Digraph vs Scrunch
Compare prompt-level visibility, citation influence, collection cadence, AI referrals, bot traffic, and API access using official documentation.
- Entry price
- Entry $250/mo
- AI coverage
- 7 AI platforms
Digraph vs Profound
Digraph and Profound both track brand visibility and citations 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
Profound
$99/mo
- Plan
- Starter, billed yearly
- Allowance
- 50 prompts
- AI coverage
- ChatGPT only
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
| Capability | Digraph | Profound |
|---|---|---|
| Published self-serve plans | Standard: $99/month, 30 prompts, 1 brand. Pro: $249/month, 300 prompts, 3 brands. Both list supported AI models. | Starter: $99/month billed yearly, 50 prompts and ChatGPT tracking. Growth: $399/month billed yearly, 100 prompts and 3 engines. Enterprise pricing is custom. |
| Prompt limits and response units | The pricing page specifies tracked-prompt limits; all plans include exports and reports, while API access is listed for Enterprise. | The pricing page also lists monthly responses analyzed: 1,500 for Starter and 9,000 for Growth. Prompt and response caps are different units; Growth includes CSV/JSON exports. |
| AI-system coverage | Standard and Pro both list supported AI models. | Starter lists ChatGPT; Growth lists 3 answer engines; Enterprise lists up to 9. |
| Prompt discovery and demand research | Organize and monitor the prompts selected for a brand and inspect their answer evidence. | Prompt Volumes uses real-user AI-conversation data to research topics, intent, trends, and audience or demographic segments before choosing prompts to track. |
| Answers, citations, and competitors | Inspect prompts, answers, cited URLs and domains, recommendations, and competitor context. | Track visibility score, rank, share of voice, sentiment, citations, and prompt-level competitors; compare against cited competitor pages. |
| Website analytics and shopping | The Digraph public pages reviewed here describe answer monitoring and source evidence; they do not document equivalent server-log referral analytics or ChatGPT Shopping reports. | Profound lists AI crawler monitoring and human referral attribution with analytics/CDN integrations; ChatGPT Shopping visibility is listed for Enterprise. |
| Action workflows | Pro lists AI Audit, AI Round Table, Marketing & Technical Analysis, Signal, and read-only Digraph Agents. | Profound Agents support content generation and optimization; the product site describes automated workflows for researching, writing, and publishing AEO content. |
| API and data access | Exports/reports are listed on all plans; API access is listed on Enterprise. | The pricing matrix lists CSV/JSON exports on Growth and Enterprise and API access on Enterprise. |
Key differences between Digraph and Profound
Digraph and Profound both track brand visibility and citations in AI answers. Profound also lists real-user prompt-demand research, crawler and referral analytics, shopping visibility, and content agents. Digraph’s public Standard and Pro plans list supported AI models, with Pro allowing 300 prompts and three brands. Compare plan units and end-to-end workflows—not just headline prices or prompt counts.
Similar entry prices, different plan trade-offs
The public pricing pages currently display Digraph Standard at $99/month and Pro at $249/month. Profound displays Starter at $99/month and Growth at $399/month, billed yearly. At the entry tier, Profound lists 50 tracked prompts but ChatGPT only; Digraph lists 30 prompts and supported AI models. At the next self-serve tier, Digraph lists 300 prompts across supported model APIs, while Profound Growth lists 100 prompts across three engines. These figures do not establish equal value: Profound also publishes monthly response-analysis limits and includes additional analytics and content capabilities. Check the current billing selector, response volume, user and brand limits, regions, and plan entitlements before comparing total cost.
Profound adds prompt-demand research before tracking
Profound’s Prompt Volumes is positioned as research into the real questions people ask AI, including topic relationships, intent, trends, and audience segmentation. That can help a team decide which prompts to monitor and which content opportunities to investigate. It is a different job from repeatedly running a defined prompt set and inspecting each answer. Digraph’s public pages reviewed for this comparison focus on the tracked prompt, answer, citation, and competitor evidence. If demand discovery is important, test whether the research dataset covers your industry, geography, audience, and language—not only whether a suggested prompt sounds plausible.
Compare answer evidence and measurement definitions
Both products describe recurring prompt tracking, visibility metrics, competitor comparisons, and citation analysis. Profound lists visibility score and rank, share of voice, sentiment, citation share, and head-to-head page recommendations. Digraph centers its workflow on inspecting the tracked prompt and answer alongside cited URLs, source domains, and competitor context. During a trial, open the same underlying answers and verify how each platform defines a mention, recommendation, position, citation, and visibility denominator. An aggregate score is not a substitute for checking the response and source that produced it.
The wider workflow is a genuine point of difference
Profound’s public platform spans Answer Engine Insights, Prompt Volumes, Agent Analytics, content Agents, and—in Enterprise—ChatGPT Shopping analysis. Its pricing page lists integrations for referral and infrastructure data, while the product pages describe AI crawler activity and human referrals. Digraph Pro instead lists AI Audit, AI Round Table, Marketing & Technical Analysis, Signal, and read-only Agents; its public materials emphasize investigating AI answers and taking evidence-led follow-up actions. These are distinct operating models. Teams that require content publishing agents, referral attribution, bot logs, or product-feed visibility should verify those workflows and their plan availability directly rather than infer parity from similar feature names.
Run a controlled evaluation before choosing
Use a fixed portfolio of real buyer prompts and the same brand, competitors, markets, language, date range, and AI engines. Compare the exact engine set each plan permits; Starter, Growth, and Enterprise do not cover the same number of engines as Digraph Standard or Pro. Track both prompt allowances and responses analyzed, plus data freshness and any geography or persona limits. Review cited sources, full answers, exports, API fields, and whether the team can turn an identified gap into its next task. Finally, test any required prompt-volume research, AI referrals, crawler logs, shopping analysis, or content-agent workflow with the actual plan you would buy.
How to evaluate both products
Evaluation scope
This comparison was reviewed September 15, 2026 against public product documentation; it is not a hands-on benchmark. Both vendors publish prompt-based AI answer tracking, but their plan units and included workflows differ. Test the same buyer questions, brands, competitors, markets, language, and dates. Record the selected engines, prompts allowed, responses analyzed, refresh cadence, full answers, citations, and exports. Separately verify real-user demand research, referral and crawler analytics, shopping coverage, and agent capabilities. Profound shows self-serve prices billed yearly; confirm both vendors’ live billing terms and entitlements before purchase.
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 Profound?
Digraph and Profound both track brand visibility and citations in AI answers. Profound also lists real-user prompt-demand research, crawler and referral analytics, shopping visibility, and content agents. Digraph’s public Standard and Pro plans list supported AI models, with Pro allowing 300 prompts and three brands. Compare plan units and end-to-end workflows—not just headline prices or prompt counts.
How does Profound pricing compare with Digraph?
Profound’s lowest published plan is $99/mo (Starter, billed yearly) with 50 prompts and chatGPT only. 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 Profound alternative?
Digraph is a fit for teams choosing between broader included AI-system coverage and a focused answer-evidence workflow, versus demand research, site-traffic instrumentation, shopping analysis, and content operations. Run the same buyer prompts in both products and compare the full answers, citations, and next actions before deciding.
Can Digraph complement an existing Profound 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 Profound? 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.