Amkor Technology AI Brand Visibility (February, 2026)

AI BRAND VISIBILITY CHART

ChatGPT Visibility Report

Executive Visibility Summary

AI Brand Visibility for Amkor Technology (amkor.com) reflects an extremely low level of exposure in AI results, where semiconductor packaging services is the strongest entity with a Visibility Index of 62, typical rank around 1.0, and appearing in roughly 75% of AI replies. Across all 5 entities linked to Amkor Technology, the average Visibility Index is about 25, with moderate LLM confidence at roughly 40% and limited brand discovery around 30%. For the top entity semiconductor packaging services, AI responses show very strong confidence at about 100% and very strong brand match near 100%, indicating below target visibility quality for the strongest touchpoint. Integrated circuit assembly also contributes to the brand’s footprint, with a Visibility Index of 62, solid discovery close to 75% and very strong confidence around 100%. Overall, the report highlights sizeable gaps in how Amkor Technology is surfaced by large language models, underscoring the need for stronger brand signals and content aligned to AI discovery.

AI BRAND ENTITY REPORT

Entity	Website	Rank (Avg)	LLM Confidence	Brand Appearance (SoV)	Brand Discovery	Brand Target	Brand Match
semiconductor packaging services	amkor.com	1	100%	3/4 / (3.75%)	75%	13	100%

electronic manufacturing solutions	amkor.com	0	0%	0/0 / (0%)	0%	0	0%

integrated circuit assembly	amkor.com	1	100%	3/4 / (3.75%)	75%	13	100%

advanced technology development	amkor.com	0	0%	0/0 / (0%)	0%	0	0%

supply chain management solutions	amkor.com	0	0%	0/0 / (0%)	0%	0	0%

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Company Overview

Company Name: Amkor Technology

Website: amkor.com

Stock Symbol: AMKR

About:

Amkor Technology delivers advanced semiconductor packaging solutions, supporting global innovation with reliable engineering expertise. Customers trust Amkor for efficient manufacturing services and consistent product quality worldwide.

AI Brand Visibility Targets

Relevant Entities

Semiconductor packaging services
Electronic manufacturing solutions
Integrated circuit assembly
Advanced technology development
Supply chain management solutions

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About RankLens

RankLens measures how visible a brand is inside large language models (LLMs). It runs controlled sampling of AI responses, tracks where and how often your brand is mentioned, and normalizes the results into a Visibility Index so you can benchmark and track AI brand presence over time. RankLens is based on Entity-Conditioned Probing + Resampling principles.

Metric Definitions

Rank (Avg): Average ranking position of the entity across all sampling iterations (lower is better).
LLM Confidence: The normalized confidence score the LLM reports for its answers including your brand.
Brand Appearance (SoV): How many times the brand or website appears in the sampled responses out of total iterations. Share of Voice (SoV): % of all responses the AI assigned to a brand compared to all other brands.
Brand Discovery: The probability (as a percentage) that the brand appears in an LLM response for the tested entities.
Brand Target: A normalized measure based on confidence interval width showing how tightly focused the LLM responses are on the brand.
Brand Match: Accuracy of matching the results to the intended brand name or website.
Visibility Index: An overall score out of 100 combining probability, confidence, and targeting to summarize AI brand visibility.

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