Free to Start, Built for Scale
Lapis has simple and transparent pricing that scales with your growth objectives.
Monthly
Yearly
Whats included:
GPT-5
LLMs.txt
Competitor Analysis and Keywords
Weekly Data Refresh
US Based Chat Support
Whats included:
GPT-5 and Claude
LLMs.txt
Custom Competitors and Keywords
Daily Date Refresh
US Based Priority Chat Support
Whats included:
GPT-5, Claude, Perplexity, and Gemini
Google AI Mode and AI Overview
Semrush Google Search Analytics
LLMs.txt and Compressor
Custom Competitors and Keywords
Daily Data Refresh
Lapis Agent
Slack with Founders
Whats included:
Lapis Supernova
Rank in AI search
SEMRush Pro
Dedicated SEO Partner
Custom Dashboards
SEO Agent
Brand Keyword Targeting
Weekly SEO Reports
Monthly
Yearly
Whats included:
GPT-5
LLMs.txt
Competitor Analysis and Keywords
Weekly Data Refresh
US Based Chat Support
Whats included:
GPT-5 and Claude
LLMs.txt
Custom Competitors and Keywords
Daily Date Refresh
US Based Priority Chat Support
Whats included:
GPT-5, Claude, Perplexity, and Gemini
Google AI Mode and AI Overview
Semrush Google Search Analytics
LLMs.txt and Compressor
Custom Competitors and Keywords
Daily Data Refresh
Lapis Agent
Slack with Founders
Whats included:
Lapis Supernova
Rank in AI search
SEMRush Pro
Dedicated SEO Partner
Custom Dashboards
SEO Agent
Brand Keyword Targeting
Weekly SEO Reports
Monthly
Yearly
Whats included:
GPT-5
LLMs.txt
Competitor Analysis and Keywords
Weekly Data Refresh
US Based Chat Support
Whats included:
GPT-5 and Claude
LLMs.txt
Custom Competitors and Keywords
Daily Date Refresh
US Based Priority Chat Support
Whats included:
GPT-5, Claude, Perplexity, and Gemini
Google AI Mode and AI Overview
Semrush Google Search Analytics
LLMs.txt and Compressor
Custom Competitors and Keywords
Daily Data Refresh
Lapis Agent
Slack with Founders
Whats included:
Lapis Supernova
Rank in AI search
SEMRush Pro
Dedicated SEO Partner
Custom Dashboards
SEO Agent
Brand Keyword Targeting
Weekly SEO Reports
Every Plan Includes the Best of Lapis
US Based Support
Get lightning fast support with direct context. No offshoring, maximum privacy and security.
Accurate Data
With Lapis, you get access to accurate and reliable data across all plans. No upsells.
The Best Research
Get fast access to the latest Insights, Google updates, new AI models, and research articles.
FAQs
FAQs
FAQs
Frequently Asked Questions
AEO (AI Engine Optimization) and GEO (Generative Engine Optimization) are terms used to refer to the practice of optimizing your digital content so that AI models like ChatGPT, Claude, and Gemini use your information as a source when answering user questions. Unlike SEO which focuses on ranking higher in blue link search results, AEO/GEO focuses on making your brand the cited authority within AI generated answers.
User behavior is shifting rapidly and people are turning to AI chatbots for answers rather than browsing through lists of links. If your brand isn't visible where AI models source their information from, you risk losing significant traffic, authority, and market share to competitors who are optimizing for this new internet.
In traditional search, ranking is linear (Position 1, 2, 3, etc.). In AI search, ranking is based on citation and prominence. Lapis analyzes AI generated responses to determine: 1. Citation Frequency: How often your brand is mentioned as a source. 2. Placement: How high up in the AI response your citation appears. 3. Sentiment: Whether the AI speaks positively, negatively, or neutrally about your brand. 4. Context: What context are you mentioned in?
In traditional SEO, you might track a simple keyword like "best CRM." However, users ask AI complex conversational questions like "What is the best CRM for a small real estate business that needs mobile access?" that needs more processing to simulate results for. Query Fanout is our process of taking your core topics and automatically generating hundreds of these realistic, conversational prompts. We then run these queries through various AI models to get a comprehensive view of your actual AI visibility.
