Mastering GEO Techniques: NeuralAdX Ltd Success Story!

Introduction: What counts as proof (and why this qualifies)

There’s a lot of noise around GEO. What matters is evidence you can check. We ran a live, single-take screen recording of a clear buyer question—“What is the cost of generative engine optimisation in the UK?”—across four AI answer engines: ChatGPT, Perplexity, Microsoft Copilot (Bing), and Google AI Mode. Three engines cited our pricing page first; Google AI Mode cited it third. We published the recording and screenshots so anyone can verify the outcome. That openness is deliberate: if proof can’t be inspected, it isn’t proof. (Neural Adx)

It’s also important to say this didn’t happen overnight. We’ve applied GEO techniques consistently for nearly six months—tightening clarity, improving structure, updating examples, adhering to the core GEO techniques and keeping the website current. We believe that steady cadence contributed meaningfully to these results. If you’re hoping for a one-week turnaround with no iteration, that isn’t realistic. GEO rewards consistency and care.

The experiment: One commercial question, four AI engines

We chose a buyer-intent query with explicit regional context (“in the UK”). That forced the engines to prioritise sources that are:

• Explicit about UK pricing and practical constraints
• Structured for clean extraction (so the model can lift the right lines and numbers)
• Useful enough to support an AI-generated answer people would actually act on

We didn’t use brand-leading prompts or tricks. Neutral phrasing. Single take. No cuts. If content stands up to that, it’s fit for real users.

Results and The Video Proof itself

• ChatGPT: cited our page #1
• Perplexity: cited our page #1
• Microsoft Copilot (Bing): cited our page #1
• Google AI Mode: cited our page #3

Different engines reached the same conclusion about the source. That cross-engine agreement is why we consider this strong, reproducible signal rather than a lucky screenshot. The proof GEO works page includes the unedited recording and four labelled screenshots so others can run the same question and compare their results over time. 

Why these results matter (without the hype)

Cross-engine convergence. When independent systems with different retrieval stacks select the same page, you’re looking at durable signals—clarity, structure, and usefulness—not prompt gymnastics.

Commercial intent. We targeted a pricing question that actual buyers ask. Winning here has real-world value; it’s not a vanity term.

Replicability. Anyone can rerun the query. If rankings change later, that will be visible too. Evidence should be testable and time-stamped, not a single flattering screenshot. 

Cadence over stunts. The honest story is steady work. effort filled, regular GEO improvements over months typically outperform sporadic overhauls.

The page that was cited (and what’s on it)

The cited asset is our Generative Engine Optimisation Pricing UK page (last reviewed Sep 17, 2025). It lays out transparent packages, inclusions, and bundle maths:

• Core GEO: £80–£120 per page
• Pro GEO: £2,000/month (with a 3× AI search visits in 6 months guarantee)
• Elite GEO: £5,000/month (same guarantee)
• SEO tiers: £500 / £1,000 / £2,000 per month
• 10% discount when Pro or Elite GEO is bundled with any SEO plan

We show worked examples so the discount is crystal clear, and we keep the “Last Reviewed” date visible because pricing pages age quickly. (Neural Adx)

Methodology: How we recorded and why it’s fair

• Prompt: “What is the cost of generative engine optimisation in the UK?”
• Style: Neutral phrasing; no brand mentions
• Recording: Single take, no edits; full answer panels in view so citations are visible
• Platforms: ChatGPT, Perplexity, Microsoft Copilot (Bing), Google AI Mode
• Artifacts: A public page with the complete video and four labelled screenshots for independent review 

No shortcuts. If a method relies on fragile prompts or selective cropping, it won’t generalise. We chose a process that other teams can repeat exactly.

The practical tactics behind the win

We tried to build the page we’d want to read if we were the buyer—and then refined it over months.

1. Answer first, elaborate second. The opening block states ranges, cost drivers, and the guarantee upfront. Models overweight the first 100–150 words; humans appreciate it too.
2. Structure for extraction. One clear H1. H2s that mirror the questions people ask (packages, inclusions, guarantees, bundles). Bullets and tables for numbers and trade-offs. This lets the engine lift the right facts without guessing.
3. Region specificity. The question is UK-specific, so the page is UK-specific—numbers, terminology, and context.
4. Concrete policies. The 3× visits guarantee and the 10% bundle discount give both readers and engines tangible claims to cite, supported by worked totals. 
5. Recency and stewardship. A visible “Last Reviewed” date—and actually maintaining it. GEO is not “set and forget.” 
6. Six-month cadence. We implemented consistent GEO application and AI content alignment first, constant content checking for GEO optimisation, improving technical aspects, refining examples, and updating where needed in accordance with industry changes. This mode of operating is a key part of the outcome we believe—not a footnote.

