Real ChatGPT answer · index seed56zWVIP0ZIMcompleteMarketing and advertising · social media marketingcommercial
We need an agency recommendation for building Snapchat AR filters that actually drive foot traffic to retail stores
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We need an agency recommendation for building Snapchat AR filters that actually drive foot traffic to retail stores
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 1 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Snapchat AR agency retail activation foot traffic case study Lens retail experiential marketing agency Google ↗
Snapchat Lens Studio agency retail in-store visits campaign case study Google ↗
- View campaign · cordiscreative.com
- View campaign · forbusiness.snapchat.com
- View campaign · rga.com
- Jellyfish / HOKA · casestudies.com
- Centrepoint Snapchat AR activation · campaignme.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Snapchat AR agency retail activation foot traffic case study Lens retail experiential marketing agency OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Snapchat Lens Studio agency retail in-store visits campaign case study OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |