What are the current best practices for using personalization tokens in cold outreach sequences without landing in the Gmail spam folder?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the current best practices for using personalization tokens in cold outreach sequences without landing in the Gmail spam folder?
3 real searches · 1 real-search pass
Gmail sender guidelines cold outreach personalization deliverability best practices 2026Google ↗
OBSERVEDInstruction
Google Gmail sender guidelines 2026 email authentication spam rate one-click unsubscribe officialGoogle ↗
OBSERVEDOther / navigational
Google Workspace Gmail spam policies bulk sender requirements SPF DKIM DMARC officialGoogle ↗
OBSERVEDOther / navigational
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 (3)
Classes come from the query-classifier (a local Laya model). 3 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Gmail sender guidelines cold outreach personalization deliverability best practices 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
Google Gmail sender guidelines 2026 email authentication spam rate one-click unsubscribe official OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Google Workspace Gmail spam policies bulk sender requirements SPF DKIM DMARC official OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |