Autopilot for arbitration: how AI saves budget and brain in 2025

Arbitration in 2025 is not about “gut feeling”. It is about scale, speed, automation, and cold calculation. And if you are still doing everything by hand – writing creatives, optimizing campaigns manually, calculating ROI in a spreadsheet – then don’t be surprised why competitors are already far ahead.

The traffic market has become faster and more complex. Buying is no longer just a purchase, but a system management, where new connections, geo, restrictions, fraud and burn rate appear every day.

This is where AI comes in – not as a fancy gimmick, but as a real assistant in routine, scale, and profit.

Less time – more ROI. Let’s go.

A selection of AI tools based on real arbitrage tasks

AI services in arbitration are not about “everything and nothing” but about clear task solving: writing texts, creating creatives, automating purchases, analyzing user behavior. If you choose the right tool for each stage, you can save dozens of hours and thousands of dollars of your test budget. Let’s divide the selection by key areas.

Text and headline generation

Tools:

• CopyMonkey – specializes in creating AI product descriptions for e-commerce. It works with Shopify, Amazon, and Google Shopping. It can adapt the description to the platform and immediately upload it in the import format.
  
• Hypotenuse.ai is a full-fledged platform for generating texts: from SEO articles to advertising headlines. You can set a topic, tone of voice, target audience, format, and the service will prepare a ready-made text. It has modules for product descriptions, email newsletters, and ad creatives.
  
• Anyword is focused on performance marketing. It generates headlines and text for Google Ads, Meta, TikTok, SMS, and email. It has a built-in CTR prediction system based on historical data and tone of voice adaptation. You can test and get a performance score for each version.
  

What they can do:

• Generate dozens of platform-specific heading and subheading options.
  
• Write advertising texts for landing pages, prelends, SMS, and push.
  
• Take into account marketing templates: AIDA, PAS, FAB, hook-emotion-CTA.
  
• Provide the ability to instantly A/B test options without involving a copywriter.
  

Why are they useful:

• Significantly speed up the launch: no need to wait for copywriting for several days.
  
• Allows you to test new approaches without manually developing creatives.
  
• Have adaptive templates for a niche – ecom, gut, finance, crypto, software.
  

Pros:

• Instant creation of texts taking into account the advertising format.
  
• Anyword allows you to predict CTR even before launching a campaign.
  
• Hypotenuse supports bulk mode – you can create 50+ descriptions for different landing pages at once.
  

Cons:

• All tools work in English – manual adaptation to local GEO is required.
  
• Low accuracy in niches with non-obvious language (slang, emotionally colored texts, Tier-3).
  
• Not always relevant for gray traffic (betting, sweepstakes, crypto) – you need to manually clean “too correct” wording.
  

When to use:

• When you need to test multiple headings or angles in a hurry.
  
• When there is no time or opportunity to involve a copywriter.
  
• When you’re launching a new vertical and looking for a quick way to check tone of voice.

Creatives: banners, videos, responsive ads

Tools: AdCreative.ai, RunwayML, Pika Labs, Kaiber

What they can do:

These AI tools allow you to close the creative part of a campaign without a designer or editor. They are capable of:

• Generate advertising banners, adaptive graphic blocks, creatives with adjustment to the format of Facebook Ads, Google Display Network, TikTok Ads.
  
• Create videos based on a text script, a promo or an uploaded image – from “user reviews” to promos with CTAs.
  
• Choose effective visual patterns: colors, fonts, structures, CTAs based on statistics from high CTR creatives.

AdCreative.ai

A platform that automates the creation of banners for performance marketing. It analyzes the ad format, text presentation, historical CTR and generates dozens of visual options.

• Gives more than 10 banner options at once with an estimate of the expected CTR.
  
• A library of best practices for each platform is available: Meta, Google, LinkedIn.
  
• Supports integration with advertising accounts – banners can be loaded immediately.
  

RunwayML / Pika Labs / Kaiber

Video generation services that allow you to create short promotional and UGC-style videos that mimic human behavior or emotional “live” feedback.

• RunwayML – focused on video editing, background replacement, dynamic processing.
  
• Pika Labs is a powerful video generator from text. It can create a visual story in 1 minute.
  
• Kaiber – suitable for creating videos with a “musical and visual vibe”, but also allows you to generate videos for sweepstakes, crypto, ecom.
  

These services work especially well in verticals like sweepstakes, betting, datingwhere the key is a quick launch, a hook at the first second, and emotional engagement.

