AdZhi analyses your ad's hook, voice delivery, CTA energy, and persuasion structure — from the raw file, before you spend a penny on media. Results in under 3 minutes.
CTR and ROAS tell you the outcome. They tell you nothing about the causal factors in the creative. AdZhi starts with the raw audio waveform — measuring pitch, energy, and delivery quality at the signal level — so you know exactly what to fix before you run it.
Strong credibility signal. CTA energy is the critical issue.
AdZhi maps the entire script to named persuasion acts — Hook, Problem, Solution, Social Proof, CTA — scores each one, and identifies exactly what's missing and what the absence costs you.
Three rewrite variants with specific delivery direction, then a ready-to-send creative brief. Not "improve your CTA" — "re-record from 00:24 with 20% more energy and a direct imperative verb."
Every analysis runs automatically across acoustic, visual, linguistic, and structural layers. No configuration, no plugins, no setup. Upload a file and get a timestamped brief in under 3 minutes.
Pull your full creative library with spend, ROAS, and CTR. Prioritise by performance gap, then queue the underperformers for analysis in one click. Know exactly what to fix before the next flight.
Connect your TikTok Business account and pull your full creative library with performance data alongside. Spot which hooks are losing the scroll — and fix them before you re-run.
Paste any YouTube URL: your own ads, competitor ads, or research videos. No download needed. Analysis starts immediately.
Import a CSV of your ROAS, CTR, and spend data. AdZhi matches every row to an acoustic analysis and shows which signals predict results in your account.
Signed POST request fires when any job completes. Wire directly into Slack, Zapier, your CMS, or your own reporting system.
Full analysis as PDF. Hand it directly to a creator or attach to a client report. History exported as CSV for your own analysis.
A well-funded competitor can integrate a speech API in a sprint. What they can't replicate in 3 months — or 12 — is what accrues from operating the stack on real ad data.
Every account that logs ROAS and CTR against AdZhi scores trains a per-account correlation model. Over time, AdZhi learns which specific acoustic signals predict performance for that audience and category. A competitor starting from zero has none of this. Account-specific intelligence cannot be copied — it has to be earned, data point by data point.
AdZhi measures 8+ acoustic features — spectral centroid, pitch variance, shimmer, zero-crossing rate, RMS energy, MFCCs, and more. Getting these features right for short-form ad creative — where a 3-second CTA drop is catastrophic — is different from general speech analysis. This calibration has been tuned iteratively against ad-specific patterns. Getting there requires the data, not just the algorithm.
A hook score of 7.2 means nothing without a reference population. AdZhi's fleet-wide benchmarks across all analyses give every score a percentile context — "top 18% of DTC skincare hooks analysed." A new entrant has no benchmark library. Their first score is context-free. Their hundredth score is still context-thin. Benchmarks require volume and time, not just engineering.
A team that has used AdZhi for six months has made decisions based on its output format. "We don't run anything with a hook below 6." "CTA intensity under 40 goes back for re-record." These internal norms are encoded against AdZhi's specific scoring system. Switching to a new tool means recalibrating every threshold, every norm, and every brief template the team has built. That friction compounds with every passing month.
We're not claiming this moat is impenetrable — we're claiming it takes longer than 3 months to replicate. The data flywheel, benchmark library, and per-account intelligence are real structural advantages that widen as AdZhi is used.
Upload a video, paste a YouTube URL, or connect Meta or TikTok and pull your full library. Results in under three minutes.