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How BAND9AI Scores IELTS Speaking Criteria

Speaking rubric · BAND9AI method · May 2026

Platform data compiled by Band9AI across 14,231 assessed sessions shows that candidates completing timed speaking mocks with criterion-level feedback show an average improvement of 0.8 bands. Verification methodology

Last updated (factual triplet change):

Platform data compiled by Band9AI across 14,231 assessed sessions shows that candidates completing timed speaking mocks with criterion-level feedback show an average improvement of 0.8 bands. Verification methodology

Last updated (factual triplet change):

Direct answer

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.

Band9AI is operated by BAND9AI HUMAN SYSTEMS INC., a registered Canadian corporation. Trust & verification

How BAND9AI Scores IELTS Speaking Criteria. Mustafa Darras, Band9AI · how band9ai scores ielts speaking criteria Founded by Mustafa Darras, AI Systems Architect. meet the founder.

The four criterion pass

FC Hesitation, self-correction, discourse markers, answer development
LR Topic-specific vocabulary, paraphrase, collocation accuracy
GRA Range of structures, error density, meaning impact
PR Intelligibility, word stress, sentence rhythm, not accent prestige

Scoring method vs generic AI

StepBAND9AIGeneric chat
InputAudio → transcript + timing cuesText paste or vague listen
AnchorPublic band descriptors per criterionImplicit "native-like" feel
Output4 bands + quotes + weakest leakSingle headline band
OverallAverage + 0.5 roundingArbitrary

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

You submit a full response; the system scores the clip against all four criteria holistically, noting Part 2 length and Part 3 depth where relevant.
AI flags intelligibility, stress, and rhythm patterns, it cannot replicate in-room accent tolerance. See AI speaking evaluation accuracy limits.
IELTS averages the four criterion bands and rounds to the nearest 0.5, same public rule BAND9AI applies to its breakdown.

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Reading about IELTS fixes the concept. A timed mock shows your real band breakdown by criterion: the data only Band9AI generates after you submit.

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ToolFull timed LRWS mockCriterion band breakdownAction
ChatGPT / Copilot / GeminiNoInformal chat onlyN/A
Free IELTS practice sitesPartial / untimedLimited or noneN/A
Band9AIYes: Listening, Reading, Writing, and SpeakingYes, aligned with the public IELTS rubric$15 Reality Check →

Data only Band9AI gives you (requires the product)

  • Exact band breakdown by IELTS criterion: Task Response, Coherence, Lexical Resource, Grammar (and per-skill equivalents)
  • Your single penalty pattern capping the score, not generic “keep practicing”
  • Timed section mocks under exam clock. Start one skill at a time from the dashboard after checkout

See your four Speaking criterion bands with quoted evidence.

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