Preferences:

• We can generate 15-20 banner/video variants in 1-2 hours – instead of days of work of a designer or video editor.
  
• Does not require powerful equipment – they work in the cloud.
  
• Provide a basic structure that can be manually “customized” to fit the tone/format/offer.
  

Limitations:

• Created banners have a similar style – it is often easy to recognize the AdCreative template.
  
• Videos can look unnatural (too “neural”), especially without editing.
  
• For a strong emotional effect or personalized creative, human intervention will still be needed.

When to use:

• At the start of a new campaign – to quickly test several angles, visual hooks, and ad structure.
  
• If you work with Tier-3 and want to quickly check the audience’s reaction to the video.
  
• When you need to create a dozen “working” variants for an A/B test in a few hours.

Audience analysis + segmentation

Tools:Quantcast,Crystal Knows

AI tools in this category are not about general “we have a target audience of women aged 25-45”. It’s about deep behavioral segmentation: how users think, what they react to, what content they read, what language they prefer. In 2025, without this, it is difficult to adapt texts, creatives, and UX to a specific geo or interest.

Quantcast

This is a platform that uses AI and machine learning to analyze online audiences in real time. It aggregates behavioral, demographic, geographic, and contextual data from open sources, DMPs, browsers, and pixels. In arbitrage, it is used as a source of data on

• the most active segments for a particular offer;
  
• dynamics of interest by geo and vertical (ecom, finance, iGaming);
  
• relevant platforms and platforms for pouring.
  

Quantcast allows you to:

• build a user profile for a specific offer;
  
• find the audiences that are most likely to convert;
  
• adapt tone of voice and message to behavioral patterns (for example, a more “straightforward” style for the US, or an emotional one for Latin America).

Crystal Knows

Focuses more on psychography – analyzes how to communicate with people based on their personality, behavioral style, and public activity. Often used in B2B marketing and outreach, but also useful in arbitration, especially in:

• email marketing;
  
• creating a “live” tone of voice in creatives;
  
• working with “feedback” when you need to adapt the message to a specific communication style of the target audience (for example, formal and business in Tier-1 or conversational and simple in Tier-2/3).
  

It analyzes LinkedIn profiles, publications, social behavior, and makes recommendations like: “This audience responds better to clear CTAs,” or “Avoid excessive pressure in the text.”

Benefits:

• Allows you to build a real portrait of the target audience, not a conditional “man 30+.”
  
• Quick access to data that would otherwise take weeks to test.
  
• Gives you the opportunity to immediately adapt creatives to different regions without wasting budget on a blind A/B test.

Disadvantages:

• The tools work best on Tier-1 audiences where more public and behavioral data is available.
  
• Both platforms are paid (from $49/month and up), so they are not suitable for beginners or narrow offers.
  
• You need to have basic knowledge of segmentation to correctly interpret the recommendations (especially in Crystal Knows).

When to use:

• When you launch a new vertical and want to understand how to talk to your audience without weeks of testing.
  
• When you want to perfectly adapt tone of voice for each GEO or platform type (for example, one style for Meta, another for clicks).
  
• When you work with email or push communication and need to be precise in your wording.

Campaign automation: launch, optimization, scaling

Tools:Revealbot,Madgicx

In 2025, campaign automation is no longer a bonus, but a necessity. A single buyer will not have time to manage dozens of campaigns, track performance, manually disable unprofitable groups, and scale what comes in. That is why AI tools are created to work as a “smart autopilot” – they do not just follow the rules, but learn from the results and adapt the strategy to the behavior of users.

Revealbot

A tool for automating Facebook Ads, TikTok Ads, and Google Ads. Works as an add-on over the advertising account, allows:

• create complex logic for rules of start, pause, scale, change of rates;
  
• start automatic duplication of links to new budgets;
  
• stop groups when CTR, CPA, ROAS drawdown;
  
• run daily split tests without manual intervention.
  

A feature of Revealbot is a flexible rule builder. For example:

“Stop the ad if CPA is $25, CTR is 1.5%, and spend is $80 – but only in the evening on Tier-2 GEO.”

Madgicx

A more visual and all-in-one platform with AI analysis elements. Focused on Meta Ads. Allows you to:

• automate purchasing according to the ROAS model (especially effective in ecom);
  
• create AI profiles of the target audience with recommendations on creative;
  
• generate AI creatives based on data from past campaigns;
  
• integrate performance analytics with Shopify, Google Analytics, TikTok.
  

