Digraph vs Goodie AI pricing
| Plan detail | Digraph | Goodie AI |
|---|---|---|
| Lowest published price | Free for 14 days, then $99/mo | $399/mo |
| Plan and billing | Standard, billed monthly | Core |
| Allowance | 30 prompts, 1 brand | 120 prompts |
| AI coverage | Supported AI models | 5 core models |
| Next plan | Pro $249/mo: 300 prompts, 3 brands | See Goodie AI’s pricing page |
Lowest published plan for each vendor; billing terms differ. See which AI systems Digraph checks and how.
Features compared
| Capability | Digraph | Goodie AI |
|---|---|---|
| Published entry pricing | Standard: $99/month for 30 tracked prompts and 1 brand. | Core: $399/month for 5 core models, 120 prompts, 50 monthly optimizations, direct revenue attribution, and 5 seats. |
| Higher-volume plan | Pro: $249/month for 300 prompts, 3 brands, with supported model APIs. | Pro: $999/month for 8 models, 250 prompts, 100 monthly optimizations, direct revenue attribution, and unlimited seats. |
| Agency model | Pro lists 3 brands; Enterprise is custom-priced with unlimited brands. Reports and exports are public-plan capabilities; API access is Enterprise. | Agency Growth: $275/month for 10 pitch workspaces; full client workspaces are an add-on starting at $399/month, with custom Enterprise options. |
| Evidence and competitor context | Inspect full answers, recommendations, competitor mentions, cited URLs, source domains, and changes over time. | Goodie describes visibility, deep citation analysis, competitor and industry benchmarking, sentiment, historical trends, event analytics, and daily data collection; inspect the underlying answer and citation export. |
| Optimization and attribution | Route visibility gaps into audits, analysis, Signal, and agent workflows connected to prompt and source evidence. | Goodie lists AEO content, content, blog, outreach, technical, and social agents, plus direct revenue attribution, agent/crawler analytics, and optimization actions. |
| Integrations and access | Reports and exports are public-plan capabilities; API access is listed for Enterprise. | Goodie lists MCP access, Google Analytics, Search Console, Bing Webmaster Tools, and higher-tier API or export access; confirm included limits and implementation ownership. |
Key differences between Digraph and Goodie AI
Goodie and Digraph both measure AI visibility, citations, competitors, and sentiment. Goodie differentiates with a research-to-revenue loop, direct revenue attribution, AEO content and technical agents, social or outreach actions, agentic commerce visibility, and agency pitch or client workspaces. Digraph emphasizes a defined prompt portfolio, full answer evidence, cited URLs, source domains, competitor context, and connected audit or analysis workflows across supported model APIs. Their pricing and execution models are materially different, so a workload and evidence pilot should precede a buying decision.
This is a service and execution comparison, not only a dashboard comparison
Goodie publishes strategist support, onboarding, action credits, agents, and direct revenue attribution alongside monitoring. Digraph publishes prompt and brand limits and connects evidence to audits, analysis, Signal, and agent workflows. Separate software limits from included human support and action execution when comparing total operating cost.
Normalize prompt, model, and cadence coverage
Goodie publishes 120 prompts across five models on Core and 250 prompts across eight models on Pro, with daily collection and broader enterprise coverage. Digraph publishes 30 prompts on Standard and 300 on Pro across supported model APIs. Use the same prompts, engines, countries, languages, refresh window, and stored-answer requirements before comparing coverage.
Treat revenue attribution as a claim to validate
Goodie positions direct revenue attribution, agent and crawler analytics, and integrations with Google Analytics, Search Console, and Bing Webmaster Tools as part of the closed loop. Digraph emphasizes answer and citation evidence behind an action. Connect the same analytics property where possible and document attribution definitions, model referral identification, page-level reporting, and the evidence behind any claimed lift.
Model agency economics from pitch to client workspace
Goodie’s agency Growth plan provides pitch workspaces, while full client workspaces start at $399/month and Enterprise adds broader engine, API, export, and multi-brand options. Digraph Pro publishes three brands at $249/month and Enterprise unlimited brands. Test workspace isolation, prompt setup, client permissions, reporting, support, action execution, and the monthly cost of the exact client roster.
Run a controlled side-by-side pilot
Use the same brand, competitors, categories, markets, language, buyer questions, active engines, collection window, analytics properties, and reporting format. Record full answers, prompt and model context, brand position, competitor mentions, sentiment, cited URLs, source domains, proposed actions, attribution fields, refresh time, and resource consumed. Compare one recurring report and one verified follow-up action before choosing the operating model.
Need the work done, not another tool?
A tracking tool tells you where you stand in AI answers; it does not write the content, fix the site or earn the mentions that change them. Digraph is an AI marketing agency: we measure on our own platform and do that work for you, starting with a one-off audit.
See our AEO agency servicesHow to evaluate both
This documentation-based comparison was reviewed September 21, 2026; it is not a hands-on benchmark. Goodie publishes Core at $399/month for 5 models and 120 prompts, Pro at $999/month for 8 models and 250 prompts, and Enterprise with up to 13 models, tailored prompt volume, revenue attribution, and custom controls. Its agency Growth offer is listed at $275/month for 10 pitch workspaces, with full client workspaces added from $399/month. Digraph lists Standard at $99/month for 30 prompts and 1 brand and Pro at $249/month for 300 prompts and 3 brands across supported model APIs. Goodie emphasizes a closed-loop AEO service with attribution and optimization agents, while Digraph emphasizes prompt-level evidence and connected analysis. Normalize prompts, models, cadence, attribution, action execution, and client-workspace economics before comparing value.
Sources reviewed
Goodie AI’s capabilities are summarized from the official sources below. This is a documentation-based comparison published by Digraph, not a hands-on benchmark.
Common questions
How does Digraph compare with Goodie AI?
Goodie and Digraph both measure AI visibility, citations, competitors, and sentiment. Goodie differentiates with a research-to-revenue loop, direct revenue attribution, AEO content and technical agents, social or outreach actions, agentic commerce visibility, and agency pitch or client workspaces. Digraph emphasizes a defined prompt portfolio, full answer evidence, cited URLs, source domains, competitor context, and connected audit or analysis workflows across supported model APIs. Their pricing and execution models are materially different, so a workload and evidence pilot should precede a buying decision.
How does Goodie AI pricing compare with Digraph?
Goodie AI’s lowest published plan is $399/mo (Core) with 120 prompts and 5 core models. Digraph starts with a 14-day free trial; Standard is then $99/mo billed monthly for 30 prompts, 1 brand across supported model APIs, and Pro is $249/mo for 300 prompts, 3 brands. Billing basis, collection surfaces, and plan units differ, so confirm current terms with both vendors.
Is Digraph a good Goodie AI alternative?
Digraph is a fit for organizations comparing a high-touch, attribution-led AEO operating system with a lower-cost prompt-centered evidence and investigation platform. Run the same buyer prompts in both products and compare the full answers, citations, and next actions before deciding.
Can Digraph complement an existing Goodie AI workflow?
Yes. Many teams use more than one research or measurement system. Digraph adds an evidence-led view of AI answers, prompts, citations, competitors, and follow-up work alongside the tools SEO, brand, and content teams already use.
How should I run a fair AI visibility evaluation?
Use the same prompt portfolio, competitors, markets, AI systems, and reporting period in each tool. Review the underlying answers and sources, not only aggregate scores, before choosing a workflow.