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How Kynection Escaped a $2,000/Month Google Ads Trap to Earn 4,266 AI Citations Using GEO

Cited in 42.2% of 10,111 tracked AI answer runs. 23.2% AI share of voice, first of 41 tracked competitors, with Procore at 6.2%. 49% reduction in paid sessions.

Last reviewed:
September 17, 2026
Ronan Leonard
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Case Study
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September 2026
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12 min read
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Key Facts

Kynection is a provider of unified software systems for transport, construction, and mining. Before GEO, they spent $2,000 a month on Google Ads and relied on traditional SEO to win search clicks. After implementing IR's GEO strategy, Kynection is cited in 42.2% of 10,111 tracked AI answer runs and holds 23.2% AI share of voice, first of 41 tracked competitors, with Procore at 6.2% (IR AEO Tracker, 17 September 2026, 413 prompts, 10,111 runs across ChatGPT, Gemini, Google AI Overviews and Copilot).

TL;DR
  • The problem was structural, not budget-related: rising CPCs and bot traffic were symptoms. The real issue was that ChatGPT always suggested Procore, because Kynection's content wasn't structured for AI to extract as verifiable facts.
  • GEO rebuilt the content as machine-readable entities: 198 technical buyer prompts mapped, 71 deep-dive content pieces published around real industry scenarios, and key pages rebuilt with strict entity signals.
  • Results appeared within 30 days and have compounded since: cited in 42.2% of 10,111 tracked AI answer runs, 23.2% AI share of voice, first of 41 tracked competitors, 3,245 brand mentions, 49% reduction in paid sessions (IR AEO Tracker, 17 September 2026).
  • Lead quality improved because AI pre-educated buyers: prospects arrived at sales calls already knowing Kynection's specific fit for their use case, reducing sales cycle friction.
Outcome Matrix
The Verdict

GEO is not the right investment if a business has no defined ICP, no structured content, and no technical differentiation worth citing. For those conditions, traditional SEO is the correct priority.

GEO becomes the right investment when a business has a product with specific technical use cases, buyers who research using AI engines, and a competitor already appearing in those results. Kynection had all three. The strategy worked because the content could be restructured as machine-readable fact, not because of volume.

What Kynection Was Struggling With Before GEO

Before implementing GEO, Kynection relied on traditional SEO to win search clicks and spent $2,000 a month on Google Ads to drive bottom-of-funnel leads. This method was producing ever-diminishing returns due to rising click costs and fake bot traffic.

But the real breaking point was an answerability problem. Staff and clients pointed out a glaring issue: "ChatGPT always suggests Procore." When buyers used AI engines to research software, Kynection was entirely invisible. Because their traditional SEO content wasn't structured for AI to extract as verifiable facts, they were locked out of the modern buyer's decision-making phase.

$2K

Monthly Google Ads spend producing diminishing returns. Rising CPCs, fake bot traffic, and zero AI visibility. The budget was solving the wrong problem.

How Kynection Implemented GEO to Beat Procore

To shift from merely ranking web pages to earning AI citations, Kynection deployed a structured GEO playbook. IR turned their digital presence into an authoritative entity that AI engines reference with confidence by focusing on three core capabilities.

Capability 1: Building a Structured Signal Layer

The feature: rebuilding key web pages with strict entity signals, tighter search intent, and machine-readable HTML architecture. The benefit: eliminated ambiguity, allowing Large Language Models to parse Kynection's "One System" software as objective, trustworthy fact rather than marketing copy.

Capability 2: Targeting High-Intent Buyer Prompts

The feature: mapping and optimising for 198 technical, commercial-intent AI prompts. The benefit: stopped wasting budget on generic clicks and earned 4,266 AI citations and 3,245 brand mentions across 10,111 tracked AI runs, right where buyers were researching technical solutions.

Capability 3: Publishing ICP-Filtering Content

The feature: producing 71 deep-dive content pieces matching real-world scenarios. The benefit: filtered out unqualified leads, ensuring only highly educated buyers reached the demo stage.

