In the first article, we explored basic AI use cases that save marketers hours of daily routine: audience building, keyword filtering, campaign analysis, automations, and accelerated learning.​

This is the foundation and the baseline.

But the real power of AI is unlocked when we move beyond “standard” chats and start using tools designed specifically for advertising teams.

This article is about the next level. It is about solutions that not only help you think faster, but truly enhance processes, automatically monitor campaigns, improve creatives, detect anomalies, optimize placements, and even localize videos into dozens of languages.

This material is based on a webinar hosted by Sasha, the CEO of newage. You can watch the full recording below:

Google Solution Library: the marketer’s hidden arsenal

There is a place where Google has been collecting its technical developments for years: ready-made tools, scripts, and automations for advertising teams. This is called Google Solution Library, and it is, without exaggeration, one of the most valuable yet least known resources for marketers.

What is Google Solution Library

It is a large collection of technical solutions from Google: automated scripts, AI tools, analytical templates, utilities for campaign optimization, integrations with BigQuery, App Scripts, API-based solutions, and frameworks that cover the most complex parts of the work.

What it is used for

Solution Library helps with the types of tasks that usually take the most time:

• analyzing campaign performance;
• generating audiences and processing data;
• automatically fixing anomalies and errors;
• optimizing bids and budgets;
• monitoring placement quality;
• working with creatives and AI;
• scaling campaigns;
• integrating data across Google tools.

And if previously this required a technical specialist, today most of these solutions can be launched in just a couple of clicks.

Why marketers almost don’t know about this tool

The reason is simple: Google barely promotes the Solution Library to the broad audience. It’s a place where agencies and technical teams collect utilities. But that’s exactly where everything lies that gives marketers a competitive edge: automations that save hours and thousands of dollars.

VEO 3: a new level of AI video generation

VEO 3 is Google’s flagship video generator, designed for complex scenes, natural dynamics, and cinematic presentation. It is a full-fledged tool that senses space, light, materials, and motion, creating content that appears to be the work of a professional production team.

VEO 3 excels at frame details, focus transitions, and atmospheric effects, from realistic to glossy advertising styles.

How it looks in practice

From a marketer’s perspective, VEO 3’s capabilities translate into very specific working benefits:

• Generation of complex scenes and individual frames. Static shots as well as full 5–10 second clips with logical composition can be built.
• Smooth dynamics and camera movement. The tool reproduces lens effects: zooms, pans, stable object transitions, and focus shifts.
• Use in advertising formats. VEO 3 allows creating content that can already be tested on YouTube, Performance Max, TikTok, or Meta.

Where this is useful for marketers

Budget-friendly production without shooting: ideal for product promos, services, brand intros, and demonstrations when quality is needed but there is no point in launching a full studio production.

It is equally useful for test videos: in a single evening, you can create 5–10 concepts, test messages, and quickly see what resonates.

Another advantage is fast concepts and storyboards: before production, the team gets a clear preview that is easy to show the client and immediately align expectations.

ViGenAIR: automatic video adaptation for audiences

In classic production, the most painful stage is adaptation. There is a 30-second video, and a marketer needs to turn it into:

• 15 seconds for YouTube,
• 6 seconds for bumpers,
• a Stories version,
• a square format for Meta,
• short variations for A/B tests.

Previously, this meant an editor, a budget, deadlines, approvals, and waiting in the production queue. This is exactly where ViGenAIR delivers a huge advantage. It automates video adaptation, leaving the human team with only control and final tweaks.

How ViGenAIR works

The system does not just “cut the video”; it understands what is happening in it. ViGenAIR goes through the video scene by scene, reads the rhythm and transitions, analyzes the voice-over, tracks when the key message appears, who is in the frame, which objects are important, where the brand or product is shown for the first time, and what role is played by the hook, culmination, and closing brand block.

After that, ViGenAIR:

• creates short videos for different goals (6, 10, 15 seconds or custom);
• preserves the logic of the original video;
• suggests headline and copy options;
• allows instant preparation of multiple versions for A/B tests.

In fact, ViGenAIR works like an editor, strategist, and content analyst at the same time, only without deadlines and burnout.

Let’s take the Doritos ad as an example

ViGenAIR can literally break down the Doritos commercial into micro-scenes and assemble new versions from them without breaking the storyline logic. The original spot that served as the basis:

First, the system performs frame-by-frame analysis: it detects the children in the frame, identifies their emotions, recognizes the Doritos bag as a key object, and reads the lines from the subtitles. Then, based on this “skeleton”, it highlights the most important moments: the product reveal, the characters’ reactions, the culmination, and the ending.

