
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 artificial intelligence (AI) answer runs. 23.2% AI share of voice, first of 41 tracked competitors, with Procore at 6.2%. 49% reduction in paid sessions.
Kynection is a provider of unified software systems for transport, construction, and mining. Before generative engine optimisation (GEO), they spent $2,000 a month on Google Ads and relied on traditional search engine optimisation (SEO) to win search clicks. Then Intelligent Resourcing (IR) put its GEO strategy in place. Kynection is now cited in 42.2% of 10,111 tracked AI answer runs. It holds 23.2% AI share of voice, first of 41 tracked competitors. Procore sits at 6.2%. (Source: IR AEO Tracker, 17 September 2026, 413 prompts, 10,111 runs across ChatGPT, Gemini, Google AI Overviews and Copilot.)
- The problem was structural, not budget-related: rising costs per click (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 clear facts a machine can read. IR mapped 198 technical buyer prompts. It published 71 deep-dive content pieces built on real industry scenarios. And it rebuilt key pages with strict entity signals, the labels that tell AI exactly what each thing is.
- 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 taught buyers first. Prospects came to sales calls already knowing how Kynection fit their use case. That took friction out of the sales cycle.
GEO is not the right investment if a business has no defined ideal customer profile (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 three things are true. The product has specific technical use cases. Buyers research with AI engines. And a competitor already shows up 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.
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: nothing was left unclear. Large language models, the AI behind tools like ChatGPT, could now read Kynection's "One System" software as trustworthy fact, not 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 chose to lead with its deep technical integrations and its specific uses in each industry:
- 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. Prospects could teach themselves first. They read clearly structured content built around use cases. That content built trust long before a sales rep stepped in.
The Results: How GEO Impacted the Bottom Line
Within 30 days, Kynection achieved massive efficiency gains by shifting from traditional pay per click (PPC) ads to Answer Engine Optimisation.
Beyond the metrics, the most significant commercial benefit was lead quality. AI engines had already explained the technical basics, citing Kynection's use cases. So prospects knew the basics before the sales call even started. 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.
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.
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.
Are your buyers asking ChatGPT, Perplexity or Google's AI Overviews for technical answers? And do only your competitors show up? Then you're losing pipeline every single day.
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.
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 designs go-to-market (GTM) workflows that eliminate the gap between strategy and execution. He knows Clay automation, lead generation and AI-first revenue operations well. He helps businesses build growth systems. These add pipeline and cut what it costs to win each new customer.
Connect on LinkedInMetric | 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
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