SOCIAL MEDIA

Both, and pretending otherwise is why so many brands waste money on it. Social serves the business, so it has to drive real outcomes. But it does that through attention, which is earned with creative people actually want to watch. Great creative is not the opposite of performance, it is the entry ticket to it. We design every post to stand out and to move someone along the funnel.

Social media is the broad discipline: building your brand, content, community and reach across platforms. Social selling is narrower and lower-funnel: using social channels and conversations to generate leads and drive direct sales. Think of social media as earning attention and trust at scale, and social selling as converting that trust into revenue. The two work best together, which is why we run both.

AI now does real work in social: scanning listening feeds for trends, drafting content, scheduling and triaging comments and DMs, with agentic workflows cutting manual time and lifting engagement. You can run it anywhere from AI-assisted to guardrailed autonomy. But there is a hard limit: audiences punish obvious “AI slop”, and around 31% are less likely to choose a brand whose content feels machine-made. We use AI for speed and scale, and keep humans in charge of voice, taste and the final call.

Social search, people discovering products on TikTok, Instagram and YouTube instead of Google, now drives over 60% of product discovery, and for younger buyers it has overtaken Google. AI answer engines increasingly summarize that same social content. We optimize for both: keyword-aware captions and on-screen text, content that answers real questions, consistent profiles and entities, and the formats each platform and model actually surface. If you are not built to be found, you are invisible to a fast-growing share of buyers.

Social listening is monitoring what people say about your brand, competitors and category across platforms, then turning it into insight: sentiment, trends, complaints and opportunities, in near real time. Reputation management is its natural twin, using those same signals to monitor, protect and actively shape how your brand is perceived. We read it at scale with AI and interpret it with experienced people, so the output is a set of decisions, not just a dashboard.

Yes, but carefully. AI is excellent for speed: ideation, variants, editing, first drafts and scheduling. The risk is “AI slop”, and around 31% of consumers say they are less likely to choose a brand whose content feels obviously machine-made. So we use AI to accelerate the work, never to replace the voice. Humans own taste, brand and the final cut, which is exactly what keeps AI-assisted content from looking like everyone else’s.

We use large language models to do at scale what a human cannot: scan thousands of creators, read their actual content, comments and audience signals, and flag brand-fit, tone, red flags and likely engagement quality. That produces a strong shortlist in hours instead of weeks. Then humans make the call, because authenticity is a judgement, not a score. The model handles the volume and the due diligence; people choose the partnerships and protect the fit. Vetted this way, micro and nano creators tend to deliver the highest ROI.

With AI on a short leash. Agents can triage comments and DMs, draft first-line replies and flag complaints, leads and PR risks in real time, which is how you stay responsive at scale. But every public reply still passes a human filter, because audiences spot an automated answer instantly, and a robotic reply does more damage than a slow one. Speed with a human voice, not speed instead of it.

By tracking the whole path, not just the last click. Reach and engagement are early signals; saves, shares, clicks, leads, social-commerce sales and retention are the ones that count. In a world of zero-click feeds and in-app buying, we lean on platform conversion data, socialcommerce tracking, incrementality and connected analytics rather than vanity metrics. The scorecard that matters is revenue, customer acquisition cost and lifetime value.

With a system, not guesswork. We define the brand voice once, the tone, the values, the dos and don’ts, then translate it natively for each platform, because the same message has to feel at home on LinkedIn and on TikTok without becoming two different brands. Our Coherence check keeps every brief tied to the brand and the business objective, so consistency does not depend on whoever happens to be posting that day.