AI for Marketing
Test more, report faster and protect brand quality without adding headcount.
We help CMOs and marketing leaders embed AI across insight, creative, SEO and reporting. The team spends less time on production and more on the decisions that move performance.
Pain points
Where performance is being lost.
01
Campaign insight arrives too late to act on
By the time results are pulled together and read, the window to optimise the live campaign has closed.
02
Creative testing is slow and under-powered
Teams ship a handful of variants because briefing, producing and reviewing each one takes too long. Learning stalls.
03
SEO and content work does not scale
Research, briefs and drafts compete for the same scarce specialist time, and the content calendar stays behind.
04
Reporting consumes time that should go to strategy
Analysts spend days each month rebuilding the same dashboards and decks instead of reading what the numbers mean.
05
Quality and brand consistency are hard to hold
As output rises, tone, accuracy and brand standards slip unless someone reviews everything. That reviewer becomes the bottleneck.
Use cases
What AI does here.
01
Campaign performance analysis
Summarise results across channels, surface what changed and recommend the next optimisation in plain language for the team.
02
Creative variant generation and testing
Produce on-brief copy and concept variants at volume. The team tests more combinations and learns what resonates sooner.
03
SEO and content intelligence
Cluster search demand, draft briefs and find content gaps against competitors, so effort goes where it earns visibility.
04
Automated reporting and commentary
Turn raw analytics into formatted reports with written commentary, which frees analysts to focus on what the data says.
05
Content production workflows
Move first drafts, repurposing and localisation through structured workflows with human review at the points that matter.
06
Audience and message research
Pull customer feedback, reviews and social signal into clear audience insight that informs positioning and messaging.
Example workflows
How it works in practice.
Map the highest-value marketing workflows
We work with your team to find where time is lost and where AI adds real capacity, then prioritise by impact and feasibility.
Build and test against your brand
We configure tools and prompts grounded in your brand guidelines, tone and data, then test outputs against real briefs before rollout.
Embed into the team with guardrails
We fit the workflows into how the team already works, with clear review steps that hold quality and brand control.
Measure and scale what works
We track time saved and performance lift, refine what earns its place and expand into adjacent workflows once results are proven.
Indicative impact
What improvement should look like.
Illustrative example — not client results
Relevant services
How we deliver this.
02
AI Implementation
We build the working systems behind your AI strategy and embed them in the tools your teams already use.
Learn More03
AI Training
Practical, role-specific training that gives your people the confidence and judgement to use AI well.
Learn More05
AI Automation
We remove the repetitive, manual work that drains your teams and slows everything down.
Learn MoreFAQs
Common questions.
Will AI-generated content damage our brand or SEO?
Do we need to replace our existing marketing tools?
How quickly will the team see value?
PUSH AI Consultancy is part of PUSH, an award-winning performance agency recognised by Google and Microsoft.