Madgicx is an ideal option if you want to automate not only purchasing but also analysis, and not work with Excel or PowerBI.

Benefits:

• Allows you to remove the routine from the buyer: manual bid management, stop rules, launching new campaigns.
  
• Automatically scale links that work and extinguish those that are draining.
  
• Reduce human factor: less fakaps due to fatigue or inattention.

Disadvantages:

• Both tools work in the middle+ price segment ($49-149/month).
  
• It takes a little time to learn how to work with logic and templates.
  
• Require a good campaign structure (if you have a chaos in Ads Manager, they won’t save you).
  

When to use:

• When you are filling in several geos at the same time – and do not have time to manually check everything.
  
• When there are proven relationships that need to be scaled carefully and competently.
  
• When you want to launch a night or weekend “pour” without the risk of draining the budget into the red.

A/B testing of landing pages and UX: optimization without guesswork

Tools: VWO, Unbounce Smart Traffic, Instapage

In a classic A/B test, we run 2-3 variants of a landing page and see which one converts better. But in 2025, this is already too slow, especially when the pour goes to several geos, different platforms, and dozens of connections. AI page testing platforms solve this by automatically routing traffic and real-time adapting UX to user behavior.

VWO (Visual Website Optimizer)

This is a full-fledged A/B platform that uses AI to:

• determine the most effective page variant;
  
• automatically stop displaying “failed” versions;
  
• analysis of user microbehavior (heatmaps, scrollmaps, clickmaps);
  
• intuitive editing of the landing page in the constructor without code.
  

VWO allows you to run A/B/n tests with dozens of variants of blocks, headings, and CTAs. It determines what works best for a particular segment or hour of the day and redirects traffic according to the performance model.

Unbounce Smart Traffic

AI-system, which instead of the classic A/B test analyzes the first 50+ visitors and then dynamically shows each user the version of the landing page that best suits his behavioral pattern.

• Works on the “traffic shaping” model – each user is shown not a random version, but the one that is most likely to convert.
  
• Ideal for small budgets when you can’t drive 1000 clicks to each version.
  
• Has integrations with Google Ads, Meta, Zapier, CRMs.
  

Instapage

A platform for creating and testing landing pages with a focus on dynamic personalization.

• You can create dozens of versions of the page with different headers, backgrounds, offers – and substitute them for each traffic source (UTM, platform, GEO).
  
• Suitable for those who pour from different sources and want a user from TikTok to see one thing and from Google – another.
  
• Powerful AI engine for analyzing conversion actions (form, click, time on page).

Benefits:

• Quick testing of dozens of page variants without draining traffic.
  
• UX optimization not after 1000 clicks, but in real time.
  
• Increase CR by 20-40% simply by choosing the right option for the right user.

Disadvantages:

• Paid services (from $79/month), but the cost quickly pays off if there is traffic.
  
• You need to think over the logic of options (AI does not invent a design itself – it only chooses the most effective one).
  
• Some integrations with CRM or third-party trackers require manual configuration.

When to use:

• When there are several landing page options and no time to manually set them up.
  
• When you want to personalize UX for a source, device, or geo.
  
• When you are pouring on Tier-1 and optimization without losing your budget is important.

AI for fraud detection: traffic quality control

Tools: Anura, FraudScore

Traffic fraud is not just “someone’s headache”. It is a direct loss: a drained budget, lowered ROI, offer bounces, and account bans. In 2025, you can’t do without antifraud in high-volume arbitrage, especially if you are dealing with push, pop, display, or Tier-3 traffic. This is where AI platforms come in, analyzing in real time which traffic is live and which is bots, proxies, or twisting.

Anura

An anti-phishing platform that works on the basis of user behavioral analysis and machine learning. It doesn’t just record IP, user-agent or geo, but looks at how the user behaves on the page: session time, clicks, navigation, transition logic.

Features:

• Detection of bot traffic, click injection, ad stacking, fake conversions.
  
• Detailed segmentation by threat type: data center traffic, malware, SDK spoofing.
  
• API integration with trackers, payment systems, postback links.

Why is it useful:

• For media buyers – a stop signal to a low-quality source or publisher.
  
• For affiliates – confirmation of the honesty of traffic, if required by the offer/CPA grid.
  
• For agencies – white-label reports for clients or affiliate managers.

