Feature — AI Shopify optimization
AI That Finds Shopify Fixes — Not Just Insights
DynoWeb's 3-layer AI engine analyses behavioral data, ranks revenue-leaking gaps by ROI, and delivers a dev-ready fix — file path, diff, and projected lift. The leap from 'I can see the problem' to 'I know exactly what to change.'
- 3-layer AI engine
- Ranked by ROI
- Theme + code paths
- Projected lift per fix
The engine
Three intelligence layers from signal to fix
Most tools stop at surfacing data. DynoWeb runs a rule engine, statistical pattern detection, and an LLM in sequence — so what reaches you is a change to ship, not another chart to read.
Layer 1 — Rules
17+ deterministic UX rules
Layer 2 — Patterns
Statistically-tested detection
Layer 3 — LLM
Gemini reasoning
Scoring & gating
Why the right fix rises to the top
Every candidate is scored on five factors, then held to a stability bar before it's ever shown to you.
PECTI score
Five factors decide priority
Illustrative PECTI breakdown for one suggestion. Proof, Ease, Cost, Time, and Impact combine into the rank — so a high-impact, low-effort fix beats a flashy but expensive one.
Stability gate
Tier badges
SEO-safety badge
Projected lift
The queue
A prioritised list, not a pile of charts
Every revenue-leaking gap DynoWeb detects lands in a single ranked queue. The highest-ROI fix sits at the top, each with an expected-impact rating and a difficulty badge — so you always know what to work on next instead of drowning in dashboards.
- Sorted by projected revenue impact
- Difficulty badges separate quick wins from dev tasks
- Grouped by page and theme so related fixes stay together
Inside a suggestion
Every recommendation comes with its evidence
Open any suggestion and you see exactly why it was generated — the impressions, clicks, CTR, and matching session replays behind it. No black box. You trust the fix because you can see the behavior that produced it.
- The behavioral evidence, in plain numbers
- Matching session replays one click away
- An expected-impact rating and difficulty badge
Implementation — no code
A theme-editor walkthrough anyone can follow
For non-technical merchants, every fix includes a numbered, click-by-click theme-editor guide. Find the section, change the setting, save — no developer required for most changes.
- Step-by-step instructions tied to your theme
- No code, no tag manager, no guesswork
- Preview on a draft theme before it goes live
Implementation — for devs
The exact file path and diff for your developer
When a change needs code, DynoWeb hands your developer a precise spec: the file to touch and the before/after diff, with a one-click copy. Ship technical fixes in minutes, with zero ambiguity.
- Exact theme file path
- Before/after code diff, copy-ready
- Pull it into Cursor or Claude via MCP
Inside a suggestion
What every recommendation includes
The evidence
Expected impact
Difficulty badge
Two paths to ship
Common questions
AI suggestions — frequently asked
How does DynoWeb's AI generate fix suggestions?
DynoWeb runs three intelligence layers in order: a rule engine (17+ deterministic UX checks), statistical pattern detection (frustration clusters, scroll cliffs and mobile gaps, each confirmed with a two-proportion z-test), and an LLM (Gemini) that reasons over pre-computed page contexts to draft the fix. Every candidate is then scored with PECTI — Proof, Ease, Cost, Time, Impact — and must clear a stability gate (appear in 2+ runs) before it's shown. The result is a ranked, evidence-backed fix with a theme-editor walkthrough and a code diff, not just an insight.
Are the AI suggestions actually specific to my store?
Yes. Suggestions are generated from your store's own behavioral data and your theme — not generic ecommerce advice. The evidence panel shows the exact impressions, clicks, and session replays behind each recommendation, so every fix is grounded in what your real visitors did.
Do I have to apply the fixes automatically?
No. DynoWeb never pushes changes to your live theme on its own. Each suggestion opens into an implementation guide you control — make the change in the theme editor yourself, or hand the code diff to your developer. You stay in charge of what ships.
What does 'projected lift' mean?
Projected lift is DynoWeb's estimate of how much a given fix is likely to improve conversion or revenue, based on the behavioral evidence and the page's traffic. It helps you decide which fixes are worth prioritising, and after you ship, revenue attribution shows the actual result.
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MCP Integration
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Replace your CRO agency
AI fixes without the agency price tag.
Shopify CRO Guide
The complete optimization loop.
Try DynoWeb
From behavioral data to dev-ready fix
DynoWeb's AI doesn't just tell you something is wrong — it tells you exactly what to change, how, and what it's worth. Install free and watch it work on your store.