How can we restructure our local Google Ads bids and localized landing pages in Raleigh to maintain lead volume during our industry's annual winter booking slump?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How can we restructure our local Google Ads bids and localized landing pages in Raleigh to maintain lead volume during our industry's annual winter booking slump?
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). 2 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
Google Ads official Smart Bidding seasonality adjustments conversion value rules budget recommendations landing page experience local campaigns 2026 Google ↗
Raleigh North Carolina seasonal winter demand local consumer search trends service businesses Google ↗
- How our bidding algorithms learn · support.google.com
- About seasonality adjustments · support.google.com
- About Smart Bidding using value-based bidding for Search and Shopping · support.google.com
- About Smart Bidding · support.google.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Google Ads official Smart Bidding seasonality adjustments conversion value rules budget recommendations landing page experience local campaigns 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Consequence | — | — | 1x of 1 | |
Raleigh North Carolina seasonal winter demand local consumer search trends service businesses OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |