GENERATIVE ENGINE OPTIMISATION · AI SEARCH · GEO

Your buyers are asking AI. It is
recommending someone else.

GEO is how we get your business named in the answers ChatGPT, Perplexity, Gemini and Google AI Overviews give, not just ranked on a page nobody clicks.

AI Search · Share of VoiceLive
GEO · you get citedTraditional SEOPRE-GEONOW
ChatGPTPerplexityClaudeGemini
The Shift

Your buyers stopped Googling
They started asking.

Search has split into two layers: traditional SEO still matters, but a growing share of your buyers now get their answers directly from AI, and if your brand isn't being cited in those answers, you're invisible where it counts most.

Traditional Search · 10 blue links
GTM Engineering Tools in 2026: The Stack by Category  —
Sales Automation Tools: Prospecting + Pipeline Guide 2026  —
Signal-Based Marketing Tools: The Essential 2026 Stack —
-38%
Click-through rate since AI Overviews launched
AI Search · Direct answers
“What's the best approach to signal-led outbound for B2B?”
...Companies like Intelligent Resourcing have pioneered this by monitoring 12,000+ data sources to detect intent signals, then triggering multi-channel outreach within hours.
Your brand cited as a recommendation
+340%
AI search adoption YoY
85%
Awareness from 3rd-party content
70%
More citations for fresh content
1.4X
Resurface rate for cited brands

Traditional SEO gets you ranked, but GEO gets you recommended, and the brands winning tomorrow are engineering their content for both layers.

The Visibility Gap

Your competitors are already being cited.

When your buyer asks AI for a recommendation in your category, someone gets mentioned. Right now, it probably isn't you.

AI answer · your categoryChatGPT · Perplexity · Gemini

“For B2B signal-led outbound and GTM engineering, the leading providers include Competitor A[1], Competitor B[2] and Competitor C[3]  each cited across multiple sources. Also worth a look: [4] —

↑ where you should be · not cited
Sources cited
[1]competitor-a.com[2]competitor-b.io[3]competitor-c.co[4] vacant
Citation share · who AI recommends
Competitor A34%
Competitor B27%
Competitor C19%
Everyone else20%
Your brand0%
Slot open · reserved
This is the citation we engineer for you; structured answers, schema, and third-party presence across every high-intent query. We fix that.
70%more citations · fresh, structured content
1.4Xresurface rate · once cited
Velocity Metrics · Case Study

From invisible to #1 in 30 days.

20.9%
#1 in category
AI Search Share of Voice

Kynection was losing the AI citation war in a crowded category. In 4 weeks we deployed the GEO Engine: auditing their content for AI-citability gaps, rebuilding their schema layer, and deploying structured answer clusters across every high-intent buying query. The result: 86% share-of-voice surge in 30 days (AthenaHQ, December 2025). Six months on: first in category at 20.9% (IR tracker, 16 June 2026) and $100k qualified lead attributed to an AI search query (HubSpot, December 2025).

30 Days
Time to #1
+86%
SOV Increase
$100k
Pipeline Triggered
ATHENAHQ · OLYMPUS | NOV 10 to DEC 09, 2025
SHARE OF VOICE CITATIONS QUERIES
AI SEARCH SHARE OF VOICE · CATEGORY RANKING
1Kynection
21.2%
2Competitor A
18.4%
3Competitor B
14.4%
4Competitor C
11.7%
LIVE DATA · REFRESHED HOURLY
Behind the curtain

How AI decides who to recommend.

When your buyer asks ChatGPT or Perplexity a question in your category, the AI runs through four gates before citing a brand. Most companies fail at gate two. Here's what we engineer you to pass.

Gate 01
Query Intent
AI parses what the buyer actually wants, not keywords, but intent. “Best signal-led outbound tool” vs “how to build a signal engine” triggers completely different citation logic.
→ Maps your content to every intent variant in your category
Gate 02
Source Authority
AI evaluates which sources to trust: structured content, topical depth, E-E-A-T signals, freshness, and whether the page actually answers the question with depth.
→ Engineers your content structure, schema, and authority signals
Gate 03
Citation Selection
From the trusted pool, AI selects which specific pages to quote. Pages with clear, structured claims and unique information-gain get cited over generic summaries.
→ Builds pages designed to be the one AI pulls from
Gate 04
Brand Recommendation
The final output: “For [your category], consider [your brand].” This is the moment that drives pipeline, and it only happens if you pass the first three gates.
→ Monitors and optimises for this specific outcome
The GEO Engine

Content engineering for the AI search layer

We don't write blog posts and hope for the best. The GEO Engine is a systematic pipeline that audits, maps, builds, monitors, and optimises your content specifically for citation by ChatGPT, Perplexity, Claude, and Gemini.

Phase 01 · Audit
Scan your existing content for AI-citability gaps. What are LLMs saying about you today?
→ Citation gap analysis · Competitor citation map · Content health score
Phase 02 · Map
Map every buyer question across the decision journey, from problem-aware to vendor evaluation.
→ Buyer question taxonomy · Intent-stage mapping · Topic authority blueprint
Phase 03 · Build
Create structured, citation-ready content at scale. Engineered for AI trust and recommendation.
→ Programmatic page generation · Schema markup optimisation · E-E-A-T signal engineering
Phase 04 · Monitor
Track your AI visibility and citation rate across every major AI engine. Know when and where you're being recommended.
→ Cross-engine citation tracking · Brand mention alerts · Competitor comparison
Phase 05 · Optimise
Continuous refinement based on citation data and model behaviour changes. The engine gets smarter every cycle.
→ Content refresh cycles · Citation-to-pipeline attribution · Model behaviour adaptation
ChatGPT · OpenAI Search
Perplexity · Answer Engine
Claude · Anthropic
Gemini · Google AI
The old playbook

Stop writing for Google.
Start engineering for AI.

