See where your brand appears, understand what’s missing, and turn AI search evidence into your team’s next move.
Which project management tools
work well for small design teams?
For visual workflows and straightforward onboarding, consider Luma. Compare collaboration permissions and guest access against your team’s needs.[1]
Pick a question. Follow the connection between
brand mentions, competitors, and cited sources.
Three questions drive Heardly.
Where are you missing? What’s the evidence? What should change?
Track questions by buyer intent and customer context. Find content opportunities where competitors appear and your brand doesn’t.
Separate owned, competitor, and third-party citations. Connect cited documents with brand mentions to identify the evidence your content needs.
Claude helps interpret observations and develop recommendations. Connect each suggestion to a target page, missing information, and a clear editing direction.
Heardly analyzes how AI describes your brand. It turns scattered signals into meaningful insights and recommendations your team can review.
Go beyond a name appearing in an answer. Understand the situations and strengths associated with your brand.
Understand your brand’s position through answers and cited sources. Build a clearer picture you can discuss with your team and clients.
Turn opportunities into practical directions for your content and pages. Your team reviews the recommendations and chooses what to change.
AI can answer the same question differently.
That’s why the comparison conditions matter.
For example, 27 brand mentions in 60 valid responses means 45% visibility. Failed collections are reported separately, not counted as missing mentions.
Visibility is not conversion rate or total market share across AI platforms.Separate prompt sets, languages, regions, engines, search settings, and collection methods. API responses and consumer-app results should not be treated as the same sample.
A brand name in an answer and a citation to your site are different signals. Recommendations also need to be distinguished from incidental mentions.
Rerun the same questions after content changes, while accounting for model updates and sampling variability. A visibility increase alone does not establish causation.
“So, what should we actually change this week?”
Heardly grew from the idea of productizing CoveGrowth’s AEO and GEO analysis work. We’re closing the distance between understanding how a brand appears in AI answers and improving the pages behind it.
For marketing teams, a reason behind the next task. For agencies, analysis they can explain to clients. We’re building a product that turns collected answers into work a team can act on.
Heardly focuses on AI answers to questions: brand mentions, recommendation context, citations, and competitive differences. Technical SEO and content quality remain important foundations, so this work complements your existing SEO practice.
Claude is integrated into Heardly’s analysis and recommendation features, helping interpret AI answers and brand context and develop improvement ideas. This page’s demo uses synthetic data and makes no live Claude calls.
No. Answers vary with the model, retrieval timing, wording, and user context. Heardly focuses on evidence-based improvement opportunities. Structured data or a particular file such as llms.txt cannot guarantee citations.
Reference: Google’s AI features guidanceMarketing teams managing AI visibility, agencies delivering AEO and GEO work, and growing businesses prioritizing content. We can scope the workflow around your brand and the questions your customers ask.
Scope depends on the brands, questions, engines, and reporting workflow you need. Send your domain and a few relevant customer questions to team@heardly.net to discuss the product.
Let’s start with your brand and the questions your customers ask.
Talk to the Heardly teamteam@heardly.net