Methodology

How we select which tools to include

We are a decision-making engine, not an exhaustive directory. Inclusion is editorial — every tool in the catalog has cleared three explicit gates before it gets a page.

1. AI-native gate. The tool is either AI-native (the product cannot exist without machine learning) or ships AI as a headline feature, not as a bolted-on label. Wrappers around third-party APIs that add no real workflow value are rejected. This gate was codified on 2026-04-27 after a manual sweep softhid 30+ entries that were AI-adjacent rather than AI-native.
2. Traction gate. The tool has at least one of: meaningful public usage signal (GitHub stars, paying customers named on the site, ProductHunt traction), serious financial backing, or a verifiable team behind it. Stealth landing pages without a working product are rejected.
3. Editorial-fit gate. The tool genuinely helps a category of user make a better decision than the next-best alternative. Pure clones with no differentiation get merged into a comparison page rather than a standalone listing.

How editorial verdicts are written

Every tool page carries an independent editorial verdict — our honest assessment of who should and should not use it, what failure modes to expect, and what to pilot before committing. The process is the same for every tool, regardless of affiliate status:

• Primary-source verification.Pricing, features, integrations, and limitations are pulled directly from the vendor's site, docs, and changelog — never from second-hand reviews.
• Competitive positioning. Each verdict explicitly names the closest 1–3 alternatives and explains the trade-off, so readers can see where the tool wins and where it loses.
• Failure-mode honesty.Every verdict includes a “not ideal for” section and a “what to pilot” section. We do not write verdicts that read like marketing copy.
• No vendor edits. Tool vendors do not see verdicts before publication and cannot request changes to editorial language. Factual corrections (a wrong price, a missing integration) are accepted; opinion edits are not.

How affiliate disclosure works

We disclose affiliate relationships at three layers, in line with the FTC's 16 CFR Part 255 endorsement guidelines:

• Page level. An inline disclosure block appears above the primary CTA on every tool page that carries an affiliate link. The disclosure is visible without scrolling — not buried in the footer.
• Sitewide. This methodology page and the privacy policy both disclose the affiliate relationship explicitly, naming the program (PartnerStack, Impact, direct vendor programs) where applicable.
• Editorial separation.Affiliate revenue does not influence inclusion, ranking, or verdict language. Sponsored placements (when they exist) carry a visible “Sponsored” badge and are excluded from organic rankings.

StackBack — sharing affiliate revenue back with users

StackBack is RightAIChoice's closed-loop loyalty programme, launching within the coming weeks. The mechanic is simple and disclosed up front: when a logged-in user signs up for a paid AI tool through one of our affiliate links and the vendor pays us a commission, we share 50% of that commission back to the user as a gift card delivered via Tremendous (Amazon, Visa, Apple, hundreds of brands — the user picks).

Why we're building it. Affiliate-funded discovery sites have a well-known incentive problem: revenue scales with conversions, which can quietly bias rankings toward whoever pays the highest commission. StackBack flips that — the user's incentive to convert is partly aligned with ours, and the editorial team has no reason to bias picks because the user gets paid either way.

Disclosure on every page from launch. Once StackBack is live, every affiliate-bearing CTA will surface the cash-back amount inline before checkout, the user dashboard will show pending and approved rebates, and the methodology section here will be updated with the exact percentage and payout timing.

Update cadence — keeping prices and features honest

Stale data is the single fastest way to lose user trust on a discovery site. We treat data freshness as a P0 product concern, not a content-ops afterthought.

• Pricing re-verification:rolling 90-day cycle on every tool, accelerated to 14 days after any pricing-change signal in the vendor's blog or RSS.
• Features and integrations: verified at the time the page is written and re-checked on the same 90-day cycle, with the most recent verification timestamp surfaced on the tool page.
• FAQ refresh: auto-generated FAQs are regenerated every 48 hours from current Reddit, ProductHunt, and G2 signal so the questions reflect what real users are asking right now.
• Editorial verdict refresh:reviewed annually at minimum, and immediately after any vendor event that changes the product's position (acquisition, major pricing change, headline feature ship).
• Spotting our own errors:every tool page has a “Report” flow. Reader-flagged inaccuracies are triaged within 72 hours.

Who's behind this

RightAIChoice is run by Tanmay Verma (Founder & Editor-in-Chief). Every editorial decision — what to include, how to rank, what to say — is owned by a real human with a public byline. Reach out at hello@rightaichoice.com for editorial corrections, partnership inquiries, or feedback.