Keywords And Prompts: The New Playbook for Rankings and Citations

Key Concepts

Answer Engines: AI-powered platforms like ChatGPT, Perplexity, etc., that provide direct answers to user queries.
AI Overviews: Google's feature that provides AI-generated summaries at the top of search results.
Intent: The underlying reason or goal behind a user's search query.
Sentiment: The emotional tone or feeling expressed by users in their search queries or discussions.
Prompt Engineering: The art and science of crafting effective prompts for AI models to elicit desired responses.
Entity Optimization: Optimizing content to clearly define and link related concepts (entities) for better AI understanding.
Long-tail Queries: Specific, multi-word search phrases that indicate a more focused user intent.
Search Everywhere Optimization: A strategy that encompasses optimizing for traditional search, AI models, social media, and shopping platforms.

New Playbook for Ranking and Citations: Keyword and Prompts

This presentation introduces the revamped Answer the Public (ATP) platform, designed to address the evolving search landscape driven by AI and answer engines. The core message is that traditional SEO metrics like search volume are no longer sufficient. The new approach emphasizes understanding user intent and sentiment to create content that resonates with both search engines and AI models.

The Problem with Traditional Search Metrics

Search Volume Limitations: While indicating the number of people asking a question, search volume fails to reveal who they are, what they truly want, or how they feel. This can lead to misaligned content strategies and missed opportunities.
AI's Impact: Answer engines and AI overviews are increasingly providing direct answers, reducing the need for users to click through to websites. This shifts the focus from pure traffic generation to brand visibility and credibility within AI responses.

The Solution: Intent and Sentiment

Intent: Understanding why someone is searching allows for mapping the right content, calls to action, and user journeys.
Sentiment: Analyzing how people feel about a topic or brand helps in crafting more appealing and empathetic copy.
Combined Power: Integrating intent and sentiment provides a comprehensive understanding of user needs, enabling more effective content strategies.

Introducing the New Answer the Public (ATP)

The redesigned ATP platform aims to provide a unified view across multiple search universes:

Unified Search Interface: A single search bar for AI models, search engines, social media, and shopping.
Integrated Data: Combines information from Google, Bing, YouTube, Instagram, TikTok, and Amazon.
AI Models Dashboard: Focuses on ChatGPT prompts, including search volume, CPC, intent, and sentiment.
Intent-Driven Wheels: Prompts are categorized by intent, allowing for targeted analysis.
Sentiment Filter: Enables users to see the positive, negative, or neutral sentiment associated with prompts.
Prompt Analysis: Detailed drill-down into prompts, revealing full context, brands mentioned, sentiment towards brands, and citations.
Multi-Channel Strategy Tool: Facilitates the creation of integrated marketing strategies across various platforms.

Key Features and Functionality:

Single Wheel Interface: Replaces multiple wheels with one expandable wheel for faster scanning of demand across categories.
Drill-Down Capability: Users can click into categories (e.g., Search Engines, Social, Shopping, AI Models) to expand and explore further.
AI Dashboard Details:
- Main Keyword, Language, Location: Input fields for targeted research.
- Prompts: Lists prompts most likely to be searched in ChatGPT.
- Intent Categorization: Prompts are grouped by user intent.
- Sentiment Filter: Allows filtering by positive, negative, or neutral sentiment.
- Prompt Analysis Drawer:
  - Full Context: Complete ChatGPT answers.
  - Brands Mentioned: Brands referenced in the AI response.
  - Sentiment: How brands are discussed (positive/negative).
  - Citations: Sources used by ChatGPT.
User Feedback Loop: A "thumbs up/thumbs down" feature helps train AI algorithms for better prompt suggestions.
Project Management: Ability to move keywords to projects for saving and sharing.
Legacy Version Access: Users can switch back to the previous ATP version during the transition.

Use Cases for the New ATP

The platform offers diverse applications for various roles:

Agencies:
- Upselling and New Business: Identify client gaps, map demand, and propose AI audience intelligence or reputation monitoring services.
- Strategy Development: Map top questions, analyze brand mentions, and identify missing content opportunities (e.g., comparison pages, feature pages).
- Deepen Retainers: Offer new revenue streams through AI-driven insights.
E-commerce:
- Pre-Purchase Engagement: Filter by commercial intent (e.g., "kitchen knives") to target shoppers close to purchase.
- Visibility Gap Analysis: Identify competitors cited in AI answers where your brand is absent.
- Content Optimization: Inform comparison guides, review content, structured data, and FAQs for AI overview visibility.
B2B:
- Targeted Lead Generation: Filter by commercial intent (e.g., "project management software") to reach comparison-stage prospects.
- Blind Spot Identification: Discover competitors mentioned in comparisons where your brand is missing.
- Content and Landing Page Strategy: Develop comparison pages, product/demo landing pages, and explainer videos.
Entrepreneurs/Solo Creators:
- Data-Driven Content Planning: Identify real user questions and pain points (e.g., "investing for beginners," "ETF vs. index funds").
- Topic Validation: Validate keywords and topics across search engines and social media.
- Product Development: Create comprehensive guides, video content, or even mini-courses based on identified needs.
Digital PR:
- Trend Identification: Discover emerging topics and concerns (e.g., "data privacy") with informational intent.
- Proactive Storytelling: Identify forward-thinking AI prompts and trends to create timely reports and pitches.
- Pitchable Content: Develop content that journalists will find valuable and trending.

