Generated from Auto-LaTeX Equations's audit data
Auto-LaTeX Equations scores 67/100 across 6 category checks, which tracks in the middle band, with 3 of 6 categories below the headline. Strengths: title optimization holds at 88/100, so the listing isn't fundamentally broken — the lift is in tightening specific weaknesses. Watch-items: languages (0/100) and technical & support (42/100) drag the average down; lifting languages is the single largest available lever. Per-category breakdown below.
This is an independent listing audit for Auto-LaTeX Equations on Google Workspace. It scored 67/100 (grade C) on today's snapshot. Top strength: Visual Assets at 88/100. Biggest gap: Languages at 0/100. We re-audit every 24 hours from the canonical Google Workspace listing.
Six weighted areas, pass / warning / fail per check, tiers at 85 / 65. Full methodology · Glossary
Last updated: September 10, 2026
Auto-LaTeX Equations's overall score of 67/100 is a mid-tier result — the listing is functional but multiple categories have headroom, computed as the weighted average of 6 category checks. The spread is highly polarized across categories — 3 categories score above the headline number and 3 score below. The strongest category is Title Optimization (88/100, +21 vs overall); the weakest is Languages (0/100), a 67-point gap below the headline score — the largest single lever. Top three by score: Title Optimization (88), Visual Assets (88), Description & Content (80).
Scoring criteria, category weightings, and the full rubric (identical across every Google Workspace Marketplace listing AppRanks audits) are documented on the methodology page and the audit-score glossary entry. Disputes or data corrections: [email protected].
Auto-LaTeX Equations scored 67/100 in the AppRanks listing audit — a mid-tier result with room to improve. The score is the weighted average of 6 category checks: Title Optimization 88/100, Description & Content 80/100, Visual Assets 88/100, Categories & Discoverability 63/100, Technical & Support 42/100, Languages 0/100. Each category is scored against a fixed rubric that is identical for every app on the platform, so scores are directly comparable across Google_workspace listings.
Auto-LaTeX Equations's strongest audit area is Title Optimization, scored at 88/100. Of the 4 checks AppRanks runs in this category, 3 pass cleanly, with the remainder in warning rather than failing state. This is the dimension a competing listing would need to match before Auto-LaTeX Equations loses its current edge in this category.
The weakest area in Auto-LaTeX Equations's audit is Languages, scored at 0/100. The failing checks are language count, each with a concrete fix described below. Tightening this category is the highest-impact change available to the listing — its weight in the overall score makes it the lever most likely to move the headline number on the next refresh.