Unique Research · Insight · May 22, 2024
By Tiana
“What used to take two and a half days to submit now takes half a day,” Focus Media Senior Vice President Long Jun told Morketing.
Every day, across Focus Media offices nationwide, briefs are decoded, brainstorms run, assets ship, and revisions loop. Content creators measure that work in days, weeks, even months. Now: enter a requirement, click, and the needed content can appear in milliseconds.
Content creation is the most direct, fastest-landing way AI enters marketing — but AI’s impact goes further. In transactional scenes it already plays a large role. The marketing chain has been re-deconstructed by AI.
Brain with an add-on: AI accelerates creative generation
Whether text or image, content remains the most important part of the marketing chain — without content, there is no distribution.
This is no longer an era when one ad can establish a brand and win consumers. Enterprises demand unprecedented volume and quality from content, and creation faces hard problems — starting with a familiar one: what if inspiration runs dry?
A friend in creative marketing once complained to Morketing: five years in, the worst pain is still pitch contests — two pitches a week, all-nighters each time, inspiration already squeezed dry, still not hitting the mark, while the client needs it urgently. Sometimes you just want a different brain.
Creativity needs divergent talent and accumulation. At its core, creativity is recombination of old elements: the more you’ve seen, the denser the material, the faster the neural links. Like opening a sluice for impact — you must first store enough water.
Big data is that vast reservoir. From massive information, AI can generate creatives extremely fast and stably — without waiting for human flashes of inspiration. Human understanding remains irreplaceable. The formula: human brain + AI = comprehension + continuous inspiration. For creatives, AI can both generate BIG IDEAs quickly and spark inspiration — a pitch-contest power tool.
If AI can spark inspiration, it knows more than people — backed by large volumes of professional knowledge: industry knowledge and enterprise knowledge.
Titanium Magnesium AI founder and CEO Cai Xiaoxu said in interview: “Different industry large models need a lot of knowledge augmentation — highly specialized sectors like automotive, 3C, finance. Take our AI Creative Officer: the solution can do vertical incremental training by marketing scene, client industry, and user habits, and customize prompt engineering or fine-tuning for client differentiation, so it fits personalized needs of industry clients.” Titanium Magnesium AI injects industry and client knowledge via an LLMOps platform for proprietary-data model training and application orchestration, and can support private deployment where needed.
Focus Media had previously used other AI tools, including ChatGPT. “We used ChatGPT to help generate ad copy, especially slogans,” Long Jun said. “Output was much faster, but it rarely hit the point — of 10 slogans, almost none were usable. With Titanium Magnesium AI Creative Officer, at least one or two of 10 get client buy-in.”
Below industry knowledge sits enterprise knowledge. Even in the same industry, brands have walls — internal knowledge bases, PR writing habits, taboo words differ. For higher-requirement enterprises, a generic industry model is not enough; customized incremental training is needed.
Horizontally, Titanium Magnesium AI Creative Officer addresses marketers’ inspiration drought and professionalism. Vertically, it addresses a classic management problem: efficiency.
In traditional flows, analysis → creative → poster design needs multi-department collaboration — long cycles, low throughput. Especially for consumer brands and retailers with large consumer data that must respond fast to market change: without AI for efficiency, keeping up is hard.
Focus Media SVP Long Jun told Morketing: “Brands like Master Kong and BYD have many product SKUs a year. At new-product push and seasonal marketing nodes, demand for ad copy and image design is huge. Our group resources are actually insufficient — there is production burden — so we really need AI to raise efficiency. Titanium Magnesium AI Creative Officer solved that need.”
Titanium Magnesium AI Creative Officer is a Multi-Agent application: once fed client product and other materials, it can auto-complete the whole workflow — material retrieval and analysis → market analysis → user analysis → copy creation → posters and slogans.
Workflow-style apps give enterprises more accurate ad-creative generation solutions and can cut into work quickly and frictionlessly for maximum efficiency.
In a Morketing trial: enter “Audi Q5,” keep interacting with the AI Creative Officer, and the system auto-analyzes product info, market positioning, and user preferences. In only a few minutes it returned multiple theme slogan content suggestions, plus background art matching product tone and fused scene frames.
For AI, more work content means higher efficiency and clearer marginal gains. Data cited: Titanium Magnesium AI Creative Officer can cut ad-campaign deployment time by 50% and ad production cost by 30%. Faster creative production means more active market response.
Also notable: copyright enforcement has tightened in recent years; large volumes of human-made content risk infringement. Titanium Magnesium AI’s AIGC-based marketing automation overall solution can generate quality content efficiently while helping avoid copyright risk.
