NeuralAdX Ltd · UK Generative Engine Optimisation Agency

Generative Engine Optimisation Services (GEO) for AI Search

Evidence-led GEO services designed to improve how your business is found, understood, cited, mentioned and recommended across major AI platforms and answer engines.

NeuralAdX Ltd combines AI visibility assessment, crawlability and retrieval checks, continuous competitor benchmarking, live AI answer analysis, evidence-led website optimisation, external authority development and repeated AI retrieval testing — so improvement is measured rather than assumed.

GENERATIVE ENGINE OPTIMISATION SERVICES

A measurable GEO service for improving visibility inside AI-generated answers

Generative Engine Optimisation (GEO) services improve and measure how a business is discovered, understood, cited, mentioned and recommended in AI search and generative answer systems. The US spelling, Generative Engine Optimization, refers to the same discipline.

Our service combines technical retrieval checks, AI citation and answer-visibility benchmarking, live answer evidence analysis, content and entity improvements, external evidence development and repeated retrieval testing. SEO fundamentals remain important; GEO adds direct measurement of how generative systems actually retrieve and represent the business.

PUBLIC GEO PERFORMANCE EVIDENCE · LATEST PUBLISHED PERIOD

Measured against established UK GEO service agencies

The latest published benchmark period is 24 June 2026–23 July 2026. Results below are period-specific Otterly.ai measurements for a fixed UK GEO-service comparison set. They are not organic Google rankings, traffic, leads or revenue.

AI CITATION BENCHMARK

#1 in the latest published period

1,333AI citations
13%citation share
73%domain coverage

NeuralAdX Ltd is shown #1 in all eight currently published monthly citation periods in this fixed comparison.

View full benchmark evidence ↗

AI ANSWER VISIBILITY & SHARE OF VOICE

#1 across all five tracked Month 8 outputs

183brand mentions
29%Share of Voice
16%brand coverage
1.32average brand position

NeuralAdX Ltd moved from #5 in Month 1 to #1 in Months 3–8 in the published visibility benchmark.

View full visibility benchmark ↗

Evidence standard: benchmark pages contain crawlable tables, screenshots, methodology notes and screen-recorded validation where available. Results should be read within their stated prompt set, platforms, comparison group and reporting window.

WHAT THE SERVICE INCLUDES

What our Generative Engine Optimisation services include

The exact depth depends on the agreed package and evidence gap. These are the core areas the NeuralAdX GEO process can measure or improve.

AI Visibility Assessment

Live testing of the commercial questions your prospects may ask AI systems, plus an initial 11-Factor GEO diagnostic.

AI Citation Benchmarking

Measure domain citations, citation coverage and relative citation position across monitored AI responses.

AI Answer Visibility & Share of Voice

Track brand mentions, coverage, average position, Share of Voice, ranking and sentiment against competitors.

AI Retrieval Analysis

Inspect the real answers, cited sources, surfaced brands and supporting passages for agreed commercial prompts.

Crawlability & Indexability

Check crawling, indexing, canonicals, access, XML sitemaps and page availability before content changes.

Entity & Semantic Optimisation

Clarify who the business is, what it does, its services, expertise, relationships and important attributes.

Content & Passage Optimisation

Strengthen the sections AI systems need to retrieve, understand, quote, compare or use as supporting evidence.

Structured Data & Schema

Use appropriate structured data where it helps search systems understand entities and visible page content.

Citation & Evidence Enrichment

Add relevant citations, statistics, quotations, facts and verifiable proof where they improve specificity.

Internal Linking

Connect priority pages with clear contextual links so important commercial and evidence pages are easier to discover.

Author & Authority Signals

Make accountable authorship, relevant expertise, provenance and evidence clearer on important content.

Third-Party Evidence Development

Strengthen credible independent references, editorial mentions, specialist sources and other corroborating evidence where needed.

AI Platform Optimisation

Prioritise the AI platforms and answer engines that matter to the client rather than treating every platform as identical.

Live AI Retrieval Retesting

Run the same agreed prompts again after changes have been crawled and retrieved to observe what changed.

Continuous Competitor Benchmarking

Keep the same competitor set under measurement so gains or losses are visible throughout the engagement.

WHO THIS GEO SERVICE IS FOR

Use GEO when the AI answer itself has become part of the buying journey

The service is designed for businesses that need to understand and improve what AI answer engines retrieve, cite and say about them — especially where competitors are already being surfaced.

