Goodie vs LLMrefs in 2026: Enterprise AEO vs €79/mo Agency Keyword Tracker
Twelve-model closed-loop AEO from $399/month, or eleven-engine keyword-first AI tracking with unlimited seats and projects from €79/month.
Goodie tracks up to twelve AI models on Enterprise, including ChatGPT, Gemini, Claude, Perplexity, Copilot, Meta AI, Grok, AI Overviews, AI Mode, DeepSeek, Amazon Rufus, Sparky. LLMrefs tracks eleven engines on one plan: ChatGPT, ChatGPT Search, AI Overviews, AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI, DeepSeek.
Goodie Explorer starts at $399/month for three engines, with Pro and Enterprise requiring a demo call. LLMrefs is one €79/month plan covering unlimited projects, unlimited seats, CSV export, and API access.
LLMrefs generates 25 fan-out prompts per keyword automatically based on real user conversation patterns. Goodie requires manual prompt configuration with 100 prompts on Explorer and 250+ on Pro.
Goodie includes an AEO Content Studio, Optimization Actions playbook, and revenue attribution. LLMrefs focuses on keyword-level share-of-voice, position metrics, and content gap analysis without execution layers.
For agencies, LLMrefs is purpose-built: unlimited projects, unlimited seats, API access, CSV export, geo-targeting across 50+ countries, and 10+ languages. Goodie restricts multi-brand tracking to Enterprise and locks API access behind the same tier.
How does Goodie compare to LLMrefs on revenue attribution? Goodie ties AI citations to Google Analytics conversions; LLMrefs focuses on the visibility data layer and lets you pipe it into your own BI tools via API.
Choosing between Goodie and LLMrefs is really a question about which workflow you want inside your AI visibility platform. Goodie is a closed-loop AEO platform built for enterprise brands, with twelve-model monitoring, optimization actions, agentic commerce visibility, and revenue attribution tied to Google Analytics. LLMrefs is a keyword-first AI search analytics platform with eleven engines, auto-generated fan-out prompts, unlimited projects and seats, and a 7-day free trial with no credit card, all on one €79/month plan. Both tools approach Generative Engine Optimization (GEO) from a monitoring-first perspective, but the depth-versus-breadth tradeoff is significant. Goodie is built for enterprise programmes that need execution layers and revenue proof. LLMrefs is built for agencies and in-house SEO teams who already maintain keyword lists and want to extend them into AI engines. The right pick depends on whether your programme needs full-stack AEO execution under one roof, or a low-friction way to add eleven AI engines to your existing keyword tracking workflow.
The tools at a glance
Goodie
End-to-end AEO platform covering 12 AI models with agentic commerce and revenue attribution
Goodie is the most complete AEO platform available, covering the full workflow: prompt research, monitoring across twelve AI models, a prioritized optimization actions playbook, agentic commerce visibility, crawler behavior analysis, AEO content generation, and revenue attribution connected to Google Analytics. The Explorer tier starts at $399/month for three engines and 100 prompts, with Pro and Enterprise requiring a demo call. Full twelve-model coverage is available only on Enterprise.
The closed-loop system is the platform's core differentiator. Beyond visibility data, Goodie delivers a prioritized list of optimization actions across owned and earned assets, an Agent Experience Suite that shows how AI crawlers actually traverse your site, an Agentic Commerce Suite for AI shopping surfaces, and a Content Studio that generates AEO-optimized content. For enterprise brands treating AI search as a serious channel with budget to prove ROI, this is the deepest tool in the category.
