If you needed more proof that AI is no longer a side project, this week’s stories are it.
GPT-5 has arrived, and as always, the internet is split. Some see a leap in reasoning power. Others are frustrated with changes to their workflows. The rollout wasn’t flawless either. Auto-switching between models drove enough backlash that GPT-4o is still in the lineup.
My take: treat upgrades like any big release. Test in controlled runs. Benchmark against your best setup. Keep a fallback model ready.
Google’s own Gemini is contradicting Google’s traffic claims, Meta is training its AI to run smarter ads, and new tools are making your brand’s AI search footprint as trackable as your SEO rankings.
I have been watching two trends converge.
First, the brands moving fastest are the ones treating AI as infrastructure, not a novelty.
Second, performance platforms are quietly giving us more control over automation so we can steer the machine instead of being dragged by it.
The theme is clear: AI is now the backbone of growth.
Use the levers. Measure everything. Never hand over full control.
Let’s dig in.
Patrick Patterson
CEO at Level Agency
What's interesting this week
GPT-5 for Growth Teams and Where It Still Falls Short GPT-5 shows real gains in multi-step reasoning but is still unreliable for brand-sensitive creative. Start with analysis tasks, benchmark against your best model, and keep a trusted fallback ready. Read more
Google Gemini Pushes Back on Google’s Traffic Story Google says web traffic is steady. Google Gemini and other LLMs disagree. If you are betting on traditional SERPs to drive growth, it is time to rethink your acquisition strategy before AI answers eat your clicks. Read more
Meta’s Guide to Feeding Its AI Ad Machine Meta’s AI placement and targeting tools work best when you give them high-quality creative and clean conversion data. Garbage in, garbage out. The right inputs turn its automation into a growth driver. Read more
Performance Max Just Got More Transparent Google has expanded controls and reporting in Performance Max. That means you can finally see more of what is working and steer campaigns with data instead of blind trust. Read more
Claude Gets AI Search and Memory of Past Chats
Anthropic has given Claude the ability to search the web and reference previous conversations. That opens the door for more context-rich answers, long-term project support, and research workflows that actually remember what you did last time. Read more
Are You Showing Up in AI Search Results? AI search is rewriting the SERP. If you do not know where your brand appears, you cannot protect or grow your visibility. These tools make that measurable. Read more
Deep dive: AI
The rocky road to GPT-5 and what it means for your stack
GPT-5 is the most visible AI launch of the summer, and the reactions are split. For everyday users, it is a leap forward in accessibility, surfacing the reasoning power that used to require careful model selection.
For power users, the auto-switching has been frustrating. If you were used to hand-picking the perfect model for the job, GPT-5 can feel like a downgrade. That tension is driving much of the backlash.
The smart move is to test it in controlled environments. Pin models for critical workflows and try GPT-5 first on analysis-heavy or agent tasks.
Adjust prompts with more context and explicit “do nots,” because what worked on older models may not translate. This is an upgrade for the masses, and high-precision use cases will need tuning.
Alongside GPT-5, GPT-oss might be the sleeper hit. Running a local LLM with no token limits and zero data exposure risk now takes minutes to set up. It is not as capable as GPT-5, but for sensitive data or massive context windows, it can be a real edge.
Jumping from a lean marketing crew to a 25-person department is not just about adding headcount. It is a complete system overhaul. The most successful teams build around revenue levers, not titles, so every hire directly contributes to growth.
AI can make this leap less painful. Use it to automate onboarding with interactive training, document workflows as you go, and surface insights from campaign data so new hires start producing sooner. AI-powered analytics can also flag performance shifts before humans notice, helping leadership focus on strategy instead of firefighting.
The key is sequencing. Lock in your foundational roles first (growth ops, performance media, and content leadership) before layering on specialists. Then use AI project management and creative QA tools to keep output quality high without drowning in meetings.
Scaling fast can easily turn into scaling chaos. With AI smoothing the handoffs and surfacing the right data at the right time, you can scale both speed and precision instead of trading one for the other.
AI voice tech has moved from impressive to indistinguishable. MiniMax Audio takes it to that next level with over 300 voices in more than 40 languages. Clone a voice from 10 seconds of audio, pick a style that fits your brand, and even drop in custom music.
It chews through long scripts up to 200,000 characters without losing tone or flow. The noise reduction is solid too, so even less-than-perfect samples come out clean.
For growth teams, that means you can spin up multilingual ads, training content, podcasts, or product videos without booking studio time. The output is polished, on-brand, and ready to ship in hours instead of weeks.
Help shape this newsletter
You decide. Should we lean into headlines or hands-on AI tips? One-click poll coming next week.
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