Turn Search Traffic
Into Site Traffic
Appear at the top of search engines and AI channels for keywords relevant to your business. We increase the visibility of businesses by placing them where their customers are searching for them. Start turning search traffic into site traffic & revenue today.
Successful search marketing is methodical. Success must be defined, with the KPIs necessary to determine success measured. Optimizations must be fundamentals-focused, rooted in best practices derived from platform documentation. Work must be system-oriented, with deliverables executed systematically according to proven processes. Improvements must be iterative and driven by data. There are no shortcuts. Our service programs have been refined over more than 90,000 hours spent delivering results to 300+ clients in virtually every industry, from small brick-and-mortar businesses to publicly traded corporations.
Systems
We drive positive results delivered consistently, fueled by defined systems & processes developed over more than a decade delivering services to hundreds of clients.
Expertise
We're driven by a relentless pursuit of mastery. Our service programs employ a fundamentals-first philosophy to ensure all efforts align to current best practices.
Ethic
A committed team passionate about search marketing spread across 4 time zones offering always-on client support. We work smarter, harder, & longer than the competition.
People
Our team is built with specialists, not generalists. Every member brings deep domain expertise in their craft, ensuring your campaigns are managed by people who live and breathe their discipline.
OUR PROGRAMS
Digital Marketing Services
5 programs engineered according to platform best practices that deliver 1 thing - higher visibility for the keywords relevant to you, on the platforms users search them.
CASE STUDIES
Success, Delivered
There are no shortcuts. We've expended tens of thousands of hours mastering our craft, servicing hundreds of clients across virtually every industry in 10+ countries. The result is predictable success, delivered via systems perfected from experience.
∞
1st Page Keyword Growth
$15M
Revenue
Starting Keywords
0
Current Keywords
2,640
Organic Users
1.4M
519%
Return on Ad Spend
$1.84M
Revenue
Purchases
22,500
Cost
$355K
493%
Citation Growth
349%
Impression Growth
Daily Citations
14 → 82
Daily Impressions
76K → 341K
629%
1st Page Keyword Growth
$15M
Revenue
Starting Keywords
362
Current Keywords
2,640
Organic Users
1.4M
1,122%
Return on Ad Spend
$82.2M
Revenue
Purchases
430,000
Cost
$7.32M
142%
Citation Growth
60%
Impression Growth
Daily Citations
191 → 462
Daily Impressions
4.6M → 7.4M
Daily Mentions
6.6K → 13.9K
4,981%
1st Page Keyword Growth
$534K
Revenue
Starting Keywords
11
Current Keywords
559
Organic Users
427K
1,954%
Return on Ad Spend
$9.39M
Revenue
Purchases
51,300
Cost
$481K
95%
1st Page Keyword Growth
$21.4M
Revenue
Starting Keywords
1,857
Current Keywords
3,620
Organic Users
770K
2,747%
Return on Ad Spend
$2.82M
Revenue
Purchases
1,260
Cost
$103K
380%
Return on Ad Spend
$50.6M
Revenue
Purchases
490,000
Cost
$13.4M
1,038%
Return on Ad Spend
$3.92M
Revenue
Purchases
35,000
Cost
$378K
436%
Return on Ad Spend
$4.58M
Revenue
Purchases
19,400
Cost
$1.05M
572%
Return on Ad Spend
$23.8M
Revenue
Purchases
338,000
Cost
$4.16M
∞
1st Page Keyword Growth
$15M
Revenue
Starting Keywords
0
Current Keywords
2,640
Organic Users
1.4M
519%
Return on Ad Spend
$1.84M
Revenue
Purchases
22,500
Cost
$355K
493%
Citation Growth
349%
Impression Growth
Daily Citations
14 → 82
Daily Impressions
76K → 341K
629%
1st Page Keyword Growth
$15M
Revenue
Starting Keywords
362
Current Keywords
2,640
Organic Users
1.4M
1,122%
Return on Ad Spend
$82.2M
Revenue
Purchases
430,000
Cost
$7.32M
142%
Citation Growth
60%
Impression Growth
Daily Citations
191 → 462
Daily Impressions
4.6M → 7.4M
Daily Mentions
6.6K → 13.9K
4,981%
1st Page Keyword Growth
$534K
Revenue
Starting Keywords
11
Current Keywords
559
Organic Users
427K
1,954%
Return on Ad Spend
$9.39M
Revenue
Purchases
51,300
Cost
$481K
95%
1st Page Keyword Growth
$21.4M
Revenue
Starting Keywords
1,857
Current Keywords
3,620
Organic Users
770K
2,747%
Return on Ad Spend
$2.82M
Revenue
Purchases
1,260
Cost
$103K
380%
Return on Ad Spend
$50.6M
Revenue
Purchases
490,000
Cost
$13.4M
1,038%
Return on Ad Spend
$3.92M
Revenue
Purchases
35,000
Cost
$378K
436%
Return on Ad Spend
$4.58M
Revenue
Purchases
19,400
