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⏶ Open data · 2026-W25 · Jun 15 – Jun 21, 2026

17 US Cities × 4 AI Engines — Wedding Venues

How AI engines recommend wedding venues by type (barn, winery, rooftop, mansion), guest count, and budget.

Markets
17
17 cities × 1 industries
Snapshots
17
Window: 4 weeks
Properties named
2008
Unique across all markets
Dominant engine
Perplexity
avg coverage shown below

Avg per-engine coverage across 17 markets

  • ChatGPT26%
  • Claude12%
  • Perplexity100%
  • Gemini0%

Per-market data (17)

atlanta·wedding_venue

1 snapshot
Median score
20
of cited businesses
Top score
100
single best
Properties named
164
unique, window
Avg coverage
48%
across 4 engines
📈 Top movers
none in window
📉 Top droppers
none in window
Per-engine coverage (avg over window)
ChatGPT53%
Claude40%
Perplexity100%
Gemini0%

buffalo·wedding_venue

1 snapshot
Median score
52
of cited businesses
Top score
100
single best
Properties named
93
unique, window
Avg coverage
25%
across 4 engines
📈 Top movers
none in window
📉 Top droppers
none in window
Per-engine coverage (avg over window)
ChatGPT0%
Claude0%
Perplexity100%
Gemini0%

chicago·wedding_venue

1 snapshot
Median score
23
of cited businesses
Top score
100
single best
Properties named
167
unique, window
Avg coverage
45%
across 4 engines
📈 Top movers
none in window
📉 Top droppers
none in window
Per-engine coverage (avg over window)
ChatGPT60%
Claude20%
Perplexity100%
Gemini0%

des moines·wedding_venue

1 snapshot
Median score
50
of cited businesses
Top score
100
single best
Properties named
97
unique, window
Avg coverage
25%
across 4 engines
📈 Top movers
none in window
📉 Top droppers
none in window
Per-engine coverage (avg over window)
ChatGPT0%
Claude0%
Perplexity100%
Gemini0%

fort myers·wedding_venue

1 snapshot
Median score
19
of cited businesses
Top score
94
single best
Properties named
147
unique, window
Avg coverage
48%
across 4 engines
📈 Top movers
none in window
📉 Top droppers
none in window
Per-engine coverage (avg over window)
ChatGPT53%
Claude40%
Perplexity100%
Gemini0%

honolulu·wedding_venue

1 snapshot
Median score
22
of cited businesses
Top score
83
single best
Properties named
148
unique, window
Avg coverage
45%
across 4 engines
📈 Top movers
none in window
📉 Top droppers
none in window
Per-engine coverage (avg over window)
ChatGPT53%
Claude27%
Perplexity100%
Gemini0%

indianapolis·wedding_venue

1 snapshot
Median score
22
of cited businesses
Top score
100
single best
Properties named
178
unique, window
Avg coverage
48%
across 4 engines
📈 Top movers
none in window
📉 Top droppers
none in window
Per-engine coverage (avg over window)
ChatGPT53%
Claude40%
Perplexity100%
Gemini0%

jacksonville·wedding_venue

1 snapshot
Median score
49
of cited businesses
Top score
100
single best
Properties named
93
unique, window
Avg coverage
25%
across 4 engines
📈 Top movers
none in window
📉 Top droppers
none in window
Per-engine coverage (avg over window)
ChatGPT0%
Claude0%
Perplexity100%
Gemini0%

little rock·wedding_venue

1 snapshot
Median score
35
of cited businesses
Top score
100
single best
Properties named
97
unique, window
Avg coverage
27%
across 4 engines
📈 Top movers
none in window
📉 Top droppers
none in window
Per-engine coverage (avg over window)
ChatGPT7%
Claude0%
Perplexity100%
Gemini0%

louisville·wedding_venue

1 snapshot
Median score
55
of cited businesses
Top score
100
single best
Properties named
87
unique, window
Avg coverage
25%
across 4 engines
📈 Top movers
none in window
📉 Top droppers
none in window
Per-engine coverage (avg over window)
ChatGPT0%
Claude0%
Perplexity100%
Gemini0%

nashville·wedding_venue

1 snapshot
Median score
30
of cited businesses
Top score
80
single best
Properties named
82
unique, window
Avg coverage
25%
across 4 engines
📈 Top movers
none in window
📉 Top droppers
none in window
Per-engine coverage (avg over window)
ChatGPT7%
Claude0%
Perplexity93%
Gemini0%

new york·wedding_venue

1 snapshot
Median score
70
of cited businesses
Top score
100
single best
Properties named
102
unique, window
Avg coverage
25%
across 4 engines
📈 Top movers
none in window
📉 Top droppers
none in window
Per-engine coverage (avg over window)
ChatGPT0%
Claude0%
Perplexity100%
Gemini0%

ogden·wedding_venue

1 snapshot
Median score
29
of cited businesses
Top score
80
single best
Properties named
112
unique, window
Avg coverage
37%
across 4 engines
📈 Top movers
none in window
📉 Top droppers
none in window
Per-engine coverage (avg over window)
ChatGPT47%
Claude0%
Perplexity100%
Gemini0%

provo·wedding_venue

1 snapshot
Median score
25
of cited businesses
Top score
100
single best
Properties named
126
unique, window
Avg coverage
38%
across 4 engines
📈 Top movers
none in window
📉 Top droppers
none in window
Per-engine coverage (avg over window)
ChatGPT53%
Claude0%
Perplexity100%
Gemini0%

san jose·wedding_venue

1 snapshot
Median score
50
of cited businesses
Top score
100
single best
Properties named
77
unique, window
Avg coverage
25%
across 4 engines
📈 Top movers
none in window
📉 Top droppers
none in window
Per-engine coverage (avg over window)
ChatGPT0%
Claude0%
Perplexity100%
Gemini0%

sarasota·wedding_venue

1 snapshot
Median score
18
of cited businesses
Top score
100
single best
Properties named
139
unique, window
Avg coverage
45%
across 4 engines
📈 Top movers
none in window
📉 Top droppers
none in window
Per-engine coverage (avg over window)
ChatGPT47%
Claude33%
Perplexity100%
Gemini0%

washington dc·wedding_venue

1 snapshot
Median score
32
of cited businesses
Top score
80
single best
Properties named
99
unique, window
Avg coverage
28%
across 4 engines
📈 Top movers
none in window
📉 Top droppers
none in window
Per-engine coverage (avg over window)
ChatGPT13%
Claude0%
Perplexity100%
Gemini0%

Methodology

Each market is probed with 15 hand-curated holiday-search queries against four AI engines (ChatGPT via OpenRouter, Claude via OpenRouter, Perplexity sonar-pro, Gemini via OpenRouter). Engine coverage = % of queries where the engine returned at least one specific business name (not a refusal or generic OTA link). Rank movement compares the earliest and latest snapshot inside the4-week trailing window. Data frozen at 2026-W25 window end — this URL will never be edited.

Snapshots feeding this report: 2026-05-25 → 2026-06-21