Side-by-side comparison · 24 data points
Enhance AEO visibility with automatic LLMs.txt generation, crawler control & updates for AI chatbots
| Avada AEO optimizer LLMs.txt | MIT Custom Robots.txt Rules | |
|---|---|---|
| Tagline | ||
| Description | ||
| Screenshots | images | images |
| Languages | ||
| Platforms | ||
| Developer | ||
| Listed | ||
| Last updated | — | — |
Edit the default robots.txt file using a simple editor without coding.
| Metric | Avada AEO optimizer LLMs.txt | MIT Custom Robots.txt Rules |
|---|---|---|
| Rating | 5.0 ★ | — |
| Total reviews | 386 | 0 |
| Free plan | Yes | Yes |
| Pricing | Free plan available | Free plan available |
| Built for Shopify | ★ Yes | — |
| Pricing tiers | — | 1 tier |
| Listed features | 5 | 5 |
| Languages | 1 supported | 1 supported |
| Listed since | Jul 2025 | Oct 2025 |
Based on the data on this page, Avada AEO optimizer LLMs.txt is the stronger choice for most Shopify App Store merchants — 5.0★ vs MIT Custom Robots.txt Rules's 0.0★ is a meaningful gap that usually reflects real product or support quality differences across the user base. Pricing entry tiers: Avada AEO optimizer LLMs.txt at Free plan available, MIT Custom Robots.txt Rules at Free plan available. Check each app's tier structure for the capacity limits you actually need before deciding — the headline number is the same shape, but the gating shape per tier (apps, orders, integrations) varies. Avada AEO optimizer LLMs.txt has the larger user base (386 reviews vs 0), which usually maps to broader integration coverage, faster bug-fix cadence, and a deeper bench of community workflow patterns. MIT Custom Robots.txt Rules's smaller cohort can be an advantage for niche workflows where the bigger app has accumulated bloat. Recommended by store size: small/early-stage merchants who need fast install and low risk should default to Avada AEO optimizer LLMs.txt; mid-market and enterprise merchants with specific feature requirements should evaluate both — MIT Custom Robots.txt Rules's 0-review base may include the workflow context that matches your specific use case better than Avada AEO optimizer LLMs.txt's broader-but-shallower coverage. This verdict is generated from the live marketplace data on this page — rating, review count, pricing tier, and category position all refresh from the canonical Shopify App Store listing every 24 hours. AppRanks does not accept payment to influence comparison outcomes; the methodology is documented on the About page and applies identically to every pair on the site.
Read each app's audit: Avada AEO optimizer LLMs.txt audit • MIT Custom Robots.txt Rules audit
| Keyword | Avada AEO optimizer LLMs.txt | MIT Custom Robots.txt Rules |
|---|---|---|
| optimizer | #1 | Not ranked |
| optimization | #1 | Not ranked |
| ai seo | #10 | Not ranked |
| customer support tool | Not ranked | #225 |
| customer engagement chatbot | Not ranked | #239 |
Both Avada AEO optimizer LLMs.txt and MIT Custom Robots.txt Rules offer paid plans only. Avada AEO optimizer LLMs.txt starts at Free plan available; MIT Custom Robots.txt Rules starts at Free plan available. Compare the per-tier features in the Pricing section above before committing.
It depends on what you're optimizing for. Avada AEO optimizer LLMs.txt fits better if you prioritize rating consistency; MIT Custom Robots.txt Rules is the call if you need the larger user base. Read both apps' detail pages on AppRanks for the full feature breakdown, install counts, and recent listing changes.
Both apps are one-click installs from the Shopify App Store marketplace. Avada AEO optimizer LLMs.txt has more onboarding documentation maturity (386 reviews vs 0), which usually translates to better-tested setup wizards and quicker time-to-value. AppRanks doesn't measure setup time directly — read the recent reviews on each app's detail page for merchant-reported install experience.
Avada AEO optimizer LLMs.txt typically suits early-stage and growth-mode stores based on its review-base composition (386 reviews). MIT Custom Robots.txt Rules aligns more with early-stage and growth-mode stores (0 reviews). Larger review bases generally mean the app has been load-tested at scale — relevant if you're processing high order volume or handling enterprise compliance requirements.
Migration support varies by app and category. Avada AEO optimizer LLMs.txt and MIT Custom Robots.txt Rules both publish their export options on their marketplace listing pages (or in their support docs); some apps offer one-click import from competitors, others require CSV. The fastest check: search "import from MIT Custom Robots.txt Rules" in each app's help center. AppRanks does not track migration tooling directly — this is a category-specific capability worth verifying before commitment.