Cost
$1.05M
572%
Return on Ad Spend
$23.8M
Revenue
Purchases
338,000
Cost
$4.16M
OUR PROCESS
How We Build Your Program
We start by identifying the keywords most relevant to your business. This process is called keyword research and it’s the genesis of all search marketing. The product of the keyword research process is your Keyword Planner — an exhaustive list of all the keywords relevant to you categorized by search volume, difficulty, and more. We then take this list and condense it into your Priority Keywords — the keywords most relevant to you that you consider most important to rank for.
Now that we know your priority keywords we must determine which platforms on which visibility for these keywords will be most important. This is a consultive and collaborative process, with us recommending platforms based on our expertise and understanding of your customer’s search behavior.
With your priority keywords and platforms determined, the next step is identifying patterns in Search Results Page (SRP) features shown when searching your priority keywords on your priority platforms. Different keywords produce different SRP features. For example, any geo-specific search (ex. “Near me”) typically produces the Places map results feature at the top of the page. Any informational-intent search (ex. “how,” “what,” “when,” etc.) almost always produces the AI Overview (AIO), People Also Ask (PAA), and/or the video packs. Any transactional-intent search typically results in the sponsored product carousel and the free product listing grid being displayed at the top of results pages. Different features require different optimizations to generate visibility. By understanding the features most commonly shown, we’ll have a better understanding of what we must do.
Success in search marketing is reverse engineered. Businesses already rank at the top of search engines and are most frequently cited on AI channels for your priority keywords. By definition, this means they’ve optimized their site to the point these platforms expect to receive the greatest share of clicks.
There are patterns in the type of content that search engines and AI channels reward with high visibility for keywords, just like there are patterns in the result page features displayed when these keywords are searched. We identify the content receiving the most traffic for your priority keywords and analyze it to identify commonalities in topics, structure, authority, etc. Referencing this analysis, we build a content plan focused on your priority keywords that seeks to replicate what the elements your priority platforms reward most.
With your keywords researched, platforms determined, SRP features mapped, competitors analyzed, and content plan built, we now have everything we need to launch your search marketing program. This is where strategy becomes execution. We implement the technical optimizations, publish the content, configure the campaigns, and ensure your digital assets are structured in a way that search engines and AI channels can crawl, understand, and surface. Every action taken in this phase is rooted in the findings from the previous five steps — nothing is arbitrary, nothing is assumed.
Search marketing is not a launch-and-leave discipline. Search engines update their algorithms, AI channels evolve how they source and cite information, competitors adjust their strategies, and consumer search behavior shifts. We continuously monitor your visibility across your priority platforms, measure performance against your priority keywords, and identify what’s working and what isn’t. When we see opportunities we act on them. When we see declines we diagnose them. This cycle of optimization, observation, and adjustment is what separates sustained visibility from temporary rankings.
GET STARTED
Book a Free
Snap Audit
Schedule a 30-minute screen share with us. We'll walk you through an audit of your site, showing you specific things you can do yourself to increase your visibility and some things you may require the expertise of an agency to implement.
Frequently
Asked Questions
INSIGHT
The Signal
Actionable insights for increasing visibility on search engines and AI channels learned over the course of a decade delivering search marketing services to 300+ Clients. We've figured out what works and what doesn't when it comes to optimizing for ranking signals so you can spend less time and money doing the same.

