Generative Engine Optimisation (GEO) & AI Search Optimisation (ASO)
AI Knowledge Signal

Be the business AI recommends — AI Knowledge Signal

Be seen by customers in AI search, don't get filtered out.

AI systems are now the primary interface through which people access knowledge. The organisations that shape how they are represented inside those systems will define their industries.

What is GEO?

Generative Engine Optimisation (GEO) — also called AI Search Optimisation (ASO) — is the discipline of engineering how your organisation is represented in AI systems.

AI systems do not discover organisations through search ranking alone. They ingest, classify, and cite content based on structural, epistemic, and technical properties — properties most organisations have never had reason to optimise. Research across peer-reviewed GEO literature and our own empirical cross-sector audits (see Research & Evidence) establishes that these properties can be systematically improved. The AI Knowledge Signal Framework addresses each stage across six phases.

See how it works
Free Audit

Audit your AI Knowledge Signal

Results in under 30 seconds

Enter any public URL. The audit runs a technical pre-analysis — checking schema markup, heading structure, canonical tags, and metadata — then scores your content across five AI training readiness dimensions: Crawlability & Technical Access, Structural Clarity & Machine Readability, Knowledge Uniqueness & Contribution, Authority, Evidence & Trust, and AI Usability & Retrieval Readiness. Returns a Corpus Survival Likelihood rating and a structured report with Framework phase priorities. Corpus Survival Likelihood is the estimated probability that a piece of content survives AI training data quality filters rather than being removed or down-weighted before model training.

Free audit — partial analysis. This audit covers technical signals and the first 9,000 characters (~1,500 words) of your page — see FAQ for full methodology details. To score full-length content or unpublished drafts, use the Chrome and Edge extension and the framework which provides full suite of 170+ levers aligned to the AI Signal Publication 6-Phase Framework.
Missing contribution:
out of 10
Dimension Scores (5 = publication-grade)
Strengths
    Weaknesses
      Top Recommendation
      Framework Phases to Address
      Your priority framework phases are ready Activate the Chrome and Edge extension to unlock the exact phases to address — with the full 170+ lever checklist.
      Get Access — from $20/month
      Research basis: GEO: Generative Engine Optimization, Aggarwal et al., Princeton University (2024) · Navigating the Shift: Web Search and Generative AI Response Generation, Chen et al. (2026) · Evaluating Verifiability in Generative Search Engines, Liu, Zhang & Liang (2023)
      The evidence

      Why GEO/ASO Is Critical Now

      The empirical case, in four parts: people now decide through AI, ranking on Google no longer puts you in the answer, AI cites only what it can retrieve — and structured publication measurably wins back visibility.

      900M
      Weekly active users on ChatGPT — one of the most rapidly adopted platforms in history, now a primary interface through which people access knowledge and make decisions.
      OpenAI, via Search Engine Land, 2026
      2.5B
      Prompts sent to AI systems every day — AI is becoming the primary interface for knowledge access, replacing search for an entire generation of users.
      OpenAI figures, via TechCrunch, 2025
      AI Knowledge Signal
      46.4%
      ChatGPT's share of AI assistant usage — below 50% for the first time, with Gemini at 27.7% and Claude at 10.3%. AI visibility now has to be earned across several engines, not just one.
      Sensor Tower — State of AI 2026
      12%
      Of URLs cited in AI-generated answers overlap with Google's top 10 organic results — ranking high in traditional search does not translate to presence in AI answers.
      Ahrefs AI Search Overlap Study, 2025
      1 in 3
      Perplexity citations point to pages in Google's top 10 — even the AI search engine with the highest SEO overlap still draws two-thirds of its citations from outside traditional rankings.
      Ahrefs AI Search Overlap Study, 2025
      48%
      Of all Google searches now return an AI Overview instead of just blue links — up 58% in a single year — as AI-generated answers displace traditional results at scale.
      BrightEdge research, via Search Engine Journal, 2026
      <10%
      Citation accuracy of large language models answering from memory alone, without a retrieval layer — peer-reviewed testing across 120 papers found direct prompting could not exceed 10% and hallucinated its sources.
      Engineering Applications of AI (Elsevier), 2026
      74%
      Of new web pages now contain AI-generated content — a large-scale study of 900,000 newly created pages found nearly three-quarters include AI-generated material.
      Ahrefs web content study, 2025
      50%+
      Of new online articles are now AI-generated — analysis of Common Crawl data shows AI-written articles surpassed human-written articles around 2024–2025.
      Graphite research analysis, 2025
      60%
      Of companies now use AI to produce content — businesses across industries deploy generative AI for marketing, websites, and corporate communications.
      Digital Silk industry research, 2026
      40%
      Visibility uplift in AI-generated responses achievable through GEO — structured knowledge publication directly increases an organisation's presence in the answers AI systems produce.
      arXiv: "GEO: Generative Engine Optimization," 2023
      The search landscape is splitting

      Google still owns traditional search. But the AI answer layer has a completely different leaderboard, and the click itself is disappearing.

      Traditional search · worldwide

      Google still dominates the open web

      ~90% of all search engine queries still run through Google.

      Google 90.02%
      Bing 5.14%
      All others 4.84%

      Source: StatCounter Global Stats — Search Engine Market Share, April 2026

      AI assistant usage · worldwide

      Measured by active users, ChatGPT has fallen below 50% for the first time as Gemini and Claude surge

      The AI system answer leaderboard

      ChatGPT 46.4%
      Google Gemini 27.7%
      Claude 10.3%
      Grok, Perplexity & others <5%

      ChatGPT still leads on raw scale (1.1B monthly users to Gemini's 662M and Claude's 245M) — but the answer layer is no longer a one-engine race. Being cited across all of them is what now matters.