Your brand is absent

Competitors appear in AI answers while your business is missing.

AI describes you weakly

Your company appears, but important services, expertise or differentiators are omitted.

Competitors are cited instead

AI systems use competitor or third-party pages as evidence while your domain receives little citation visibility.

Your website is hard to retrieve

Important pages may be blocked, poorly linked, weakly indexed or difficult to interpret in context.

You cannot measure progress

You have no stable baseline for citations, mentions, coverage, Share of Voice or competitor movement.

Your evidence is fragmented

Useful facts exist, but they are not presented clearly enough on your site or corroborated externally.

GEO, SEO & AEO

How Generative Engine Optimisation differs from SEO and AEO

They overlap rather than replace one another. Google explicitly states that SEO best practices remain foundational for its generative AI features. GEO adds measurement and optimisation around retrieval, citation and representation inside generated answers.

Mobile users: scroll horizontally.

AreaSEOAEOGEO
Main objectiveSearch visibility, rankings and qualified trafficClear direct-answer visibility and answer extractionAI answer inclusion, citations, mentions and recommendation visibility
Primary surfacesTraditional and AI-enhanced search resultsDirect answers, snippets and answer-oriented interfacesGenerative AI search and answer engines
Typical workTechnical SEO, content, links, intent and page experienceDirect definitions, question answering and extractable structureRetrieval, entities, evidence, citations, source support and answer testing
MeasurementRankings, clicks, impressions, traffic and conversionsAnswer appearances and extracted-answer visibilityCitations, mentions, coverage, position, Share of Voice and live answer change

SERVICE PROVIDER & ENTITY CONTEXT

Who provides the GEO service?

ProviderNeuralAdX Ltd
ServiceGenerative Engine Optimisation Services
SpecialismGEO, AI visibility, AI citations and AI retrieval analysis
MethodologyNeuralAdX 11-Factor GEO Methodology
MeasurementContinuous AI citation and answer-visibility benchmarking plus live retrieval testing
Lead specialistPaul Rowe — Founder, Chief Generative Engine Optimisation Officer & CEO

Page test version updated 31 August 2026.

THE SERVICE AT A GLANCE

Your GEO & AI Visibility Service at a Glance

Start with a Free AI Visibility Assessment: a cursory visual check against our 11-Factor GEO Framework plus live AI retrieval testing using your top 5 commercial-intent prompts. If you choose to proceed with a GEO service plan, the remaining stages begin: retrieval checks, continuous competitor benchmarking, AI answer analysis, GEO optimisation, external evidence development, live retesting and ongoing improvement.


NeuralAdX Generative Engine Optimisation and AI Visibility Service 9-step process showing free AI visibility assessment, benchmarking, evidence analysis, GEO optimisation and AI retrieval retesting.
9-step visual overview: from the Free AI Visibility Assessment to ongoing recursive improvement. Click the image to enlarge.

 
1

STAGE 1

Discover the current AI visibility signal

Free AI Visibility Assessment

You choose your top 5 commercial-intent prompts — the questions that matter most to your business and that potential customers may ask AI platforms.

We run those prompts through live AI retrieval testing to see whether your business is visible, how it is represented and where it appears across the relevant AI platforms.

We also carry out a cursory visual check against our 11-Factor GEO Framework to flag obvious areas that may be limiting AI visibility. This is an initial diagnostic check, not a full paid GEO implementation.

We then report the findings back to you, discuss the AI visibility goals you want to achieve and identify the areas where GEO may help.

The KDD paper formalised GEO visibility measurement and introduced a benchmark of user queries and source visibility. It supports the measurement principle behind live prompt assessment; it does not imply a guaranteed ranking outcome.

The Free AI Visibility Assessment is a diagnostic only. It does not include competitor benchmarking or ongoing benchmark tracking. If you decide to proceed, we agree the appropriate GEO service plan and Stages 2–9 begin.

 
2

STAGE 2

Make the evidence retrievable

Crawlability & Retrieval Check

Before optimising content, we check whether your important pages can be properly accessed, understood and retrieved by search engines and AI systems.

This includes technical factors such as crawling, indexing, internal linking, sitemaps, structured data and page accessibility. If AI systems cannot efficiently retrieve your content, content optimisation alone may not be enough.