The end state of marketing upgrade: “super employees”
One end goal of marketing is to close transactions; content creation ultimately serves that. How does AI act across the transaction chain? Pre-, mid-, and post-deal.
Pre-deal. Consumers decide with lots of known information — search marketing and “seeding” (种草) marketing work here. Buying a face cream, a shopper may search Xiaohongshu: is it for sensitive skin? how to use? value? One comment — “this gave me acne” — can blacklist the product forever. Brands therefore need careful opinion guidance and positive seeding.
Manual opinion monitoring is already too traditional: easy to miss the best PR window; impossible to interact with countless users at once; and while clearing negatives, you need positive guidance — good trial feedback, especially seeding in comment sections — which is hard on staff.
AI-driven social-media opinion guidance and seeding is the era-aligned approach: only AI can monitor all-net sentiment 24 hours and seed 24 hours.
Will consumers want to buy after seeing an AI comment? Yes — trained AI comments and real consumer comments are nearly indistinguishable.
Titanium Magnesium AI Digital Employees assign diverse personas to AI Bots. In product chat and comment interaction with real users, bots analyze and reason from context, respond in human-like tone from the product angles users care about, empathize, and guide overall brand sentiment. Bots also share trial experiences on major social platforms for seeding, surface product highlights, guide users to product pages for conversion, aggregate brand voice across social media, and @ official accounts while seeding to help grow followers.
Mid-deal. Once consumers reach the product page, AI can play an emotionally stable human-like customer service. With severe product homogenization, emotional value matters. Sales is not one-way information display — it is interaction. Late or cold human CS replies can end the journey. Merchants need AI staff who stay upbeat, answer immediately, cover 24 hours without miss, never tire, and stay loyal.
One Titanium Magnesium AI Bots capability: empathic, high-quality replies on pre-sale consultation and post-purchase comments — lifting satisfaction, brand competitiveness, and sales. AI CS is nearly table stakes for large brands; SMBs are catching up.
Post-deal. AI can own after-sales comment replies and empower private-domain ops. Many brands — especially SMBs — know they need private domain, fan retention, and repurchase growth, but lack headcount; WeCom groups left unoperated lose fans. Model-driven digital CS is more stable than humans, always online, and after private-knowledge training presents brand image and service attitude grounded in user data for “mindset”-level understanding of consumers.
Whether AI opinion guidance/monitoring or CS, the essence is simulating human work — more efficiently, stably, and professionally — for brands and consumers.
From rich brand-collaboration experience, Titanium Magnesium AI built a scaled seeding-marketing intelligent automation product driven by LLMs — Digital Employees — combining LLMs, enterprise knowledge bases, and scene SOPs for fully automatic personalized user interaction, opinion guidance, and precise brand-reputation spread on mainstream domestic and overseas social and e-commerce platforms. Digital Employees give brand owners smarter marketing tools and users more natural, authentic communication.
Closing
On R&D intent and roadmap, Cai Xiaoxu said: “At first we researched generative AI only for precise efficiency gains on our own business, client acquisition, and budget. Then we found many SMEs urgently needed such a SaaS platform — early market exploration is hard and needs lots of time to grind and learn. We launched the first product (Titanium Magnesium AI Brand Brain) hoping to help SMEs stabilize their base and get started fast. As client needs refined, we gradually shipped LLM-deep-trained ‘AI Creative Officer’ and ‘Digital Employees’; next will come ‘AI Research Officer,’ ‘AI Training Officer,’ and other solutions deepening into different marketing scenes.”
Standing still is falling behind. The later enterprises learn, the higher the cost and the more market they lose.
Per the 2024 China Digital Marketing Trends Report from Miaozhen Marketing Science Institute with GDMS and M360: 30% of advertisers use AI to generate text/images; 20% generate video; AI ad-creative usage reaches 25%; planned use of AI for text/image and video both exceed 30%; 21% already use AI digital humans; 26% are planning.
From concept to landing, from big brands to small merchants, generative AI’s pace keeps exceeding expectations. New tech always brings challenges — and new landscapes are good times to enter. As Cai put it: “Don’t refuse — just use it. You’ll feel disruptive change.”
Content production efficiency up 70%, content creation cost down 40%, enterprise AI efficiency uplift 50% — Titanium Magnesium AI’s AIGC marketing automation overall solution may yet drive industry resonance. “Empower enterprises with AI wisdom; explore infinite future commerce possibilities” — as its mission and vision state, generative AI marketing needs such evangelists: iterate, explore the frontier, keep the industry alive.