Author Authority and Byline Optimization: How LLMs Evaluate Who Wrote Your Content
LLMs evaluate author credentials when deciding which content to cite. Learn how to optimize bylines and build author authority for AI search.

How to Use Ahrefs Brand Radar to Monitor Your AI Visibility
Ahrefs Brand Radar tracks your brand mentions across AI search engines. Learn how to set it up, read the data, and use it to guide your GEO strategy.

Building GEO-Ready Landing Pages: Structure, Schema, and Copy That Gets Cited
GEO-ready landing pages need the right structure, schema, and copy to earn AI citations. Learn how to build pages that LLMs actually reference.

sameAs, KnowledgePanel, and Entity Linking: Connecting Your Brand Across the Web for AI
SameAs, Knowledge Panel, and entity linking connect your brand across the web for AI. Learn how to build these signals so AI engines recognize you.

How to Build an llms-full.txt File for Maximum AI Context Coverage
An llms-full.txt file gives AI crawlers deep context about your site. Learn how to build one that maximizes your visibility across AI search engines.

AI Crawler Log Analysis: Which Bots Are Hitting Your Site and What They're Indexing
AI crawlers from OpenAI, Anthropic, and others pull your content daily. Learn how to analyze server logs and control AI bot access to your site.

GEO for Healthcare and YMYL Sites: Trust Signals AI Engines Prioritize
Healthcare and YMYL sites face higher trust thresholds in AI search. Learn which trust signals AI engines prioritize and how to strengthen yours.

How Reddit, YouTube, and Wikipedia Dominate AI Citations - And How to Leverage Them
Reddit, YouTube, and Wikipedia appear in AI citations far more than other sources. Learn why these platforms dominate LLM results and how to benefit.

Prompt Volumes: How to Discover What Your Customers Are Actually Asking LLMs
Customers ask LLMs questions about your industry daily. Learn how to discover prompt volumes, analyze intent, and create content that gets cited.

GEO for Local Businesses: How to Get Recommended by AI in Your Market
Local businesses need AI engines to recommend them for nearby searches. Learn how to optimize your presence for AI-powered local recommendations.

The Difference Between AI Training and AI Retrieval - And Why It Matters for Your robots.txt
AI training and retrieval access your content in different ways. Learn why this distinction matters for your robots.txt and your content strategy.

How to Create a Brand Knowledge Graph That LLMs Can Understand
A brand knowledge graph helps LLMs understand your business as an entity. Learn how to build one with structured data, citations, and schema markup.

AI Overviews vs. Featured Snippets: What Gets Pulled, What Gets Replaced
AI Overviews and featured snippets serve different purposes in Google. Learn which content gets pulled, what gets replaced, and how to adapt.

GEO for DTC Brands: From Product Pages to AI Recommendation Engines
DTC brands need AI engines to recommend their products, not just index them. Learn how to optimize product pages for AI shopping recommendations.

What Happens When Lorelight Shuts Down: Lessons on the GEO Hype Cycle
Lorelight's shutdown reveals lessons about GEO vendor risk. Learn what went wrong and how to build an AI search strategy without single failure points

First-Party Data in PPC: Why It's the Foundation of AI-Powered Advertising
First-party data powers every major AI-driven bidding and targeting feature in Google Ads. Learn why it matters and how to build your foundation.

Google Tag Gateway vs. Standard Tags: Why Google Wants You to Upgrade
Google Tag Gateway routes measurement data through your own domain for better accuracy. Learn how it compares to standard tags and whether to upgrade.

YouTube Ads in 2026: Shoppable CTV, Non-Skip Formats, and Creator-Brand Matching
YouTube Ads in 2026 adds shoppable CTV, non-skip formats, and creator-brand matching. Learn how to use these new ad tools for better campaign results.

ChatGPT Ads Are Coming: What OpenAI's Ad Tests Mean for Paid Media Strategy
OpenAI is testing ads inside ChatGPT responses. Learn what this means for paid media, how the ad format works, and how to prepare your brand.

How to Structure Google Ads for an E-Commerce Store: Campaigns, Ad Groups, and Budgets
Structuring Google Ads for e-commerce requires a clear campaign hierarchy. Learn how to organize campaigns, ad groups, budget, and scale your results.