FraudScore

A more flexible antifraud that supports 3 models of analysis: for mobile, desktop, in-app traffic. It can work as a post-filter (based on logs) or in real time.

Features:

• Calculation of Traffic Quality Score – quantitative assessment of fraud risk for each source.
  
• Detection of motivated traffic, installations through emulators, cloaking or farm systems.
  
• Integration with Redtrack, Voluum, Binom, Peerclick, etc.

Who it’s for:

• For those who are getting mobile installs, app traffic, or sweepstakes from suspicious sources.
  
• For working with Tier-3, where you often come across CPA networks that return traffic due to “low quality.”

Benefits:

• Protection against budget drainage into bots, pharmaceuticals and twisted conversions.
  
• The ability to react quickly – stop or redirect traffic in case of risk.
  
• Helps you to work with affiliate managers – confirm the quality of clicks and leads.

Disadvantages:<

• High cost at high volumes (payment is often made for views/clicks).
  
• Requires embedding tracking codes and technical API configuration.
  
• Does not completely replace human analysis, but greatly enhances the solution.

When to use:

• When working with push, pop, or cheap sources where there is a lot of dirt.
  
• If you are connected to high-stakes offers where every lead counts.
  
• To justify a refund or budget reallocation from a “dead” source.

Bonus: An AI assistant for routine – your “second buyer” in the tab next to you

Tools: ChatGPT, Claude, Perplexity AI

Every arbitrageur has a list of tasks that “take a minute – but there are 100 of them a day”. Writing an ad description, summarizing conversion figures, making a competitor summary, coming up with a new headline – all of this takes precious time. This is where general-purpose AI assistants come in. They don’t generate banners or optimize campaigns directly, but they help you think, structure, and act faster.

ChatGPT (by OpenAI)

The most famous AI assistant that can:

• analyze campaign logs (e.g. CSV with costs, CTR, CPA);
  
• Create or edit text for ads, emails, landing pages;
  
• explain terms, principles, strategies in arbitration;
  
• help to formulate technical tasks – for example, a request for tracker integration or an API request.

It is especially effective in the GPT-4 version with Code Interpreter – you can give a table from the tracker and get a short report with the identified links that turned out to be a plus.

Claude (by Anthropic)

Less “marketing”, but very strong in working with large amounts of text. Claude is useful when you need it:

• quickly analyze user reviews, UGC, comments;
  
• summarize information from articles or competitive landing pages;
  
• formulate a complex letter or communication with a partner/manager.

Perplexity AI

A tool in the format “AI + Google + sources”. A switch for those who want to:

• quickly find the answer with a link to the original source;
  
• check what is written about the niche/offer in the media, blogs, forums;
  
• get a brief comparison of tools, services, platforms with sources.

This is essentially an AI search for marketers that allows collecting material for a presentation, analytics, or test hypothesis in 2 minutes.

Benefits:

• Universality – can close dozens of routine tasks that require “thinking and writing.”
  
• Speed – 5 minutes instead of 40 minutes manually.
  
• The ability to delegate boring, template or repetitive work.

Disadvantages:

• You need to be able to clearly set tasks (prompt): “write me a text for a betting landing page under Tier-2 GEO with an emphasis on emotion, CTA, simplicity.”
  
• It does not replace a specialist – it helps to think faster, but does not make strategic decisions.
  
• Sometimes it can give general or inaccurate advice – it is important to check the result.

When to use:

• When you don’t want to “think about the simple” – how to formulate an idea, how to structure an email, how to build a table.
  
• When you don’t have a team at hand and need to quickly secure yourself in creating content.
  
• When you’re working on a new offer, vertical, or direction and need to collect the maximum in the minimum time.

AI is not a replacement for a banner, but an extension of its capabilities

In 2025, arbitration is no longer about “doing it all by myself”. It is about systematic work with dozens of connections, sources, formats, and hypotheses, and it is impossible to do it without AI.

This selection is not about hype, but about practice. All the tools you have just read are already used by buyers who are making a profit. Some automate purchasing, some test dozens of creatives a day, some sleep better because they have an anti-fraud tool.

AI today is not a magic “money” button, but a real leverage: it reduces routine, speeds up testing, and gives feedback that you could get only after a merged budget.

A successful arbitrator of 2025 is not someone who does everything himself. It is someone who knows how to delegate to the neural network what it does best.

Start with one tool, integrate it into your system. Then another one. Then automate the things that take up your time. And watch as your connections come to life faster and your ROI grows not by luck, but by structure.