Cituna’s pricing page lists six engines checked daily, Google Search Console integration on paid plans, generated fixes, and MCP access. Its homepage’s illustrative demo also displays Google AI Mode as a seventh system, but the pricing page does not state whether that engine is included at a specific tier or cadence. Digraph lists nine AI systems on Standard and Pro, with different prompt and brand allowances. A fair evaluation should confirm the exact engine entitlements, then compare each engine, answer, citation, refresh cadence, and post-analysis workflow.
Answer evidence, connected
At a glance
Teams weighing a lower entry price and daily plan-listed engine coverage—while confirming Google AI Mode availability—against Digraph’s broader listed coverage and prompt, brand, and evidence workflow.
Capability
Digraph
Cituna
Entry plan and trial
Standard: $99/month for 30 prompts and 1 brand.
Starter: $39/month for 10 prompts and 1 brand; the 3-day trial requires a card and rolls into Starter unless canceled.
Next self-serve plan
Pro: $249/month for 300 prompts and 3 brands.
Pro: $119/month for 30 prompts, 3 brands, and 5 seats.
Published AI-engine coverage
All 9 listed AI systems are included on Standard and Pro.
Cituna pricing lists 6 engines checked daily and excludes Microsoft Copilot. Its homepage demo depicts Google AI Mode as a seventh column, but plan entitlement and cadence are unspecified; confirm directly.
Answer evidence and measurement
Inspect tracked answers, citations, sources, competitors, and changes over time.
Cituna describes prompt-level answer and citation reporting across its included engines; compare the available archive, exports, and market controls in a trial.
Research and execution workflow
Pro lists audit, analysis, Signal, and agent modules alongside monitoring.
Cituna lists Google Search Console and read-only MCP from Starter, generated schema/FAQ/content fixes, and read/write MCP from Pro.
Run a useful side-by-side evaluation
This documentation-based comparison was reviewed September 15, 2026; it is not a hands-on benchmark. Cituna pricing lists Starter at $39/month for 10 prompts, one brand, and six AI engines checked daily; Pro is $119/month for 30 prompts, three brands, and five seats. The homepage’s illustrative demo also shows a Google AI Mode column as a seventh system, but the pricing page does not specify whether AI Mode is included on a paid tier or its cadence. The six engines explicitly listed in pricing do not include Microsoft Copilot. Digraph lists Standard at $99/month for 30 prompts and one brand, and Pro at $249/month for 300 prompts and three brands, with all nine listed AI systems on both. Confirm the precise engine set, prompt cadence, answer evidence, brand count, and action workflow; prompt totals alone are not equivalent units.
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.
Compare prompt limits with engine and cadence coverage
Cituna pricing lists 10 prompts on Starter and 30 on Pro, with six engines checked daily. Its homepage’s illustrative demo also presents Google AI Mode as a seventh system, but pricing does not specify whether it is included on Starter, Pro, or Max or how often it runs. Digraph lists 30 prompts on Standard and 300 on Pro, with nine listed AI systems on both plans. Confirm actual plan coverage, then compare the same buyer prompts, markets, schedule, and saved-answer evidence.
Price the full workflow, not only the starting tier
Cituna lists Starter at $39/month and Pro at $119/month; Digraph lists Standard at $99/month and Pro at $249/month. Cituna’s 3-day trial requires a card. Cituna also describes Google Search Console, MCP, and generated fixes, while Digraph Pro lists its audit, analysis, Signal, and agent modules. Compare the recurring workload, brand count, team access, evidence retention, and the actions your team will actually use.
Run a like-for-like pilot
Use the same buyer prompts, brand aliases, market, language, and measurement window. For each engine, inspect the exact answer, brand position, cited URLs, competitor mentions, refresh time, and export. Then give both products the same verified visibility gap and compare how each supports the next action and later measurement. The published feature descriptions are vendor claims, not independent proof of ranking or traffic gains.
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 Cituna alternative?
Choose a workflow your team can use with its real questions and evidence—not only a feature checklist.
How does Digraph compare with Cituna?+
Cituna’s pricing page lists six engines checked daily, Google Search Console integration on paid plans, generated fixes, and MCP access. Its homepage’s illustrative demo also displays Google AI Mode as a seventh system, but the pricing page does not state whether that engine is included at a specific tier or cadence. Digraph lists nine AI systems on Standard and Pro, with different prompt and brand allowances. A fair evaluation should confirm the exact engine entitlements, then compare each engine, answer, citation, refresh cadence, and post-analysis workflow.
What should a team evaluate when comparing Digraph and Cituna?+
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 Cituna 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.
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.