How to replicate this (step-by-step)

1. Choose a buyer question you’re willing to answer plainly—costs, timelines, trade-offs—and align it to the right region.
2. Write the page you wish existed when you were buying: exact ranges, what affects them, inclusions/exclusions, simple worked examples and always be transparent which is one element we love that AI algorithms encourage.
3. Make it extractable: one H1; H2s that map to real sub-questions; short, declarative sentences with conversational tone; bullet points and tables for the specifics.
4. State concrete, time-bound policies if you have them (e.g., guarantees, SLAs, discounts) and show the maths as AI appreciates detail.
5. Add a review date and keep it current; stale pricing undermines trust and AI wants a industry enthusiast.
6. Run a four-engine test once the page is live, send URL for indexing on Google search console, allow five days to be indexed, Record a single take, publish the video and screenshots, and invite peers to replicate. 
7. Commit to a cadence for at least six months, resolutely apply the core seven GEO implementations to your website. Do this multiple times a week for regular improvements as this compounds a positive reputation in the directives of AI algorithms.

What we’re improving next

• A sharper opener that surfaces the ranges, drivers, and guarantee in the very first screen of text.
• A compact comparison table mapping “package → hours → key upgrades → expected outcomes” to give engines cleaner extraction targets.
• A small “bundle scenarios” panel with before/after totals at a glance (Pro GEO + Pro SEO; Elite GEO + Core SEO). 
• A brief change log near the “Last Reviewed” line so both readers and crawlers can see a history of stewardship.
• Continuing the monthly GEO cadence—solid content application, careful updates and a continuous awareness of user intent.

Integrity note: what this proof does and doesn’t show

This result shows that well-structured, constantly maintained GEO content over many months can earn consistent citations across multiple AI generative engines for a commercial UK query. It does not guarantee identical outcomes for every topic, brand, or market as there is of course so many factors to consider. Retrieval layers evolve, competition shifts, and latest information getting superseded to list a few. That’s why we published the full screen recording and screenshots, encourage replication, and to keep augmenting your websites content with any new AI preferences. Our claim is accurate, honest and in accordance with our unique online position at this time. This is a verifiable example of GEO working in the wild which backs up the academic proof published by researchers at Princeton University 

Frequently Asked Questions (FAQ)

Does this prove GEO works or just that one page is strong?
It demonstrates that by implementing a significant effort in GEO ( applying the 7 core factors and more) your content will have all the key ingredients to be selected across multiple AI platforms  as the answer to a users query. This is live evidence shows the world that GEO has evolved from a proven academic study, to a verified real world strategy that delivers results. 

Why third on Google AI Mode instead of first?
Engines weigh signals differently (source diversity, familiarity, freshness thresholds, retrieval constraints). Third is a solid position; our planned improvements aim to nudge that higher without gaming the system.

Is the 3× AI search visits guarantee real?
Yes. Pro and Elite GEO include a 3× AI search visits in 6 months guarantee; if the target isn’t reached, we continue at no extra cost until it is. Details are on the pricing page. 

Can I purchase SEO without GEO?
Yes. SEO tiers are available standalone. Bundling Pro/Elite GEO with any SEO plan applies a 10% discount, and we show worked examples so totals are unambiguous.

How long until I see movement if I try this?
If your website is GEO compliant, the page truly answers the question better than the competition and is structured for extraction, you can see traction quickly. Sustained cadence of GEO on your website over many months will stabilise and improve your position over time as engines re-crawl.

Closing thoughts & next steps

We’re grateful for the interest in this work and take the responsibility seriously. Our aim is to be transparent, practical, and fair-minded. The single-take recording shows a consistent pattern across four engines citing one pricing page with UK-specific numbers, clear policies, and ongoing maintenance. That’s evidence you can verify—and it’s why we can say, with humility and confidence, that this is a real instance of GEO working in practice. If you want to pursue the same standard of proof in your market, the playbook above is yours to use. If you prefer a hand, we can scope, build, and document an equivalent test—end-to-end, in the open.