From Our Blog

Everyone talks about optimizing for AI prompts. But prompts aren't what LLMs actually execute. We've tracked millions of prompts and analyzed how AI answers get built. What we consistently observe: a single user prompt never runs as-is. The model transforms it first.

Recent advances in AI-driven commerce have intensified discussion around how purchases will occur. With Shopify and Google enabling transactions inside ChatGPT and Gemini, AI assistants can now move users from research to purchase without a traditional website visit.

AI marketing promised greater precision, efficiency, and creativity. Instead, many teams find themselves stuck, overwhelmed by tools, underwhelmed by results and frustrated that performance feels harder to measure than ever.

Over the past two years, AI assistants have quietly moved from novelty to habit. What started as experimentation is now shaping how people discover brands, compare options, and form preferences — often before a single click happens.

2025 marked the true beginning of Aeoflo. It was the year we moved from an idea in an emerging space to a real company, with a team, investors who believed in the vision and customers willing to test something new. Building in a fast-moving and still-undefined market came with uncertainty, but also with enormous learning.

Every marketing team has a blind spot. It's the space where data goes untracked, mentions go unnoticed and assumptions go unchallenged. These blind spots don't always signal neglect, they're a natural result of information overload, fragmented systems and the growing complexity of digital ecosystems.

In most teams today, the problem isn't a lack of data, it's that nobody can turn that data deluge into clear next steps that reliably move revenue. Marketing intelligence changes that by acting as an always-on signal layer that turns scattered inputs into prioritized actions.

In today's digital marketplace, purchase decisions often take shape long before any link is clicked. Generative AI tools like ChatGPT, Perplexity and Copilot-assisted workflows are quietly guiding discovery, evaluation and even intent formation in the moments before a user lands on a product page.

In 2025, marketing teams face an unprecedented data explosion. Yet, the biggest risk isn't having too little information, it's relying on data that's already out of date. Today's marketers often sift through last month's reports or dashboards refreshed weekly, but in an environment shaped by AI-powered search, hyper-personalized recommendations, and fast-moving consumer trends, old data is no longer enough to capture how customers actually discover, compare and choose brands.

In every campaign, dashboard, and analytics report, there are signals that go unnoticed. A brand mention in an AI response that never gets tracked, a competitor cited where your brand should have been, or a valuable insight buried under layers of noise. These invisible moments don't just represent lost visibility, they represent lost sales.

Every marketer tracks where traffic comes from whether it's organic, paid, referral, or social. But a new channel has emerged specifically impactful for B2C e-commerce: AI-driven referrals. While only a small slice today, between 0.15% and 0.7% of total sessions worldwide, this share is growing fast, and the visitors it brings can define your next wave of brand growth.

In the early days of the internet, online visibility worked differently. You built a website, added keywords, got backlinks and hoped Google would notice you. That was the beginning of the era of SEO, Search Engine Optimization, when everything revolved around getting on page one.

Last week, we talked about the evolution from SEO to AEO and how online visibility is changing in the age of AI. Traditional SEO helps your store appear in search results, but AI prioritizes structured, accurate data when deciding what to recommend.

Search Engine Optimization (SEO) is evolving into Answer Engine Optimization (AEO). Learn how this shift is changing the rules of online visibility and what it means for e-commerce brands in 2025.

Can AI assistants read my Shopify store? And if they can, will they actually recommend my products to shoppers? These are questions every e-commerce manager should be asking today.

It’s already possible to let an AI assistant (e.g. Perplexity Pro or OpenAI Operator) make a purchase for you. Even if AI-powered shopping isn’t fully established yet, it shows where the future of e-commerce is heading.

The future of shopping is here, and it’s powered by AI assistants. But are your brand visible when customers ask AI to find the best product? Online stores are optimized for humans, not for AI, putting their growth and overall business at risk. Here’s the story of how we’re changing that.

Google AI Overview is reshaping how people search by generating instant, summarized answers directly in the results. Here’s how this shift impacts search behavior and e-commerce visibility.