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 nine listed AI systems. Their pricing and execution models are materially different, so a workload and evidence pilot should precede a buying decision.
If you are comparing Goodie AI, this page covers Digraph vs Goodie AI, Goodie AI vs Digraph, best Goodie AI alternatives, and Goodie AI pricing vs Digraph.
Organizations comparing a high-touch, attribution-led AEO operating system with a lower-cost prompt-centered evidence and investigation platform.
| 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, and 9 listed AI systems. | 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. |
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 9 listed AI systems. 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.
Published by Digraph. Competitor capabilities are summarized from the official sources below, reviewed on . This is a product-documentation comparison, not a hands-on benchmark. Confirm current plan limits and coverage with each provider.
Review Digraph’s documented features and AI search visibility evaluation guide before building your shortlist.
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.
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 nine listed AI systems. Use the same prompts, engines, countries, languages, refresh window, and stored-answer requirements before comparing coverage.
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.
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.
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.
Digraph brings the evidence behind AI-search visibility into one focused workflow.
Review the prompts and tracked answers where your brand appears—or does not.
See cited domains and competing brands alongside the answer patterns you are measuring.
Use the observed gaps to focus research, content planning, and performance review.
Choose a workflow your team can use with its real questions and evidence—not only a feature checklist.
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 nine listed AI systems. Their pricing and execution models are materially different, so a workload and evidence pilot should precede a buying decision.
Evaluate the actual prompts your buyers ask, the AI systems and markets you need to cover, whether response and source evidence are available, how competitors are compared, and how a finding becomes a repeatable action for your team.
Yes. Many teams use more than one research or measurement system. Digraph is designed to provide an evidence-led view of AI answers, prompts, citations, competitors, and follow-up work alongside the tools already used by SEO, brand, and content teams.
Use the same defined prompt portfolio, competitors, markets, AI systems, and reporting period. Review the underlying answers and sources, not only aggregate scores, before deciding which workflow is the best fit.
Compare prompt and model allowances, competitor setup, source analytics, and workflow fit using current vendor documentation.
A GEO and AI advertising platform for AI visibility, content activation, and campaign execution.
Compare published prices and prompt allowances with Profound’s conversation research, AI traffic analytics, shopping, and agent workflows.
Compare prompt-level visibility, citation influence, collection cadence, AI referrals, bot traffic, and API access using official documentation.
An enterprise SEO platform with AI search capabilities.
A broad SEO and digital marketing platform with AI search features.
An SEO platform whose Brand Radar includes AI visibility research and custom prompt tracking.
Compare official pricing, prompt allowances, AI search coverage, and evidence workflows before a fair product trial.
Compare monthly versus annual billing, model and project allowances, answer evidence, and agent-led content workflows using official product sources.
Compare daily engine coverage, prompt and brand limits, Search Console access, and the path from a visibility finding to a fix.
Compare credit-metered AI responses and domain limits with prompt-based plans, engine coverage, and answer evidence.
Compare agency pricing, multi-brand capacity, white-label delivery, AI coverage, APIs, and answer evidence using current vendor pages.
Compare persona-driven audits, agency pricing, model coverage, citations, competitors, and answer-level evidence using current vendor sources.
Compare confidence-interval reporting, credit-based plans, agency delivery, citations, competitors, and action workflows using current vendor sources.
Compare multi-business pricing, prompt checks, AI engines, citations, competitors, reporting, and agency delivery using current vendor sources.
Compare category-level AI visibility measurement, prompt volume, competitor benchmarks, citations, attribution, and agency delivery using current vendor sources.
Compare credit-based AI search visibility, model coverage, citation insights, content optimization, competitor monitoring, and enterprise controls using current vendor sources.
Compare prompt monitoring, GEO implementation tools, engine add-ons, citation evidence, white-label reporting, and agency workflows using current vendor sources.
Compare prompt and response quotas, model coverage, citations, competitor heatmaps, agent credits, AEO content, and API access using current vendor sources.
Compare credit-based answer volume, engine coverage, citation gaps, page audits, competitor tracking, API access, and agency reporting using current vendor sources.
Compare standalone AEO pricing, prompt and answer limits, three-engine coverage, CRM context, citation analysis, and evidence workflows using current vendor sources.
Compare Foglift and Digraph on AI visibility monitoring, technical audits, citations, competitors, action workflows, developer access, and published pricing.
Compare GrackerAI and Digraph on AI visibility monitoring, AEO audits, citations, content execution, competitors, agency workflows, and published pricing.
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Compare Citations.io and Digraph on AI visibility tracking, answer evidence, citations, competitors, implementation recommendations, and reporting.