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Titan Global Case Study

  • SEO & GENERATIVE ENGINE OPTIMIZATION FOR TITAN GLOBAL ENTERPRISES

Search that books sales calls, not just visits.

Titan had an AI visibility score of zero and leaned on outbound to fill the pipeline. We rebuilt search into a channel that generates qualified leads on its own, and made the brand visible inside ChatGPT, Gemini and AI Overviews while we were at it.

Client

Titan Global Enterprises

Focus

Lead generation via SEO​

Channel

SEO + GEO

Outcome

0+ qualified leads a month

51+

Qualified leads a month, from a standing start of zero

+252%

Growth in organic traffic, to 936 visits a month

200+

AI visibility score, built from nothing

286

Organic keywords ranking, several on page one

0 +

Qualified leads a month, from a standing start of zero

+ 0 %

Growth in organic traffic, to 936 visits a month

0 +

AI visibility score, built from nothing

0

Organic keywords ranking, several on page one

  • The Client

Titan wanted search to carry the pipeline.

The brief was unusually direct. Build an inbound growth engine focused on lead generation, conversions and sales calls booked through SEO, and establish visibility inside the AI systems that buyers increasingly ask before they ever reach a search results page.

Objective

An inbound growth engine measured in leads, conversions and sales calls, not traffic

Secondary Goal

Establish AI visibility across generative engines

Where They Started

Minimal organic visibility · AI visibility score of 0 · Few commercial rankings

The Dependency

Pipeline relied heavily on outbound sales

Channels

Technical SEO, commercial content, semantic SEO and generative engine optimization

Success Measure

Qualified leads and booked sales calls attributable to organic search

  • The Client

Titan wanted search to carry the pipeline.

The brief was unusually direct. Build an inbound growth engine focused on lead generation, conversions and sales calls booked through SEO, and establish visibility inside the AI systems that buyers increasingly ask before they ever reach a search results page.

Objective

An inbound growth engine measured in leads, conversions and sales calls, not traffic

Secondary Goal

stablish AI visibility across generative engines

Where They Started

Minimal organic visibility · AI visibility score of 0 · Few commercial rankings

The Dependency

Pipeline relied heavily on outbound sales

Channels

Technical SEO, commercial content, semantic SEO and generative engine optimization

Success Measure

Qualified leads and booked sales calls attributable to organic search

  • The Challenge

Invisible in search. Invisible to the AI too.

Titan was not underperforming on search. It was barely present on it. And with an AI visibility score of zero, the brand was absent from exactly the surfaces where more and more high intent research now begins.

Minimal Organic Visibility

Few commercial rankings and little content authority to build on. The terms that influence a buying decision were owned by competitors, and Titan was nowhere near them.

Few

commercial keywords ranking

Zero AI Visibility

An AI visibility score of zero. When a prospect asked ChatGPT or Gemini for options in the category, Titan simply did not come up. That is an entire research channel producing nothing.

0

AI visibility score at kickoff

No Content Authority

Almost no topical depth. Nothing signalled to a search engine, or to a language model, that Titan was a credible authority in its own category rather than one more brochure site.

Low

topical authority signals

Dependent on Outbound

With inbound producing little, the pipeline leaned on outbound sales. That works, but it does not compound, and it leaves growth capped by how many calls the team can physically make.

Outbound

the primary source of pipeline

  • The Challenge

Invisible in search. Invisible to the AI too.

Titan was not underperforming on search. It was barely present on it. And with an AI visibility score of zero, the brand was absent from exactly the surfaces where more and more high intent research now begins.

Minimal Organic Visibility

Few commercial rankings and little content authority to build on. The terms that influence a buying decision were owned by competitors, and Titan was nowhere near them.

Few

commercial keywords ranking

Zero AI Visibility

An AI visibility score of zero. When a prospect asked ChatGPT or Gemini for options in the category, Titan simply did not come up. That is an entire research channel producing nothing.

0

AI visibility score at kickoff

No Content Authority

Almost no topical depth. Nothing signalled to a search engine, or to a language model, that Titan was a credible authority in its own category rather than one more brochure site.

Low

topical authority signals

Dependent on Outbound

With inbound producing little, the pipeline leaned on outbound sales. That works, but it does not compound, and it leaves growth capped by how many calls the team can physically make.

Outbound

the primary source of pipeline

  • The Strategy

Four phases.
Rank for search and for machines.

We ran a conventional SEO build and a generative engine optimization track in parallel. The first wins the search results page. The second wins the answer a language model gives when a buyer never opens one.

Phase 01

Technical Foundation

Setup

  • Technical SEO foundation built and cleared of blockers
  • Baseline captured, including an AI visibility score of zero
  • Site structured so new content could rank rather than stall

Phase 02

Commercial Intent

Build

  • Commercial intent landing pages built for the terms that influence buying
  • Pages designed to convert a visit into a booked call, not just a session
  • Focus deliberately placed on decision stage keywords rather than vanity volume

Phase 03

Topical Authority

Scale

  • Service, location and blog content built out to establish topical authority
  • Content clustered around themes rather than published as isolated pages
  • Internal linking and semantic SEO applied so the site read as a coherent whole

Phase 04

Generative Engine Optimization

GEO track

  • Entity first content so language models could recognise Titan as a distinct entity
  • Topical clustering to reinforce authority across both search and AI systems
  • Answer first formatting to match how generative engines extract responses
  • The Strategy

Four phases.
Rank for search and for machines.

