers: "How does LG compare to competitors?"

Why both matter: LG could have 70% mention rate (appears often) but only 25% SOV (Samsung appears more). High mention rate + low SOV means LG is present but not dominant. Both feed into the Equity pillar.

The Health pillar measures whether AI actively recommends LG, not just mentions it. Here's the difference:

These exact phrases are checked in every AI response.

ECHO AI is an AI visibility measurement platform that tracks how brands appear across major AI assistants — ChatGPT, Google Gemini, Claude, and Google AI Overviews.

As AI assistants increasingly replace traditional search as consumers' first stop for product research, ECHO AI gives brands the visibility and control they need to understand — and shape — how they're represented in AI-generated answers, turning an invisible channel into a measurable, actionable PR opportunity.

Built by Ripple8 for LG Electronics Philippines, it scans hundreds of real consumer questions (like "best aircon brand Philippines" or "Samsung vs Panasonic refrigerator") and measures four pillars of AI visibility: Equity (brand strength and share of voice), Context (coverage across audience segments and products), Health (sentiment and recommendation rate), and Optimization (whether PR efforts drive source citations and shopping links).

The result is a unified score (0–5 scale) that shows exactly where a brand stands in the new AI-driven search landscape, mapped across the marketing funnel from awareness to decision — so PR teams know where to focus their efforts to influence what AI tells consumers.

For scoring methodology, see the 📐 Scoring tab. For the full list of consumer queries scanned, see the 🔍 Query Library tab.