Using these anchor points, AI generates short videos of different lengths. Importantly, the adaptation does not look mechanical: the dynamics are preserved, the pace is not broken, and the mood of the original is clearly felt in every version.

After that, the system automatically generates ad messages: Bold Flavor, Nacho Cheese, For the Bold, Share the Crunch, Snack Time Fun. Each variant comes with a ready-made description that can be immediately used in YouTube Ads, Performance Max, or bumper formats.

The adapted video will not look cringe or messy, but will “hold together” as if it were edited by a real editor. This is precisely what demonstrates the level of the technology: it is no longer experimental, but ready for real production use.

ABCD Detector: AI-based creative evaluation using Google’s methodology

ABCD is one of the strongest frameworks for understanding why exactly a creative performs well or underperforms. In everyday work, marketers often say “this ad is weak”, but rarely can they clearly articulate the reason.

The detector removes this vagueness and turns evaluation into numbers, patterns, and actionable recommendations.

How the ABCD Detector reads video

The tool runs the ad through four major blocks:

• Attention: Is there a strong hook at the start? Does the video grab attention immediately?
• Branding: Is the brand present early enough? Is it recognizable? Does it support the storyline?
• Connection: Does the ad evoke emotion and empathy?
• Direction: Is there a clear call to action, such as buy, click, or learn more?

Next, each component is broken down into specific criteria: instant brand appearance, prominent branding, emotional scenes, strength of the opening, presence of a CTA, and so on. AI does not simply evaluate “yes/no”, but highlights weak fragments.

A practical example: what real diagnostics looks like

For the LOKO brand, two videos were compared. ABCD Detector ran through 26 criteria and very clearly outlined the difference.

The previous video received “On Track” status. It sort of works, but doesn’t deliver a strong result. The tool showed that the start is weak: no hook, attention isn’t captured, the brand is present but not integrated into the story. Emotional contact is minimal, and there’s practically no call to action.

The new video received “Excellent” status. The brand appears in the first seconds, emotions immediately create Connection, and the final frame clearly explains what to do next. The detector highlighted this literally with markers. The entire structure became cohesive and convincing.

After updating the creative, metrics improved precisely because specific, measurable elements were enhanced: early branding, emotion, and a clear message.

Ariel Dubbing: multilingual dubbing

Dubbing videos is always painful: expensive, slow, requires a studio, actors, and timing corrections. And if a brand is entering multiple markets at once, this task turns into an endless chain. That’s why multilingual dubbing has become one of the most obvious areas where AI provides significant value.

What Ariel Dubbing can do

This is not just “robot voiceover.” The system works on a speech-to-speech principle: it listens to the voice, reads intonation, pace, and emotion, and synthesizes a new language track while preserving the sound character. Google handles deep analysis and acoustic precision; ElevenLabs handles naturalness and voice texture.

As a result, you get dubbing where pauses are respected, emotion is in place, and the voice sounds human. And it all works with dozens of languages.

Where it delivers maximum effect

Marketers gain the ability to launch global campaigns at the pace of local content creation.

Need versions for Poland, Romania, and Czechia? It’s now one process, not three productions.

Want to test a video immediately in multiple languages via Performance Max? Prepare dubs in a day and launch.

Need to localize training or product videos without a studio? Ariel Dubbing does it in an hour.

Google Ads Tools: AI right inside the ad account

You don’t always need to go far — Google embeds AI into all key elements of ad creation. These built‑in tools have become so powerful that many marketers don’t even notice them, which is a missed opportunity, because they genuinely simplify the process and let you run more tests without additional costs.

Text-to-Speech: fast voiceover without a studio

In Google Ads, you can now create voiceovers directly in the Asset Library. The marketer enters text → the system synthesizes a voice-over that can be laid over video or used in audio ads. What’s useful here:

• Dozens of ready-made voices, male and female, with different tones.
• Different languages and accents.
• Flexible settings for speed, volume, and cue-in timing.
• The ability to create several variations at once for testing.

For performance teams, this is especially convenient: they can quickly test different versions, tones, and voiceover styles without waiting for production.

AI Image Generation: creating banners right in the account

Google can now generate commercial visuals that stylistically fit your product and ad format. What it allows:

• Creating static banners from scratch based on a text description
• Working with style references: upload your banner → the model preserves the style
• Adapting composition for different placements
• Quickly changing individual elements: background, accessory, texture, lighting

For campaigns with many creative iterations, this saves hours and makes it possible to run more tests.

Automated campaign improvement with AI

This block includes two tools that act like guardians of your campaigns: one monitors the health of your performance metrics, and the other tracks the cleanliness and quality of traffic. Together, they can take over about 60–80% of routine monitoring from the team, freeing specialists to focus on strategy and creative work.

