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How to Actually Improve AI Visibility (GEO) — A Practical Research + Action Walkthrough
Hey fam!
Thanks for all the support and interest for Citable! We're super excited to help you out along the GEO journey hands on)
During our launch, a lot of you asked very real, non-hype questions about AI visibility and GEO. Instead of answering them one by one in comments (which we did, but not enough), we re opening this up as a shared walkthrough on how to research GEO properly and turn it into measurable action.
Here are the exact questions people have been asking us:
How is GEO actually different from SEO? What signals do LLMs care about?
How do you know which prompts are worth optimizing before spending time or money?
How do you separate being mentioned from being trusted or recommended ?
How do you track impact when models are non-deterministic and drift over time?
How do actions like Reddit posts, blogs, or LinkedIn content actually move AI answers?
How do you prioritize when ChatGPT, Perplexity, and Gemini disagree?
Is this just analytics, or can you actually improve outcomes?
We ll walk through how we approach these questions step by step, using Citable as the working tool among others:
How would you use AI to automate insights from multiple data sources? 🤔
Hi PH community!
We've been steadily improving Tower over the past few months, with huge progress since 2024.
Tower now connects directly to your data, automatically builds semantics, transformations, and dashboards, and generates actionable insights in minutes.
New in 2025.10:
Tower Pipelines: Combine multiple sources (HubSpot, Snowflake, Airtable, Excel, Databricks, MS SQL, Tally Prime, and more) without a separate ETL tool
Tablet Apps: AI-native dashboards for iOS & Android
Smarter AI analytics & new connectors
Intelligent data transforms
Tons of performance and UI/UX improvements


