Show HN: Brand Stori – AI audits your website like an enterprise buyer in 2min

2 AnuraagTyagi 4 6/18/2025, 5:46:42 PM brandstori.ai ↗

Comments (4)

divy1234 · 4h ago
Just tried this out and the implementation is neat and easy to navigate! As an IT services business owner, I'm constantly facing this exact challenge before every marketing initiative we launch. It's always been difficult to step back and see our website through our prospects' eyes rather than our own.

The audit highlighted several gaps I hadn't considered, particularly around how we position our value proposition and whether our messaging immediately resonates with enterprise buyers. It's a solid way to get an objective baseline of where we actually stand versus where we think we stand

AnuraagTyagi · 3h ago
Thank you. Appriciate your feedback.
AnuraagTyagi · 4h ago
Hi HN! We built Brand Stori after analyzing 1000+ tech websites and discovering that most founders struggle to see their site through their buyers' eyes.

Brand Stori's AI takes a context-aware approach - it audits your homepage like an actual enterprise buyer would evaluate it, checking:

- Does the messaging immediately communicate value?

- Are pain points relevant to the target buyer?

- Is the positioning differentiated from competitors?

- Does the conversion flow match buyer expectations?

- Are trust signals placed where buyers look for them?

The insight: Most website audits are generic. But enterprise buyers have specific evaluation patterns and expectations that most founders miss.

Takes about 2 minutes to get a comprehensive audit with buyer-focused optimization recommendations.

Tech stack: We're using GPT-4 with custom prompts trained on enterprise buyer behavior patterns and B2B evaluation frameworks.

Offering 2 free audits per website, no credit card required for HN users.

What's been your biggest challenge in understanding how buyers actually evaluate your website? Would love feedback on the approach!

chiragkhanijau · 37m ago
whoa! this AI actually went through my site and semantically put them in sections and gave recommendations.