Thought Leadership 2025
Answer Engine
Optimization
Keyword Research
&
Selection
Master the strategic framework that transforms traditional SEO into
AI-first
visibility for CMOs, Marketing Executives, and Digital Leaders.
AI-First Strategy
Zero-Click Optimization
Enterprise Results
Keyword Research Reimagined
In 2025, keyword research has transformed from a
tactical SEO task into a strategic
pillar of digital visibility.
Search behaviors, technologies, and platforms have all evolved to the point where traditional keyword research — once focused only on volume, competition, and ranking positions — no longer guarantees visibility.
The Zero-Click Reality
The rise of answer engines like Google AI Overviews, Bing Copilot, ChatGPT Search, and Perplexity means users increasingly receive direct, AI-curated answers rather than a list of links to click. Over 70% of searches do not result in a website visit (SparkToro).
For businesses, this reality demands a new approach: Answer Engine Optimization (AEO). AEO ensures your brand is not just ranking on search engines, but is selected as the authoritative answer by AI-driven platforms. Keyword research is now about anticipating questions, structuring content for extraction, and aligning with user intent across conversational and entity-driven contexts.
Why AEO Keyword Research is Different from SEO
Traditional SEO keyword research falls short in an
AI-first search environment. Here's
what's changed.
Traditional SEO
-
Focus: Rankings and traffic
-
Format: Keywords and phrases
-
Goal: Clicks and page visits
-
Metrics: Traffic and CTR
Answer Engine Optimization
-
Focus: Answerability and AI visibility
-
Format: Conversational queries and entities
-
Goal: Citations and zero-click conversions
-
Metrics: Brand mentions and AI impressions
B2B CRM Software Example
Old approach: CRM software
AEO approach: What is CRM software? or Which CRM software is best for startups in 2025?
B2C Retail Example
Old approach: running shoes
AEO approach: Which running shoes are best for marathon beginners in 2025?
Core Principles of AEO Keyword Research
Four foundational principles that distinguish AEO from traditional keyword strategies.
1. Intent-first, not keyword-first
AEO begins with understanding what users want answered. Instead of chasing raw search volume, focus on identifying specific questions aligned with customer pain points or goals.
CRM Example: How does CRM software reduce churn in 2025?
Retail Example: What smartwatch has the best battery life under $200?
2. Entity-driven clusters
Search engines and AI models increasingly rely on entity recognition. Entities represent concepts, products, brands, and relationships.
CRM Entities: lead management, sales pipeline, automation
Retail Entities: cushioning, waterproof sneakers, heart rate tracking
3. Conversational phrasing
Users increasingly speak to AI assistants in natural language. Keyword strategies should adapt to long-tail, spoken queries.
CRM Example: Which CRM integrates with Gmail in 2025?
Retail Example: Where can I buy affordable running shoes under $100?
4. Cross-platform optimization
Each answer engine — Google AI Overviews, Bing Copilot, ChatGPT, Perplexity — processes queries differently. Keyword research must account for overlaps and unique behaviors.
Step-by-Step AEO Keyword Research Framework
A comprehensive 7-step process to master AEO keyword research in 2025.
Define Business Objectives
The first step in AEO keyword research is aligning with business goals. Executives and managers should establish whether the priority is brand awareness, lead generation, conversions, or retention.
CRM Example (B2B)
A mid-market CRM vendor may aim to be cited in AI overviews for queries like best affordable CRM for SMBs.
KPI: 30% increase in AI mentions within a quarter
Retail Example (B2C)
A sports retailer may aim to own AI citations for best budget running shoes 2025.
KPI: 15% increase in sales from AI-driven citations
Collect Question-Based Keywords
Traditional SEO starts with keyword lists, but AEO begins with questions. People are no longer typing CRM software into Google; they're asking What is the best CRM software for startups in 2025?
Best practices:
-
Use Google People Also Ask (PAA) to uncover common questions
-
Analyze Reddit, Quora, LinkedIn discussions for authentic phrasing
-
Collect sales and support FAQs from your own team
-
Use AnswerThePublic and AlsoAsked for semantic variations
Cluster Keywords by Intent
Not all queries serve the same purpose. Some users seek knowledge, others want comparisons, and some are ready to buy. Intent clustering ensures your keyword strategy maps to every stage of the funnel.
Informational
Define and explain (What, Why, How)
Commercial Investigation
Compare tools or products (Best, Top, Reviews)
Transactional
Target purchase-ready intent (Buy, Price, Deals)
Prioritize by Answerability
Not every keyword is worth targeting. In AEO, answerability matters more than volume. You want queries that can be answered directly, structured into content, and extracted by AI engines.
Best practices:
-
Choose queries that can be answered in 1–2 sentences
-
Check if AI already provides an overview — if not, it's an opportunity
-
Prioritize long-tail conversational queries
-
Apply schema markup (FAQ, How-To, Product)
Optimize for Entities & Context
Search engines and LLMs no longer just parse keywords — they build entity graphs. By associating your content with related entities, you increase topical authority.
Why it matters
If your brand only targets "CRM software" but ignores related terms like "pipeline automation" or "customer retention," AI engines won't consider you authoritative.
Best practices:
-
Use Google People Also Ask (PAA) to uncover common questions
-
Analyze Reddit, Quora, LinkedIn discussions for authentic phrasing
-
Collect sales and support FAQs from your own team
-
Use AnswerThePublic and AlsoAsked for semantic variations
CRM Example (B2B)
Core entity: CRM software
Related entities: lead scoring, sales pipeline, churn analysis, integration with email
Retail Example (B2C)
Core entity: running shoes
Related entities: cushioning, marathon training, waterproof, arch support
🔗 Tool Recommendation: Use SEMAI Content Topic Ideas for comprehensive entity mapping
Structure Content for AI Extraction
You can't just write content — you must design it for AI readability. AI engines like ChatGPT and Google SGE prefer content that is scannable and structured.
Best practices:
-
Place a 50-word direct answer at the top
-
Use FAQ schema
-
Include comparison tables, lists, and bullets
-
Keep sentences short and conversational
Continuous Monitoring
AEO keyword research is never done. AI models evolve rapidly, meaning you must audit and adapt regularly.
Best practices:
-
Track AI overview impressions
-
Monitor brand mentions in ChatGPT/Perplexity
-
Audit zero-click impressions in Google Search Console
-
Refresh content quarterly with updated stats/schema
Real-World Use Cases
See how leading companies have successfully implemented AEO keyword strategies.
B2B CRM Software Example
Challenge:
Competing with Salesforce & HubSpot
Strategy:
Target questions like Best CRM for SMBs under $50 per user in 2025
Result:
Startup CRM cited in ChatGPT, driving 25% more qualified leads
B2C Retail
Challenge:
Retailer competing with Nike & Adidas
Strategy:
Target Best marathon shoes 2025 under $150
Result:
Featured in Google AI Overviews, driving 18% higher conversions
Master AEO Keyword Research Today
The best AEO keyword research strategies combine intent-driven discovery,
entity clustering,
conversational phrasing, schema optimization, and
continuous monitoring.
CRM Companies
Use AEO to compete with industry giants
Retail Brands
Dominate product-specific, conversational queries