Campaign Anomaly Detector

Sometimes a scenario happens: a campaign was running fine → in two days everything broke → no one knows exactly when. This is usually because people physically cannot monitor dozens of campaigns every hour. Campaign Anomaly Detector solves this painful part of the job.

What it does:

• Monitors key KPIs in real time.
• Detects any sharp deviations (drops/spikes).
• Sends alerts when something goes wrong.
• Let’s you react in minutes, not hours.
• Minimizes wasted budget due to technical or behavioral issues.

In essence, Campaign Anomaly Detector is another team member who works without sleep or days off. It does not replace the specialist, but removes the routine of monitoring and allows focus on optimization.

Ads Guardian

Inventory problems are especially acute in video ads: toxic channels, Russian content, kids’ videos, view farms, and just sites that provide no value. Ads Guardian is built exactly for this chaos: it works as a “first-level filter.”

How the system works:

• Disables low-quality sites during the campaign — no need to manually review thousands of URLs; the system itself finds channels with anomalous behavior, fraud, or low metrics and immediately turns them off.
• Uses whitelist + blacklist — on average, the system works on a large historical dataset: 12,000+ verified sites for whitelist, 37,000+ unwanted channels in blacklist.
• Accounts for your custom brand safety rules — the marketer sets criteria: what to consider harmful, which topics to react to, which countries/languages to exclude, and which risks to avoid.
• Learns from data — the longer the system works with your account, the more accurately it filters out low-quality inventory.

The tool’s task is simple and important: to maximally protect the brand and save budget.

AI landing pages: fast page creation without designers or developers

Creating a landing page no longer has to mean weeks of layouts, edits, and integrations. Services like Lovable allow you to assemble a full promo page in about an hour: the tool suggests structure, design, animations, and responsive behavior, and your only task is to describe the goal and context.

The result looks like the work of a designer, not a template. AI itself proposes the page structure: header, value proposition, value blocks, sections with speakers or product, slots for visuals, FAQ, and final CTAs, so the page is ready to launch and test without a classic production cycle.

The entire landing page is automatically adapted for mobile devices, so there is no need to manually adjust elements for different screens. Smooth animations and microinteractions are added on top: soft block entrances, button movements, element highlights — everything that makes the page feel alive and pleasant to use.

Finally, Lovable itself suggests strong CTAs: their wording, placement on the page, and how often they should be repeated to keep users engaged and moving toward conversion.

More about working with AI:

• AI in Marketing: Basic Use Cases That Already Save 50–90% of Your Time Today
• How to set up the AI workflow process

Where to find new tools and where to go next

AI tools are multiplying faster than we can learn about them. What seems like an innovation today becomes a basic part of a marketer’s work tomorrow. That’s why it’s important to have a single source where you can track the new ones and keep your own stack in shape.

One of the best resources right now is Futurepedia.io. It’s a large library of AI services with everything collected: video generators, text, design tools, analytics, automations, agents, and neural services for specific niches. It’s a place worth returning to regularly to not miss technologies that can save time and open new opportunities in campaigns.

But it’s not just about where to look, but also who has already tested them.

At newage., we work with AI every day: we analyze creatives, optimize campaigns, run automatic diagnostics, and test creative approaches. In fact, most of the tools in this article are what the team has already integrated into real projects.

FAQ

Can AI tools replace a marketer?

No. AI handles routine tasks and speeds up production, but strategy, communication nuances, data interpretation, and creative decisions remain human responsibilities. It’s a tool, not a replacement.

Which Google tools from this list are available now?

Most: ViGenAIR, VEO3, Text-to-Speech, Image Generation, Campaign Anomaly Detector, Ads Guardian. ABCD Detector currently works through Google managers but is gradually opening to a wider market.

Can you use VEO 3 or ViGenAIR without big budgets?

Yes. That’s their strength—they allow creating and adapting videos even without a production studio. It’s a convenient tool for testing hypotheses, A/B comparisons, and quick idea validation.

How accurate is the ABCD Detector? Can its scores really be trusted?

ABCD Detector does not evaluate “like / dislike.” It checks how closely your video follows Google’s creative methodology, which directly affects Brand Lift and overall video ad effectiveness, so it is worth trusting it as a technical diagnostician rather than a subjective judge.

Should you start preparing for GEO (Generative Engine Optimization) now?

Yes. AI answers in Google Search are becoming increasingly prominent, so brand content must be clear to models, well structured, and genuinely useful, not just keyword-stuffed. This is essentially a new level of SEO, and the market is already moving in this direction, making early adaptation a competitive advantage.