      Source: Sensor Tower — State of AI 2026 (via TechCrunch)

      AI chatbot referrals · worldwide

      ChatGPT still leads the traffic it sends back

      Of the visits AI sends to the open web, ChatGPT leads — but Gemini, Perplexity and Copilot are carving out share.

      ChatGPT 76.85%
      Google Gemini 9.00%
      Perplexity 7.73%
      Microsoft Copilot 3.76%
      Claude 2.66%

      Source: StatCounter Global Stats — AI Chatbot Market Share, April 2026

      AI chatbot referrals · ChatGPT

      And the AI layer is fragmenting fast

      ChatGPT's share of AI referrals has fallen to a record low as rivals grow.

      90% 80% 70% 84.21% 76.85% Apr 2025 Apr 2026

      Source: StatCounter Global Stats — ChatGPT hits all-time low, April 2026

      User behaviour · Google search

      AI summaries are eating the click

      When an AI summary appears, users click a result roughly half as often.

      No AI summary 15%
      AI summary shown 8%

      The query is answered on Google's page — outbound traffic to your site never happens. Being cited inside the answer is what now matters.

      Source: Pew Research Center — AI summaries and search click-through, 2025

      Market insights

      Ahrefs AI Search Benchmark — Q4 ’25–Q1 ’26

      What AI systems actually cite — and it isn’t the Google leaderboard.

      • AI citations no longer mirror Google rankings — 28.3% of ChatGPT’s top-cited pages have zero organic visibility.
      • Zero-click is accelerating — AI Overviews reduce clicks to top-ranking content.
      • Fresh content wins — 89.7% of identifiable ChatGPT-cited pages were updated in 2025.
      • YouTube is the strongest AI visibility signal — correlation of ~0.737.
      • “Best X” listicles dominate discovery — 43.8% of ChatGPT source URLs for top-of-funnel queries.

      Source: Ahrefs — AI Search Benchmark Report, Q4 ’25–Q1 ’26

      Self-assessment

      How AI Systems Evaluate Your Organisation

      Don't get filtered. Get seen.

      • Crawlability & Technical Access — Can AI systems reach, access, and ingest your content?
      • Structural Clarity & Machine Readability — Is your content shaped so machines understand what your organisation actually is?
      • Knowledge Uniqueness & Contribution — Are you contributing original knowledge, or just repeating what already exists?
      • Authority, Evidence & Trust — Are your claims credible, consistent, and verifiable across the web?
      • AI Usability & Retrieval Readiness — Can AI systems actually use, extract, and cite your content?
      • Maintenance, Monitoring & Improvement — Are competitors being cited instead of you, and are you improving over time?

      If you don't control your narrative in AI, your competitors will.

      See how you show up across the AI engines your customers use

      ChatGPT, Claude, Perplexity and Gemini
      How we compare

      The AI-citation tool built for Australian budgets

      The big SEO suites bolt AI tracking onto enterprise plans, and the specialists are agencies on retainer. AI Knowledge Signal is a self-serve tool that scores your content for AI citation — affordably, with an Australian focus.

      Product / service type AI-citation scoring YouTube content audit Pricing (entry) Self-serve tool Australia focus
      AI Knowledge Signal AI-citation audit tool — 6-phase framework YesScores citation-readiness, not just mentions YesPlannedAudits your own video for citation-readiness From $20 / mo Yes Yes
      Ahrefs SEO suite + AI add-on (Brand Radar) Mention / share-of-voice tracking PartialTracks YouTube mentions as a source only ~$828 / mo for AI tracking Yes No
      Semrush SEO suite + AI add-on (AI Visibility Toolkit) Mention / share-of-voice tracking No $99 / mo add-on + paid base plan Yes No
      Peec AI GEO / AI-visibility analytics Mention + source-gap tracking PartialFlags YouTube as a citation source only ~€85 / mo (~$95), EU-priced Yes No
      Onely Technical-SEO / AI-search agency Service-delivered No Custom retainer (~$2,500+ / mo) No No
      iPullRank SEO / GEO agency (Relevance Engineering) Service-delivered No Custom / enterprise quote No No

      Competitor features and pricing as publicly listed, June 2026, and subject to change.

      The science behind the framework

      AI Knowledge Signal Framework

      A structured methodology for engineering how organisations are represented in AI systems. Built on peer-reviewed GEO research and validated across empirical content audits, the framework addresses each stage of the AI knowledge supply chain — from technical access and structural clarity through to authority, retrieval readiness, and ongoing maintenance. Six phases, 142 signals.

      Original Research — Forthcoming 2026

      Machine Knowledge Readiness: An Empirical Audit of AI-Mediated Discoverability of Australian Business Websites — an empirical cross-sector study measuring how prepared Australian organisations are to be found, cited, and accurately represented by AI systems. Examines machine-readable infrastructure, schema adoption, crawlability posture, and epistemic content quality across industries.

      Christopher Foster-McBride, Digital Human Assistants

      See the academic papers and provider evidence behind the framework →

      Get access

      Start scoring your content for AI citation

      The Chrome and Edge extension, the full 6-phase framework, and the prompts people are using to find you — all in one subscription. See everything included →

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