Current visibility, movement since last run, and the highest-value opportunity to address.
MYRAH FOR SAAS TEAMS
Own the answer buyers actually ask.
See how AI models position your product against competitors across category, comparison, and use-case prompts.
Evidence-backed. Buyer-intent aware. Built for repeat measurement.
THE MARKETING PROBLEM
Buyers ask AI first. Marketing sees it last.
Category, comparison, and use-case answers are shaping shortlists before a rep is ever contacted.
- Without a repeatable audit, AI answers stay anecdotal and hard to act on.
- Someone is being named in category and comparison answers — and it may not be you.
The solution
A defined view of the answer layer buyers use.
A verdict grounded in mention rate, citation rate, and intent coverage across live AI answers.
Share of Voice by category, comparison, and use case — with the answers behind the ranking.
Missing prompts, weak citations, and positioning gaps become an action list tied to real evidence.
Evidence row 1
Find where the buyer journey breaks.
Intent Clusters separate discovery, category, comparison, and use-case performance so a strong branded result cannot hide the stage where your product stops appearing.

Evidence row 2
See which intents competitors own.
Compare the full competitive field with each intent to see whether a competitor leads everywhere or only in the prompts that matter most.

A working view of AI visibility your team can act on.
Rank and Share of Voice per intent, with the exact prompts you own and the ones a competitor wins.
How AI describes your product, where sentiment shifts by engine, and which themes are moving.
Evidence-backed recommendations ready for content, positioning, or product-marketing work.
Essential questions
How is this different from SEO tools?
Traditional SEO measures search rankings, keywords, and traffic. Myrah measures how AI models describe, cite, and recommend your product inside generated answers — a different surface with different rules.
Which AI models are covered?
Myrah runs the current prompt set across supported production models. The list is documented in Methodology and updates as coverage changes.
Do you generate content for us?
No. Myrah surfaces gaps and evidence — content, positioning, and go-to-market execution stays with the team.
How often should we audit?
Most teams run a baseline audit, then re-run monthly or after a significant release. Movement is only meaningful compared to a documented starting point.
Can we track feature-level or use-case prompts?
Yes. Custom prompts sit alongside the generated set, so category-level and product-specific coverage can be measured together.
Find out what AI says about your product this week.
Start with an audit against your live positioning and see where the competitive gap actually is.
Plans from $69/mo. Results vary by prompt set, model, and run.