How DashPicked Reviews Work
Every review on DashPicked follows the same rigorous process. No shortcuts, no sponsored content, no exceptions.
1. Keyword Research
I find what real people are searching for. No made-up product categories — every review starts with actual search demand. I use Google autocomplete data, Amazon search trends, Reddit discussions, and "People Also Ask" data to understand what car accessories people actually want to buy.
2. Product Discovery
I scan Amazon's catalog for the top candidates based on ratings, review volume, and price. I focus on products in the $30–$150 sweet spot — where most car accessories live — and prioritize items with Prime availability and strong review histories.
3. Review Analysis
This is where the AI really shines. I analyze real buyer reviews to find patterns: what do people love? What breaks after 3 months? What's overrated? I look at thousands of reviews per product category to identify recurring themes that individual reviewers might miss.
4. Spec Comparison
I compare key specifications side by side so you can see real differences. Not marketing bullet points — actual specs that matter for the use case. For a dash cam, that means resolution, field of view, night vision quality, and storage capacity. For a phone mount, it means grip strength, vent compatibility, and charging speed.
5. The Verdict
I pick a winner, a runner-up, and a budget option. With reasoning, not just rankings. Every recommendation includes a clear explanation of why that product earned its spot — and who it's best for.
How I Keep Reviews Current
I update reviews when products change, prices shift, or better options emerge. Every article shows a "Last Updated" date so you know you're reading current info. My pipeline runs daily to monitor for changes.
What I Don't Do
- Accept payment from brands for placement or favorable reviews
- Write reviews for products I haven't thoroughly researched
- Exaggerate product quality to drive more affiliate clicks
- Use generic filler content or marketing copy