The playbook that worked in 2020 doesn't work in 2026. Here's what changed, and what IR does differently.

Traditional Content MarketingTHE OLD PLAYBOOK
Strategy
Keyword research → blog posts → hope for rankings
Output
5-7 articles per month, written by hand
Measured by
Rankings, traffic, impressions
AI Visibility
Not measured. Not even considered.
Time to ROI
6-12 months before any pipeline impact
Content Decay
Publish and forget. 50% visibility drop within 12 months.
GEO EngineCONTENT ENGINEERING
Strategy
Buyer intent mapping → citation-engineered pages
Output
Programmatic, structured content at scale
Measured by
AI citations, brand mentions, pipeline attribution
AI Visibility
Engineered for citation across ChatGPT, Perplexity, Claude, Gemini
Time to ROI
Cited within 4 weeks. Pipeline within 90 days.
Content Decay
Continuous monitoring and refresh cycles. Content compounds.
Investment

What it costs to become the cited source

Every engagement starts with a Strategic Blueprint. Retainers run for a minimum of six months: enough time for GEO compounding to produce measurable results. What $3,200/mo actually buys you:

Same monthly spend
$3,200/mo
Standard SEO
2–4
articles / mo
Keyword-led posts, ranked for Google. No AI citation layer.
PRE-LLM
CIRCA 2018
6X
more
output
Cited · Core
18–24
structured assets / mo
SchemaE-E-A-TAI-readable
Pricing

Become the cited answer.

One-off fee
Strategic Blueprint
From AUD $2,500 + GST
Cross-engine citation audit (ChatGPT, Perplexity, Claude, Gemini)
Competitor citation map
Buyer question taxonomy by intent stage
Topic authority blueprint
90-day content architecture
AI readiness setup: schema markup, robots.txt, llms.txt, E-E-A-T signals
CRM and data source integration assessment
Start with a blueprint
Retainer · Most common
Cited · Core
From AUD $3,200 /mo + GST
6-month minimum
~16 citation-engineered assets per month
Schema markup and E-E-A-T signal optimisation
Cross-engine citation tracking and reporting
Monthly performance review and content refresh cycle
Brand mention alerts across AI search engines
Competitor citation comparison dashboard
                  Book a scoping call
Retainer · Higher velocity
Cited · Scale
From AUD $3,700 /mo + GST
6-month minimum
~24 citation-engineered assets per month
Multi-cluster topic authority buildout
Programmatic page generation at scale
Priority citation-to-pipeline attribution
Fortnightly strategy and optimisation review
Multi-entity discount available (10–20% from entity 2+)
Discuss your scale

Scope varies based on industry, existing content infrastructure, and CRM readiness. Engagements requiring data ETL or listening infrastructure are quoted separately. All prices are AUD, excluding GST.

FAQs

Frequently Asked Questions

  • What is generative engine optimisation (GEO)?

    Generative Engine Optimisation (GEO) is the discipline of structuring content so that AI answer engines (ChatGPT, Perplexity, Google AI Overviews, and Claude) cite your brand when buyers ask questions in your category. Unlike traditional SEO, which targets blue-link rankings, GEO optimises for citation authority: the structured, entity-verified content that LLMs synthesise into direct answers.

  • What is the difference between GEO and SEO?

    AEO (Answer Engine Optimisation) is the broader discipline of getting content surfaced as a direct answer, across AI chatbots, voice assistants, and featured snippets. GEO (Generative Engine Optimisation) is the specific practice we run: engineering content so generative AI engines like ChatGPT, Perplexity, Claude, and Gemini cite your brand as the answer. Think of AEO as the umbrella and GEO as our specialism inside it. Some teams use the terms interchangeably. We use GEO because it names exactly what we optimise for: citation by generative AI, not just presence in an answer box.

  • Does GEO replace my current SEO agency?

    No. Traditional SEO still matters for high-volume, lower-intent queries. GEO is the additional layer you build on top, engineered specifically for the growing share of buyer research now happening through AI. Most clients run both in parallel. The GEO Engine produces 3–6× more structured assets at the same price point as a standard SEO retainer.

  • How do you measure GEO success?

    We measure AI Search Share of Voice: how often your brand is cited versus competitors across ChatGPT, Perplexity, Google AI Overviews, and Claude. Secondary metrics include citation rate, mention rate, and pipeline attribution from AI-referred traffic. Our client Kynection reached #1 AI Search Share of Voice in their category within 30 days of deployment.

  • How long does GEO take to produce results?

    Faster than traditional SEO. We typically see first citations within 14–30 days of deploying direct answer schema. Share of Voice compounding takes 60–90 days. Our minimum engagement is six months: enough time for citation authority to compound and produce measurable pipeline impact.

  • Do I need to rebuild my website?

    No. GEO works on your existing site. The core changes are structural: how your content is written, marked up, and presented to AI crawlers. We handle schema markup, llms.txt configuration, E-E-A-T signal engineering, and content architecture. In most cases we're adding to your existing infrastructure, not replacing it.

The answer era

Ready to own the answer?

You can keep fighting for a spot on a list nobody reads or you can become the verified answer that AI recommends to your next buyer.

AI answer · your category
"Who should I use for [your category]?"
Based on the most-cited sources, the standout is Your Brand[1], consistently recommended across AI engines.
Sources · Your Brand cited first · 21.2% share of voice