OmniDetect vs Optima

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

OmniDetect compared with Optima
Detail	OmniDetect	Optima
What it does	Free AI content detector that shows which passages read as AI, how strongly, and what to change before you submit.	Build custom benchmarks to compare frontier models on performance, cost, and time efficiency for your specific tasks
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	US
Pricing model	Freemium	Not given
Pricing	Free tier: up to 2,000 characters preview or 2,500 Word Tokens for account holders. $9.99 7-Day Pass: 30,000 Word Tokens valid for seven days, includes passage-level revision guidance and re-check loop.	Token usage for creating and running benchmarks at raw model cost. Rubric grading: $0.002 per criterion per model (standard judges) or $0.040 per criterion (premium judges), $0.10 on agentic tasks. Pairwise grading: $0.006 per match (standard, $0.150 premium), $0.015 per match on document tasks (sta
Key features	Multiple detection engines that route based on language accuracy rather than averaging Passage-level analysis showing which parts read as AI with evidence OmniScore from 0-100 with confidence breakdown by engine Re-check revised text within seven days using same Word Token balance Free guest access without signup or credit card required Published accuracy measurements including failure cases Support for multiple languages including English and Japanese Document management with ability to delete at any time	Custom benchmark builder with example-driven task creation Multiple evaluation types: Q&A, document analysis, agentic tasks, interactive conversations Run benchmarks across multiple frontier models simultaneously Cost and time per task metrics Standard and premium judge tiers for grading Rubric grading with custom criteria Deterministic objective grading No markup on model token costs
What makes it different	Shows evidence and limitations alongside results instead of just a score Routes to best engine per language rather than averaging detectors Guided revision workflow with re-check loop to improve flagged passages	Build benchmarks on your actual tasks and data instead of standardized tests Compare models across performance, cost, and time efficiency simultaneously Grading expertise from major AI evaluations
Community votes	0	0
DR (Domain Rating by Ahrefs)	9 no change since last check	84 −1 (down) since last check
Trust Flow (Majestic)	6	28
Citation Flow (Majestic)	31	59
Referring domains (Majestic)	109	17353

4 details filled in for both companies.

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