Cycling through all six. Tap any point to stop.

Measured on six things

Track & improve your brand's visibility across AI search ...

Security

HTTPS and HSTS are enforced, and DMARC is set. But missing CSP, frame protection, and SPF, plus no SOC 2 or bug bounty, leaves the security posture basic.

Screenshots

1 / 5

Koalr

About this app

Koalr is an AI Visibility Intelligence platform that monitors how your brand appears across seven major AI answer engines: ChatGPT, Claude, Gemini, Perplexity, Microsoft Copilot, Google AI Overviews, and Google AI Mode. It runs 25 real buyer prompts per scan, calculates an AI Visibility Score (0–100), and provides actionable insights—like which pages to optimize, what schema to add, and which competitor content to counter. You get sentiment analysis, share of voice, competitor benchmarking, GEO audits, and even content briefs to bridge gaps. Perfect for marketers, SEOs, and agencies who want to ensure their brand gets cited in AI-generated answers.

Key features

1Tracks brand visibility across 7 AI engines (ChatGPT, Claude, Gemini, Perplexity, Copilot, Google AI Overviews, AI Mode)
2Runs 25 real buyer prompts per scan and calculates an AI Visibility Score (0-100)
3Provides actionable insights: GEO audits, schema suggestions, competitor benchmarking, and content briefs

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

In-house marketing & SEO teams at mid-to-large brands

Pain points

Fear of being invisible in AI search; no visibility into how ChatGPT or Gemini mentions their brand

Primary needs

Daily tracking of AI mentions, actionable fixes, and competitor benchmarking

Demographic

Digital marketing agencies managing multiple client brands

Pain points

Need a scalable way to monitor AI visibility across clients; clients are asking for AI performance reports

Primary needs

Multi-site dashboard, white-label reports, and a new service line to upsell

Demographic

Local & regional business owners

Pain points

Local competitors getting cited in AI answers; no clear path to get their brand into AI-generated recommendations

Primary needs

Quick, low-cost scan to understand local AI visibility and prioritized actions to get cited

Scout Review

Written by AI from measured evidence, scored out of 100.

Koalr is a well-designed, functional tool for a genuinely new problem: tracking brand visibility in AI answer engines. It offers a clear score, actionable insights, and a competitive price point. The main weaknesses are performance (slow LCP), basic security headers, and a few UX rough edges like the hero CTA. Accessibility is excellent on automated checks, but lacks formal documentation. Growth potential is solid, though competition looms. Overall, it's a promising product for marketers and agencies looking to stay ahead in AI search, but it needs to polish its speed and security to fully earn 'enterprise-grade' claims.

Measure by measure

Usability

Clear navigation and a well-structured pricing page with a 7-day trial. But the homepage's single-input CTA and dense tables without context make the path to value less obvious.

Design

Polished, consistent green-accented UI with strong visual hierarchy on metric cards. Weak hero CTA affordance and low-contrast pastel backgrounds hold it back from excellent.

Speed

Lighthouse mobile performance 69/100 with LCP 5.5s, which is slow. CLS of 0 and TBT of 139ms are good, but the initial render needs work.

Security

HTTPS and HSTS are enforced, and DMARC is set. But missing CSP, frame protection, and SPF, plus no SOC 2 or bug bounty, leaves the security posture basic.

Accessibility

Lighthouse accessibility score is a perfect 100/100 on automated checks. However, no WCAG statement, potential contrast issues with pastel backgrounds, and no multi-language support.

Growth

Real problem, clear differentiators, and a price point that undercuts incumbents. But the category is crowded, and the wedge may not be enough to outrun SEO giants.

Improvement areas

Optimize mobile performance to reduce LCP from 5.5s to under 2.5s
Strengthen security headers (CSP, frame protection, SPF) and consider SOC 2 compliance
Improve hero CTA affordance and address low-contrast pastel backgrounds for better accessibility

Design & Usability

Koalr presents a clean, modern interface with a consistent green accent that ties the brand together. The metric cards and tables are well-structured, making data scannable. However, the hero section's primary CTA is understated — a single input with no button — which could confuse first-time visitors. The dashboard preview is cropped awkwardly, and the pastel backgrounds reduce contrast. Usability is generally solid, with a clear sidebar and a well-laid-out pricing page, but the dense tables and lack of explanatory text on metrics may overwhelm new users. The 7-day free trial is a strong onboarding hook, though the card requirement might deter some.

Speed & Security

Performance is a mixed bag. The Lighthouse mobile score of 69/100 is mediocre, driven by a slow LCP of 5.5 seconds. This could frustrate users on slower connections. On the positive side, CLS is zero, ensuring no jarring layout shifts, and TBT is low, so interactions feel responsive once loaded. Security is basic but not alarming: HTTPS and HSTS are enforced, and DMARC is set, but the absence of CSP, frame protection, and SPF leaves room for improvement. There's no SOC 2 or bug bounty program, which might be a concern for enterprise buyers, but for a tool at this price point, it's acceptable.

Accessibility & Growth

Accessibility is a strong point, with a perfect Lighthouse score of 100/100 on automated checks. However, the lack of a WCAG conformance statement and potential contrast issues with the light pastel backgrounds are gaps. The site is English-only, limiting its global reach. Growth potential is promising: Koalr addresses a real, emerging need — brand visibility in AI answer engines. Its differentiators, like 25 real buyer prompts and a dedicated AI Visibility Score, are concrete. The pricing undercuts incumbents like Semrush, making it attractive for SMBs and agencies. However, the category is getting crowded, and established players could quickly add similar features, so the wedge may not be defensible long-term.

Conclusion

Koalr is worth a try, especially with the 7-day free trial. If you're a marketer or agency worried about being invisible in AI answers, it provides a clear, actionable starting point. Just be prepared for a slightly slow first load and a security setup that's more 'startup' than 'enterprise.' The koala mascot is a nice touch, though.

Suggestions for improvement

Add a visible 'Scan my site' button next to the hero input to improve CTA affordance.
Optimize LCP by preloading key assets or using a CDN to improve mobile performance.
Publish a WCAG conformance statement and address pastel background contrast issues.
Add SPF records and a Content Security Policy to strengthen the security posture.

How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

	Koalr	Brand24	Mention	Semrush	otterly.ai	peec.ai
AI Engine Tracking	Tracks 7 AI engines (ChatGPT, Claude, Gemini, Perplexity, Copilot, Google AI Overviews, AI Mode)	Tracks social media and web mentions, not AI-specific engines	Media monitoring, no AI engine-specific tracking	Comprehensive SEO suite, but no AI answer engine simulation	Not specified in details	Not specified in details
AI Visibility Score	Provides a 0-100 AI Visibility Score based on 25 real prompts	No AI-specific score; focuses on social mention volume	No AI Visibility Score; offers general media monitoring	No AI-specific score; uses traditional SEO metrics	Not specified in details	Not specified in details
Actionable Insights	Provides GEO audits, schema suggestions, and content briefs to improve visibility	Offers social listening insights, but not AI-specific optimization	Provides media monitoring alerts, no AI optimization guidance	Offers SEO recommendations, but not tailored to AI answer engines	Not specified in details	Not specified in details
Pricing Model	Starts at £79/mo with a 7-day free trial; all plans track all 7 engines daily	Starts at $49/mo, but lacks AI-specific features	Starts at $29/mo, but no AI engine tracking	Starts at $139.95/mo, more expensive and not AI-focused	Not specified in details	Not specified in details