A complete toolkit
for AI Search visibility

Lapis gives you all the tools you need to understand, improve, and act on how AI sees your business—from analytics to compression, rankings, and automation agents.

Compressor

Analytics

Ranker

Lapis Agent

Compressor

Analytics

Ranker

Lapis Agent

Compressor

Analytics

Ranker

Lapis Agent

llms.txt

llms.txt

llms.txt

Compress your website for AI Agents

Turn your site into a clean, AI-readable file that fits in model context windows and helps them understand your business.

Connect to GitHub and Update in Real Time

machine view

machine view

machine view

Show different variations of your website to Agents

Show AI Agents a completely different website that changes dynamically based on what queries users are asking.

10 lines of Javascript

Analytics

Analytics

Analytics

Discover what, how, and where Agents interact on your site

Understand the queries users are asking, the buttons agents are clicking, and the actions Agents take after exiting your website.

Actionable Insights

Actionable Insights

Actionable Insights

Move beyond just seeing data. Act On It.

Ranker

Understand your brand’s AI search ranking and get keywords, phrases, and SEO suggestions to improve your AI mentions.

Track rankings across major AI models

Monitor keywords and visibility scores

Lapis Agent

Your personal AI teammate that updates, reports, and improves your site automatically so you can focus on growth.

Daily Slack reports and insights

Instant GitHub Pull Requests

SEO Insights

Get backlink suggestions, find top keywords, analyze traffic, and optimize for the right target audiences.

Straightforward SEO insights without the buzzwords

Connect with top SEO Agencies for keywords and backlinks

Analyze Blogs

Analyze blogs to find and repair AI generated content to prevent your domain from being blacklisted by Google.

Per-word AI detection and analysis

Evaluated against Google content guidelines

Integrations

Connects with all popular web frameworks, AI models, and tools

Integrations

Connects with all popular web frameworks, AI models, and tools

Integrations

Connects with all popular web frameworks, AI models, and tools

Use cases

Use cases

Use cases

Built for AI Native Teams

For Research Teams

Uncover insights from datasets and papers in seconds.

For Product Teams

Spot trends and prioritize with data-driven clarity.

For Strategy

Get clear summaries to guide faster decisions.

For Agencies

Streamline research and deliver sharper results.

FAQs

FAQs

FAQs

Frequently Asked Questions

What is AEO / GEO?
icon

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.

I already rank well on Google Search and have good SEO. Why do I need to track AI results?
icon

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.

How is ranking defined in AI Search?
icon

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?

How exactly does Lapis simulate user queries?
icon

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.

Don’t AI responses change every time you ask a question? How accurate are your results?
icon

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.

Will optimizing for AI hurt my traditional SEO efforts?
icon

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.

What is AEO / GEO?
icon

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.

I already rank well on Google Search and have good SEO. Why do I need to track AI results?
icon

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.

How is ranking defined in AI Search?
icon

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?

How exactly does Lapis simulate user queries?
icon

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.

Don’t AI responses change every time you ask a question? How accurate are your results?
icon

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.

Will optimizing for AI hurt my traditional SEO efforts?
icon

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.

What is AEO / GEO?
icon

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.

I already rank well on Google Search and have good SEO. Why do I need to track AI results?
icon

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.

How is ranking defined in AI Search?
icon

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?

How exactly does Lapis simulate user queries?
icon

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.

Don’t AI responses change every time you ask a question? How accurate are your results?
icon

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.

Will optimizing for AI hurt my traditional SEO efforts?
icon

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.

See where you
rank in AI Search

See where you
rank in AI Search

See where you
rank in AI Search