All comparisons

Digraph vs 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.

If you are comparing Praised, this page covers Digraph vs Praised, Praised vs Digraph, best Praised alternatives, and Praised pricing vs Digraph.

Abstract network showing connected sources and answer intelligence
Answer evidence, connected

At a glance

Agencies and marketing teams comparing credit-based, confidence-interval reporting and white-label delivery with a prompt-centered evidence workflow for monitoring and investigation.

CapabilityDigraphPraised
Published entry pricingStandard: $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 planPro: $249/month for 300 prompts, 3 brands, and 9 listed AI systems.Scale: $399/month with 80,000 monthly credits and up to 100 products; unused credits roll over one month.
Agency deliveryPro 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 uncertaintyInspect 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 automationPro 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 coverageStandard and Pro list all 9 listed AI systems.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.

Run a useful side-by-side evaluation

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 9 listed AI systems. Credits, products, prompts, engines, and confidence intervals are different units; compare the exact workload and evidence before drawing a value conclusion.

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.

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.

Why teams choose Digraph

Digraph brings the evidence behind AI-search visibility into one focused workflow.

Answer-level evidence

Review the prompts and tracked answers where your brand appears—or does not.

Source and competitor context

See cited domains and competing brands alongside the answer patterns you are measuring.

A clear path to investigation

Use the observed gaps to focus research, content planning, and performance review.

Looking for a Praised alternative?

Choose a workflow your team can use with its real questions and evidence—not only a feature checklist.

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.

What should a team evaluate when comparing Digraph and Praised?

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.

Can Digraph complement an existing Praised workflow?

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.

How should I run a fair AI search visibility evaluation?

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.

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Evaluate with your own questions

The right comparison starts with the prompts, competitors, and markets that matter to your brand. Digraph gives your team a shared place to measure and investigate them.