Digraph vs Praised pricing
| Plan detail | Digraph | Praised |
|---|---|---|
| Lowest published price | Free for 14 days, then $99/mo | $99/mo |
| Plan and billing | Standard, billed monthly | Pro |
| Allowance | 30 prompts, 1 brand | 20,000 credits, 25 products |
| AI coverage | Supported AI models | 6 engines named |
| Next plan | Pro $249/mo: 300 prompts, 3 brands | See Praised’s pricing page |
Lowest published plan for each vendor; billing terms differ. See which AI systems Digraph checks and how.
Features compared
| Capability | Digraph | Praised |
|---|---|---|
| Published entry pricing | Standard: $99/month for 30 tracked prompts and 1 brand. | Pro: $99/month with 20,000 monthly credits and up to 25 products; the pricing page describes scheduled tracking and competitor monitoring. |
| Larger self-serve plan | Pro: $249/month for 300 prompts, 3 brands, with supported model APIs. | Scale: $399/month with 80,000 monthly credits and up to 100 products; unused credits roll over one month. |
| Agency delivery | Pro lists 3 brands; Enterprise lists unlimited brands. Reports and exports are public-plan capabilities; API access is Enterprise. | Agency: $599/month with 80,000 pooled credits, up to 250 products, a portfolio view, and white-label reports across client workspaces. |
| Measurement and uncertainty | Inspect tracked answers, recommendations, citations, source domains, competitors, and changes over time. | Praised describes mention, citation, and recommendation rates with confidence intervals and labels for live, modeled, or estimated figures; verify the underlying samples and exports. |
| Integrations and automation | Pro lists audits, analysis, Signal, and agent modules; API access is listed for Enterprise. | Praised lists REST API, MCP, Slack, Search Console, GA4, exports, agents, scheduled flows, and a fix queue on paid plans. |
| AI-system coverage | Standard and Pro list supported AI models. | Praised’s agency page names ChatGPT, Google AI Overviews, Gemini, Claude, Perplexity, and Grok; confirm the exact engines, model variants, and credit cost per run. |
Key differences between Digraph and Praised
Praised and Digraph both connect AI-answer visibility with competitive, citation, and follow-up work. Praised emphasizes confidence intervals, credit-priced runs, white-label agency reports, pooled client workspaces, and scheduled agents. Digraph emphasizes a defined prompt portfolio, answer evidence, citations, competitors, and connected analysis workflows. Their published units differ substantially, so a fair comparison should normalize prompt runs, engines, products or brands, cadence, answer archives, and exports.
Normalize the billing units first
Digraph lists prompts, brands, and AI systems directly: 30 prompts/one brand on Standard and 300 prompts/three brands on Pro. Praised lists credits and products: Pro has 20,000 credits and up to 25 products, Scale has 80,000 credits and up to 100 products, and Agency pools 80,000 credits across up to 250 products. Neither a credit nor a product is automatically equivalent to a prompt or a brand. Model the number of prompts, engine runs, passes, products, markets, and cadence your program needs.
Confidence intervals are useful only with transparent samples
Praised positions confidence intervals as a way to distinguish movement from noise and labels figures as live, modeled, or estimated. That is a meaningful evaluation dimension, not proof of superior accuracy by itself. Ask how samples are selected, how repeated runs and engines are combined, which denominator produces each rate, and whether the full answers and citations can be exported. Compare the same questions and measurement window in both products.
Compare agency economics and client-facing delivery
Praised’s Agency plan publishes $599/month for pooled credits, 250 products, a portfolio view, and white-label reports. Digraph Pro publishes three brands at $249/month and Enterprise lists unlimited brands. These models serve different agency constraints. Test client workspace setup, access controls, branded report output, archive retention, scheduled runs, credit or prompt forecasting, and the work required to explain a missed recommendation.
Inspect the action workflow, not only the dashboard
Praised describes agents, scheduled flows, a GEO content lint workflow, accuracy monitoring, a fix queue, and verified closure. Digraph’s public materials emphasize audits, analysis, Signal, and agent workflows connected to prompt, answer, citation, and competitor evidence. Give both tools the same citation gap and ask for the exact evidence, proposed fix, approval point, and re-check record. Public capability pages are vendor claims, not independent proof of ranking or revenue gains.
Run a controlled side-by-side pilot
Use the same brand, competitors, markets, language, buyer questions, active engines, cadence, and export requirements. Record every full answer, model, prompt, product or brand mapping, mention/citation/recommendation classification, confidence interval or score, cited URL, source domain, 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. Praised publishes Pro at $99/month with 20,000 credits and up to 25 products, Scale at $399/month with 80,000 credits and up to 100 products, and Agency at $599/month with 80,000 pooled credits, up to 250 products, portfolio views, and white-label reports. Its agency page describes six answer surfaces and interval-labelled mention, citation, and recommendation rates. Digraph publishes 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. Credits, products, prompts, engines, and confidence intervals are different units; compare the exact workload and evidence before drawing a value conclusion.
Sources reviewed
Praised’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 Praised?
Praised and Digraph both connect AI-answer visibility with competitive, citation, and follow-up work. Praised emphasizes confidence intervals, credit-priced runs, white-label agency reports, pooled client workspaces, and scheduled agents. Digraph emphasizes a defined prompt portfolio, answer evidence, citations, competitors, and connected analysis workflows. Their published units differ substantially, so a fair comparison should normalize prompt runs, engines, products or brands, cadence, answer archives, and exports.
How does Praised pricing compare with Digraph?
Praised’s lowest published plan is $99/mo (Pro) with 20,000 credits, 25 products and 6 engines named. 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 Praised alternative?
Digraph is a fit for agencies and marketing teams comparing credit-based, confidence-interval reporting and white-label delivery with a prompt-centered evidence workflow for monitoring and investigation. Run the same buyer prompts in both products and compare the full answers, citations, and next actions before deciding.
Can Digraph complement an existing Praised 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.