Digraph vs Profound
Compare published prices and prompt allowances with Profound’s conversation research, AI traffic analytics, shopping, and agent workflows.
- Entry price
- Entry $99/mo
- AI coverage
- ChatGPT only
Digraph vs Evertune
Evertune combines repeated AI-answer sampling, source and prompt research, content production, site analysis, and advertising.
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
Evertune
$800/mo
- Plan
- Pro; request demo
- Allowance
- 100,000 prompts tracked (vendor wording)
- AI coverage
- 11 AI models listed
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 | Evertune |
|---|---|---|
| Published entry plan | Standard: $99/month for 30 tracked prompts and 1 brand; Pro: $249/month for 300 prompts and 3 brands. | Pro: $800/month by demo request; the page lists 100,000 prompts tracked across 11 AI models. Confirm what counts as a prompt or response. |
| Question selection and sampling | Configure a stable buyer-question portfolio and inspect dated, completed model API runs. | Uses category and custom prompt research; Evertune says it samples each prompt 100 times per model. |
| Collection surfaces | Supported model API observations; not direct captures of Google AI Overviews or AI Mode. | Evertune lists model and consumer/search surfaces including AI Overviews and AI Mode; verify coverage and cadence on the chosen plan. |
| Answers, citations, and competitors | Identify cited sources and the source domains influencing answers; benchmark your brand against the competitors buyers consider | AI Brand Index, answer visibility, competitor comparisons, cited domains and URLs, and source-influence reporting. |
| Content and technical action | AI Audit and follow-up analysis modules; inspect recorded answers before assigning a change. | Site Audit, Content Analytics, and Content Studio for technical and editorial follow-up. |
| Paid activation | The monitoring workflow reviewed here does not include an equivalent ad-buying suite. | Ads Manager, contextual targeting on AI-cited publishers, and AI Retargeting; confirm availability and partner requirements. |
Key differences between Digraph and Evertune
Evertune combines repeated AI-answer sampling, source and prompt research, content production, site analysis, and advertising. Its published Pro plan is $800 per month and lists 11 AI models. Digraph’s lower-priced self-serve plans focus on configured buyer questions, recorded model API answers, citations when provided, and competitor context. Their collection surfaces, sampling units, and action workflows differ; compare those before treating either visibility score as interchangeable.
Repeated sampling changes what a score represents
Evertune says it repeats each prompt 100 times per model to observe variation, then reports visibility, position-weighted AI Brand Score, and source patterns. Digraph reports from completed runs of configured prompts; its visibility and share-of-voice measures use those observed answers and the selected competitor set. Repeated sampling can reveal answer variation that a single run misses, but a 100-run Evertune topic estimate and a Digraph tracker-day result are different samples. Ask for the response count, prompt set, model versions, and dates behind any score before comparing a trend.
Check the exact AI experience being measured
Evertune’s published FAQ lists both base-model and consumer/search experiences, including Google AI Overviews and AI Mode. Digraph’s current collection records supported model API outputs, not direct observations of those Google Search experiences or every consumer-app answer. If Google AI surfaces are central to the buying decision, verify Evertune’s actual plan entitlement and stored answer evidence on your own questions. Compare overlapping surfaces separately rather than treating a model name as proof that both products observed the same interface.
Evertune connects measurement to content and paid media
Evertune documents Content Analytics for influential source URLs, Site Audit for crawler and page issues, Content Studio for draft creation, and advertising on or after AI-cited publisher visits. Digraph centers the recorded prompt, answer, citation, competitor, and follow-up investigation, with published self-serve prompt and brand limits. A team that needs advertising execution or a large content-production program should evaluate Evertune’s additional modules directly. For an organic visibility test, keep paid placements and resulting conversions separate from changes in unsponsored answers and citations.
Compare the real monthly workload and evidence
Evertune’s Pro page publishes $800 per month, 100,000 prompts tracked across 11 models, and 25 AI-optimized articles per month; Enterprise is custom. Digraph lists $99 Standard and $249 Pro with 30 and 300 tracked prompts. Those headline prompt figures are not equivalent without knowing whether Evertune counts distinct questions, repeated model responses, or another unit. Build one fixed buyer-question portfolio, record the expected model and location combinations, cadence, users, exports, and content or ad requirements, then request a plan-specific quote and run a matched evaluation.
How to evaluate both products
Evaluation scope
This documentation-based comparison was reviewed October 3, 2026; it is not a hands-on product benchmark. Evertune publishes Pro at $800 per month with a demo request, 100,000 prompts tracked across 11 AI models, and a choice of daily, weekly, or monthly tracking. Its FAQ says it repeats each prompt 100 times per model; confirm the exact unit behind the published prompt allowance, selected surfaces, and run cadence with Evertune. In both products, test matching buyer questions, market, language, competitors, and dates. Record the collection mode, successful response count, full answers, cited URLs, and metric formulas. Evaluate Evertune’s content and advertising modules separately from organic visibility results.
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 Evertune?
Evertune combines repeated AI-answer sampling, source and prompt research, content production, site analysis, and advertising. Its published Pro plan is $800 per month and lists 11 AI models. Digraph’s lower-priced self-serve plans focus on configured buyer questions, recorded model API answers, citations when provided, and competitor context. Their collection surfaces, sampling units, and action workflows differ; compare those before treating either visibility score as interchangeable.
How does Evertune pricing compare with Digraph?
Evertune’s lowest published plan is $800/mo (Pro; request demo) with 100,000 prompts tracked (vendor wording) and 11 AI models listed. 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 Evertune alternative?
Digraph is a fit for teams deciding whether they need Evertune’s broad measurement and activation suite or Digraph’s focused answer-evidence 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 Evertune 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 Evertune? 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.