Host
Paul Rowe
Primary Discipline
Generative Engine Optimisation
Editorial Approach
Evidence-led and test-driven
Coverage
Major AI platforms and answer engines
Official podcast destinations
Listen to or Watch the NeuralAdX GEO & AI Search Strategy Podcast
Choose an official NeuralAdX podcast destination. Watch the video podcast on YouTube, listen through Apple Podcasts or Spotify, or open the Buzzsprout podcast hub for the hosted audio feed and episode archive.
The podcast is also distributed to additional podcast directories through Buzzsprout. This hub highlights the four primary official destinations for a cleaner listening experience.
Direct answer
What Is the NeuralAdX GEO & AI Search Strategy Podcast?
The NeuralAdX GEO & AI Search Strategy Podcast is an evidence-led podcast from NeuralAdX Ltd focused on Generative Engine Optimisation, AI search visibility and the practical factors that influence whether businesses and sources are retrieved, cited, mentioned and recommended in AI-generated answers.
Episodes connect practical optimisation guidance with live AI retrieval testing, benchmark data, AI visibility measurement, platform-specific analysis, technical GEO concepts, research and observed changes across AI search and answer engines. The aim is to explain what is happening in AI search in plain English while keeping claims tied to evidence, dates, methodology and clearly defined testing conditions.
Evidence before opinion
Why This GEO and AI Search Podcast Is Different
NeuralAdX Ltd does not treat GEO as a theory-only discipline. The podcast draws from a wider evidence system that includes live retrieval tests, repeated benchmark tracking, platform screenshots, transcript evidence, methodology pages and real commercial AI visibility testing.
LIVE RETRIEVAL TESTING
Observe what AI engines actually return
NeuralAdX Ltd has conducted ongoing live GEO proof testing since September 2025 to document retrieval, citation and source-surfacing behaviour over time.
ONGOING BENCHMARKING
Measure citations and answer visibility separately
The podcast can draw on two continuing benchmark programmes covering AI citations, brand visibility, coverage, position and share of voice.
UK BUSINESS AI VISIBILITY INDEX
Test real commercial queries
The NeuralAdX UK Business AI Visibility Index tests commercial prompts across five major AI platforms using a 15-metric AI visibility and citation assessment framework.
LONGITUDINAL VIEW
Track change rather than a single screenshot
Episodes distinguish time-specific observations from permanent claims and examine how visibility changes across prompts, platforms, runs and dates.
“AI visibility should be measured, not assumed. The purpose of this podcast is to test what AI engines actually retrieve, cite and recommend, then explain the findings in plain English.”
Paul Rowe · NeuralAdX Ltd
Editorial pillars
What the Podcast Covers
The podcast covers the full NeuralAdX GEO and AI search knowledge system rather than a narrow set of individual terminology topics. Episodes can move from strategy and measurement to platform mechanics, implementation, research and live evidence.
01 · STRATEGY
Generative Engine Optimisation and AI Search Strategy
GEO strategy, AI search optimisation, AI visibility, source eligibility, citation readiness, entity clarity, content architecture and how GEO overlaps with and differs from traditional SEO.
02 · RETRIEVAL
AI Retrieval, Citations and Recommendations
How AI systems discover, retrieve, evaluate and cite information; why sources are selected; brand mentions versus citations; recommendation behaviour; retrieval-to-citation processes and source authority.
03 · MEASUREMENT
AI Visibility Measurement and Benchmarking
AI citations, citation share, brand mentions, brand coverage, average brand position, share of voice, competitor benchmarking, prompt testing and methods for tracking visibility over time.
04 · PLATFORM STRATEGY
Platform-Specific AI Search Optimisation
The shared GEO principles and the different access, retrieval, search and citation environments that matter across ChatGPT, Google AI Mode, Gemini, Copilot, Claude, Perplexity and other AI systems.
05 · TECHNICAL GEO
GEO Definitions, Skills and Technical Concepts
Query fan-out, intent modelling, semantic relevance, passage-level retrieval, prompt surface coverage, trust calibration, structured data, recency, source diversity, authority, citations, statistics and quotations.
06 · RESEARCH & EXPERIMENTS
Research, Live Experiments and the Future of Search
Academic research, live AI experiments, crawler access, indexing, content freshness, prompt variation, run-to-run volatility and the continuing move from traditional search results towards AI-generated answers.
Platform coverage
AI Platforms and Answer Engines Covered
The podcast examines AI search and answer visibility across major and emerging platforms. NeuralAdX does not assume every platform retrieves or cites sources in exactly the same way; platform-specific episodes focus on the technical and strategic differences that matter.
ChatGPT
Search visibility, retrieval, citations and source usefulness.
Google AI Mode
Google Search-integrated AI retrieval and source selection.
Google Gemini
Gemini answer behaviour, brand understanding and retrieval context.
Microsoft Copilot
Bing-connected retrieval, answer visibility and source citation behaviour.
Perplexity
Citation-led answers, source attribution and AI research visibility.
Claude
Long-form answer interpretation, retrieval and source-aware reasoning.
Grok
Emerging AI answer behaviour, entities and source visibility.
Meta AI
Consumer AI discovery, web access and brand visibility.
DeepSeek
Entity interpretation, public-web understanding and emerging answer behaviour.
Evidence behind the discussion
The NeuralAdX GEO Evidence and Measurement System
Podcast episodes can link directly to the underlying evidence rather than asking listeners to accept unsupported performance claims. These pages document live retrieval testing, independent benchmark tracking, commercial-query testing and the methodology used to interpret the results.
