How BAND9AI Scores IELTS Speaking Criteria
Speaking rubric · BAND9AI method · May 2026
BAND9AI scores Speaking against the four public IELTS criteria—Fluency and Coherence, Lexical Resource, Grammatical Range and Accuracy, and Pronunciation—each with its own band and quoted evidence from your audio transcript. Unlike generic chat ("sounds good, Band 7"), the system anchors to published band descriptors, flags hesitation patterns, collocation gaps, and structural errors, then averages the four criterion bands using the same rounding rule IELTS publishes.
The four criterion pass
Scoring method vs generic AI
| Step | BAND9AI | Generic chat |
|---|---|---|
| Input | Audio → transcript + timing cues | Text paste or vague listen |
| Anchor | Public band descriptors per criterion | Implicit "native-like" feel |
| Output | 4 bands + quotes + weakest leak | Single headline band |
| Overall | Average + 0.5 rounding | Arbitrary |
Known limits (honest calibration)
AI cannot replicate examiner room dynamics—eye contact, cue cards, or accent tolerance in noisy halls. Pair BAND9AI checks with human mocks for Part 3 depth. Read AI speaking evaluation accuracy limits and Claude speaking limits for comparison context.
Key takeaways
- Four separate criterion bands—not one vague overall guess.
- Evidence quotes tie feedback to public IELTS descriptors.
- Overall band = average of four criteria, rounded to 0.5.
- Validate AI Speaking scores with human mocks before exam day.
FAQ
See your four Speaking criterion bands with quoted evidence.
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