What's great
Akii is a game-changer for anyone navigating the shift from traditional SEO to AI Engine Optimization (AEO). As I build my own brand, I need to know if AI assistants are actually citing and recommending my work. Features like Competitor Intelligence and the Website Optimizer provide a clear roadmap to fix visibility gaps that traditional search tools completely miss. It turns the black box of AI recommendations into actionable insights.
What needs improvement
I'd like to see more depth in industry benchmarking. While the current visibility scores are great, seeing a more granular comparison against industry-specific leaders directly in the dashboard would be helpful. Additionally, increasing the integration depth with other marketing suites would help make Akii a one-stop shop for brand visibility.
vs Alternatives
I looked at traditional SEO tools like Semrush and Ahrefs, which are great for keyword research and backlinks, but they don't show you what a user sees inside a ChatGPT or Perplexity response. Akii is the only platform I’ve found that uses live AI model testing (not simulations) to give a true picture of brand presence in the AI-first search era.
Do results differ for subpages versus just the homepage?
Yes, the scope is comprehensive. Akii doesn't just look at the homepage; it analyzes how AI models interpret your entire content ecosystem. This is crucial because AI often pulls specific details from subpages or blog posts to answer complex user queries, and Akii tracks that depth effectively.
How often should I rescan to track improvements?
I recommend rescanning at least once a month or immediately after any major content updates. Since AI models frequently update their knowledge bases and training data, regular scans are necessary to ensure your visibility score accurately reflects your current standing.
Is the tool compliant with GDPR and other regions?
From a user perspective, the platform is very transparent about data handling. It focuses on analyzing publicly available AI search results rather than harvesting private user data, which aligns well with the standard GDPR and regional privacy requirements expected from professional-grade intelligence tools.