Building custom internal chatbots versus using Intercept or Ada what is the most cost-effective path for a mid-market company with tight margins
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Building custom internal chatbots versus using Intercept or Ada what is the most cost-effective path for a mid-market company with tight margins
3 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 (3)
Classes come from the query-classifier (a local Laya model). 2 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
Intercept AI customer service chatbot platform pricing features mid-market company Google ↗
Ada AI customer service automation pricing platform features 2026 Google ↗
Intercom Fin AI agent pricing per resolution 2026 Google ↗
- Fin AI Agent Pricing · fin.ai
- Fin and Intercom plans explained · intercom.com
- Fin AI Agent outcomes · intercom.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Intercept AI customer service chatbot platform pricing features mid-market company OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Ada AI customer service automation pricing platform features 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Intercom Fin AI agent pricing per resolution 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 |