AI paper index

Search vs. Store: AI App Search Demand vs App Store Rank vs Web Traffic (US, 2026)

2026-08-18 · Zenodo (CERN European Organization for Nuclear Research)

One-line summary

An AI research paper on Search vs. Store: AI App Search Demand vs App Store Rank vs Web Traffic (US, 2026).

Engineering notes

Engineering notes will be added by the aipentium editorial team.

Chinese explanation / 中文解读

中文解读待补充:本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。

Original abstract

One row per major AI app joining three independent popularity signals: Google search demand (Trends, anchor-normalized to ChatGPT=100 and bucketed into coarse tiers), best US App Store / Google Play chart rank, and SimilarWeb estimated monthly web visits. Two cross-sectional US snapshots (2026-07-01 and 2026-07-26) of 40 curated AI apps. Headline finding: search demand and web traffic broadly agree with each other, but App Store rank is the outlier — scrambled by distribution, not demand. Aggregate/derived figures only; no raw records and no PII. CC BY 4.0. Data behind the Crawlora study at https://crawlora.net/blog/search-vs-store-2026. Dataset page: https://crawlora.net/datasets/search-vs-store. Living index: https://crawlora.net/search-vs-store.

5.0Engineering value
7.0Research novelty
4.0Business relevance

Links and sources

Need this topic turned into a technical roadmap?

aipentium can prepare a custom AI literature review, code map, dataset map, and B2B technology assessment.

Request B2B AI research

Comments

No comments yet. Be the first to share your thoughts on this paper.
Login or register to leave a comment