All comparisons

Digraph vs Gumshoe

Gumshoe and Digraph both help teams understand how AI systems represent a brand, competitors, and cited sources. Gumshoe packages persona-driven visibility, citation, sentiment, content, and technical audits, with agency pricing per client account. Digraph centers a defined prompt portfolio, answer evidence, citations, competitors, and follow-up analysis. Their published units differ: Gumshoe describes conversations across personas and models, while Digraph publishes prompts and brands. A fair evaluation must compare the same questions, markets, models, cadence, full answers, and evidence fields.

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Abstract network showing connected sources and answer intelligence
Answer evidence, connected

At a glance

Agencies and marketing teams choosing between persona-led recurring audits with per-client packaging and a prompt-centered evidence workflow for monitoring, investigation, and action.

CapabilityDigraphGumshoe
Published entry pricingStandard: $99/month for 30 tracked prompts and 1 brand.Starter: $99/month; Gumshoe describes one monthly Visibility Audit and weekly Snapshot Audits. Pricing is per client account for agencies.
Next self-serve planPro: $249/month for 300 prompts, 3 brands, and 9 listed AI systems.Pro: $299/month; Gumshoe describes monthly Visibility, Sentiment, Citation, and Content Audits, plus daily Snapshot Audits and expanded technical-audit capacity.
Measurement unit and model scopePlans publish tracked prompts and brands, with 9 listed AI systems on Standard and Pro.Gumshoe’s FAQ describes up to 480 conversations per monthly audit across 8 personas, 10 prompts, and 6 models; its agency reporting page describes 11 AI models. Confirm the exact model set and calculation.
Competitor and source contextInspect prompt-level answers, recommendations, competitor mentions, cited URLs, source domains, and changes over time.Gumshoe describes competitive leaderboards, competitor positioning, citation source analysis, and persona/topic coverage; inspect the underlying answers and export fields.
Agency reporting and automationReports and exports are listed on public plans; API access is listed for Enterprise.Gumshoe describes per-client pricing, scheduled reports, API/export workflows, and agency branding for Preferred Partners; a fully white-label client portal is not available according to its agency reporting page.
Technical and content workflowsDigraph routes observed visibility gaps into audits, analysis, Signal, and agent workflows.Gumshoe packages technical audits, content audits, citation and sentiment audits, and content-generation runs into its recurring plans; verify limits and approval controls.

Run a useful side-by-side evaluation

This documentation-based comparison was reviewed September 20, 2026; it is not a hands-on benchmark. Gumshoe’s public pages describe Starter at $99/month and Pro at $299/month, persona-driven visibility audits, weekly or daily snapshot monitoring, citation and sentiment audits, content and technical audit workflows, and agency pricing per client account. Gumshoe’s FAQ says both paid plans run up to 480 conversations per monthly Visibility Audit across 8 personas, 10 prompts, and 6 models, while an agency reporting page describes 11 AI models; that model-count difference should be resolved with the vendor before purchase. Digraph lists Standard at $99/month for 30 prompts and 1 brand and Pro at $249/month for 300 prompts and 3 brands, with 9 listed AI systems. Normalize prompts, personas, model runs, cadence, answer evidence, source fields, and agency delivery requirements before comparing value.

Published by Digraph. Competitor capabilities are summarized from the official sources below, reviewed on . This is a product-documentation comparison, not a hands-on benchmark. Confirm current plan limits and coverage with each provider.

Review Digraph’s documented features and AI search visibility evaluation guide before building your shortlist.

The products package measurement differently

Digraph’s public pricing uses tracked prompts and brands: Standard lists 30 prompts and one brand, while Pro lists 300 prompts and three brands across nine listed AI systems. Gumshoe’s FAQ uses conversations, personas, prompts, and models: it describes up to 480 conversations per monthly Visibility Audit from eight personas, ten prompts, and six models. These are not interchangeable units. Build a workload model using the exact prompt set, persona contexts, model calls, markets, and cadence your team needs.

Resolve the model-coverage discrepancy before choosing

Gumshoe’s FAQ describes six models for the 480-conversation calculation, while its agency reporting page says reports track 11 AI models. Digraph’s pricing page lists nine AI systems on Standard and Pro. Ask both vendors for the exact engines included in the tier you would buy, the number of model runs per prompt, any persona or geography variation, and the stored evidence behind each result. A model count without the underlying answer and schedule is not a comparable coverage metric.

Compare agency economics and client delivery

Gumshoe’s agency page says pricing is per client account, with Starter at $99/month and Pro at $299/month, and describes API/export workflows plus agency branding for Preferred Partners. It also says a fully white-label client portal on an agency domain is not available. Digraph lists three brands on Pro and unlimited brands on Enterprise, with reports and exports on public plans and API access on Enterprise. Test onboarding, client access, branded reports, scheduled delivery, exports, and the analyst time required to explain each finding.

Choose the audit workflow your team will actually use

Gumshoe bundles visibility, sentiment, citation, content, and technical audits into a recurring persona-led program. Digraph emphasizes prompt-level answers, source evidence, competitors, and routing the observed gap into audit, analysis, Signal, and agent workflows. Give both products the same missed-recommendation or citation-gap example and record how quickly a reviewer can identify the source, choose an action, and measure the next run. Public feature descriptions are vendor claims, not independent proof of ranking or revenue gains.

Run a controlled side-by-side pilot

Use the same brand, competitor roster, markets, language, buyer questions, collection window, and export requirements. Record full answers, model and persona context, brand position, competitor mentions, sentiment labels, cited URLs, source domains, refresh cadence, and any quota consumed. Compare one recurring report and one follow-up investigation in each product before deciding which operating model fits your program.

