DesiMe
SEO, Google Ads and Klaviyo for a UK-wide Shopify grocer, with AI used in content and product workflows.
See selected client workAI consultancy
I help marketers and business owners improve the repeated work behind reporting, research, content and campaigns. We map the process, decide where AI or automation can help, and test a practical workflow with clear human checks. For team implementation, I deliver the work through Indexify.
These are examples from my wider marketing, consultancy and build work. They show the delivery background behind the service; they are not measured results from the illustrative workflow pilots below.
SEO, Google Ads and Klaviyo for a UK-wide Shopify grocer, with AI used in content and product workflows.
See selected client workGoogle Ads, local SEO and branch landing pages across a UK pharmacy estate.
See selected client workAI consultancy and practical team training to apply emerging tools to client delivery and operations.
See selected client work“Excellent support for SEO strategy and implementation, driving impactful results for our brand awareness campaigns. Thanks to his expertise, we achieved top 5 rankings in a remarkably short time. Jon delivered a detailed, structured roadmap with clear tracking metrics.”
“Jon and the team were able to offer us clear, concise and accurate support during an integral business move when merging our company websites. The team are able to give strategic direction and reliable information at the drop of a hat! Incredibly responsive, could not recommend their services more.”
Repeated spreadsheet preparation, inconsistent briefs, missed handovers and manual campaign summaries are useful places to start. We choose one process and agree what better looks like before building.
Bring exports and metric definitions. Create a checked performance summary, with a person reviewing the numbers and proposed actions.
Bring approved sources, audience needs and brand rules. Produce a sourced brief, with an editor approving claims and direction.
Bring campaign results or approved feedback. Group patterns and draft next steps, with your team deciding what to act on.
A practical implementation process
The output is not an abstract AI strategy. Each stage reduces uncertainty and moves a real workflow towards a measurable, maintainable implementation.
Map the repeated work, data sources, hand-offs and decisions that currently slow the team down.
Estimate time, tool, error and opportunity costs before recommending an implementation.
Score opportunities by value, feasibility, readiness and risk, then choose the right first pilot.
Create the workflow, dashboard, agent or internal tool against clear acceptance criteria.
Train the people who will use it and document the prompts, checks, ownership and escalation path.
Measure adoption and output quality, then refine the workflow as the business and tools change.
Ways to work together
Training, advice and implementation can stand alone or form one adoption programme.
A structured inventory of workflows, data, team readiness and the most credible opportunities to pursue.
A focused build around one repeated reporting, research, content, campaign or customer workflow.
Bring search, campaign, competitor and customer signals into a decision-ready dashboard or reporting layer.
Hands-on training using the team’s real documents, reporting tasks and processes rather than generic demos.
Organise the context, sources and instructions agents need to produce reliable work for your business.
Monthly support for prioritisation, governance, workflow improvement and new implementation decisions.
Marketing intelligence, not AI theatre
The RACE framework keeps the conversation grounded in customers, decisions and measurable outcomes rather than tools for their own sake.
Research, market signals, SEO, GEO and competitor monitoring.
Content journeys, on-site tools, lead qualification and audience insight.
Sales enablement, proposal workflows, campaign analysis and commercial reporting.
Customer intelligence, retention, reviews, email and service workflows.
We agree the scope before work starts. A typical pilot includes a process map, a prioritised opportunity list, a working first version, acceptance checks and a handover covering ownership, exceptions and maintenance.
Measure time recovered alongside review effort, errors and adoption. Use the marketing automation ROI calculator to explore the economics, then validate the assumptions against your own work.
Marketing workflow evidence
Two worked demonstrations with invented sample data, prepared by Jon Goodey, 8 September 2026. They illustrate a method; they are not client case studies or measured productivity claims.
Start with two comparable weeks: £1,000 spend and 20 enquiries, then £1,200 and 30 enquiries. Calculate cost per enquiry before asking AI to draft commentary.
Start with a fictional workshop: 90 minutes, remote, for marketing managers, covering one reporting workflow. Turn those approved facts into a brief without inventing results or testimonials.
Need a clearer view of performance? Explore marketing intelligence and reporting.
I work from London, with remote sessions worldwide and in-person work by arrangement. AI Essentials supports individual learning; organisational diagnostics, training and implementation are delivered through Indexify.
I map how work moves between people and tools, identify repeated effort, and help improve one process. AI is one option; a clearer handover or a simpler rule may be enough.
An audit identifies opportunities, constraints and priorities. A build turns an agreed opportunity into a tested workflow. We agree which outputs are included before starting.
We start with what you already use. Access, integration options and the cost of maintaining a connection determine what is practical. A new subscription is not the default answer.
Your team keeps responsibility for factual claims, sensitive information, publishing and business decisions. The workflow specifies who reviews each output and how exceptions are handled.
Consulting and builds are scoped individually. The number of sources, integrations, access requirements, exception cases and training needs determine the quote. We agree the deliverables and price before work starts; there is no standard pilot price published here.
Timing depends on access, scope and the review process. We agree a delivery schedule and acceptance checks after examining a sample workflow, rather than promising a fixed turnaround before discovery.
Yes. I am based in London and work remotely worldwide, including with US clients. We agree suitable meeting times, access and handover arrangements.
A focused consultancy engagement starts with the process and business case, then scopes the help needed. An agency may provide a wider delivery team or ongoing platform operations. Organisational implementation here is delivered through Indexify.
The starting point is your existing stack. Reporting may use Google Analytics, Search Console and campaign exports; research and drafting may involve ChatGPT, Claude or other AI tools. We check access and integration feasibility before agreeing a build.
We agree an owner and a handover plan, including prompts, checks and escalation. Ongoing support can be scoped separately if you need it.
Bring an example of the current process, the tools involved and the result you need. We will discuss whether AI is appropriate and what a sensible next step looks like.