We ran a conventional SEO build and a generative engine optimization track in parallel. The first wins the search results page. The second wins the answer a language model gives when a buyer never opens one.

  • Phase 01

No Content Authority

Setup

  • Technical SEO foundation built and cleared of blockers
  • Baseline captured, including an AI visibility score of zero
  • Site structured so new content could rank rather than stall
  • Phase 02

Commercial Intent

Build

  • Commercial intent landing pages built for the terms that influence buying
  • Pages designed to convert a visit into a booked call, not just a session
  • Technical SEO foundation built and cleared of blockers
  • Phase 03

Topical Authority

Scale

  • Service, location and blog content built out to establish topical authority
  • Content clustered around themes rather than published as isolated pages
  • Internal linking and semantic SEO applied so the site read as a coherent whole
  • Phase 04

Generative Engine Optimization

GEO track

  • Entity first content so language models could recognise Titan as a distinct entity
  • Topical clustering to reinforce authority across both search and AI systems
  • Answer first formatting to match how generative engines extract responses
  • The Results

Numbers that
speak for themselves.

From Zero to a Lead Channel

The two figures the brief was written around

QUALIFIED LEADS PER MONTH

0 → 50+

A channel that produced nothing now leads pipeline

AI VISIBILITY SCORE

0 → 28

Now surfacing across ChatGPT, Gemini and AI Overviews

Organic Traffic

Monthly organic visits, before against after

AI Visibility Score by Market

Top markets, Dec 2025 vs Jun 2026

Key Outcomes

Measured against the position at the start of the engagement

The headline shift is not the traffic percentage. It is that a channel producing zero qualified leads now produces more than fifty a month, with booked sales calls as the primary business impact.

  • Why It Worked

Five decisions that made search a channel.

Plenty of SEO work produces traffic that never converts. This produced booked calls because every decision was measured against pipeline rather than against a rankings report.

01

Commercial Keywords First

The work targeted terms that influence a buying decision, not the high volume informational queries that inflate a traffic chart and convert nobody.

→ Multiple page-one commercial rankings

02

Authority Built From Scratch

Service, location and blog content, linked semantically into clusters, turned a site with almost no depth into a recognised authority in its category.

→ 286 keywords ranking, up from a handful

03

Optimised for the Answer Box

Entity first content and answer first formatting targeted how generative engines actually extract and cite information, not just how the classic blue links are ranked.

→ AI visibility score from 0 to 28

04

Pages Built to Convert

Commercial intent landing pages were designed to turn a visit into a booked call. Ranking was treated as the start of the job, not the end of it.

→ Conversions and sales calls both up

05

Measured in Leads, Not Traffic

Success was defined as qualified leads and booked calls from the outset. That single choice shaped every keyword, page and piece of content that followed.

→ 50+ qualified leads a month

  • Behind the Work

Two engines, built at the same
time.

Most SEO engagements optimise for the search results page and hope the AI systems follow. We treated generative engine visibility as its own track from day one, because a buyer who gets a confident answer from a language model rarely clicks through to check it.

  • How it came together
  • Baseline

Two Scores at Zero

Minimal organic visibility and an AI visibility score of zero. A pipeline dependent on outbound. The honest starting position, measured on both the search and the AI axis.

  • Foundation

Technical, Then Commercial

Technical SEO cleared the way, then commercial intent landing pages went live for the terms that actually influence a purchase decision.

  • Authority

Clusters, Not Pages

Service, location and blog content built into linked topic clusters. Semantic SEO tied it together so search engines read Titan as an authority rather than a collection of pages.

  • GEO

Written for Machines to Cite

Entity first content and answer first formatting made Titan legible to language models. The AI visibility score began climbing from zero.

  • Outcome

A Predictable Lead Channel

50+ qualified leads a month, multiple page-one commercial rankings and an AI visibility score of 28. Search became a source of pipeline rather than only a source of traffic.

Search

286

Organic keywords ranking

Search

936

Monthly organic visits, up 252%

Value

$1.8K

Traffic value, up 202%

AI

28

AI visibility score, from zero

Pipeline

50+

Qualified leads a month, with booked sales calls as the primary business impact

0 → 28

AI visibility built from nothing, so the brand now surfaces in ChatGPT, Gemini, AI Overviews and AI Mode.

  • Ready to grow

Is your search traffic booking any calls?

Traffic that never converts is a cost, not a channel. And if your brand scores zero when a buyer asks an AI for options, an entire research surface is passing you by. Both are fixable, and they compound once built.

  • Target the commercial keywords that influence buying
  • Build topical authority instead of isolated pages
  • Make your brand legible to generative engines
  • Measure the channel in leads, not sessions