LIVE PROOF
Proof That Generative Engine Optimisation Works
Screen-recorded AI retrieval tests, dated observations, screenshots and transcript evidence.
CITATION MEASUREMENT
AI Citation Benchmark
Ongoing comparison of domain citation quantity and citation share across monitored GEO agencies.
ANSWER VISIBILITY
AI Visibility and Share of Voice Benchmark
Tracks brand mentions, coverage, position and share of voice across AI-generated answers.
COMMERCIAL QUERY TESTING
UK Business AI Visibility Index
Tests real sector and buyer-intent queries across five major AI platforms using a 15-metric AI visibility and citation assessment framework.
Learn beyond the episode
Continue Through the NeuralAdX GEO Knowledge System
Every podcast topic should have a deeper evidence or learning route. These resources connect listeners to definitions, implementation skills, platform-specific guidance, methodology, research foundations and searchable transcripts.
GEO Explainer
Understand what Generative Engine Optimisation is and how it relates to AI search visibility.
11-Factor GEO Methodology
Review the NeuralAdX framework used to assess and improve GEO readiness.
Academic Foundations
See the research layer behind NeuralAdX methodology and GEO implementation principles.
GEO Glossary
Explore definitions for AI retrieval, citation, visibility and Generative Engine Optimisation terminology.
GEO Skills Hub
Practical tutorials covering citations, statistics, quotations, clarity, fluency, technical terms and authority.
AI Platform Optimisation Guides
Platform-specific guidance for ChatGPT, Google AI Mode, Gemini, Copilot, Perplexity, Claude and other AI systems.
Video Transcripts Hub
Searchable transcript evidence covering proof tests, benchmarks, glossary videos, skills and platform guidance.
Third-Party Mentions
Review independent references, external coverage and third-party verification connected to NeuralAdX Ltd.
PODCAST INTRODUCTION
Introducing the NeuralAdX GEO & AI Search Strategy Podcast
The launch introduction explains why NeuralAdX created the podcast, what Generative Engine Optimisation and AI search topics it will cover, and how ongoing live retrieval testing, benchmark programmes and the UK Business AI Visibility Index will inform future episodes.
As new episodes are published, this section can be expanded into the official episode archive with direct links to each episode page, video, audio and cleaned transcript.
LATEST EPISODE · EPISODE 1
Does Generative Engine Optimisation Actually Work: Live Benchmark Evidence & Verification
Listen to Episode 1 directly below, or open the dedicated episode page for the full cleaned transcript, chapter structure and supporting evidence.
Trust and methodology
Podcast Editorial Principles
Evidence is dated
AI results are described as observed outcomes at specific times, not permanent rankings.
Measurement is separated
Citations, mentions, position, coverage and share of voice are treated as different signals.
Claims need context
Testing conditions, platform differences and run-to-run variation are explained where they materially affect interpretation.
Practical over promotional
The objective is to explain AI search clearly and connect recommendations to evidence, research or practical testing.
CANONICAL HOST AND AUTHOR ENTITY
Hosted by Paul Rowe
Founder, Chief Generative Engine Optimisation Officer & CEO, NeuralAdX Ltd
Paul Rowe is a UK-based Generative Engine Optimisation specialist whose work at NeuralAdX Ltd focuses on AI citations, AI visibility measurement, structured data, entity clarity, proof-led GEO methodology, benchmark measurement and retrieval-first content architecture for generative AI answer engines.
The podcast connects Paul’s analysis to the wider NeuralAdX evidence system, including live AI retrieval testing, the 11-Factor GEO Methodology, academic foundations, AI citation and visibility benchmarks, platform optimisation guides, glossary resources, transcripts and the UK Business AI Visibility Index.
Answer-engine ready questions
Frequently Asked Questions About the NeuralAdX GEO & AI Search Strategy Podcast
What is the NeuralAdX GEO & AI Search Strategy Podcast?
It is an evidence-led podcast from NeuralAdX Ltd about Generative Engine Optimisation, AI search strategy, AI visibility, retrieval, citations, recommendations, measurement and platform-specific optimisation.
Who hosts the NeuralAdX podcast?
The podcast is hosted by Paul Rowe, Founder, Chief Generative Engine Optimisation Officer & CEO at NeuralAdX Ltd.
Which AI platforms does the podcast cover?
Coverage includes ChatGPT, Google AI Mode, Google Gemini, Microsoft Copilot, Perplexity, Claude, Grok, Meta AI, DeepSeek and other AI search and answer environments as they develop.
Is the podcast based only on GEO theory?
No. NeuralAdX combines research and practical guidance with live AI retrieval testing, ongoing AI citation and visibility benchmarks, transcript evidence and the UK Business AI Visibility Index.
Does the podcast cover AI visibility as well as Generative Engine Optimisation?
Yes. AI visibility measurement is a core theme, including citations, brand mentions, brand coverage, average position, share of voice, competitor benchmarking and repeated prompt testing.
Where can I watch or listen to the podcast?
The NeuralAdX GEO & AI Search Strategy Podcast is available through its official listings on
Will podcast transcripts be available?
The NeuralAdX publishing strategy uses cleaned, crawlable transcripts for video and evidence content. Podcast episode pages can connect the spoken episode to transcripts and semantically relevant glossary, methodology, skills, platform and proof resources.
FOLLOW THE EVIDENCE
Understand How AI Search Visibility Actually Works
Follow the NeuralAdX GEO & AI Search Strategy Podcast for evidence-led discussion of Generative Engine Optimisation, AI retrieval, citations, recommendations, benchmarking, platform strategy and the changing future of search.
NeuralAdX Ltd · Generative Engine Optimisation · GEO · AI Search Strategy · AI Visibility