AI visibility
Review brand mentions and recommendation context by question. Understand the customer intents where a brand appears or is absent.
Example: distinguish comparison questions from adoption questions.
Understand where your brand appears in AI answers, which sources get cited, and what your team should improve next. A product developed and operated by CoveGrowth.
A mention alone rarely tells a team what to do next. The customer’s question, the context around competitors and the cited sources all matter when deciding which page to improve.
01Where does our brand appear?
02What evidence accompanies competitors?
03Which page should we change, and how?
These are Heardly’s core areas of analysis. The public demonstration lets you explore the workflow using synthetic data.
Review brand mentions and recommendation context by question. Understand the customer intents where a brand appears or is absent.
Example: distinguish comparison questions from adoption questions.
Review mentions separately from cited URLs. Distinguish owned, competitor and third-party sources to examine the evidence behind an answer.
Example: inspect the information supplied by a cited feature comparison.
Compare brands within the same question set and collection conditions. Results from different environments are not treated as a single ranking.
Example: identify use-case questions where only a competitor appears.
Connect observed evidence and information gaps with a target page. Frame concrete changes that a person can review and implement.
Example: clarify guest-permission comparisons on a page missing that information.
Choose an engine in the public demo, then inspect a question’s brand mentions and supporting sources. The numbers and examples use synthetic data to explain the product experience.
Open the Heardly demoThe demo is not customer performance or live AI search, and makes no Claude API calls.
Answer text · Cited URL · Permission details
Clarify the page’s information so readers can compare guest permissions.
Review before publishingOur design direction for an analysis workflow using Claude: separate observations from model interpretation, retain the evidence behind recommendations, and keep a person responsible for the final decision.
Workflow design · Separate from the public demoRetain the question, language, region, environment and collection time. Treat API responses and consumer-app results as separate samples.
Separate brand mentions, recommendation context, competitors and cited URLs. A name appearing is not automatically a recommendation or a citation.
The intended role for Claude is to interpret brand context from answers and supporting evidence, and organize missing information into structured improvements.
Design each recommendation around a question, evidence, target page, information gap, action and review status. Do not turn an inference into a promised result.
A reviewer checks the source evidence and proposal before deciding what to change. Subsequent evaluation considers comparable measurements and the change history.
We are designing around Claude’s role in interpreting complex answer context, identifying relevant information gaps and structuring actions for human review. Our priorities are traceability, consistent evaluation and practical execution.
This describes the technical design direction, not a claim that every stage is deployed with a production API integration. Claude is an Anthropic product; this page does not imply an official partnership or program acceptance.
Heardly is a CoveGrowth product. When you also need changes to content, a website or commerce experience, our agency services can support the execution alongside product adoption.
Tell us where your brand is today and where you want to go.
We'll work out the next steps together.
Opens your email app. Include your brand, current website and preferred timing.