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 nine listed AI systems. Their published measurement units and refresh models differ, so the same prompts and evidence fields should be tested before choosing.
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Teams and agencies comparing category-level recommendation-rate reporting and AI traffic attribution with a prompt-centered evidence and investigation workflow.
| 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 9 listed AI systems. | 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. |
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 9 listed AI systems. 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.
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.
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 nine listed AI systems. 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.
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.
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.
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.
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.
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.
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 nine listed AI systems. Their published measurement units and refresh models differ, so the same prompts and evidence fields should be tested before choosing.
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.
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