What is the best way to optimize our ProProfs knowledge base for search engines so older customers can easily find our legacy product guides on Google?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the best way to optimize our ProProfs knowledge base for search engines so older customers can easily find our legacy product guides on Google?
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.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
ProProfs Knowledge Base SEO settings sitemap robots canonical custom domain article URLs documentation Google ↗
Google Search Central SEO documentation sitemap redirects canonical helpful content structured data Google ↗
- Google Search Console · search.google.com
- SEO configuration guide · help.proprofskb.com
- Search · help.proprofskb.com
- SEO Starter Guide: The Basics | Google Search Central | Documentation | Google for Developers · developers.google.cn
- How to Specify a Canonical with rel="canonical" and Other Methods | Google Search Central | Documentation | Google for Developers · developers.google.com
- Redirects and Google Search | Google Search Central | Documentation | Google for Developers · developers.google.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
ProProfs Knowledge Base SEO settings sitemap robots canonical custom domain article URLs documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Google Search Central SEO documentation sitemap redirects canonical helpful content structured data OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |