Digraph vs OtterlyAI
Compare official pricing, prompt allowances, AI search coverage, and evidence workflows before a fair product trial.
- Entry price
- Entry €29/mo
- AI coverage
- 4 included; 3 as add-ons
Digraph and Peec AI both track how brands appear in AI answers, but their published plan units differ.
$99/mo
€89/mo
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.
| Capability | Digraph | Peec AI |
|---|---|---|
| Published self-serve prompt limits | Standard: 30 prompts and 1 brand; Pro: 300 prompts and 3 brands. | Starter: 50 prompts and 1 project; Pro: 150 and 2; Advanced: 350 and 5. Each lists daily tracking and 3 selected models. |
| AI-system coverage | Standard and Pro include supported model APIs; confirm configured collectors and successful runs. | Starter, Pro, and Advanced let teams choose 3 models; Enterprise lists all available models, up to 13 LLMs. |
| Prompt organization | Track the buyer questions and personas relevant to a brand. | Lists topics, tags, categories, prompt suggestions, and branded, non-branded, and intent classification. |
| Competitor setup | Compare visibility, recommendations, share of voice, prompt wins, sentiment, and citations across competitors. | Suggests brands detected at least twice in prompt responses; teams can add competitors manually and tune names with aliases or RegEx. |
| Source and citation analysis | Inspect answer evidence, cited sources, and the domains appearing alongside competitors. | Lists URL/domain detail, retrievals, citation share, source classification, and gap analysis. Its docs distinguish retrieved sources from URLs explicitly cited in an answer. |
| Analysis workflow and integrations | Pro lists AI Audit, AI Round Table, Marketing & Technical Analysis, Digraph Signal, and Digraph Agents. | Documents a Peec Agent and ready-made MCP analysis workflows; its pricing page lists Looker Studio on Advanced and API access on Enterprise. |
Digraph and Peec AI both track how brands appear in AI answers, but their published plan units differ. Peec lists 50, 150, and 350 prompts on its Starter, Pro, and Advanced plans, with three selected models and daily tracking; Advanced also lists multi-country coverage and Looker Studio integration. Digraph lists 30 prompts and one brand on Standard, and 300 prompts and three brands on Pro, with supported AI models on both. Compare prompt capacity, active model breadth, source evidence, and team workflow together—not headline prompt counts alone.
Peec’s documentation describes automatic competitor suggestions when a brand appears at least twice, manual competitor setup, aliases, and RegEx controls. Its source reporting separates URLs retrieved by an AI system from citations that appear in the answer text, and exposes URL/domain detail, retrievals, citation share, classifications, and gaps. Teams that need this source-analysis depth or documented MCP workflows should include those tasks in a trial.
Digraph’s public Standard and Pro plans include supported AI models, while Peec’s public Starter, Pro, and Advanced plans let teams choose three models; Peec lists broader model choice on Enterprise. Digraph Pro also lists AI Audit, Signal, analysis, and agent modules alongside its 300-prompt, three-brand allowance. This may suit a team that values wider included coverage and an action-oriented workspace, but it should be verified against the exact engines, evidence, and follow-up workflow the team needs.
Build a fixed set of high-intent buyer prompts and use the same market, language, competitor roster, active AI systems, and collection dates in each product. For every result, record the prompt, full answer, brand position, competitor mentions, retrieved URLs, explicit citations, and how the tool defines each visibility metric. Then test exports, integrations, user access, and the steps needed to turn one verified gap into a content or source investigation. Do not treat prompt count as comparable unless the engines and tracking cadence match.
This documentation-based comparison was refreshed on September 15, 2026; it is not a hands-on product benchmark. Peec AI’s public pricing page lists 50, 150, and 350 prompts on Starter, Pro, and Advanced, with three selected models and daily tracking on those plans. Digraph lists 30 prompts and one brand on Standard, and 300 prompts and three brands on Pro, with supported AI models on both. These allowances measure different things. For a fair trial, compare the same buyer prompts, active AI systems, markets, languages, competitors, date range, answer evidence, cited URLs, and exports. Recheck live pricing and plan entitlements before purchase.
Competitor capabilities are summarized from the official sources below. This is a documentation-based comparison published by Digraph, not a hands-on benchmark.
Digraph and Peec AI both track how brands appear in AI answers, but their published plan units differ. Peec lists 50, 150, and 350 prompts on its Starter, Pro, and Advanced plans, with three selected models and daily tracking; Advanced also lists multi-country coverage and Looker Studio integration. Digraph lists 30 prompts and one brand on Standard, and 300 prompts and three brands on Pro, with supported AI models on both. Compare prompt capacity, active model breadth, source evidence, and team workflow together—not headline prompt counts alone.
Peec AI’s lowest published plan is €89/mo (Starter) with 50 prompts, 1 project and 3 selected models. 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.
Digraph is a fit for teams deciding whether prompt and project capacity, included AI-system breadth, source evidence, or workflow integrations matter most for their evaluation. Run the same buyer prompts in both products and compare the full answers, citations, and next actions before deciding.
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.
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.
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.