Sora 2 and AI Search: How AI is changing creatives, traffic and online tools

Over the past year, traffic arbitrage has gone through two major shifts. On one side, OpenAI released Sora 2 – a video model capable of producing short clips with voiceover and realistic physics from a single prompt. In parallel, the mobile Sora app appeared – a TikTok-style feed where every piece of content is generated by AI.

On the other side, search engines have begun reshaping how results are displayed. AI summaries, AI Overviews, AI Mode, assistants like ChatGPT and Perplexity – all of this drives the growth of zero-click queries. Users get their answers directly in the search results and stop clicking on websites.

For a media buyer, this is no longer background noise – it’s the environment where creatives, landing pages, spend and payouts now exist. In previous Pay2.House materials – “2025 – The Year of AI and Automation: Top Services for Traffic Arbitrage” and “AI and Automation in Arbitrage: Media Buying Without Intuition” – we showed how AI eliminates manual routine. In this article, we look at the next layer: video generation through Sora and search through AI-answers.

What’s happening: Sora and AI Search

Sora 2 is not “just another AI video tool”, but a text-to-video model from OpenAI that can:

• generate 10–12 second clips with realistic lighting, camera work, and motion;
• add sound and dialogue – producing a ready-to-use clip;
• handle characters and environments so well that some results already rival mid-tier production.

The mobile Sora app is another story. It’s basically TikTok built entirely from generated videos: vertical feed, remixes, and a Cameo-style feature where you record yourself once and can later be inserted into any generated scene.

At the same time, Google is testing new AI-driven search modes. Instead of “10 blue links”, users now see an AI summary first – only then organic results. More and more queries become zero-click.

For buyers, the picture looks like this:

• AI-generated creatives – both yours and competitors' – are taking up more space in feeds;
• AI-generated answers dominate search instead of SEO pages;
• a separate budget category is forming: AI tools, generations, antidetect browsers, proxies.

If you don’t systemize all this, the classic scenario happens: “AI is everywhere, but the money isn’t”.

Problem #1: AI creatives look great but don’t always convert

Teams fell into the same trap: “If Sora makes it beautiful – it should convert”.

Typical AI-video issues:

• unnatural character movement – floating or sliding through the frame;
• hands and fingers often look wrong – extra joints, incorrect anatomy;
• plastic-looking faces and skin;
• broken physics for water, fabric, objects;
• small details (signs, reflections, watches) destroy trust.

Users read this instantly as “something feels off” – and simply don’t click.

Pay2.House tip: treat Sora 2 as a draft factory. Generate a batch of 10–20 videos per offer angle. About 70% will be discarded before tests. Only clips that pass the visual check (motion, hands, faces, physics) go into launch.

Problem #2: AI search cuts organic traffic and breaks old SEO

Relying on SEO alone no longer works.

Google and other engines are shifting toward AI-first search results. Users get information directly at the top and rarely scroll to links.

Practical consequences:

• zero-click queries grow rapidly;
• brands must be visible not only in classic search results but also in AI-assistant answers – where users now get most of their information;
• content effectiveness must be measured differently: mentions, accuracy, context.

Arbitrage feels this indirectly: cheap search traffic disappears, SEO funnels decline.

Pay2.House tip: treat AI search as another traffic platform. Structure your landers, offers, FAQs so AI assistants can easily explain your product. And close everything where speed matters with paid traffic.

How to build an efficient workflow with Sora 2

1. Idea and offer framing

The main point is not the “beautiful clip”, but the meaning: a concrete pain, emotion, or user situation. One offer can be packed into several story angles – and this determines CTR.

Examples:

• “Tried everything, but my weight didn’t move – until I tried X.”
• “Money keeps slipping away – here’s how to take control.”
• “Stress drains your energy – here’s what actually helped.”
• “Saved more than I expected – in just one month.”

Choose ideas where users immediately recognize: “This is about my life and my problems”.

2. Prompts as mini-scripts

Next – prompts for Sora. A good prompt for arbitrage is not just “woman, kitchen, glass of water”, but a mini-script:

• who appears in the frame;
• what they do step by step;
• camera and lighting;
• mood;
• when the product and call to action appear.

ChatGPT works great here: upload examples from the official Sora materials, for instance OpenAI Cookbook, and ask the model to generate a batch of prompts based on your offer.

3. Batch generation

Then comes the production pipeline:

• create 5–10 prompts for one offer angle;
• generate 1–2 versions per prompt;
• get a set of 10–20 videos.

