Twinql.AI
twinql.ai
Owning the AI-Overview shelf for natural-language analytics queries.
Headline result
+612%
AI-Overview citations · across ChatGPT, Perplexity, Gemini
The challenge
A young AI SaaS launching in a category dominated by Snowflake-tier incumbents and noisy ChatGPT wrappers. Brand search was near zero, organic was non-existent, and AI engines were quoting competitors verbatim for every relevant prompt.
The approach
How we built it.
- 01
Mapped 220 commercial-intent prompts across ChatGPT, Perplexity, Gemini and Google AI Overviews.
- 02
Re-architected the IA into 4 pillars: Text-to-SQL, Data Agents, Semantic Layer, Trust & Governance.
- 03
Built a 60-page comparison + use-case matrix engineered for citation by LLMs (schema, sourceable claims, primary research).
- 04
Shipped a programmatic /benchmarks/ engine pitting Twinql against 14 competitors on reproducible queries.
What we shipped
- GEO content framework (LLM-citation playbook)
- Pillar + cluster site structure
- 60 long-form authority pages
- Schema.org SoftwareApplication + FAQ markup
- Monthly AI-visibility tracker
Priority keyword performance
| Query | Volume | Position | Intent |
|---|---|---|---|
| text to sql ai agent | 9.9k | #2 | BoFu |
| natural language to sql | 22k | #4 | MoFu |
| ai data analyst tool | 6.6k | #3 | BoFu |
| snowflake cortex alternative | 1.3k | #1 | BoFu |
Outcomes
+612%
AI-Overview citations
across ChatGPT, Perplexity, Gemini
4.1k/mo
Organic signups
from 38/mo at start
+940%
Branded search
$186k/qtr
Paid CAC offset
12-month traffic build
Q1
Audit + GEO framework
Q2
Pillar pages live
Q3
Programmatic benchmarks
Q4
Citation flywheel
Indexed organic sessions, normalised to 100
"Adocentral didn't just rank us - they made us the answer LLMs reach for."