Digraph vs Scrunch

Digraph and Scrunch both report how brands, competitors, and sources appear in AI answers.

Digraph

$99/mo

Plan
Standard, billed monthly
Allowance
30 prompts, 1 brand
AI coverage
Supported AI models
Next plan
Pro $249/mo: 300 prompts, 3 brands

Scrunch

$250/mo

Plan
Starter, billed yearly ($300 monthly)
Allowance
350 custom prompts
AI coverage
7 AI platforms

Lowest published plan for each vendor. Billing terms differ. Digraph uses model API observations; proxy-labelled Copilot results are not direct Microsoft Copilot data, and Gemini results are not Google AI Overviews. Check coverage and collection methods.

At a glance

CapabilityDigraphScrunch
Answer and competitor metricsInspect answers, prompts, mentions, recommendations, citations, source context, and competitor movement.Compare brand presence, position, sentiment, mentions, citations, and competitors by prompt and AI platform.
Citation source analysisInspect cited answers, source domains, URLs, and prompt/platform dimensions.Break down citations by owner and URL; report citation consistency and an Influence Score based on citation frequency across unique prompts.
Published collection cadenceThe product FAQ describes daily monitoring.Scrunch says new prompts are collected daily for 14 days, then move to a default 72-hour cadence; refresh can be requested at any time.
AI referrals and bot trafficThe public docs reviewed here confirm answer reporting, API access, and CSV exports; they do not specify a GA4/Adobe referral or CDN-log equivalent.AI Referrals connects to GA4 or Adobe Analytics; Agent Traffic uses CDN/hosting integrations to report AI-bot visits and request types.
API and exportsEnterprise lists API access; documentation describes organization-scoped API keys and CSV exports for daily/platform metrics, sources, and prompts.Scrunch documents query and response APIs, plus an Agent Traffic API for AI bot logs.
Action workflowPro lists AI Audit, Marketing & Technical Analysis, Digraph Signal, and Digraph Agents.Evaluate the documented monitoring, referrals, bot-traffic, and API surfaces against the operational tasks your team needs to complete.

Key differences between Digraph and Scrunch

Digraph and Scrunch both report how brands, competitors, and sources appear in AI answers. Scrunch also documents GA4 or Adobe Analytics connections for human AI referrals and CDN or hosting integrations for AI-bot traffic. Digraph’s public docs describe daily answer monitoring, prompt and source evidence, Enterprise API access, and CSV exports. Compare these as separate jobs: answer visibility is not the same as referral attribution or bot-log monitoring.

Scrunch extends measurement into traffic and bot activity

Scrunch documents two distinct website signals beyond generated-answer monitoring. AI Referrals connects a Google Analytics 4 or Adobe Analytics property to report sessions, landing pages, and—when configured—conversion and revenue metrics. Agent Traffic relies on a CDN or hosting integration and separates training, indexing, and retrieval bot requests. These require access to the relevant analytics property or site infrastructure; they are not the same metric as a brand mention or citation.

Compare citation influence without confusing it with editorial quality

Scrunch describes an Influence Score that combines the share of responses citing a source with the number of unique prompts where it appears. Its documentation says this indicates how broadly a source shapes tracked answers; it is not a judgment of the source’s factual or editorial quality. Digraph’s docs instead emphasize tracing daily aggregates back to the prompt, platform, answer, source URL, and citation that produced them. Choose the source view that answers the investigation your team actually runs.

Choose Digraph when the next step starts with answer evidence

Digraph’s public plans include supported AI models on Standard and Pro; Pro adds 300 prompts, three brands, and modules for audits, analysis, signals, and agents. Its docs describe answer-level inspection and Enterprise API/CSV access. That can fit teams prioritizing a daily view of what AI answers say and cite, followed by an evidence-led research or optimization task. Scrunch may be a better fit when integrated referral attribution and CDN/hosting bot analytics are requirements. Confirm current plan entitlements with both providers.

Run a controlled side-by-side test

Choose a stable high-intent prompt set, the same brand and competitors, matching platform, market, and language settings, and a shared date window. Compare actual answers and cited URLs—not only aggregate visibility scores. Record each product’s refresh timing and denominator. If you need attribution, connect the same analytics property; if you need bot logs, connect the same supported CDN or hosting source. Verify exports and API fields, and ask Digraph directly about any referral or crawler capability not covered in its public docs.

How to evaluate both products

Evaluation scope

This documentation-based comparison was refreshed September 15, 2026; it is not a hands-on product benchmark. Test the same prompts, AI systems, competitors, markets, and dates in both tools. Record the refresh cadence, full answer, mention and citation outcomes, cited URL, and metric denominator. If AI-attributed business outcomes matter, separately test Scrunch’s documented GA4/Adobe referral connection and CDN/hosting bot-log integrations, then verify whether the Digraph plan being evaluated provides an equivalent. Do not treat an unlisted capability as proof that a vendor cannot provide it.

Sources reviewed

Competitor capabilities are summarized from the official sources below. This is a documentation-based comparison published by Digraph, not a hands-on benchmark.

Frequently asked questions

How does Digraph compare with Scrunch?

Digraph and Scrunch both report how brands, competitors, and sources appear in AI answers. Scrunch also documents GA4 or Adobe Analytics connections for human AI referrals and CDN or hosting integrations for AI-bot traffic. Digraph’s public docs describe daily answer monitoring, prompt and source evidence, Enterprise API access, and CSV exports. Compare these as separate jobs: answer visibility is not the same as referral attribution or bot-log monitoring.

How does Scrunch pricing compare with Digraph?

Scrunch’s lowest published plan is $250/mo (Starter, billed yearly ($300 monthly)) with 350 custom prompts and 7 AI platforms. Digraph Standard is $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 Scrunch AI alternative?

Digraph is a fit for teams choosing between answer-level visibility and source analysis, and a workflow that also connects AI referrals or crawler logs to their analytics stack. Run the same buyer prompts in both products and compare the full answers, citations, and next actions before deciding.

Can Digraph complement an existing Scrunch 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.

Evaluating Scrunch? Run the same prompts in Digraph.

Bring your buyer questions and competitor list. Digraph monitors them through supported model APIs and shows the recorded answers, citations when provided, and gaps behind each score.