CrawlingCheck whether important pages can be accessed by relevant crawlers.
IndexingCheck whether priority pages are discoverable in search indexes where measurable.
Internal LinkingMake important pages easier to discover and understand in context.
SitemapsConfirm priority URLs are represented correctly in XML sitemaps.
Structured DataReview machine-readable signals that help clarify entities and content.
Page AccessibilityIdentify rendering, canonical, status or access problems that can obstruct retrieval.

These papers support the core retrieval principle: answer generation can depend on finding and using relevant passages. They do not claim that any one sitemap, schema field or crawler setting guarantees AI inclusion.

3

STAGE 3

Continuous measurement layer

Continuous AI Benchmarking Begins

From Day 1 of your GEO engagement, we set up and continuously measure your business and your agreed top 5 competitors using two separate benchmarks. The first 7 days establish your pre-optimisation baseline. The benchmarking then continues throughout the entire engagement.

Both studies reinforce systematic benchmarking and diagnostic measurement. NeuralAdX’s commercial competitor benchmark is our own implementation, not a benchmark created by either paper.

AI Citation Benchmarking

This measures how often AI systems use your website as a source.

Domain CitationsHow many citations the monitored domain receives across tracked AI responses.
Domain CoverageThe proportion of monitored prompts in which the domain appears as a cited source.
Domain RankingThe domain’s relative citation position across the monitored data.

AI Answer Visibility & Share of Voice Benchmarking

This measures how visible your brand is inside AI-generated answers.

Brand MentionsHow often your brand appears across monitored AI responses.
Brand CoverageThe percentage of monitored prompts in which your brand appears.
Avg. Brand PositionYour average position within AI answers when your brand appears.
Share of VoiceYour proportion of Brand Mentions across the monitored competitive set.
Brand RankingYour relative brand position against the tracked competitors.
Brand SentimentHow positively, neutrally or negatively AI systems describe your brand.

AI platforms included in our primary benchmarking

Our primary AI benchmarking can measure visibility and citation performance across ChatGPT, Google AI Mode, Claude, Microsoft Copilot, Google Gemini, Perplexity and Google AI Overview.

Other platforms such as Meta AI, DeepSeek, Grok and additional AI answer engines can also be benchmarked where required using alternate AI citation tracking software.

LATEST PUBLISHED BENCHMARK REPORTING · MONTH 8

Latest Month 8 benchmark screenshots and validation evidence

The latest published period is 24 June 2026–23 July 2026. The screenshots below show the corresponding Otterly.ai evidence. Full benchmark pages also contain crawlable tables, screen-recorded validation and methodology notes.

AI Citation Benchmark · Month 8

#1 · 1,333 AI citations · 13% citation share · 73% domain coverage.

NeuralAdX Ltd Month 8 AI Citation Benchmark Otterly.ai screenshot showing 1,333 AI citations and 13 percent citation share

Otterly.ai screenshot evidence for 24 June 2026–23 July 2026.

Full benchmark + validation video ↗

AI Answer Visibility & Share of Voice · Month 8

#1 · 183 brand mentions · 29% Share of Voice · 16% coverage · 1.32 average position.

NeuralAdX Ltd Month 8 AI Answer Visibility and Share of Voice Otterly.ai screenshot showing 183 brand mentions and 29 percent Share of Voice

Otterly.ai screenshot evidence for 24 June 2026–23 July 2026.

Full benchmark + validation video ↗

4

STAGE 4

Live AI Answer Evidence Capture

During the initial 7-day pre-optimisation baseline, we also run your priority prompts across relevant AI platforms and capture the actual answers being returned.

Brands surfacedWhich businesses appear in the answer.
PositionWhere brands appear and how prominently they are presented.
AI descriptionsWhat the AI system actually says about each business.
AttributesWhich qualities, services, expertise or differentiators are mentioned.
ClaimsWhich factual propositions or recommendations are made.
CitationsWhich sources, domains and webpages are cited to support the answer.

This gives us real evidence from the AI answers you want your business to appear in.

PUBLISHED LIVE AI RETRIEVAL EVIDENCE

Our live AI retrieval testing has been published by The AI Journal

NeuralAdX Ltd’s time-separated case study covering persistent AI visibility across major AI answer engines was published by The AI Journal, providing independent publication of our live retrieval evidence and testing approach.

5

STAGE 5

AI Answer Evidence Analysis

We analyse those answers to understand what information and evidence are associated with stronger visibility.