The accessibility trade-off is real. The Explorer tier is $399/month for just three engines, the Pro and Enterprise tiers require a sales conversation, the API is locked to Enterprise, and multi-brand tracking is Enterprise-only. Goodie also ships an MCP server on all plans including Explorer, which is useful for developer-led teams who want to pull visibility data into AI coding environments. For smaller budgets or solo consultants, the price curve cuts you off early.
| Feature | Explorer $399/mo | Pro Contact sales | Enterprise Contact sales |
|---|---|---|---|
| AI engines tracked | 3 | 6 | Up to 12 |
| Prompts per month | 100 | 250 | 500+ |
| Optimization actions/mo | 10 | 30 | 60+ |
| MCP server access | ✓ | ✓ | ✓ |
| Agentic commerce visibility | ✗ | ✓ | ✓ |
| Agent Experience Suite (crawler logs) | ✗ | ✓ | ✓ |
| AEO Content Studio | ✗ | ✓ | ✓ |
| Revenue attribution | GA integration | Full | Custom |
| API and data export | ✗ | ✗ | ✓ |
| Multi-brand tracking | ✗ | ✗ | ✓ |
LLMrefs
Keyword-based AI search visibility tracking across 11 engines with share of voice, citations, and unlimited agency seats
LLMrefs is one of the most practical and agency-ready AI visibility platforms available. The keyword-first approach eliminates prompt engineering overhead, auto-generating 25 fan-out prompts per keyword based on real user conversations. One €79/month plan covers unlimited projects, unlimited seats, and access to 11 AI engines. Data refresh happens weekly with real-time analysis underneath.
The core design advantage is the keyword-first model. This removes the most time-consuming part of AI tracking setup and ensures the platform stays aligned with how actual users query AI engines, not how marketers hypothesize they do. For each keyword, LLMrefs generates 25 prompts and aggregates results into per-keyword metrics: share of voice (what percentage of AI responses mention your brand), position (where in the response your brand appears), and citation count (which domains are cited alongside your mentions).
LLMrefs is structured for agencies by default. The 7-day free trial requires no credit card, making evaluation friction-free. Geo-targeting across 50+ countries and 10+ languages lets agencies track client visibility in specific markets. The main gap remains a white-label client portal, though CSV export and API access cover most agency reporting workflows.
| Feature | All in One €79/month |
|---|---|
| AI engines tracked | 11 (ChatGPT, ChatGPT Search, Google AI Overviews, Google AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI, DeepSeek) |
| Max prompts tracked | 500 per organization |
| Prompts per keyword | Auto-generated fan-out, typically 25 |
| Projects | Unlimited |
| Team seats | Unlimited |
| Keywords per project | Unlimited |
| Geo-targeting | 50+ countries |
| Language support | 10+ languages |
| Data refresh | Weekly automated, real-time analysis |
| CSV export | ✓ |
| API access | ✓ |
| Source citation tracking | ✓ |
| Content gap analysis | ✓ |
| Competitor benchmarking | ✓ |
| Free trial | 7 days, no credit card |
Head-to-head feature comparison
| Feature | ||
|---|---|---|
| AI engines tracked | Up to 12: ChatGPT, Gemini, Claude, Perplexity, Copilot, Meta AI, Grok, AI Overviews, AI Mode, DeepSeek, Amazon Rufus, Sparky | 11: ChatGPT, ChatGPT Search, AI Overviews, AI Mode, Gemini, Perplexity, Claude, Grok, Copilot, Meta AI, DeepSeek |
| Competitive share-of-voice | Yes | Yes |
| Prompt-level citation data | Yes | Yes |
| Answer / content gap analysis | Yes (Optimization Actions) | Yes (Content Gap Analysis) |
| Category intelligence | Yes (Prompt Research) | No |
| AEO content generation | Yes (Content Studio) | No |
| Crawler / AI bot log access | Yes (Agent Experience Suite) | No |
| Page content audits | Yes | No |
| API access | Enterprise only | Yes, all plans |
| Looker Studio / BI connector | No (MCP server all plans) | No (API + CSV export) |
| White-label delivery | No | No |
| Pay-per-prompt pricing | No | No |
| Agency multi-brand support | Enterprise only | Yes (unlimited projects/seats) |
| Starting price | $399/mo | €79/mo |
Considering AI Peekaboo alongside Goodie and LLMrefs?

Goodie locks API access to enterprise contracts, and LLMrefs offers no white-label delivery on its single €79/month plan. AI Peekaboo is the best AI visibility tool for agencies that need both, with read and write API plus white-label reports with guest access links on every plan from $50/month Starter. For SEO and marketing agencies managing multiple brand clients, AI Peekaboo covers what neither tool delivers at standard pricing, with 5 AI surfaces and Looker Studio connector included.