Exact Match Doesn't Work in AI Overviews: How Match Types Are Changing in 2026
Exact match keywords don't trigger AI Overviews like traditional results. Learn how match types are evolving for AI-powered search in 2026.

Google Demand Gen Campaigns: How to Use Video and Shopping Ads Together
Demand Gen campaigns combine video and Shopping ads across YouTube, Discover, and Gmail. Learn how to set them up and when to choose them over PMax.

How to Write Google Ads Copy That Converts: A Framework for Headlines and Descriptions
Great Google Ads copy combines clear value props with strong CTAs. Learn a proven framework for writing headlines and descriptions that convert.

Google Ads Quality Score in 2026: What Still Matters and How to Improve It
Quality Score still affects CPC and ad rank in 2026. Learn which components matter most, what changed with AI bidding, and how to improve your score.

How to Diagnose a Google Ads Performance Drop: A Structured Troubleshooting Process
When Google Ads performance drops suddenly, you need a structured process to find the cause. Use this troubleshooting framework to diagnose issues.

Where to Spend Your Ad Budget in 2026: Comparing 10 Major Paid Media Platforms
Choosing the right ad platforms in 2026 means comparing Google, Meta, Amazon, TikTok, and more. See how 10 major paid channels compare for your goals.

Microsoft Ads in 2026: Copilot Integration, Publisher Marketplace, and What's New
Microsoft Ads in 2026 adds Copilot integration and an expanded publisher marketplace. Learn what's new and how to leverage these features effectively.

Amazon Ads for E-Commerce Brands: When to Invest Beyond Google Shopping
Amazon Ads offers different intent signals than Google Shopping. Learn when e-commerce brands should invest in Amazon and how to structure campaigns.

Apple Search Ads: New Inventory, New Placements, and What It Means for App Marketers
Apple Search Ads added new inventory across the App Store and Maps. Learn about the latest placements and what they mean for app marketers.

PPC Reporting for Clients: How to Present ROAS, CPA, and Attribution Clearly
PPC reporting should clarify performance, not confuse clients. Learn how to present ROAS, CPA, and attribution data in reports clients actually use.

Author Authority and Byline Optimization: How LLMs Evaluate Who Wrote Your Content
LLMs evaluate author credentials when deciding which content to cite. Learn how to optimize bylines and build author authority for AI search.

How to Use Ahrefs Brand Radar to Monitor Your AI Visibility
Ahrefs Brand Radar tracks your brand mentions across AI search engines. Learn how to set it up, read the data, and use it to guide your GEO strategy.

Building GEO-Ready Landing Pages: Structure, Schema, and Copy That Gets Cited
GEO-ready landing pages need the right structure, schema, and copy to earn AI citations. Learn how to build pages that LLMs actually reference.

sameAs, KnowledgePanel, and Entity Linking: Connecting Your Brand Across the Web for AI
SameAs, Knowledge Panel, and entity linking connect your brand across the web for AI. Learn how to build these signals so AI engines recognize you.

How to Build an llms-full.txt File for Maximum AI Context Coverage
An llms-full.txt file gives AI crawlers deep context about your site. Learn how to build one that maximizes your visibility across AI search engines.

AI Crawler Log Analysis: Which Bots Are Hitting Your Site and What They're Indexing
AI crawlers from OpenAI, Anthropic, and others pull your content daily. Learn how to analyze server logs and control AI bot access to your site.

GEO for Healthcare and YMYL Sites: Trust Signals AI Engines Prioritize
Healthcare and YMYL sites face higher trust thresholds in AI search. Learn which trust signals AI engines prioritize and how to strengthen yours.

How Reddit, YouTube, and Wikipedia Dominate AI Citations - And How to Leverage Them
Reddit, YouTube, and Wikipedia appear in AI citations far more than other sources. Learn why these platforms dominate LLM results and how to benefit.

Prompt Volumes: How to Discover What Your Customers Are Actually Asking LLMs
Customers ask LLMs questions about your industry daily. Learn how to discover prompt volumes, analyze intent, and create content that gets cited.

GEO for Local Businesses: How to Get Recommended by AI in Your Market
Local businesses need AI engines to recommend them for nearby searches. Learn how to optimize your presence for AI-powered local recommendations.