Explore how our AI Answer Evidence Analysis works

Prompt intentWhat the target question is really asking the AI system to resolve.
Brands & entitiesWhich organisations, people, services or products are being surfaced.
Important attributesWhich qualities or characteristics are repeatedly associated with stronger results.
Claims & factsWhich factual statements appear important enough for the AI answer to include.
Competitor strengthsWhat evidence exists around stronger competitors that helps AI systems describe or recommend them.
Cited sourcesWhich sources and domains the answer relies on visibly.
Supporting passagesWhich source passages appear to support important claims in the generated answer.
Missing client informationWhat useful facts or evidence are not represented clearly enough for your business.
Weak or unclear evidenceWhere true claims lack clarity, specificity, proof or retrieval-friendly presentation.
Third-party corroborationWhere independent evidence could strengthen how the business is understood and represented.

The aim is not to copy competitors.

The aim is to identify what useful information AI systems can currently retrieve about them that they cannot retrieve as clearly about your business.

The result is a clear AI Answer Evidence Gap that tells us what should be improved.

6

STAGE 6

Evidence-Led GEO Optimisation

Once the initial 7-day pre-optimisation baseline has been established and the AI Answer Evidence Analysis is complete, we improve your website based on the evidence found.

The NeuralAdX 11-Factor GEO Methodology is used to strengthen the areas relevant to the evidence gap.

KDD 2024 experimentally tested interventions including source citations, quotation addition, statistics, fluency, easy-to-understand language, technical terms and authoritative framing. The NeuralAdX 11-Factor framework extends beyond those tested factors, so we do not present all 11 as originating from that paper.

CitationsSupport important claims with relevant source evidence.
StatisticsUse factual numerical evidence where it improves specificity and support.
QuotationsAdd credible quotations where they strengthen evidence and attribution.
ClarityMake important information direct, specific and easy to understand.
FluencyImprove structure, readability and passage-level usability.
AuthorityStrengthen expertise, provenance and credibility signals.
SchemaImprove machine-readable understanding where appropriate.
RecencyKeep important factual and commercial information current.
Author ExpertiseMake relevant expertise and accountability clearer.
Source DiversityUse appropriate supporting evidence from more than one source type where needed.
Technical TerminologyUse accurate specialist language where it helps define the subject precisely.

We only apply changes that are relevant to the gaps identified. This means the optimisation is based on real AI answer evidence, rather than generic GEO recommendations.

7

STAGE 7

External Evidence Development

Sometimes the problem is not the client’s website.

AI systems may rely heavily on independent sources when deciding how to describe or recommend a business. Where necessary, we identify opportunities to strengthen external evidence through relevant sources.

PublicationsRelevant independent editorial or specialist coverage.
Industry SourcesTrade and sector evidence that helps corroborate expertise or standing.
ReviewsLegitimate customer or stakeholder review evidence where relevant.
DirectoriesAppropriate third-party listings that clarify entity information and presence.
Expert ReferencesCredible external expert references or commentary.
Third-Party CitationsIndependent webpages that substantiate important claims or relationships.
Independent VerificationExternal evidence that supports claims the business makes about itself.

This helps strengthen the wider evidence available about your business beyond your own website.

8

STAGE 8

Live AI Retrieval Retesting

After the changes have had time to be crawled and retrieved, we run the same priority prompts again.

We compare the new answers with the original results and look for evidence of change.

The 2026 critical survey recommends repeated measurements and controls because generative-engine outputs are stochastic and can vary by run and platform.

Brand VisibilityIs the business appearing more consistently in the target answers?
Brand PositionHas prominence or position within answers improved?
Brand MentionsAre new or more frequent brand mentions appearing?
Domain CitationsAre new citations or cited client URLs appearing?
Recommendation LanguageHas the way the AI describes or recommends the business changed?
Associated AttributesAre stronger or more accurate attributes now being connected with the business?
Brand SentimentHas the tone of AI descriptions changed?
Competitor AdvantageHas the visible gap between the client and competitors reduced?

9

STAGE 9

Ongoing Recursive Improvement

Both benchmarking systems continue running while new AI answers, citations and competitor movements create fresh evidence. We use those results to decide the next improvement, then repeat the analysis, optimisation and retesting cycle.

Continuous benchmark analysis feeds the next optimisation cycle

Citation Performance

  • Domain Citations
  • Domain Coverage
  • Domain Ranking

AI Answer Visibility

  • Brand Mentions
  • Brand Coverage
  • Avg. Brand Position
  • Share of Voice
  • Brand Ranking
  • Brand Sentiment

Your business remains continuously compared with the same top 5 competitors. We measure the results, identify the next evidence gap, improve again and repeat the cycle.