Technical Alignment: How Structured Content Shifted the Buyer Journey

To dominate AI recommendations, you have to feed the models specific scenarios. Generic software pages do not get cited. Kynection's GEO strategy intentionally highlighted deep technical integrations and specific industry use cases:

  • Pairing fleet management software with Xero integration for transport operators
  • Risk management protocols for the mining sector
  • Compliance and operational reporting for the construction industry

This deep technical mapping matched exactly what high-intent buyers were prompting AI engines to find. It allowed prospects to enter a self-education phase, consuming highly structured use-case-driven content that built trust long before a sales rep ever intervened.

The Results: How GEO Impacted the Bottom Line

Within 30 days, Kynection achieved massive efficiency gains by shifting from traditional PPC to Answer Engine Optimisation.

Beyond the metrics, the most significant commercial benefit was lead quality. Because AI engines handled the initial technical explanations upfront via use-case citations, prospects arrived at sales calls already educated. This drastically reduced the friction of the sales cycle, enabling reps to spend less time answering basic questions and more time closing.

Ronan, Anthony and the team have helped us better understand how customers actually find and engage with us. In some cases, we've tracked more than 70 touchpoints across a customer journey, giving us insights we simply didn't have before. [...] The biggest difference for us has been clarity. Better data, better understanding of our traffic and keywords, and ultimately better decisions. We've also seen a noticeable shift towards more direct customer enquiries and sales.

Kynection logo
Courtney Smith
Kynection · Public Google review

AI Share of Voice: Kynection vs Procore

Beating a brand the size of Procore isn't about budget. It is about being structured in the right format, for the right questions, in the places buyers are now researching. Procore has significantly more brand authority. Kynection won on specificity.

AI Share of Voice comparison, September 2026
Source: IR AEO Tracker, 413 tracked prompts, 10,111 runs across ChatGPT, Gemini, Google AI Overviews and Copilot, 17 September 2026. Share is of mentions among the 41 tracked competitor domains, not of the whole market.

The Takeaway: Beating Global Giants Requires Being the Answer AI Trusts

Beating competitors like Procore isn't about having a bigger Google Ads budget. It is about structuring your data so that AI engines inherently trust you as the definitive answer for your specific use cases.

If your buyers are asking ChatGPT, Perplexity, or Google's AI Overviews for technical solutions, and your competitors are the only ones showing up, you are losing pipeline every single day.

3.7x

Kynection's lead over Procore in AI share of voice: 3,245 brand mentions against 866 across 10,111 tracked runs (IR AEO Tracker, 17 September 2026). The window is open but it closes when a competitor structures their content first.

GEO Visibility Scan
Want to see how often AI engines recommend your competitors over you?

We can run a GEO visibility scan across your highest-value buyer questions to show you exactly where you are winning, where you are missing, and what to fix first.

Ronan Leonard, Founder of Intelligent Resourcing
Written by
Ronan Leonard
Certified Innovation Officer and Founder, Intelligent Resourcing

Ronan Leonard designs GTM workflows that eliminate the gap between strategy and execution. With deep expertise in Clay automation, lead generation, and AI-first revenue operations, he helps businesses build modern growth systems to increase pipeline and reduce customer acquisition costs.

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Metric | Before GEO | After GEO

AI Citations | 0 | 4,266 citations, cited in 42.2% of runs (Sep 2026) AI Share of Voice | 0% (invisible) | 23.2%, first of 41 tracked competitors (Procore 6.2%, Sep 2026) Brand Mentions | None detected | 3,245 across 10,111 runs (Sep 2026) Tracked Buyer Prompts | 0 monitored | 413 monitored across 4 AI engines Paid (PPC) Sessions | $2,000/month spend | −49% sessions. Budget recovered.

4,266 | AI Citations Earned | Cited in 42.2% of 10,111 runs (Sep 2026) 23.2% | AI Share of Voice | First of 41 tracked competitors, Procore at 6.2% (Sep 2026) 3,245 | Brand Mentions | Across 10,111 tracked runs (Sep 2026) 3.7x | Lead Over Procore | 3,245 mentions vs 866 (Sep 2026) 413 | Tracked Buyer Prompts | Monitored across ChatGPT, Gemini, AI Overviews, Copilot −49% | Paid Sessions | Budget recovered and reallocated

Kynection | 23.2 Procore | 6.2 Others combined | 70.6

4,266 AI Citations

Before GEO, Beat Procore, Buyer Journey, Bottom Line, Kynection vs Procore, Answer AI Trusts