How to Improve Your AI Ranking Score

If your AI ranking scores are lower than you would like, do not worry — there are concrete steps you can take to improve them. This guide breaks down improvement strategies for each of the three scores, from quick wins to long-term investments.

Improving AI Retrieval Likelihood

AI Retrieval Likelihood is the hardest score to improve because it requires AI models to associate your brand with your category strongly enough to recommend you. Here are the most effective strategies.

Build Category Authority

Create content that explicitly positions your brand within your target category. Publish comparison guides, category overviews, and use-case content that naturally associates your brand name with your category keywords. The more frequently your brand appears alongside your category terms across the web, the stronger the association in AI training data.

Earn Third-Party Recommendations

Get your brand mentioned in third-party recommendation content: industry roundup articles, expert reviews, comparison sites, and community discussions. When multiple independent sources recommend your brand for your category, AI models learn to do the same. Focus on authoritative sources — one mention in a respected industry publication outweighs dozens of low-quality directory listings.

Maintain Review Platform Presence

Ensure you have complete, active profiles on major review platforms relevant to your industry (G2, Capterra, TrustRadius, Trustpilot, etc.). These platforms are high-authority sources that AI models frequently reference when generating category recommendations.

Improving AI Answer Presence

AI Answer Presence measures whether AI models know your brand exists. Improving this score is about expanding your digital footprint.

Expand Your Online Footprint

Ensure your brand has a presence across diverse online platforms: your website, social media profiles, business directories, industry forums, press mentions, and community discussions. The broader your footprint, the more likely AI models are to have encountered your brand in their training data.

Create a Comprehensive About Page

Your website's About page is often the primary source AI models use to learn about your brand. Make it comprehensive, factual, and clearly structured. Include your founding story, what you do, who you serve, key metrics, and notable achievements. Write it in a clear, encyclopedic style that AI models can easily parse.

Pursue Press and Media Coverage

Press mentions in news outlets, industry publications, and blogs significantly boost your brand's presence in AI training data. Invest in PR, contribute expert commentary to journalists, and create newsworthy content that earns organic media coverage.

Improving AI Interpretation Quality

AI Interpretation Quality measures accuracy. If AI models know about you but describe you incorrectly, this is the score to focus on.

Ensure Brand Consistency

Audit every place your brand appears online and ensure the description is consistent and accurate. If your website says you are a 'cloud security platform' but your LinkedIn says 'cybersecurity consulting' and your Crunchbase says 'IT services,' AI models will be confused about what you actually do. Standardize your messaging everywhere.

Use Clear, Specific Language

Avoid vague marketing language on your website and profiles. Instead of 'We empower businesses to achieve more,' say 'We provide cloud-based project management software for teams of 10-500 people.' Specific, factual descriptions are easier for AI models to parse and reproduce accurately.

Correct Inaccurate Information

If you find inaccurate information about your brand on third-party sites, take steps to correct it. Update outdated directory listings, request corrections from publishers, and ensure your Wikipedia article (if you have one) is accurate and up to date. Inaccurate third-party information can directly cause AI models to misrepresent your business.

Timeline for Improvement

AI search optimization is not instant. AI models are retrained periodically, and changes to your online presence take time to propagate into AI training data. Expect to see initial improvements within 1-3 months for models with real-time retrieval (like ChatGPT with browsing), and 3-6 months for improvements in base model knowledge.

The key is consistency. Regular monitoring with HowDoIRankOnAI, combined with steady investment in content quality and brand authority, will compound over time into strong, durable AI visibility.