New SEO Game: Rankings + AI Citations

Key Concepts:

• AI Search Visibility: Share of AI answers where a brand is named, cited, or recommended.
• Mentions: Brand appearing in the narrative of an AI answer.
• Citations: URL or source used by the LLM to generate answers.
• Generative Engine Optimization (GEO): Optimizing for AI platforms.
• LLM.txt: File providing explicit instructions to AI search engines.
• Schema: Structured data added to a website to help search engines understand content.
• Prompt Engineering: Crafting effective prompts for AI models.
• Sentiment Analysis: Determining the emotional tone of mentions.

1. Introduction and Overview

• Neil Patel, Nikki, and Louisa Muscoso introduce the new Uber Suggest features focused on AI search.
• NP Digital is a global agency, so the updates are designed to work in multiple languages.
• The Future of Marketing and AI Virtual Summit is announced (September 23-26, npdigital.com/summit).
• NP Digital's technology includes Uber Suggest, Answer the Public, and Scout.
• The updates aim to help businesses of all sizes succeed in AI SEO, especially on platforms like ChatGPT.

2. The Changing Landscape of Search

• Steve Jobs' vision of e-commerce as a direct-to-consumer channel is highlighted.
• E-commerce sales are projected to reach $6.8 trillion in 2024 and $10+ trillion in the coming years.
• SEO and organic traffic remain crucial, but the methods are evolving.
• Uber Suggest is updated to be relevant and affordable for tracking AI rankings.
• Clicks are down due to AI overviews, but impressions are becoming more accurate.
• Traditional SEO tools often charge extra for AI features, while Uber Suggest integrates them as standard.

3. The Evolution of Search

• 2000s: 10 blue links.
• Introduction of rich snippets and knowledge graphs: Example: Tom Cruise's information.
• 2020-2023: Zero-click searches, direct answers.
• 2023-Future: AI engines providing direct answers.
• Uber Suggest helps organizations adapt to this shift by tracking performance on AI platforms.
• The tool shows what prompts a brand ranks for and whether it's mentioned more than competitors.

4. Two Realities of Search

• Traditional search with AI overviews and blue links.
• AI-powered search with full-blown conversations (e.g., ChatGPT).
• The key is to be present on all platforms used by customers.
• Search has split into SEO, GEO, and social search (e.g., Instagram with 6.5 billion daily searches).
• Nearly two-thirds of purchase journeys start with a Google search.

5. The Attention Currency and Changing Rules

• There are 5 billion daily searches.
• The attention currency is being mentioned.
• Algorithms are continually tweaked.
• Results can be achieved quickly (e.g., clients getting into AI overviews within two days).

6. AI's Transformation of Search

• AI is transforming how search engines process queries and how users digest information.
• It's no longer just keyword matching; AI understands questions like a human.
• Answer engines are growing rapidly.
• Google's AI overviews take up significant space on page one.
• Uber Suggest's AI search visibility features help navigate this new era.

7. Defining AI Search Visibility

• AI search visibility is the share of AI answers where a brand is named, cited, or recommended.
• A mention is when a brand appears in the narrative.
• A citation is the URL or source used by the LLM.
• A recommendation is when the AI suggests a brand.

8. How AI Search Visibility Works

• Prompt Corpus: Creating and editing prompts tailored for a brand.
• Rendering in Cycles: Asking LLMs multiple times for accurate answers.
• Analysis: Brand recognition, disambiguation, citation analysis, hallucination flags.
• Scoring: Visibility share, mentions, industry rank, AI visibility percentage.

9. Scoring Model

• AI Visibility Share: (Number of answers where the brand is recommended) / (Total answers analyzed).
• Mentions: How many times a brand is mentioned in AI responses.
• Industry Rank: Positioning compared to competitors in AI-generated responses.
• AI Visibility: Percentage of responses where the brand appears.

10. Uber Suggest Features

• AI Visibility Tracker: Tracks brand rankings across major AI engines (starting with ChatGPT).
• Competitor Monitoring: Compares performance against competitors for specific prompts.
• Keyword Ideas: Includes more SERP features.
• Keyword Prompt Analysis (coming soon): Analyzes the most important prompts for a keyword.
• Citations: Shows the sources LLMs use to mention brands.

11. Prompt Strategy Framework

• Standardize prompts by intent.
• Provide consistent measurements.
• Offer actionable optimization tips.

12. Three Pillars of AI Search Dominance

• See: Gain visibility in AI engines, track citation sources.
• Predict: Get volatility alerts, identify important prompts.
• Win: Create citation-worthy content, optimize for AI readability, target mentions.

13. AI Search Visibility Suite

• AI Mentions: Track where your brand is mentioned.
• AI Recommendations: Monitor AI recommendations.
• AI Citations: Measure trusted content sources.

14. New SEO Playbook

• Account for both SEO and AI search.
• Create high-quality content, implement schema, distribute it, track visibility, and adapt.
• Technical SEO matters.
• Schema improves click-through rates and brand authority.
• LLM.txt files provide instructions to AI search engines.
• User-generated content and expert quotes are important.

15. Use Cases

• E-commerce: Track AI mentions for comparison queries, fill content gaps.
• B2B: Monitor competitor citations, create research-backed content, syndicate expert quotes.
• Marketing Managers: Connect AI visibility to business KPIs, tie it to CRM data.
• Service-Based Businesses: Local-optimized content, trust-building FAQs.
• Agencies: Use AI visibility data to win new business and retain clients.
• Freelancers/Entrepreneurs: Compete with bigger players using affordable AI visibility data.

16. Uber Suggest's Affordability

• Uber Suggest offers enterprise-level insights at 40-90% less than alternatives.
• Current SEO tools don't show the complete picture (AI citations, sentiment, etc.).

17. Upcoming Features

• Edit prompts during setup (releasing next Tuesday).
• Add a city for localized tracking.
• Manually add competitors.
• Add multiple topics.
• Compare different locations.
• Filter brands in the dashboard.
• Add more AI platforms (Gemini, Perplexity).

18. Summarizing the New SEO Playbook

• Monitor AI visibility.
• Compare to competitors.
• Optimize and measure impact.

19. Risks of Ignoring AI Search

• Diminishing visibility.
• Competitive disadvantage.
• Traditional SEO tools lack AI tracking.

20. Addressing Objections

• AI is changing too fast to measure: Uber Suggest provides volatility alerts.
• GEO tactics are black hat: Focus on quality content, schema, and legitimate citations.

21. Future Roadmap

• Deeper insights from new sources.
• Advanced prompt optimization.
• Predictive visibility and trend spotting.
• Sentiment analysis (coming to Answer the Public in mid-October, then Uber Suggest).

22. Case Studies and Key Takeaways

• Refi Jet case study: Capturing leads from ChatGPT.
• AI machines have memory; focus on improving over time.
• Focus on quality over quantity.
• Integrate first-party data.
• Focus on brand reputation.
• Structure content for AI.
• Use new metrics and tools (Uber Suggest's AI SERP tracking).

23. Call to Action

• Visit ubersuggest.com to run a visibility report.
• Sign up for a trial or use the free features.
• Book a strategy call with NP Digital (npdigital.com).
• Attend the virtual summit (npdigital.com/summit).

Conclusion:

The presentation emphasizes the importance of adapting to the evolving search landscape by incorporating AI search visibility into SEO strategies. Uber Suggest is positioned as an affordable and comprehensive tool to track AI mentions, citations, and recommendations, enabling businesses to stay competitive and informed in the age of AI-powered search. The key is to focus on quality content, structured data, brand reputation, and continuous monitoring and optimization.