9-stage evidence loop

The GEO Process in Simple Terms

A measured loop: establish what AI systems currently retrieve and say, identify the evidence gap, improve the relevant signals, then retest the same commercial prompts and feed the new evidence into the next cycle.

 
1Discover

Free AI Visibility Assessment

Test your top 5 commercial-intent prompts and run a cursory 11-Factor GEO check to establish what AI systems currently surface.

Academic basis · KDD 2024 GEO-Bench

 
2Retrieve

Crawlability & Retrieval Check

Check whether priority pages can be accessed, discovered and retrieved before relying on content optimisation alone.

Academic basis · NeurIPS 2020 RAG

 
3Measure

Continuous AI Benchmarking

From Day 1, track citation performance and AI answer visibility against the agreed top 5 competitors; use the first 7 days as the pre-optimisation baseline.

Academic basis · NeurIPS 2024 RAGChecker

 
4Capture

Live AI Answer Evidence

Capture the actual brands, positions, claims, attributes and citations returned for the priority prompts.

Academic basis · SIGIR 2026

 
6Optimise

Evidence-Led GEO Optimisation

Apply only the relevant 11-Factor improvements shown by the evidence gap, rather than generic GEO changes.

Academic basis · KDD 2024 GEO

 
7Corroborate

External Evidence Development

Where the gap sits outside the client website, strengthen legitimate third-party evidence and independent corroboration.

NeuralAdX service step

 
8Retest

Live AI Retrieval Retesting

Run the same priority prompts again after changes have had time to be crawled and retrieved, then compare with the original answers.

Academic basis · 2026 GEO survey

◆ Academic evidenceResearch cited across the process

These sources support specific mechanisms such as retrieval, benchmarking, citation selection, content interventions and repeated evaluation. They do not claim that NeuralAdX, or any GEO provider, can guarantee fixed AI rankings.

In one sentence

We continuously measure how your business performs in AI search, analyse the real answers you want to appear in, identify what information and evidence are missing, optimise those gaps, and then retest to measure whether your AI visibility improves.

ACADEMIC & OFFICIAL SEARCH EVIDENCE

Why the process uses retrieval, evidence, measurement and repeated testing

These sources support specific mechanisms within the process. They do not prove that any agency can guarantee a fixed ranking or that one optimisation tactic works identically across every AI platform.

GOOGLE SEARCH CENTRAL · 2026

SEO remains foundational for Google’s generative AI features

Google says AI Overviews and AI Mode use normal Search eligibility and that there are no additional technical requirements. It recommends crawlability, internal links, good page experience, textual content and structured data that matches visible content.

Google AI features guidance ↗

ACM KDD 2024 · PEER-REVIEWED CONFERENCE PAPER

GEO: Generative Engine Optimization

Aggarwal et al. introduced GEO and GEO-Bench, reporting visibility improvements of up to 40% in their experimental generative-engine setting while also showing that strategy effectiveness varies by domain.

Princeton publication record · DOI 10.1145/3637528.3671900 ↗

ACM SIGIR 2026 · PEER-REVIEWED CONFERENCE PAPER

What Gets Cited: Competitive GEO in AI Answer Engines

Vishwakarma, Kumar and Jamidar ran 252,000 controlled paired trials across six LLMs. Topical relevance and list position were the largest drivers of first-citation selection; explicit price and recency also helped consistently in the controlled post-retrieval setup.

ACM SIGIR 2026 · DOI 10.1145/3805712.3808445 ↗

ARXIV 2026 · PREPRINT

Citation selection and citation absorption are different outcomes

Zhang, He and Yao analyse citation selection separately from how strongly a cited page contributes to the final answer. The paper supports measuring more than citation count alone, but it is a preprint rather than a peer-reviewed publication.

arXiv:2604.25707 ↗

Interpretation: the research supports testing retrieval, topical relevance, evidence quality, citation behaviour and repeated measurements. It does not support pretending that formatting alone guarantees citations or that GEO replaces SEO.

GEO SERVICE PRICING

How much do NeuralAdX Generative Engine Optimisation services cost?

Current package snapshot for buyer clarity. Paid prices exclude VAT. The dedicated pricing page remains the source of truth for current scope, eligibility and terms.

Free AI Visibility Test

FreeDiagnostic visibility snapshot.

GEO Visibility Boost

£450 + VAT/monthTracked entry-level improvement.

