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app
stringlengths
3
17
trends_term
stringlengths
4
17
search_tier
stringclasses
5 values
trends_interest_chatgpt100
float64
0.1
100
best_app_store_rank
float64
1
25
ios_rank
float64
1
1
android_rank
float64
1
25
chart_score
float64
76
100
ratings_count
float64
416
60.1M
sw_monthly_visits
float64
690k
5.38B
sw_global_rank
float64
7
77.8k
divergence
stringclasses
3 values
ChatGPT
ChatGPT
dominant
100
1
1
3
100
60,050,220
5,382,301,555
7
aligned
Google Gemini
Google Gemini
moderate
6.9
1
1
1
100
40,589,187
2,859,123,855
17
downloads_not_search
Claude
Claude AI
moderate
4.6
12
null
12
89
844,799
946,768,445
37
aligned
Perplexity
Perplexity
moderate
4.3
null
null
null
null
2,528,313
115,813,489
370
search_not_downloads
Grammarly
Grammarly
moderate
3
null
null
null
null
262,044
45,846,354
604
search_not_downloads
DeepSeek
DeepSeek
moderate
2.6
null
null
null
null
322,757
373,469,487
113
search_not_downloads
Meta AI
Meta AI
moderate
2.2
10
null
10
91
null
25,583,639
1,647
aligned
Grok
Grok AI
moderate
1.5
2
null
2
99
4,851,379
212,330,659
103
downloads_not_search
Microsoft Copilot
Microsoft Copilot
low
1.4
1
1
null
100
9,111,958
119,234,936
375
downloads_not_search
Midjourney
Midjourney
low
0.7
null
null
null
null
574
10,040,649
1,936
aligned
SpicyChat
SpicyChat
minimal
0.4
null
null
null
null
null
74,085,516
401
aligned
Candy AI
Candy AI
minimal
0.3
null
null
null
null
null
52,339,397
868
aligned
Talkie
Talkie AI
minimal
0.3
null
null
null
null
23,157
6,422,029
6,123
aligned
Leonardo AI
Leonardo AI
minimal
0.2
null
null
null
null
null
9,931,072
3,263
aligned
Civitai
Civitai
minimal
0.2
null
null
null
null
null
6,520,286
6,915
aligned
Otter.ai
Otter AI
minimal
0.2
null
null
null
null
45,703
6,555,066
7,376
aligned
Poe
Poe AI
minimal
0.1
null
null
null
null
516,242
5,978,337
8,476
aligned
Replika
Replika
minimal
0.1
null
null
null
null
752,162
711,121
77,760
aligned
Chai
Chai AI
minimal
0.1
null
null
null
null
816,041
1,015,952
55,197
aligned
Brainly
Brainly
minimal
0.1
null
null
null
null
4,755,950
2,830,802
22,133
aligned
Doubao
Doubao
unknown
null
9
null
9
92
null
150,642,138
317
downloads_not_search
Le Chat (Mistral)
Mistral AI
unknown
null
null
null
null
null
null
7,624,975
9,138
aligned
Character.AI
Character AI
unknown
null
null
null
null
null
2,950,627
168,784,735
192
aligned
Janitor AI
Janitor AI
unknown
null
null
null
null
null
null
126,805,876
220
aligned
Ideogram
Ideogram
unknown
null
null
null
null
null
416
3,036,139
10,945
aligned
Remini
Remini
unknown
null
null
null
null
null
6,192,213
922,419
49,020
aligned
PhotoRoom
PhotoRoom
unknown
null
null
null
null
null
4,198,132
19,151,049
3,064
aligned
Fotor
Fotor
unknown
null
null
null
null
null
773,512
7,951,690
6,513
aligned
Canva
Canva
unknown
null
null
null
null
null
29,740,973
869,982,097
32
aligned
Runway
Runway AI
unknown
null
null
null
null
null
231,796
6,515,100
6,082
aligned
Kling AI
Kling AI
unknown
null
null
null
null
null
null
2,623,453
21,609
aligned
Hailuo AI
Hailuo AI
unknown
null
null
null
null
null
null
690,175
48,013
aligned
HeyGen
HeyGen
unknown
null
null
null
null
null
42,935
9,612,813
3,814
aligned
Suno
Suno AI
unknown
null
null
null
null
null
2,359,035
70,259,045
539
aligned
Udio
Udio
unknown
null
1
1
7
100
3,065
1,546,644
25,585
downloads_not_search
ElevenLabs
ElevenLabs
unknown
null
null
null
null
null
188,755
33,603,969
1,070
aligned
Cursor
Cursor AI
unknown
null
null
null
null
null
null
22,312,212
2,132
aligned
QuillBot
QuillBot
unknown
null
null
null
null
null
24,126
34,258,064
1,295
aligned
Gauth
Gauth
unknown
null
25
null
25
76
3,370,863
3,993,789
15,778
downloads_not_search
Photomath
Photomath
unknown
null
1
1
1
100
3,831,260
null
null
downloads_not_search

