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 Conductor for AI Search Intelligence
Conductor combines AI Search Performance with broader SEO, content, website-performance, and analytics workflows.
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
Conductor
Custom
- Plan
- Sales-led, usage-based credits
- Allowance
- AI Response Credits
- AI coverage
- 7 models described
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 | Conductor |
|---|---|---|
| AEO and SEO workflow | AI-search-focused analysis and connected follow-up modules. | Unified AEO, organic SEO, content, website-performance, and analytics workflows. |
| Prompt generation and customization | Organize the buyer questions and personas your team chooses to monitor. | Generates and customizes prompts by persona, intent, topic, brand, region, and domain; its materials cite a decade of keyword data. |
| AI engine coverage | Public Standard and Pro plans list supported AI models. | Public engine-coverage material describes tracking across 7 models, including ChatGPT, Google AIO and AI Mode, Perplexity, Copilot, and Gemini. |
| Citations and competitive context | Identify cited sources and the source domains influencing answers; benchmark your brand against the competitors buyers consider | Tracks mentions, citations, sentiment, competitive market share, topics, and prompt-level performance. |
| AI traffic and business impact | Public materials reviewed here focus on answer, citation, competitor, and investigation evidence. | Connects AI referral sessions, engagement, conversions, and revenue through web-analytics integrations such as GA4. |
| API and workflow integration | Enterprise API and CSV access are documented for selected reporting surfaces. | Documents a Data API and MCP capabilities for BI tools and internal AI workflows. |
Key differences between Digraph and Conductor
Conductor combines AI Search Performance with broader SEO, content, website-performance, and analytics workflows. Its public materials describe persona and intent-based prompt generation, multi-engine visibility, mentions and citations, competitive market share, AI referral traffic, conversions, and API or MCP integration. Digraph is a focused AI-search intelligence layer for teams that want to inspect the prompt, answer, cited source, competitor context, and next action together.
Conductor is a broader search-intelligence system
Conductor positions AI Search Performance inside a larger AEO and SEO platform. Its public materials describe a system of record for AI visibility, with audience and intent analysis, competitive market share, mention and citation tracking, prioritized recommendations, and business-impact integrations. That breadth can reduce tool switching for teams that need one reporting and activation environment. Digraph is narrower by design: it connects the answer, citation, competitor, and investigation evidence needed to decide what to examine next.
Compare prompt generation with prompt-level evidence
Conductor documents synthetic prompts shaped by audience personas, search intent, topics, regions, and its keyword data. Digraph’s public workflow emphasizes the monitored buyer questions and the underlying answer evidence. A fair test should use the same fixed prompts after any discovery phase, then compare the full response, mention or recommendation result, citations, competitor framing, and metric denominator—not only the generated prompt count.
AI visibility and AI-attributed revenue are different jobs
Conductor documents connections to analytics such as GA4 for AI referral sessions, engagement, conversions, and revenue, alongside its visibility reporting. Those are valuable business-impact signals, but they do not replace inspecting why an answer mentioned a brand or cited a page. Decide whether the evaluation needs answer investigation, referral attribution, or both, and verify the required integrations and plan limits.
Run a controlled enterprise evaluation
Choose a shared portfolio of high-intent prompts, the same brands and competitors, matching markets and languages, and a common observation window. Compare engine coverage, prompt-generation controls, full-answer and citation access, sentiment definitions, competitive metrics, refresh cadence, exports, API fields, user governance, and analytics integrations. Then assign one observed gap to an owner and test whether each product makes the next action clearer.
How to evaluate both products
Evaluation scope
This is a documentation-based comparison refreshed September 27, 2026; it is not a hands-on product benchmark. Conductor documents an enterprise AEO and SEO platform with AI Search Performance, persona and intent customization, competitive market-share reporting, AI traffic and conversion insights, and a usage-based AI Response Credit model. Digraph focuses on answer-level visibility evidence, including prompts, responses, citations, competitors, and follow-up investigations. Use the same buyer questions, brands, competitors, markets, languages, engines, date range, cited URLs, exports, and metric definitions in a trial before comparing outcomes.
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 Conductor?
Conductor combines AI Search Performance with broader SEO, content, website-performance, and analytics workflows. Its public materials describe persona and intent-based prompt generation, multi-engine visibility, mentions and citations, competitive market share, AI referral traffic, conversions, and API or MCP integration. Digraph is a focused AI-search intelligence layer for teams that want to inspect the prompt, answer, cited source, competitor context, and next action together.
How does Conductor pricing compare with Digraph?
Conductor’s lowest published plan is Custom (Sales-led, usage-based credits) with aI Response Credits and 7 models described. 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 Conductor AI Search alternative?
Digraph is a fit for enterprise SEO teams deciding whether they need a unified AEO, organic search, content, and business-impact platform or a 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 Conductor 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 Conductor? 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.