Great Expectations · Technology
What AI says about Great Expectations in Technology
41 mentions · 40 prompts · last seen Oct 8, 2026
Prompts in this category
Brands:Airflow,
Dagster,
Prefect,
dbt,
Prometheus
Brands:Airflow,
Dagster,
Prefect,
Kafka,
Kinesis
Brands:Snowflake,
Bigquery,
Fivetran,
Airbyte,Debezium
Brands:Fivetran,
Airbyte,
Kafka,
Confluent,Redpanda
Brands:Apache Airflow,
Prefect,
Dagster,
Luigi,
dbt
Brands:Great Expectations,Pandera,
dbt,
Airflow,
Spark
Brands:dbt,
Great Expectations,
Fivetran,
Airflow
Brands:Kafka,Schema Registry,
Confluent,Apicurio,Debezium
Brands:Great Expectations,
Airflow,
Dagster,
Prefect,
Cloudwatch
Brands:Monte Carlo,
Datadog,Bigeye,
dbt,
Airflow
Brands:Airbyte,
dbt,
Snowflake,
Bigquery,
Redshift
Brands:Snowflake,
Bigquery,
Redshift,
Databricks,
dbt
Brands:Salesforce,
HubSpot,
Dynamics,
NetSuite,
SAP
Brands:dbt,
Snowflake,
Bigquery,
Databricks,
Redshift
Brands:
Gcs,
Azure Blob,
Kafka,
Kinesis
Brands:Python,
Playwright,
Beautifulsoup,
Lxml,
Scrapy
Brands:Openrefine,
Python,
Pandas,
Great Expectations,Trifacta
Brands:Pydantic,
Great Expectations
Brands:Beautifulsoup,
Requests,
Playwright,
Selenium,
Scrapy
Brands:Python,
Pandas,
Beautifulsoup,
Lxml,Ftfy
Brands:Snowflake,
Bigquery,
Redshift,
Databricks,
dbt
Brands:Kubernetes,
Postgres,
Airflow,
Dagster
Brands:Airflow,
Prefect,
Dagster,
Scrapy,
Playwright
Brands:Gcs,
Azure Blob,
dbt,
Duckdb
Brands:Beautifulsoup,
Lxml,
Scrapy,
Pandas,
Pydantic
Brands:Snowflake,
Bigquery,Databricks Sql,
Redshift,Azure Synapse
Brands:Snowflake,
Bigquery,
Redshift,
Databricks,
Airflow
Brands:Soda Core,Great Expectations,Elementary,Metaplane,Openmetadata
Brands:Power Bi,Microsoft Fabric,
Tableau,
Looker,
Monte Carlo
Brands:Monte Carlo,Bigeye,Soda,
Great Expectations,
Datadog
Brands:Monte Carlo,Bigeye,Databand,
Ibm,
Datadog
Brands:Monte Carlo,Bigeye,Acceldata,Databand,Soda
Brands:Slack,
Teams,
PagerDuty,
Opsgenie,
Airflow
Brands:Monte Carlo,
Snowflake,
Bigquery,
Redshift,
Databricks
Brands:Snowflake,
Bigquery,
Redshift,Databricks Sql,
dbt
Brands:Monte Carlo,Bigeye,Databand,Soda,
Great Expectations
Brands:Airbyte,
Fivetran,
Meltano,
Dagster,
Airflow
Brands:Airflow,
Dagster,
Prefect,Argo,
Git
How did Obsurfable measure this?
Obsurfable records AI answers to buyer-style prompts in its research corpus (41 observations for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.