Digraph vs Semrush
Compare Semrush’s AI Visibility Toolkit with Digraph’s focused answer-evidence workflow.
- Entry price
- Entry $99/mo
- AI coverage
- 4 AI surfaces
Digraph vs Ahrefs Brand Radar for AI Visibility Software
Ahrefs Brand Radar offers two routes to AI visibility: explore its precollected, search-backed response index or track your own prompts at a chosen cadence.
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
Ahrefs
From $50/mo
- Plan
- Custom Prompts add-on
- Allowance
- User-defined prompts; index is $199/mo
- AI coverage
- Selected 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
| Capability | Digraph | Ahrefs |
|---|---|---|
| Prompt discovery | Choose and organize questions for a defined brand, market, and buyer journey. | Search a precollected, search-backed AI response index and generate ideas for Custom Prompts. |
| Recurring measurement | Run configured prompts through supported model APIs; inspect successful runs and their dates. | Track Custom Prompts by selected platform and location at daily, weekly, or monthly frequency. |
| Answer and citation evidence | Inspect recorded responses, mentions, citations when provided, and source URLs. | Inspect AI responses, cited pages and domains, mentions, and citation metrics. |
| Competitor context | Compare the same question set and reporting period against a configured competitor roster. | Benchmark brands in the Index or a Custom Prompts report using AI share of voice. |
| Broader SEO research | Focused AI-answer investigation that can sit alongside an SEO stack. | Keyword, content, link, and web visibility research in the wider Ahrefs suite. |
Key differences between Digraph and Ahrefs
Ahrefs Brand Radar offers two routes to AI visibility: explore its precollected, search-backed response index or track your own prompts at a chosen cadence. Digraph focuses on configured buyer questions and the answers, mentions, citations, and competitors recorded from supported model APIs. Both expose answer and source evidence; compare their collection surfaces, sampling units, and investigation workflow before comparing scores.
Use the Index for discovery and Custom Prompts for a controlled test
Brand Radar’s Index lets teams explore a large set of previously collected, search-backed AI answers without first creating a tracker. Its Custom Prompts measure chosen questions from the time they are added. Ahrefs says chatbot Index data refreshes monthly, while Custom Prompts can be checked daily, weekly, or monthly. Digraph’s recurring view starts with the buyer questions and supported model APIs configured for a tracker. An Index score and a small custom portfolio have different question sets and time windows; neither should be treated as the other’s validation.
Compare the actual answer surfaces and denominators
Ahrefs documents separate Index and Custom Prompt coverage, including Google AI Overviews and AI Mode. Digraph’s current collection uses supported model APIs rather than direct captures of those Google Search surfaces or every consumer-app answer. Ahrefs defines AI share of voice as a brand’s share of estimated impressions against tracked brands; Digraph calculates its share of voice from observed mentions within a configured competitor set. Before placing two scores side by side, record the platform or API, model or mode, location, prompt portfolio, successful-answer count, and period behind each value.
Both products provide answer and citation evidence
Ahrefs shows AI responses and cited pages, while Digraph preserves the response and citation context of tracked runs. Test the investigation your team actually needs: pick a question where a competitor appears and your brand does not, open the underlying answer in each product, identify whether your domain was cited, and distinguish an explicit recommendation from a mention. Then ask which source or owned-page change is supported by the evidence. A citation is an observed link, not proof that the page caused a particular answer.
Model the cost of the workload
Ahrefs sells its large AI Index separately from check-based Custom Prompt tiers; a check depends on the prompt, selected platform, location, and update frequency. Digraph publishes plan limits in tracked prompts and brands. These units are not equivalent. Estimate the monthly checks needed for your actual prompt set in Ahrefs, then confirm live pricing and entitlements for both products, including the systems, markets, exports, and people who need access.
How to evaluate both products
Evaluation scope
This is a documentation-based comparison reviewed October 3, 2026, not a hands-on product benchmark. First choose whether the job is exploring a precollected, search-backed AI response index or monitoring a fixed portfolio of buyer questions. Ahrefs offers both through its Index and Custom Prompts; Digraph monitors configured questions through supported model APIs. For a fair trial, use the same prompts, location, language, competitor names, available systems, and dates. Save full answers, mentions, citations, failed runs, and each product’s metric denominator. Check current plan entitlements and the exact collection surface before interpreting differences.
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 Ahrefs?
Ahrefs Brand Radar offers two routes to AI visibility: explore its precollected, search-backed response index or track your own prompts at a chosen cadence. Digraph focuses on configured buyer questions and the answers, mentions, citations, and competitors recorded from supported model APIs. Both expose answer and source evidence; compare their collection surfaces, sampling units, and investigation workflow before comparing scores.
How does Ahrefs pricing compare with Digraph?
Ahrefs’s lowest published plan is From $50/mo (Custom Prompts add-on) with user-defined prompts; index is $199/mo and selected 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 Ahrefs Brand Radar alternative?
Digraph is a fit for teams choosing between broad AI-topic discovery inside an established SEO suite and focused monitoring of their own buyer questions. Run the same buyer prompts in both products and compare the full answers, citations, and next actions before deciding.
Can Digraph complement an existing Ahrefs 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 Ahrefs? 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.