SEARCH-TO-PIPELINE

Turn Google and AI visibility into qualified pipeline.

Search-to-Pipeline is Teknicks' proprietary methodology for B2B companies. We find the buyer demand that matters, build the content and assets to capture it, strengthen the signals that shape recommendations, improve the experience so more qualified buyers take action, and use pipeline data to improve what works.

Request a Strategy Meeting See Client Results

STAGE 1

MAP

Find the buyer demand that matters.

Use customer insight, Jobs-to-be-Done, search behavior, AI questions, competitor research and sales intelligence to understand what buyers are trying to accomplish, what triggers their search and which opportunities are most likely to influence revenue.

Buyer and Jobs-to-be-Done insights
High-intent search and AI question research
Competitor and market gaps
Prioritized revenue opportunities

STAGE 2

CAPTURE

Build the content and assets that capture that demand.

Turn the highest-priority opportunities into Buyer Capture Pages and supporting assets designed around the questions buyers ask, the alternatives they compare and the decisions they need to make.

Buyer Capture Pages
Technical SEO and AI-search foundations
Category, competitor & alternative content
Use-case and industry content

STAGE 3

INFLUENCE

Strengthen the signals that shape recommendations.

Identify the reviews, publications, communities, citations and other external sources shaping important buying decisions, then strengthen your presence within the sources that matter most.

Review and rating presence
Publication and editorial coverage
Community and citation building
Third-party source strengthening

STAGE 4

CONVERT

Improve the experience so more qualified buyers take action.

Analyze how high-intent buyers interact with the site, remove friction and improve the messaging, proof, user experience and conversion paths that move them toward a meaningful sales conversation.

Conversion optimization
UX and experimentation
Messaging, proof and interactive experiences
Next-step and conversion-path design

STAGE 5

COMPOUND

Use pipeline data to improve what works.

Connect search and conversion activity to SQLs, opportunities and pipeline so we can see which buyer journeys create real business results and continuously shift investment toward what performs best.

Search-to-SQL attribution
Opportunity and pipeline tracking
Performance-driven investment
Ongoing buyer-journey optimization

PROOF

Case Study 01WebMD Health Services

From Search Visibility to Qualified Demand

A connected growth program spanning search foundations, AI readiness, conversion experimentation, and attribution. Search and AI-readiness work helped relevant buyers discover the site, while CRO improvements turned more of that demand into qualified demo requests.

Higher-Intent Discovery

AI Visibility

Conversion Experience

Qualified Pipeline

The opportunity

WebMD Health Services had established organic demand, but visibility for priority topics, AI-search readiness, and conversion pathways still left qualified demand on the table.

What changed

Higher-intent discovery

Technical SEO, high-intent page optimization, and competitor-comparison content helped buyers find relevant answers earlier in their research.

AI-readable content

Structured-data improvements, dynamically generated Markdown versions of priority pages, and delivery-layer changes that make complex web content easier for AI systems to access, interpret, and cite.

Demand capture

Demo-form redesign, stronger proof on high-intent pages, mobile CTA testing, and iterative conversion experiments reduced friction after buyers arrived. One mobile experiment produced an approximate 4× conversion-rate lift that held beyond launch.

Attribution

GA4, Search Console, Salesforce, and post-conversion survey inputs to clarify discovery sources.

Measurement window

Primary results compare Q4 2025 with Q4 2024.

Primary business outcome

Higher-intent discovery and stronger conversion paths worked together to increase qualified pipeline.

69%

More qualified demo requests

Google search visibility

156%

Increase across traditional organic search results and AI experiences

AI discovery

325%

Increase in ChatGPT referrals as discoverability expanded beyond traditional search

Conversion efficiency

306%

Improvement in user conversion rate as stronger conversion paths captured more of the demand reaching the site

Client perspective

Jennie Overton

Senior Acquisition Marketing Manager

WebMD Health Services

“Teknicks delivered a comprehensive analysis and set of recommendations to support our marketing strategy and fuel the next phase of our lead acquisition strategy. Their insights and guidance were instrumental in refining and enhancing our overall messaging.”

Case Study 02Compliancy Group

From Declining Visibility to 60% More Organic MQLs

A connected search and AEO/GEO program helped a healthcare compliance software company reverse declining discovery, build visibility inside AI experiences, and turn that momentum into measurable MQL growth.

High-Intent Discovery

AI Visibility

Conversion Path

Organic MQLs

The opportunity

Traditional search visibility and organic traffic were declining, while the brand had little visibility inside emerging AI search features. The opportunity was not simply to earn citations. It was to build authority around the questions and high-intent searches that precede a buying decision.

The execution

Capture high-intent demand

Refresh priority content and build landing pages around the questions and searches closest to a buying decision.

Strengthen machine interpretation

Improve structured data, crawler access, crawl efficiency, and information architecture across optimized pages.

Connect visibility to MQLs

Use Search Console and GA4 to separate optimized-content performance from broader market decline and measure MQL impact.

Early performance signal

A priority page's trajectory changed immediately after implementation, moving from page three to page one in Google and increasing its daily click rate 10× during the reporting window.

Primary business outcome

60%

Growth in organic MQLs

More organic MQLs in the latest post-implementation period, achieved within the first three months

High-intent content

150%

Growth in clicks across post-implementation window compared with a matched pre-implementation period

AI feature visibility

1,476%

Growth in AI-feature impressions on optimized pages within the first three months

The strategy

Visibility tied to demand

We did not optimize for AI citations simply to collect citations. We built authority where buyers were searching, captured high-intent demand, and connected that visibility back to organic MQL generation.

Ready to connect search to pipeline?

We'll look at how buyers are finding and evaluating your company, where competitors are winning across Google and AI, and where qualified demand may be getting lost.

Request a Strategy Meeting

Senior strategist. No pitch deck. No pressure.