Turn AI insights into AI visibility.
Zire analyses the answers returned for your tracked prompts, finds the content and signals helping other brands appear, then turns that evidence into prioritised jobs your team can actually complete.
Find opportunities from a real AI question
Zire analyses the answers, competitors and sources connected to each prompt.
Practical work generated from your tracked evidence.
Create a Manchester plumber comparison guide
Comparison-led pages repeatedly support the brands recommended for this prompt. Your website does not currently have a dedicated Manchester plumbing comparison resource.
Add pricing and response-time FAQs
AI answers frequently reference expected prices, callout fees and response times. These details are missing from your current service page while competing pages answer them directly.
Build citations from trusted local sources
Several competing plumbers are referenced by local directories and trusted regional websites that also appear as sources across monitored AI answers.
Data-backed recommendations from live AI.
Zire combines signals across your monitored AI providers and Google Search so recommendations are based on recurring evidence, not a single answer.
ChatGPT
Find the content, sources and brands repeatedly surfaced across ChatGPT answers.
Explore ChatGPT →
Gemini
Use Gemini answer patterns as another source of optimisation evidence.
Explore Gemini →
Claude
Compare recommendations and source patterns inside Claude responses.
Explore Claude →
Perplexity
Use citation-rich Perplexity results to identify strong source and content patterns.
Explore Perplexity →
Grok
Include Grok visibility data when identifying recurring opportunities.
Explore Grok →
Google Search
Bring Google AI Overview and organic search evidence into the same strategy.
Explore Google →Go from the answer to what you should do next.
Zire works backwards from the AI answer. It identifies the signals associated with brands already being surfaced, finds what your brand is missing and converts that gap into practical work.
Target the right visibility gap.
Zire does not reduce every opportunity to “write another article”. The recommendation changes depending on the evidence — from improving an existing page to creating social, video or authority-building work.
See why Zire recommended it.
Every recommendation can be traced back to the monitored prompt, the answer evidence and the patterns found across winning sources. You can see the reasoning before deciding whether to act.
Know what to work on first.
A long list of ideas is not useful if you do not know where to start. Zire scores recommendations so the strongest opportunities rise to the top.
From insight to completed task.
Once you decide a recommendation is relevant, move it forward with the target prompt, evidence and working strategy already attached — so the recommendation becomes something actionable.
AI Visibility
See whether completed recommendations translate into stronger overall visibility.
Prompt Tracking
Connect every recommendation back to the customer question that created the opportunity.
Competitor Tracking
Use competitor visibility gaps as evidence for where your brand needs to improve.
Citation Tracking
Use cited pages and source patterns to understand what content AI already trusts.
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Google Search
Bring AI Overview and organic search evidence into your optimisation strategy.
Actions
Move accepted recommendations into work and keep track of what needs completing.
Questions about AI visibility recommendations?
Learn how Zire turns answer evidence into prioritised optimisation work for your brand.
How does Zire generate recommendations? +
Zire analyses the results from your tracked prompts, including brand appearances, citations, competitors and recurring content patterns. It compares that evidence with your own visibility and uses the gaps to generate relevant optimisation recommendations.
Are recommendations based on actual AI answers? +
Yes. Recommendations are tied to evidence collected from the monitored prompts and providers in your project rather than being generated as generic marketing ideas.
What kinds of recommendations can Zire create? +
Zire can identify opportunities for new content, improvements to existing pages, social posts, video content and outreach or authority-building activity depending on the evidence behind the visibility gap.
Can I see why a recommendation was made? +
Yes. Recommendations can include the associated prompt, winning content, recurring source patterns and the detected gap so you can understand the evidence before deciding whether the work is relevant.
How are recommendations prioritised? +
Zire uses opportunity signals such as prompt importance, your current visibility gap, the strength of the available evidence and how broadly the recommendation could affect tracked visibility.
Can recommendations improve more than one prompt? +
Yes. A single content or authority gap can affect several related customer questions. Zire can surface those connections so one piece of work may support visibility across multiple prompts.
What happens when I accept a recommendation? +
Relevant recommendations can be moved forward into actionable work with their prompt, evidence and suggested strategy attached, making it easier to complete and measure afterwards.
Can I measure whether a completed recommendation worked? +
Yes. Because the recommendation remains connected to your tracked prompts, you can continue monitoring mentions, recommendations, citations and visibility after the work has been completed.
Stop guessing what to optimise. Follow the evidence.
Track the questions your customers ask, understand what AI is rewarding and get prioritised recommendations for improving your brand’s visibility.