It is true that AI responses have variability ("temperature" is one measure). Lapis accounts for this by running queries multiple times throughout the day. We don't just track a single response; we track the probability of your brand being mentioned over time and give a score reflecting how often you appear.
AEO and SEO are complementary. To rank well in AI, you need high-quality, authoritative, and clearly structured content, which are the same principles Google rewards in traditional SEO. Improving your AEO often leads to better SEO performance, and improving your SEO leads to better AEO performance.
AEO (AI Engine Optimization) and GEO (Generative Engine Optimization) are terms used to refer to the practice of optimizing your digital content so that AI models like ChatGPT, Claude, and Gemini use your information as a source when answering user questions. Unlike SEO which focuses on ranking higher in blue link search results, AEO/GEO focuses on making your brand the cited authority within AI generated answers.
User behavior is shifting rapidly and people are turning to AI chatbots for answers rather than browsing through lists of links. If your brand isn't visible where AI models source their information from, you risk losing significant traffic, authority, and market share to competitors who are optimizing for this new internet.
In traditional search, ranking is linear (Position 1, 2, 3, etc.). In AI search, ranking is based on citation and prominence. Lapis analyzes AI generated responses to determine: 1. Citation Frequency: How often your brand is mentioned as a source. 2. Placement: How high up in the AI response your citation appears. 3. Sentiment: Whether the AI speaks positively, negatively, or neutrally about your brand. 4. Context: What context are you mentioned in?
In traditional SEO, you might track a simple keyword like "best CRM." However, users ask AI complex conversational questions like "What is the best CRM for a small real estate business that needs mobile access?" that needs more processing to simulate results for. Query Fanout is our process of taking your core topics and automatically generating hundreds of these realistic, conversational prompts. We then run these queries through various AI models to get a comprehensive view of your actual AI visibility.
It is true that AI responses have variability ("temperature" is one measure). Lapis accounts for this by running queries multiple times throughout the day. We don't just track a single response; we track the probability of your brand being mentioned over time and give a score reflecting how often you appear.
AEO and SEO are complementary. To rank well in AI, you need high-quality, authoritative, and clearly structured content, which are the same principles Google rewards in traditional SEO. Improving your AEO often leads to better SEO performance, and improving your SEO leads to better AEO performance.
AEO (AI Engine Optimization) and GEO (Generative Engine Optimization) are terms used to refer to the practice of optimizing your digital content so that AI models like ChatGPT, Claude, and Gemini use your information as a source when answering user questions. Unlike SEO which focuses on ranking higher in blue link search results, AEO/GEO focuses on making your brand the cited authority within AI generated answers.
User behavior is shifting rapidly and people are turning to AI chatbots for answers rather than browsing through lists of links. If your brand isn't visible where AI models source their information from, you risk losing significant traffic, authority, and market share to competitors who are optimizing for this new internet.
In traditional search, ranking is linear (Position 1, 2, 3, etc.). In AI search, ranking is based on citation and prominence. Lapis analyzes AI generated responses to determine: 1. Citation Frequency: How often your brand is mentioned as a source. 2. Placement: How high up in the AI response your citation appears. 3. Sentiment: Whether the AI speaks positively, negatively, or neutrally about your brand. 4. Context: What context are you mentioned in?
In traditional SEO, you might track a simple keyword like "best CRM." However, users ask AI complex conversational questions like "What is the best CRM for a small real estate business that needs mobile access?" that needs more processing to simulate results for. Query Fanout is our process of taking your core topics and automatically generating hundreds of these realistic, conversational prompts. We then run these queries through various AI models to get a comprehensive view of your actual AI visibility.
It is true that AI responses have variability ("temperature" is one measure). Lapis accounts for this by running queries multiple times throughout the day. We don't just track a single response; we track the probability of your brand being mentioned over time and give a score reflecting how often you appear.
AEO and SEO are complementary. To rank well in AI, you need high-quality, authoritative, and clearly structured content, which are the same principles Google rewards in traditional SEO. Improving your AEO often leads to better SEO performance, and improving your SEO leads to better AEO performance.
