---
title: Audit Engines
description: How Apptonomy's specialized audit engines analyze your app store listing across keywords, visuals, metadata, compliance, and AI discoverability.
---

Every Apptonomy audit runs a set of specialized engines in parallel. Each engine analyzes a different dimension of your app store listing and produces scored findings with prioritized recommendations. The results are synthesized into a single unified report with an ASO Readiness Score (0-100).

## Engines

| Engine | What It Analyzes |
|--------|-----------------|
| [Keyword Engine](/docs/audit-engines/keyword-engine) | Keyword gaps and opportunities across your app and 10 competitors |
| [Search Term Engine](/docs/audit-engines/search-term-engine) | Predicted natural-language queries real users type when looking for an app like yours |
| [Screenshot Engine](/docs/audit-engines/screenshot-engine) | Screenshot effectiveness across clarity, coverage, and consistency |
| [Icon Engine](/docs/audit-engines/icon-engine) | Icon quality across visual clarity, brand clarity, color psychology, and consistency |
| [Sentiment Engine](/docs/audit-engines/sentiment-engine) | User review sentiment, topics, feature-level mapping, and trends |
| [Store Text Engine](/docs/audit-engines/store-text-engine) | Title, subtitle, and description optimization with semantic keyword clustering |
| [Competitor Discovery Engine](/docs/audit-engines/competitor-discovery-engine) | Automated identification of your 10 most relevant competitors |
| [Policy Checker](/docs/audit-engines/policy-checker) | Store policy compliance including prohibited terms, misleading claims, and trademarks |
| [AI Discovery Engine](/docs/audit-engines/ai-discovery-engine) | App visibility across ChatGPT, Gemini, Claude, Perplexity, and Google AI Overviews |
| [Intent Engine](/docs/audit-engines/intent-engine) | User intent coverage gaps and competitive intent mapping |
| [Localization Analysis Engine](/docs/audit-engines/localization-analysis-engine) | Store listing localization coverage across 22 commercially significant languages |

## How Engines Work Together

The Audit Engine orchestrator spins up all engines in parallel and synthesizes their findings. Several engines feed data to others:

- The **Competitor Discovery Engine** identifies 10 competitors used by the Keyword Engine, Screenshot Engine, Icon Engine, and Sentiment Engine for benchmarking.
- The **Keyword Engine** provides keyword data used by the Store Text Engine for semantic clustering and per-field analysis.
- The **Sentiment Engine** extracts user intents from reviews that feed into the Intent Engine.
- The **Intent Engine** provides intent data used by the AI Discovery Engine for prompt generation and coverage mapping.

Each engine produces an individual score (0-100) that contributes to the overall ASO Readiness Score.

## From engine scores to the readiness score

The **ASO Readiness Score** (0-100) is a weighted average of the scored engines' individual scores. Each engine carries its own weight — the discoverability, conversion, and trust drivers carry the most, with the rest weighted below them. When an engine can't produce a score for a given app (for example, a brand-new listing with too few reviews for the Sentiment Engine), its weight is redistributed proportionally across the engines that did score, so the overall stays on a 0-100 scale rather than being penalized for missing data.

Alongside the overall score, engine results are grouped into four **pillars** for reading — a presentation layer that tells you *where* your ASO stands, not a separate calculation:

- **Discoverability** — keyword-driven and search-driven visibility.
- **Conversion** — turning store visits into installs (visuals and copy that close).
- **Trust** — review sentiment and signal quality.
- **AI Discoverability** — presence in LLM-powered search and recommendations.

The pillars are derived from the engine scores for display; the overall readiness score is computed directly from the engine weights, not by averaging the pillars. Localization is a scored engine that feeds the overall score directly rather than a fifth pillar.

For the full breakdown — exact engine weights, how each pillar is composed, and how to interpret a score — see [Understanding your report](/docs/audits/understanding-your-report#how-the-score-is-composed).