The Difference Between AI Training and AI Retrieval - And Why It Matters for Your robots.txt
AI training and retrieval access your content in different ways. Learn why this distinction matters for your robots.txt and your content strategy.

How to Create a Brand Knowledge Graph That LLMs Can Understand
A brand knowledge graph helps LLMs understand your business as an entity. Learn how to build one with structured data, citations, and schema markup.

AI Overviews vs. Featured Snippets: What Gets Pulled, What Gets Replaced
AI Overviews and featured snippets serve different purposes in Google. Learn which content gets pulled, what gets replaced, and how to adapt.

GEO for DTC Brands: From Product Pages to AI Recommendation Engines
DTC brands need AI engines to recommend their products, not just index them. Learn how to optimize product pages for AI shopping recommendations.

What Happens When Lorelight Shuts Down: Lessons on the GEO Hype Cycle
Lorelight's shutdown reveals lessons about GEO vendor risk. Learn what went wrong and how to build an AI search strategy without single failure points

First-Party Data in PPC: Why It's the Foundation of AI-Powered Advertising
First-party data powers every major AI-driven bidding and targeting feature in Google Ads. Learn why it matters and how to build your foundation.

Google Tag Gateway vs. Standard Tags: Why Google Wants You to Upgrade
Google Tag Gateway routes measurement data through your own domain for better accuracy. Learn how it compares to standard tags and whether to upgrade.

YouTube Ads in 2026: Shoppable CTV, Non-Skip Formats, and Creator-Brand Matching
YouTube Ads in 2026 adds shoppable CTV, non-skip formats, and creator-brand matching. Learn how to use these new ad tools for better campaign results.

ChatGPT Ads Are Coming: What OpenAI's Ad Tests Mean for Paid Media Strategy
OpenAI is testing ads inside ChatGPT responses. Learn what this means for paid media, how the ad format works, and how to prepare your brand.

How to Structure Google Ads for an E-Commerce Store: Campaigns, Ad Groups, and Budgets
Structuring Google Ads for e-commerce requires a clear campaign hierarchy. Learn how to organize campaigns, ad groups, budget, and scale your results.

Exact Match Doesn't Work in AI Overviews: How Match Types Are Changing in 2026
Exact match keywords don't trigger AI Overviews like traditional results. Learn how match types are evolving for AI-powered search in 2026.

Google Demand Gen Campaigns: How to Use Video and Shopping Ads Together
Demand Gen campaigns combine video and Shopping ads across YouTube, Discover, and Gmail. Learn how to set them up and when to choose them over PMax.

How to Write Google Ads Copy That Converts: A Framework for Headlines and Descriptions
Great Google Ads copy combines clear value props with strong CTAs. Learn a proven framework for writing headlines and descriptions that convert.

Google Ads Quality Score in 2026: What Still Matters and How to Improve It
Quality Score still affects CPC and ad rank in 2026. Learn which components matter most, what changed with AI bidding, and how to improve your score.

How to Diagnose a Google Ads Performance Drop: A Structured Troubleshooting Process
When Google Ads performance drops suddenly, you need a structured process to find the cause. Use this troubleshooting framework to diagnose issues.

Where to Spend Your Ad Budget in 2026: Comparing 10 Major Paid Media Platforms
Choosing the right ad platforms in 2026 means comparing Google, Meta, Amazon, TikTok, and more. See how 10 major paid channels compare for your goals.

Microsoft Ads in 2026: Copilot Integration, Publisher Marketplace, and What's New
Microsoft Ads in 2026 adds Copilot integration and an expanded publisher marketplace. Learn what's new and how to leverage these features effectively.

Amazon Ads for E-Commerce Brands: When to Invest Beyond Google Shopping
Amazon Ads offers different intent signals than Google Shopping. Learn when e-commerce brands should invest in Amazon and how to structure campaigns.

Apple Search Ads: New Inventory, New Placements, and What It Means for App Marketers
Apple Search Ads added new inventory across the App Store and Maps. Learn about the latest placements and what they mean for app marketers.

PPC Reporting for Clients: How to Present ROAS, CPA, and Attribution Clearly
PPC reporting should clarify performance, not confuse clients. Learn how to present ROAS, CPA, and attribution data in reports clients actually use.