Review SEO, AEO, GEO, AI-readability, page structure, and technical opportunities.
Founder Workflow
How We Use TruboRankAI to Improve TruboRankAI
TruboRankAI is built for websites that want to be easier for search engines and AI systems to understand. We use the same product workflow on our own website to decide what to improve, what to monitor, and where the next opportunities may be.
Founder WorkflowEvidence-Based
This is not a claim that TruboRankAI has solved every visibility challenge for its own website. It is a transparent look at how the product is used to identify priorities, test improvements, and learn from real operating data.
Context
Why dogfooding matters
A product that helps websites improve visibility should be used on its own website.
That means using the same scans, tracking, search insights, content planning tools, and implementation guidance that customers use. It also means being honest when a signal is early, incomplete, or still being tested.
Workflow
The workflow we use
Use Google Search Console data to understand existing queries, page movement, and possible content gaps.
Monitor search and AI crawler activity to see what systems are reaching the website.
Use page signals, search intent, tools, and AI assistance to decide what pages should be improved or created.
Strengthen pages that explain the product, use cases, tools, integrations, and AI-readable resources.
Review whether changes produce stronger discovery signals over time, then improve again.
Operating discipline
What this workflow helps us avoid
- Publishing pages without a clear user or search purpose
- Treating crawler visits as certain rankings
- Making technical changes without checking whether they can be discovered
- Building product features without testing them on a real operating website
- Relying on vague AI visibility claims without evidence
Product learning
What we learn from using our own product
Using TruboRankAI internally helps us understand where the product is useful, where explanations need to be clearer, and which workflows need better guidance.
It also keeps product decisions connected to practical website work instead of theory alone.
Continuing work
What we are continuing to improve
- Product pages that need clearer intent and explanations
- AI-readable public documentation
- Search opportunity discovery
- Crawler tracking context
- Practical implementation guidance for users
Evidence standards
How we document these studies
We separate what was changed, what was observed, and what cannot yet be attributed with certainty. This keeps each study useful without turning incomplete signals into exaggerated claims.
Use the same workflow on your website
Start with a scan, review your visibility signals, and turn the findings into practical next steps.