Why teams choose Digraph

Digraph brings the evidence behind AI-search visibility into one focused workflow.

Answer-level evidence

Review the prompts and tracked answers where your brand appears—or does not.

Source and competitor context

See cited domains and competing brands alongside the answer patterns you are measuring.

A clear path to investigation

Use the observed gaps to focus research, content planning, and performance review.

Looking for a Gumshoe alternative?

Choose a workflow your team can use with its real questions and evidence—not only a feature checklist.

How does Digraph compare with Gumshoe?

Gumshoe and Digraph both help teams understand how AI systems represent a brand, competitors, and cited sources. Gumshoe packages persona-driven visibility, citation, sentiment, content, and technical audits, with agency pricing per client account. Digraph centers a defined prompt portfolio, answer evidence, citations, competitors, and follow-up analysis. Their published units differ: Gumshoe describes conversations across personas and models, while Digraph publishes prompts and brands. A fair evaluation must compare the same questions, markets, models, cadence, full answers, and evidence fields.

What should a team evaluate when comparing Digraph and Gumshoe?

Evaluate the actual prompts your buyers ask, the AI systems and markets you need to cover, whether response and source evidence are available, how competitors are compared, and how a finding becomes a repeatable action for your team.

Can Digraph complement an existing Gumshoe workflow?

Yes. Many teams use more than one research or measurement system. Digraph is designed to provide an evidence-led view of AI answers, prompts, citations, competitors, and follow-up work alongside the tools already used by SEO, brand, and content teams.

How should I run a fair AI search visibility evaluation?

Use the same defined prompt portfolio, competitors, markets, AI systems, and reporting period. Review the underlying answers and sources, not only aggregate scores, before deciding which workflow is the best fit.

Explore other AI visibility platforms

Explore AI visibility software

Digraph vs Peec AI

Compare prompt and model allowances, competitor setup, source analytics, and workflow fit using current vendor documentation.

Digraph vs Evertune

A GEO and AI advertising platform for AI visibility, content activation, and campaign execution.

Digraph vs Profound

Compare published prices and prompt allowances with Profound’s conversation research, AI traffic analytics, shopping, and agent workflows.

Digraph vs Scrunch

Compare prompt-level visibility, citation influence, collection cadence, AI referrals, bot traffic, and API access using official documentation.

Digraph vs Conductor

An enterprise SEO platform with AI search capabilities.

Digraph vs Semrush

A broad SEO and digital marketing platform with AI search features.

Digraph vs Ahrefs

An SEO platform whose Brand Radar includes AI visibility research and custom prompt tracking.

Digraph vs OtterlyAI

Compare official pricing, prompt allowances, AI search coverage, and evidence workflows before a fair product trial.

Digraph vs Temso AI

Compare monthly versus annual billing, model and project allowances, answer evidence, and agent-led content workflows using official product sources.

Digraph vs Cituna

Compare daily engine coverage, prompt and brand limits, Search Console access, and the path from a visibility finding to a fix.

Digraph vs Am I Cited

Compare credit-metered AI responses and domain limits with prompt-based plans, engine coverage, and answer evidence.

Digraph vs Rank Prompt

Compare agency pricing, multi-brand capacity, white-label delivery, AI coverage, APIs, and answer evidence using current vendor pages.

Digraph vs Praised

Compare confidence-interval reporting, credit-based plans, agency delivery, citations, competitors, and action workflows using current vendor sources.

Digraph vs Scope

Compare multi-business pricing, prompt checks, AI engines, citations, competitors, reporting, and agency delivery using current vendor sources.

Digraph vs Centium

Compare category-level AI visibility measurement, prompt volume, competitor benchmarks, citations, attribution, and agency delivery using current vendor sources.

Digraph vs AthenaHQ

Compare credit-based AI search visibility, model coverage, citation insights, content optimization, competitor monitoring, and enterprise controls using current vendor sources.

Digraph vs Ayzeo

Compare prompt monitoring, GEO implementation tools, engine add-ons, citation evidence, white-label reporting, and agency workflows using current vendor sources.

Digraph vs Promptwatch

Compare prompt and response quotas, model coverage, citations, competitor heatmaps, agent credits, AEO content, and API access using current vendor sources.

Digraph vs Rankscale

Compare credit-based answer volume, engine coverage, citation gaps, page audits, competitor tracking, API access, and agency reporting using current vendor sources.

Digraph vs Goodie AI

Compare closed-loop AEO pricing, prompt and model coverage, citation evidence, revenue attribution, optimization agents, MCP, and agency workspaces using current vendor sources.

Digraph vs HubSpot AEO

Compare standalone AEO pricing, prompt and answer limits, three-engine coverage, CRM context, citation analysis, and evidence workflows using current vendor sources.

Digraph vs Foglift

Compare Foglift and Digraph on AI visibility monitoring, technical audits, citations, competitors, action workflows, developer access, and published pricing.

Digraph vs GrackerAI

Compare GrackerAI and Digraph on AI visibility monitoring, AEO audits, citations, content execution, competitors, agency workflows, and published pricing.

Digraph vs Prompt Monitor

Compare Prompt Monitor and Digraph on AI visibility tracking, prompt limits, model coverage, competitors, citations, and published pricing.

Digraph vs Llumo

Compare Llumo and Digraph on BYOK economics, AI visibility monitoring, prompts, citations, competitors, API access, and action workflows.

Digraph vs Citations.io

Compare Citations.io and Digraph on AI visibility tracking, answer evidence, citations, competitors, implementation recommendations, and reporting.

Evaluate with your own questions

The right comparison starts with the prompts, competitors, and markets that matter to your brand. Digraph gives your team a shared place to measure and investigate them.