At this stage, the goal is breadth, not perfection.

4. Manual quality checklist

Next comes the cold review:

• check movement, hands, faces, physics;
• ensure the idea and the offer are immediately understandable.

Only 3–5 clips usually survive – the ones you’re not embarrassed to show real people.

5. Editing, voiceover, subtitles

Many teams avoid Sora’s built-in voiceover and use external tools (e.g., ElevenLabs) to control language, tone, and voice.

Final editing includes:

• timing adjustments;
• adding subtitles;
• color correction;
• inserting the final offer.

6. Testing and scaling

Then, the classic workflow:

• upload creatives into Facebook Ads, Google Ads, TikTok Ads;
• launch a structured test – by GEO, device, audience segment;
• keep only what hits CPA/ROI targets;
• scale, iterate, add new offer angles.

Sora 2 solves the operational pain of “we don’t have time to produce creatives for all tests”. But it does not replace marketing thinking – the offer, insight, idea, analytics still remain on the team’s side.

Where the money goes: a separate budget for AI infrastructure

This workflow requires a dedicated budget:

• subscriptions to Sora, ChatGPT;
• video generation costs (credits, paid tools);
• voice and audio tools (ElevenLabs, alternatives);
• supporting tools – from landing page builders to antidetect browsers.

This is where finances usually break: card declines, failed charges, limits, blocks, or inconvenient control across dozens of cards.

Pay2.House tip: treat the AI stack as a separate direction: its own budget, analytics, and payment control. The card is the same part of the funnel as the lander and the creative.

How Pay2.House solves the financial part

Pay2.House is a universal solution for international online payments. It covers both sides of the arbitrage workflow: AI-infrastructure and ad accounts.

Paying for AI tools

Sora, ChatGPT, ElevenLabs, trackers, landing-page generators – all of these use international billing.

Pay2.House virtual cards:

• work with international online services and subscriptions;
• process payments reliably and consistently.

We also have a detailed guide on how to pay for ElevenLabs with Pay2.House cards, but the logic is identical for almost any AI service.

Paying for ad accounts

The other half is regular billing for ad platforms and infrastructure:

• Facebook Ads, Google Ads, TikTok Ads, push networks;
• supporting tools: antidetect browsers, proxies, account tools.

Cards support 3D Secure, pass international payment gateways, and withstand intensive billing cycles.

Team budget management

The multi-currency account and the “My Teams” feature allow you to manage access rights, control each buyer’s expenses, and monitor team efficiency in one interface.

Mini-checklist

1. Assemble your AI stack for creatives: Sora or alternatives, ChatGPT, a voice tool, a basic editor.
2. Frame one offer through several story angles. Not “we need a video about a supplement”, but “we have three real audience insights”. Each angle requires its own script and prompts.
3. Run one full cycle: idea → prompts → video batch → manual review → editing → test.
4. Rebuild your payment infrastructure: create a Pay2.House account, issue cards for ads and AI tools, connect subscriptions and ad accounts.
5. Plan time for analytics: AI creatives are measured by the same numbers as any others – CTR, CVR, CPA, ROI. No positive results? Change the offer angle.

FAQ

What is Sora 2 for arbitrage?
A text-to-video model for fast production of 10–12-second creatives. It saves production time but requires strict quality control: movement, hands, physics, logic of the scene.

Where do AI creatives perform best?
On Facebook, AI creatives often deliver high CTR initially but burn out faster. On TikTok, emotional and dynamic scenes perform best. In Google UAC, results depend heavily on visuals and scene quality: AI videos can work, but the system prioritizes creatives that match search and behavioral signals. There’s no universal recipe – only testing.

How does AI search affect arbitrage?
A part of traffic shifts into zero-click. It’s not the death of SEO but a change in balance toward paid channels and recommendations.

How to use Pay2.House virtual cards?
For stable payments for Facebook, Google, TikTok ads and subscriptions to AI tools: Sora, ChatGPT, ElevenLabs, proxies, antidetects.

Conclusion

Sora 2 and AI search are not a market-breaking revolution nor a magic “always plus” button. Those who win are the ones who test faster, measure precisely, and keep their payment infrastructure fully under control.
Pay2.House closes the part that usually breaks: stable virtual cards for Facebook, Google, TikTok advertising, reliable payments for AI services, and a convenient financial setup for team scaling.