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Digraph.dev VS Kymo.in

Compare Digraph.dev VS Kymo.in and see what are their differences

Digraph.dev

AI marketing platform for brands.

No screenshot yet
Rating
0 reviews
Pricing
Freemium Free trial $99 / Monthly
Alternatives Is it good?
Kymo.in

See what ChatGPT, Claude, Perplexity and other AI engines read on your site, which pages they care about, and whether that attention turns into real visitors.

Rating
0 reviews
Alternatives Is it good?
mbuzz.co
Multi-touch attribution that shows the model behind the number. 8 models compared side-by-side, a SQL-like DSL to write your own, and open-source SDKs for Ruby, Node, Python, and PHP. Runs server-side. Your data, not theirs. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Marketing popularity
100% vs 0%
alternatives listed
1 vs 14

Base details

Website, pricing, platforms and company facts side by side.

Digraph.dev
Kymo.in
Website digraph.dev kymo.in
Pricing
Freemium Free trial $99 / Monthly Official pricing
Official pricing
Platforms —
Web Mobile
Company Startup from the United States · 1 - 9 employees —
Listed in
SaaS Market Research Marketing Platform Marketing +1
SEO Tools AEO Tools AEO Auditing AI Tools AI +2

About Digraph.dev and Kymo.in

In their own words, as submitted to SaaSHub.

Digraph.dev
Kymo.in

Digraph is an AI marketing platform for brands. It brings together AI research, market intelligence, website and campaign analysis, specialist AI workflows, and marketer-led guidance to help teams understand what shapes buyer decisions and what to do next. Teams can measure how AI systems...

Read more about Digraph.dev

No description of Kymo.in yet.

Features and specs

What each product offers, as listed by its team.

Digraph.dev 5 features
Kymo.in 3 features
  • Developer-focused positioning
    The .dev domain and branding suggest a tool built for developers and technical teams, so its workflows are likely to fit engineering needs better than a generic product. I could not browse the site, so this is inferred from its positioning rather than confirmed.
  • Graph-based approach
    The name 'Digraph' (directed graph) suggests it models information as connected nodes and relationships. That kind of structure can make dependencies, ideas, or decisions easier to see than flat lists or documents. Confirm how the product actually uses this.
  • Modern, minimal presentation
    Newer developer tools tend to have lean interfaces and a focused feature set, which can mean a short learning curve and less clutter. I could not verify this for Digraph, so check it with a trial.
  • Potential for better organization and clarity
    If the tool works as the name suggests, visualizing relationships between items can improve shared understanding across a team. The benefit depends on how well the product is executed.
  • Early-stage responsiveness
    Smaller or newer products often respond quickly to user feedback and let users influence the roadmap. This is a general tendency and has not been verified for Digraph.
  • Analytics Dashboard
    Real-time human and AI visitors analytics
  • AI Visibility Tracking
    Track which pages are being fetched by AI agents such as ChatGPT, Gemini, Claude, Perplexity
  • AI Attribution & Insights
    Track revenue and attribution from traffic referred by AI engines

Videos

Walkthroughs and reviews on video.

Digraph.dev 0 videos + Add
Kymo.in 1 video + Add

No Digraph.dev videos yet. You could help us improve this page by suggesting one.

Kymo Demo Video

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Digraph.dev
Kymo.in
100% 100%
Marketing
0% 0%
0% 0%
SEO Tools
100% 100%
100% 100%
Marketing Platform
0% 0%
0% 0%
AI Tools
100% 100%

Questions & Answers

As answered by people managing Digraph.dev and Kymo.in.

What makes your product unique?

Kymo.in's answer:

Most AI visibility tools stop at counting brand mentions in AI answers. Kymo tracks what happens after the mention: which pages AI crawlers read, the visitors who arrive from AI answers, and which of those pages earn signups or Stripe revenue. Mention counts are vanity metrics - page-level revenue attribution is what you can act on.

Why should a person choose your product over its competitors?

Kymo.in's answer:

  • Enterprise AI monitoring dashboards are built for brand teams with enterprise budgets. Kymo is built for founders and agencies who need to prove ROI, at $9/mo
  • Connects the full loop: AI reads -> AI-referred visitors -> conversion goals and Stripe revenue, attributed at the page level
  • Runs on Astro, SvelteKit, Express and most modern stacks in minutes
  • Agencies can finally report AEO results as outcomes, not "you got mentioned in ChatGPT"

How would you describe the primary audience of your product?

Kymo.in's answer:

  • SaaS founders and growth teams who want to know if AI visibility actually drives signups and revenue
  • AEO/SEO agencies that need to prove ROI to clients beyond mention counts
  • Content-led dev tools whose docs are being consumed by LLMs

What's the story behind your product?

Kymo.in's answer:

Kymo was built by Narender Charan, an SEO/AEO specialist with 9+ years in search who runs a crypto AEO agency. The industry sold "AI visibility" as mention counts, but the question clients actually asked was always the same: did any of it pay? Kymo is the measurement layer built to answer that - which pages AI reads, who comes back, and what they buy.

User comments

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Alternatives to Digraph.dev and Kymo.in

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