GEO Growth

£1,250 + VAT/monthDeeper implementation and foundations.

GEO Authority

£5,000 + VAT/monthAdvanced citation, authority and retrieval support.

GEO Market Leader

£10,000 + VAT/monthCategory-level AI visibility campaign.

Compare GEO packages ↗

BUYER QUESTIONS & AI SEARCH QUERY COVERAGE

Generative Engine Optimisation Services FAQ

Direct answers to the questions businesses commonly ask before choosing a GEO service.

What are Generative Engine Optimisation services?

Generative Engine Optimisation services improve and measure how a business is discovered, understood, cited, mentioned and recommended inside AI-generated answers. A complete GEO service can include retrieval checks, answer analysis, entity and content optimisation, citation-ready evidence, competitor benchmarking and repeated AI testing.

What does a Generative Engine Optimisation agency do?

A GEO agency measures where a client currently appears across relevant AI answers, identifies the information and evidence associated with stronger visibility, improves retrieval and content gaps, strengthens external evidence where necessary, then retests the same commercial prompts to measure change.

How is GEO different from SEO and AEO?

SEO remains foundational for search visibility and for Google AI features. AEO focuses on clear direct-answer extraction. GEO adds specific work around generative retrieval, citations, entity representation, AI answer visibility and repeated testing across AI answer engines. The disciplines overlap rather than replace one another.

How much do Generative Engine Optimisation services cost?

NeuralAdX Ltd currently starts with a Free AI Visibility Test. Paid packages are GEO Visibility Boost at £450 + VAT/month, GEO Growth at £1,250 + VAT/month, GEO Authority at £5,000 + VAT/month and GEO Market Leader at £10,000 + VAT/month. The dedicated pricing page contains the current package scope and terms.

How long does GEO take to produce measurable results?

There is no universal fixed timeframe. Our paid process establishes an initial seven-day pre-optimisation benchmark baseline, but search engines and AI systems then need time to crawl, index, retrieve and reflect changes. That can vary by site, platform and query, so progress is measured continuously rather than promised by a fixed date.

Which AI platforms can your GEO service measure?

Primary benchmarking can cover ChatGPT, Google AI Mode, Claude, Microsoft Copilot, Google Gemini, Perplexity and Google AI Overview where supported by the selected tracking setup. Other answer engines can be assessed with alternate tracking or live retrieval testing where appropriate.

How do you measure AI visibility and AI citations?

We separate citation performance from answer visibility. Citation benchmarking measures domain citations, domain coverage and relative citation position. AI answer visibility benchmarking measures brand mentions, brand coverage, average brand position, Share of Voice, brand ranking and sentiment. Live answer tests then show what the systems actually say and cite.

Can GEO improve visibility in ChatGPT and Google AI Mode?

GEO can target the information, evidence, retrieval and authority signals relevant to appearing in generative answers, but no legitimate provider can guarantee a fixed position in ChatGPT, Google AI Mode or another AI system. We measure whether visibility, citations and representation improve over repeated tests.

Do backlinks and third-party mentions matter for GEO?

Independent evidence can matter, but the objective is not simply to acquire more links. Relevant editorial coverage, expert references, reviews, directories, citations and other corroborating sources can help clarify or substantiate important facts about a business when those sources are retrievable and credible.

What makes NeuralAdX different from a traditional SEO agency offering GEO?

The service is built around direct AI evidence and continuous benchmarking rather than treating GEO as a rename of SEO. NeuralAdX publishes its own ongoing third-party Otterly.ai citation and answer-visibility benchmarks, uses live retrieval testing, applies an 11-Factor GEO Methodology, and links claims to screenshots, tables, recordings and methodology notes where available.

FREE
AI Visibility Assessment

NeuralAdX Ltd

Request Your Free AI Visibility Assessment

Initial website check against our 11-Factor GEO Framework plus 5 Live AI Retrieval Tests.

Find out whether AI recommends your business, cites your website, prefers competitors — or leaves your business invisible in AI answers.

11
11-Factor GEO Framework
Checked
5
Commercial AI Prompts Tested

Start With A Free Assessment

Call NeuralAdX Ltd or send your assessment request by email.

Emailing Your Request?

For your convenience, your email is already prepared with simple placeholders. Just add your website URL, best contact number, 5 priority AI prompts and any useful information.

Initial assessment only No obligation Serious business enquiries answered within one UK business day View live AI retrieval proof