Search vs. Store — AI app search demand vs App Store rank vs web traffic (US, 2026)

One row per major AI app joining three independent popularity signals. Two cross-sectional US snapshots (2026-07-01 and 2026-07-26), 40 curated AI apps each. Aggregate/derived only — no raw records, no PII. License: CC BY 4.0.

Why it's interesting

Rank the 40 apps by web visits and you get roughly the search order (ChatGPT, Gemini, Canva, Claude, DeepSeek…), not the App Store order. Search demand and web traffic agree; the App Store rank is the outlier, scrambled by distribution deals and platform push. The dataset makes that divergence explicit in the divergence column.

Columns

  • app — display name.
  • trends_term — the exact query measured on Google Trends (hand-picked to disambiguate brand names, e.g. "Claude AI", "Google Gemini").
  • search_tier — coarse Google search-demand tier: Dominant > High > Moderate > Low > Minimal. Coarse on purpose: ChatGPT dwarfs the field ~30–1000x, so the sub-Minimal tail is below Google Trends' resolution and is never individually ranked.
  • trends_interest_chatgpt100 — trailing-12-month mean Google Trends interest, anchor-normalized so ChatGPT = 100. Directional, not precise for the small tail.
  • best_app_store_rank — best current US chart position across iOS/Play, Top Free + Grossing (null = off the top-100). ios_rank / android_rank — per-store best.
  • chart_score — 101 - best_app_store_rank (higher = better standing; null if off-chart).
  • ratings_count — combined iOS+Play ratings count (install proxy), where matched.
  • sw_monthly_visits — SimilarWeb estimated monthly web visits (absolute; blank = below SimilarWeb's floor). sw_global_rank — SimilarWeb global site rank.
  • divergencedownloads_not_search | search_not_downloads | aligned (tier gap between store standing and search demand).

Files

File What
data/search-vs-store-ai-apps-2026-07-26.csv Snapshot 2026-07-26, one row per app
data/search-vs-store-ai-apps-2026-07-26.json Same rows + metadata + the search x store tier matrix
data/search-vs-store-ai-apps-2026-07-01.csv Snapshot 2026-07-01, one row per app
data/search-vs-store-ai-apps-2026-07-01.json Same rows + metadata + tier matrix

The .json files are a metadata wrapper (method, columns, tier_matrix, data[]), so the CSVs are the flat, directly-loadable tables.

Caveats worth reading before you cite this

  • Do not compute a cross-app search correlation from trends_interest_chatgpt100. Google Trends rescales 0-100 against the largest term in each request, and ChatGPT's volume collapses the tail into noise. The tiers and the divergence label are robust; a correlation coefficient over these values is an artifact. See the study for the full writeup.
  • sw_monthly_visits / sw_global_rank are joined from the nearest available panel date when the daily SimilarWeb panel had no row for the snapshot date (see similarweb_as_of in the JSON metadata) — a few days off from the rest of the row.
  • App Store chart history behind these snapshots is only ~2-3 weeks deep upstream; these are point-in-time snapshots, not a long rank history.

Citation

Crawlora (2026). Search vs. Store: AI App Search Demand vs App Store Rank vs Web Traffic (US, 2026). CC BY 4.0. https://doi.org/10.5281/zenodo.21987676

Collected with Crawlora.

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