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Most review sites mix paid placements with hidden incentives and call it "objective." We built GYIBB to prove a different way is possible: every claim cited, every limit disclosed, every line of code open.
Every pro, con, and verdict is backed by a real user comment, video quote, or brand document. Hover or click any claim to see the source — username, upvotes, date, link to the original thread. When we don't know, we say so. When sources disagree, we surface the disagreement, not paper over it.
Brands cannot pay us to write a review, change a verdict, or suppress a finding. The only money we make is affiliate commission when readers choose to click through to a product they were already going to buy. Affiliate links are disclosed inline, sit after the verdict (never before), and only appear if the brand has a public affiliate program — no quiet kickbacks.
We don't track you. No analytics fingerprinting, no third-party cookies, no session replay, no behavioural ads. The site logs standard HTTP access for our own infrastructure (rate limits, error rates) — that's it. Affiliate-click redirects pass through our server only to count clicks; we don't follow you onto the merchant's site or build a profile.
A review needs a minimum of 10 user voices across at least 2 independent platforms before we publish it. Below that floor we shelve the product as "awaiting more data" — empty catalog beats a confident lie. Every published review is double-checked by an adversarial fact-checker (an LLM running with a strict contradict-me prompt) that hunts for unsupported claims; if it finds enough, the review is rejected before it goes live.
See how we work →The methodology page describes exactly how reviews are produced. Our free MCP server makes every verdict, source breakdown, and fact-check available to other AI agents — no API key, no gatekeeping, with proper attribution baked into every response. If a competing review aggregator wants to surface our work in their app, they can. If a researcher wants to audit our verdict on a product, they can — every cited source is public.
Four MCP tools, free →We publish our reject rate. We publish our blind spots (small niches, very new products, languages other than English). When a category is weak in our coverage we say so on the category page, rather than padding it with thin reviews. When a brand denies us API access we say that publicly too — being a truth engine means being honest about your own limitations.
✓ AI DOES THIS
✗ AI DOES NOT DO THIS
These principles aren't aspirational. If you find a review that violates one, write to [email protected] — we will fix it or take it down.
İsmail İbiloğlu
Founder, GYIBB