Roadmap and Future Developments

Deeper Sentiment Analysis: More granular analysis of sentiment for specific brands mentioned in AI responses.
Exportable Data: Ability to export data from all categories and platforms for reporting and analysis.
Revamped Social and Shopping Categories: Enhanced data quality and engagement for YouTube, Instagram, TikTok, and other shopping platforms.
Reddit Integration: Adding Reddit data as a highly requested feature.
Multi-Answer View: Planned feature for displaying multiple answers per prompt.
AI Add-on for Lifetime Users: Special offers for existing lifetime members to access AI data.

NP Digital Case Study: Refi Jet

Client: Refi Jet (auto loan refinancing)
Challenge: Highly competitive market, big banks, and the rise of AI overviews and LLMs.
Strategy:
- Long-tail Approach: Focused on answering diverse, long-tail questions rather than just high-volume "head terms."
- AI Overview & LLM Focus: Leveraged ATP to understand user questions critical for AI visibility.
- Website Optimization: Tailored content to specific user queries and contexts.
- First-Party Data Integration: Utilized proprietary client data.
Results:
- SER Features: 13,814 new SER features.
- AI Overview Results: 30,800% increase.
- Top 3 Google Rankings: Increased by 522%.
- Organic Traffic: Increased by 138%.
- LLM Traffic (ChatGPT): Increased by 2,012%.
- Blog Views from LLM: Increased by 7,450%.
- Funded Loans: 178% increase.

Key Takeaways for the New Era of Search

Shift KPIs: Move from clicks to awareness, focusing on positive sentiment and brand mentions over just backlinks.
Prioritize Mentions: While backlinks are still valuable, mentions in AI and trusted sources are increasingly important.
Earn Visibility: Focus on reviews and the frequency of new reviews to demonstrate ongoing brand relevance.
Credibility and Reputation: AI models prioritize credibility. Showcase awards, case studies, and positive results.
Topic-Centric Approach: Move beyond keywords to thoroughly cover overarching topics.
Leverage ATP: Utilize Answer the Public for keyword research, content ideation, and understanding user needs across platforms.

Pricing and Free Trial Information

Webinar Offer: $11 for 5,000 monthly prompts (upgrade from 1,000).
Paid Plans: $99/month (5,000 prompts), $199/month (10,000 prompts).
Free Trial: 7-day free trial, cancel anytime.
Free Version: Available with limited searches and data, but includes data for LLMs, traditional search, social, and shopping.
Lifetime Users: Have access to all current features, with future AI add-ons planned.

ATP vs. Uber Suggest

Answer the Public (ATP):
- Focus: Keyword research, idea generation, topic exploration across multiple platforms (AI, search, social, shopping).
- Use Case: Discovering new content opportunities, understanding broad user queries.
- Ideal For: Entrepreneurs, content creators, those exploring new business ideas.
Uber Suggest:
- Focus: Analyzing your specific domain, brand, competitors, and existing keywords.
- Use Case: Tracking performance, understanding competitive landscape, optimizing existing content.
- Ideal For: Established businesses, SEO professionals monitoring their own performance.

Balancing Traditional SEO and Prompt Optimization

Traditional SEO is Still Crucial: It forms the foundation for your overall strategy.
Expand Beyond Search Volume: Incorporate intent and sentiment analysis.
Holistic Approach: Consider the entire user journey and the myriad of questions they might ask.
Audience Focus: Prioritize understanding and meeting audience needs.
Long-Tail Content: Optimize for specific, detailed queries.

Informational Content and Traffic Generation

Shift from Clicks to Conversions: While traffic might decrease, conversion rates from AI traffic can be significantly higher (averaging around 9% in a study).
Brand Awareness is Key: SEO is evolving to include brand awareness alongside traffic. AI provides answers directly, reducing clicks but increasing brand visibility within responses.
Value Proposition: Focus on providing comprehensive answers that build credibility and drive higher-quality leads.

Intralinking and LLM Visibility

Entity Optimization: Internal linking helps build signals about related entities, crucial for AI understanding.
Schema Markup: Enhances LLM visibility by providing structured data.
Authoritative Citations: Linking to reputable off-site content also strengthens entity recognition.
Cross-Platform Linking: Linking from social media can also play a role.

Roadmap Timelines

2025: Deeper sentiment analysis, initial improvements to TikTok, Instagram, and YouTube data.
2026: Full revamp of YouTube, Instagram, and TikTok, plus new shopping sources.

Training and Resources

ATP/Uber Suggest Blogs: Detailed articles on using the tools.
In-Product Onboarding: Guided tours for new features.
Embedded Videos: Tutorials within the platforms.
Feedback Submission: Users can influence the product roadmap by submitting feedback.