Kagi Search vs Scira vs Perplexity AI vs Liner

A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.

Kagi Search Paid search engine with AI features Visit Scira Open-source AI search with citations — now has a $15/mo Pro tier Visit Perplexity AI The answer engine that cites its sources on every live web query Visit Liner AI research search with per-line citations across 200M+ sources Visit
RECATOOLS Score 7.8 / 10 6.5 / 10 8.4 / 10 6.7 / 10
Capability 8 6 8 7
Value for money 7 8 8 6
Ease of use 8 7 9 8
ASEAN readiness 6.5 6 6 6
API quality 6.5 0 7 0
Pricing Subscription Open Source Freemium Freemium
Free tier Unlimited basic searches with standard model
Paid from $20/month (Pro); $200/month (Max, launched July 2025)
Has API
Open source
Free to use
Users 30M+ standalone monthly active users (100M+ across all products, 2026)
Founded 2018 2022
Maker Aravind Srinivas, Denis Yarats, Johnny Ho, Andy Konwinski
Verdict

Kagi is a subscription search engine that trades ads for a flat fee, and the result quality, lack of clutter, and customisation (site ranking, lenses, integrated AI answers) are genuinely a step above mainstream search f...

Scira remains one of the cleanest open-source takes on cited AI search: AGPL-3.0 licensed, over 7,000 GitHub stars, self-hostable, and genuinely useful as a reference for anyone who wants to see how a Perplexity-style an...

Perplexity remains the strongest citation-first answer engine: every query triggers a live web search and each sentence links to its sources, which makes verification fast in a way plain chatbots can't match. The free ti...

Liner earns its keep on citation traceability — every claim links back to a specific line in a specific source, and Scholar mode narrows that source pool to academic literature with one-click APA/MLA/Chicago export. For...

Full review → Full review → Full review → Full review →
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.