Digraph vs Centium pricing
| Plan detail | Digraph | Centium |
|---|---|---|
| Lowest published price | Free for 14 days, then $99/mo | $119/mo |
| Plan and billing | Standard, billed monthly | Recurring plan, billed monthly |
| Allowance | 30 prompts, 1 brand | 120 prompts per report |
| AI coverage | Supported AI models | 6 AI models |
| Next plan | Pro $249/mo: 300 prompts, 3 brands | See Centium’s pricing page |
Lowest published plan for each vendor; billing terms differ. See which AI systems Digraph checks and how.
Features compared
| Capability | Digraph | Centium |
|---|---|---|
| Published entry pricing | Standard: $99/month for 30 tracked prompts and 1 brand. | Centium publishes $119/month billed monthly for the recurring plan, plus a $199 one-time AI Visibility Audit; other cadence and annual options are shown on the pricing page. |
| Measurement volume | Standard and Pro publish prompt limits of 30 and 300, with supported model APIs. | Centium publishes 120 prompts across 6 AI models, or 720 AI responses per report, with monthly, bi-weekly, and weekly refresh choices. |
| Competitor and citation context | Inspect full answers, recommendations, competitor mentions, cited URLs, source domains, and changes over time. | Centium publishes recommendation rates, ordered competitor benchmarks, position frequency, citation tracking, source attribution, and influential voices; inspect the underlying answer and source records in a trial. |
| Attribution and indexing | Digraph connects visibility findings to audits, analysis, Signal, and agent workflows; public materials emphasize answer and source evidence. | Centium describes GA4-connected AI referral sessions and revenue, AI crawler access, training-data coverage, and query fan-out analysis. |
| Agency and portfolio delivery | Pro lists 3 brands; Enterprise lists unlimited brands. Reports and exports are public-plan capabilities; API access is Enterprise. | Centium offers custom agency and enterprise pricing, portfolio dashboards, cross-brand reports, unlimited users, shareable dashboards, CSV/XLSX export, archived data, and client share links. |
| Cadence and methodology | Use a defined prompt portfolio and track changes across selected AI systems and runs. | Centium offers monthly, bi-weekly, or weekly refreshes and positions category prompts as a way to measure unprompted recommendation visibility. |
Key differences between Digraph and Centium
Centium and Digraph both measure how AI systems recommend brands, rank competitors, and cite sources. Centium emphasizes category recommendation rates, position frequency, six-model response volume, query fan-out, crawler/indexing signals, GA4 attribution, and portfolio reporting. Digraph emphasizes a defined prompt portfolio, answer-level evidence, citations, competitors, and connected analysis workflows across supported model APIs. Their published measurement units and refresh models differ, so the same prompts and evidence fields should be tested before choosing.
Response volume is not the same as prompt coverage
Centium publishes 120 prompts across six models for 720 AI responses per report, while Digraph publishes 30 prompts for Standard and 300 for Pro across supported model APIs. A response count does not reveal how many categories, markets, prompt variants, or model runs are included. Build a workload model with the exact buyer questions, engines, markets, cadence, and retained evidence your team needs.
Compare category recommendation with answer-level investigation
Centium centers recommendation rate, position frequency, competitor rank, and category-level prompts designed to measure unprompted visibility. Digraph emphasizes the prompt, full answer, cited URL, source domain, competitor context, and follow-up analysis behind a finding. Use the same open-category questions and record whether each product exposes the evidence needed to explain a missed recommendation.
Treat pricing and cadence as separate dimensions
Centium publishes a $119/month recurring plan, a $199 one-time audit, and cadence choices from monthly to weekly; its site also uses a starting-at-$99 claim and custom agency pricing. Digraph publishes Standard at $99/month and Pro at $249/month with prompt and brand limits. Confirm the effective price, annual discount, refresh schedule, prompt editing rules, model set, and overage terms before comparing monthly totals.
Test attribution and agency reporting claims end to end
Centium describes GA4 AI-referral attribution, portfolio views, unlimited users, shareable dashboards, exports, archiving, and custom agency methodology. Digraph lists multi-brand plans, reports and exports, and Enterprise API access. Test permissions, client separation, report branding, historical retention, export fields, GA4 setup, and how a source or ranking observation becomes an assigned action.
Run a controlled side-by-side pilot
Use the same brand, competitors, categories, markets, language, buyer questions, active engines, collection window, and reporting format. Record full answers, recommendation rates, ordered positions, competitor mentions, citations, cited URLs, source domains, refresh time, attribution fields, 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. Centium publishes a $119/month subscription with 120 prompts run across 6 AI models for 720 responses per report, a $199 one-time audit, and custom enterprise pricing; its platform pages also say pricing starts at $99/month and agency plans are custom. 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. Centium’s response volume, cadence, and category methodology differ from Digraph’s prompt and brand limits. Normalize prompts, model runs, categories, cadence, answer evidence, citations, attribution, and client delivery before comparing value.
Sources reviewed
Centium’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 Centium?
Centium and Digraph both measure how AI systems recommend brands, rank competitors, and cite sources. Centium emphasizes category recommendation rates, position frequency, six-model response volume, query fan-out, crawler/indexing signals, GA4 attribution, and portfolio reporting. Digraph emphasizes a defined prompt portfolio, answer-level evidence, citations, competitors, and connected analysis workflows across supported model APIs. Their published measurement units and refresh models differ, so the same prompts and evidence fields should be tested before choosing.
How does Centium pricing compare with Digraph?
Centium’s lowest published plan is $119/mo (Recurring plan, billed monthly) with 120 prompts per report and 6 AI 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 Centium AI alternative?
Digraph is a fit for teams and agencies comparing category-level recommendation-rate reporting and AI traffic attribution with a prompt-centered evidence and investigation workflow. Run the same buyer prompts in both products and compare the full answers, citations, and next actions before deciding.
Can Digraph complement an existing Centium 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.