Best Practices
Proven strategies to improve your AI visibility
Overview
Improving your Share of AI Voice requires a combination of content strategy, technical optimization, and ongoing monitoring. This guide distills the most effective practices from successful XAUDIENT customers.
1. Quick Wins
Start with these high-impact, low-effort improvements:
Deploy llms.txt
Add an llms.txt file to your website root. This machine-readable file helps AI systems understand your brand accurately.
Impact: Improved accuracy in AI descriptions.
Add Structured Data
Implement Schema.org markup on key pages (Organization, Product, FAQ). AI systems use this structured data to build accurate brand representations.
Impact: Better context classification.
Claim Knowledge Panels
Ensure your Google Knowledge Panel, Wikipedia entry (if applicable), and Crunchbase profile are accurate and up-to-date.
Impact: AI often references these authoritative sources.
2. Content Strategy
AI systems learn from web content. Strategic content creation improves how AI perceives your brand:
Create Comparison Content
Publish thoughtful comparisons between your product and alternatives:
- Be honest about trade-offs — AI detects and penalizes bias
- Cover specific use cases where you excel
- Include pricing, features, and real customer scenarios
Answer Common Questions
Create content that directly answers questions AI users ask:
- Use your XAUDIENT query data to identify gaps
- Structure content with clear headings and bullet points
- Include FAQ sections with natural language questions
Publish Case Studies
Detailed customer success stories provide AI with concrete evidence:
- Include specific metrics and outcomes
- Name the industry and use case clearly
- Use customer quotes AI can reference
3. Technical Optimization
Optimize for AI Crawlers
Ensure AI search crawlers can access your content:
- • Allow the AI search crawlers in robots.txt: OAI-SearchBot (ChatGPT search), Claude-SearchBot, PerplexityBot and Googlebot
- • Keep Googlebot allowed: Brave Search does not crawl pages that Googlebot cannot crawl
- • Being indexed by Bing and Brave also helps; neither is required
- • Blocking training crawlers (GPTBot, ClaudeBot, Google-Extended) is your choice: it does not remove you from AI search
- • Ensure pages render without JavaScript when possible
- • Provide sitemaps for content discovery
Implement Correction Briefs
If AI frequently mischaracterizes your brand:
- • Create a disambiguation.txt file
- • Clearly state what your brand is NOT
- • Address common misconceptions directly
Build Knowledge Graphs
Help AI understand relationships:
- • Link your products to categories and use cases
- • Connect your brand to industry terms
- • Use consistent terminology across all content
4. What to Avoid
Keyword Stuffing
AI systems are sophisticated. Unnaturally repeating keywords hurts rather than helps. Write for humans; AI will understand.
Misleading Claims
Never inject false claims into content. AI systems cross-reference multiple sources, and inconsistencies damage credibility.
Blocking AI Crawlers
Some companies block AI crawlers hoping to protect content. This backfires — if AI can't read your site, it relies on third-party descriptions that may be inaccurate.
Ignoring Negative Tone
If AI has negative associations with your brand, don't ignore them. Investigate the source, address legitimate concerns publicly, and create corrective content.
5. Ongoing Monitoring
AI visibility requires continuous attention:
Weekly Audits
Run Prediction Audits weekly to track trends and catch problems early.
Competitor Tracking
Monitor competitor SAV changes. A sudden rise may indicate a campaign you should counter.
Query Expansion
Continuously add new queries based on customer feedback, market changes, and product updates.
6. Success Metrics
Track these KPIs to measure improvement:
Mention Rate Growth
Change in mention rate between Monitoring Cycles.
Position Improvement
Change in average position between Monitoring Cycles.
Tone Score
Average Tone across all mentions.
Reality check: AI visibility changes gradually. LLMs don't update in real-time.