Cloud Native Startup
AI recommendation signal analysis across 94 domains for the Cloud Native Startup persona in Data Warehouse Lakehouse Platforms.
This report tracks how AI models and search engines recommend companies across 100 industries. If you want the same analysis run specifically against your own site and competitors, get in touch.
Get in touch →How to use this page
See what AI reads before it answers
Fanout queries are the web searches a model runs mid-answer. The pages it retrieves and cites are the sources shaping its recommendations, so treat the citation lists as your target list for earning coverage, mentions, and links.
Where the numbers come from
Scoped to the runs where models used web search. Same rank-weighted scoring as LLM Search Visibility, plus every URL the searches retrieved (citation sources) and every URL actually cited in answers (citations), aggregated by frequency.
What's on this page
Domain rankings for web-search-augmented runs and the full citation and citation-source URL lists, filterable by model.
Top LLM-recommended domains
How often AI models recommended each domain specifically via web-search fanout queries when answering Cloud Native Startup queries, a subset of the runs behind the main LLM Search Visibility report, not the full combined dataset. The left chart shows raw recommendation counts, the right shows what percentage of queries included that domain.
Score (below) is the primary ranking metric: a weighted-reciprocal-rank sum across every model and run, where each model's contribution is scaled by that model's influence weight.
Only these five models ran web-search fanout queries. The checkboxes filter these charts and the Citations / Citation Sources lists below; updates automatically as you check/uncheck.
Citations
Every URL the models actually cited in their final answers to Cloud Native Startup fanout queries, aggregated by how often each URL was cited. Filtered by the model checkboxes above.
Citation sources
Every URL the models' web searches retrieved while answering: the wider pool the citations above were drawn from, aggregated the same way and filtered by the same model checkboxes.
Compare two models
Pick a model for each column to compare their recommendation patterns side by side.
All recommended domains
Every domain the AI models recommended in web-search fanout runs for Cloud Native Startup, ranked by the influence-weighted score from the Score chart above, with each domain's link authority from the Common Crawl web graph. Click a domain for its site profile.
| Domain | Score | Appearances | % of Queries | Domain PR | Domain HC | Host PR | Host HC |
|---|---|---|---|---|---|---|---|
| snowflake.com | 9.1 | 5 | 10.0 | 51 | 97 | 22 | 95 |
| databricks.com | 3.9 | 5 | 10.0 | 50 | 97 | 32 | 95 |
| cloud.google.com | 2.9 | 3 | 6.0 | 0 | 0 | 0 | 0 |
| motherduck.com | 1.7 | 5 | 10.0 | 29 | 95 | 25 | 95 |
| clickhouse.com | 1.1 | 5 | 10.0 | 48 | 96 | 38 | 95 |
| aws.amazon.com | 0.8 | 3 | 6.0 | 0 | 0 | 0 | 0 |
| dremio.com | 0.5 | 5 | 10.0 | 30 | 96 | 9 | 95 |
| firebolt.io | 0.5 | 4 | 8.0 | 25 | 95 | 2 | 94 |
| bigquery.google.com | 0.4 | 1 | 2.0 | 0 | 0 | 0 | 0 |
| starburst.io | 0.2 | 2 | 4.0 | 31 | 96 | 9 | 94 |
| redshift.aws.amazon.com | 0.2 | 2 | 4.0 | 0 | 0 | 0 | 0 |
| microsoft.com | 0.2 | 1 | 2.0 | 80 | 97 | 48 | 96 |
| bigquery.cloud.google.com | 0.1 | 1 | 2.0 | 0 | 0 | 0 | 0 |
| onehouse.ai | 0.1 | 1 | 2.0 | 22 | 95 | 1 | 94 |
| getdefinite.app | 0.1 | 1 | 2.0 | 0 | 0 | 0 | 0 |
| singlestore.com | 0.1 | 1 | 2.0 | 36 | 96 | 13 | 94 |
| azure.microsoft.com | 0.1 | 1 | 2.0 | 0 | 0 | 56 | 96 |
| tinybird.co | 0.1 | 1 | 2.0 | 29 | 95 | 11 | 95 |
| fabric.microsoft.com | 0.0 | 1 | 2.0 | 0 | 0 | 14 | 95 |
| teradata.com | 0.0 | 1 | 2.0 | 44 | 96 | 13 | 95 |
| iceberg.apache.org | 0.0 | 1 | 2.0 | 0 | 0 | 31 | 95 |