Read the AI Peekaboo review →Which should you choose?
The cleanest way to think about these two tools is by their underlying workflows. Goodie is built for enterprise brands with full-stack Generative Engine Optimization (GEO) needs: prompt research, monitoring, optimization actions, content generation, crawler analysis, and revenue proof under one roof. LLMrefs is built for agencies and in-house SEO teams who already maintain keyword lists and want a low-friction way to extend them into eleven AI engines without prompt engineering overhead. The deciding criteria is whether you want the widest model coverage with execution layers, or a keyword-driven approach that integrates with existing SEO workflows at €79/month.
Bottom line
If you are an enterprise brand with a meaningful AEO budget who needs the widest model coverage, agentic commerce visibility, AEO content generation, and revenue attribution proof, Goodie is the most defensible choice in the category. If you are an SEO agency or in-house team that wants to add eleven AI engines to your existing keyword tracking workflow with unlimited projects and seats at €79/month, LLMrefs is the most practical option. The defining question is whether you want enterprise AEO execution or keyword-first AI tracking.
Frequently asked questions
How does Goodie compare to LLMrefs on AI visibility tool comparison depth?
Goodie has the deeper feature set with twelve-model coverage, AEO Content Studio, Optimization Actions, Agent Experience Suite, Agentic Commerce, and Google Analytics revenue attribution. LLMrefs focuses on the monitoring layer: eleven engines, keyword-driven share-of-voice, position metrics, citation tracking, and content gap analysis, without execution layers. For full-stack Generative Engine Optimization (GEO) execution, Goodie is the more complete answer. For keyword-driven AI tracking that integrates with existing SEO workflows, LLMrefs is the more practical option.
How much does Goodie cost compared to LLMrefs?
Goodie Explorer starts at $399/month for three engines and 100 prompts. Pro and Enterprise pricing requires a demo call. LLMrefs is one €79/month plan covering unlimited projects, unlimited seats, 500 prompts organization-wide, CSV export, and API access. At the entry tier, Goodie costs roughly five times more than LLMrefs per month, with significantly more limited prompt volume.
Is LLMrefs worth the cost for agencies managing multiple clients?
LLMrefs is built for agencies. One €79/month subscription covers unlimited projects, unlimited seats, geo-targeting across 50+ countries, 10+ languages, and API access. The 7-day free trial with no credit card makes evaluation friction-free. The main gap is white-label client portal: agencies need to build their own wrapper around the API. Goodie restricts multi-brand tracking to Enterprise, which makes LLMrefs the more practical agency choice on a standard tier.
Which tool has better keyword-first tracking, LLMrefs or Goodie?
LLMrefs is purpose-built for keyword-first tracking. You import keywords the same way you would in Ahrefs or Semrush, and the platform auto-generates 25 fan-out prompts per keyword based on real user conversation patterns. Goodie requires manual prompt configuration and does not have a keyword-import workflow. For SEO teams transitioning from traditional rank tracking to AI search, LLMrefs is the lower-friction option.
Does LLMrefs have revenue attribution like Goodie?
No. LLMrefs focuses on the visibility data layer: share of voice, position metrics, citation tracking, and content gap analysis. It does not connect AI citations to Google Analytics conversions or revenue. Goodie ships revenue attribution tied to Google Analytics on Explorer, full attribution on Pro, and custom revenue modeling on Enterprise. For programmes that need to defend AI visibility spend internally with revenue proof, Goodie is the only option of the two.
Which tool is best for in-house teams with a single brand on a budget?
LLMrefs at €79/month is the more practical fit. It covers eleven AI engines, includes API access, geo-targeting, and 500 prompts organization-wide, with no per-brand or per-engine fees. Goodie Explorer at $399/month covers only three engines with 100 prompts. For in-house teams focused on Generative Engine Optimization (GEO) monitoring without execution layers, LLMrefs delivers more breadth for less money.

