AI consulting for marketing and sales: an AI loop your team runs itself
AI for content, ads, analytics and sales
AI consulting from digitalagenten makes marketing and sales faster and more measurable. Together with your team, we build an AI loop of Research, Design, Build and Learn.
- Prioritized use cases for content, Google Ads, analytics and lead generation in sales.
- Prompts, AI agents and templates, integrated into your systems.
- KPIs for time saved, quality and qualified leads.
- Workshop, training and coaching: your team runs the loop itself.
People make the decisions. AI brings knowledge and speed to every round.
AI consulting with results: use cases, processes and tools in your team
At the end of the AI consulting engagement, your team works with these results:
- Prioritized use cases for marketing and sales, rated by impact, effort and risk.
- Documented processes with clear roles for research, review, approval and measurement.
- Prompts, templates and AI agents, tailored to your data, your brand and your target groups.
- AI tools, integrated into CRM, analytics, content management and ad accounts.
- KPIs for time saved, quality, visibility and qualified leads.
- All solutions belong to your company. digitalagenten remains your sparring partner whenever needed.
AI strategy for marketing and sales: clear goals, prioritized use cases
- The assessment captures processes, data and systems in marketing and sales.
- The roadmap combines quick wins in the first rounds with larger projects for the following quarters.
- Use cases with a clear data basis and a measurable goal start first.
- After the first round, data validates every decision.
- Standard tools with generative AI and custom automation complement each other, for example in reporting or content briefings.
AI consulting and GEO: use AI as a tool and as a channel
- AI consulting: AI as a tool makes content, campaigns and analyses faster and more precise.
- GEO: AI as a channel brings your brand and services into the answers of ChatGPT, Gemini and Google AI Overviews.
- Teams that use AI every day see faster which content AI systems cite.
- For visibility in AI answers, the GEO agency of digitalagenten is ready to support you.
Benefits of AI consulting for management, marketing, sales and IT
- Management: a business case with time saved, cost per content asset and qualified leads.
- Marketing: more content and campaigns at the same quality, with fixed approvals.
- Sales: scored leads and prepared conversations based on shared data.
- IT: clear guidelines for tools, interfaces and access rights.
- Data protection: documented rules for data in prompts and agents.
AI consulting, AI advisory or AI marketing agency: models of collaboration
Do it yourself as you prefer, get support for individual building blocks, or have it run end to end. All three models lead to the same goal: your team runs the AI loop itself.
Consulting
- Consulting for your marketing team.
- Shared AI workspace with use cases, prompts and priorities.
- Your team implements, digitalagenten co-steers.
Out-Tasking
- digitalagenten takes on individual building blocks such as research, measurement or prompt maintenance.
- Your team runs the rest of the loop.
- Monitoring with concrete input for the next round.
Outsourcing
- End-to-end operation of the AI loop for one discipline.
- Step-by-step handover to your team as soon as processes and KPIs run reliably.
- Full transparency on prompts, data and results in the shared workspace.
AI workshop and AI training: your marketing team uses AI with confidence
Enablement is a fixed part of every AI consulting engagement. This builds know-how in-house.
AI workshop
- Use cases and the first loop are developed on real tasks from your daily work.
- The result is a prioritized plan for the next steps.
In-house AI training
- Prompting, quality review, data protection and working with AI agents.
- The training builds the AI literacy that the AI Act expects from companies.
Content training
- Your editorial team learns the AI loop for copy: briefing, prompt, first draft, expert editing and measurement.
- Templates for custom GPTs and projects, aligned with your corporate wording.
AI coaching
- Support during the first rounds until your team runs the loop independently.
AI consulting for mid-sized companies: a fast start with two to three use cases
Mid-sized companies value speed and clear priorities. That is why AI consulting starts with a few use cases and the goal of measuring results in the first rounds.
- AI-powered content process: briefings, drafts and approvals in one workflow.
- Automated reporting: data from analytics, Search Console, CRM and ad accounts in one report.
- Lead scoring for sales: rate leads by behavior and company data.
Large enterprises often start with a pilot in one department. The loop can then be rolled out to further teams, brands and markets.
AI consultants with marketing practice: the loop proven in our own operations
- digitalagenten advises mid-sized companies and large enterprises on visibility in Google and AI answers.
- 24 consultants from SEO, ads, content, analytics and tech bring this practice to AI consulting.
- The AI loop runs in our own operations: SISTRIX, SEOlyze and crawlers are connected directly to the AI.
- Rankings, competitors and AI visibility across more than 130 prompts flow into decision papers automatically every day.
- Implementation is steered by consultants with experience in campaigns, content and approval processes.
AI use cases in marketing: five fields of application with quick benefits
Five fields of application interlock and use the same data basis. Each one can be started on its own. The decision aid for AI ways of working clarifies which setup fits.
- Briefings and outlines based on search queries and competitor analyses.
- Drafts and variants for website, blog, newsletter and social media.
- Expert review and approval within the team.
- Ad copy and asset variants in your brand’s voice.
- Audiences and bidding strategies based on clean conversion data.
- Practical examples in the article AI in Google Ads.
- Analytics, Search Console, CRM and ad accounts in one report.
- Spot anomalies early, with a recommended action in the report.
- Reports focused on the next decision.
- Lead scoring by behavior and company data.
- Conversation preparation and personalized follow-ups.
- Shared data for marketing and sales.
05 AI agents: automate routine work
- Agents for monitoring, data review and first drafts.
- Fixed checkpoints where people give approval.
- More time for strategy and creativity in the team.
AI ways of working for your team: from custom GPTs to projects with MCP
digitalagenten sets up the AI way of working to fit your team’s tasks, data and data protection requirements. Five ways of working are available, they can be combined and support the five use cases.
- Custom GPTsRecurring tasks with fixed instructions, such as briefings, copy variants or reply drafts. Quick to set up, little maintenance.
- Projects in Claude or ChatGPTA shared workspace with project knowledge, guidelines and documents for campaigns, content series and editorial work in teams.
- RecommendedProjects with MCPProjects connected directly to your CMS, CRM, analytics and SEO data via the Model Context Protocol. The AI works with current data instead of copies.
- Claude Code and CodexAI agents carry out multi-step tasks on their own: data analyses, website changes, reports. For teams with technical skills or with guidance.
- GDPR-compliant AI platformsPlatforms such as Langdock with EU hosting, model choice and permission management, when data protection and works councils set the framework.
| Task | Best-fit way of working | Typical use cases |
|---|---|---|
| A single, recurring task | Custom GPT | Briefings and copy variants in content creation |
| Teamwork with shared knowledge | Project in Claude or ChatGPT | Campaigns and series in email marketing |
| Work with current data from several tools | Project with MCP | Visibility in AI answers (GEO) and web analytics |
| Multi-step tasks with execution | Claude Code or Codex | Website updates and analyses in WordPress support |
| Strict data protection rules, many users | GDPR-compliant AI platform | Team-wide rollout with roles, permissions and logging |
AI loop for marketing: Research, Design, Build, Learn
A fixed cycle that becomes faster and more accurate with every round. It applies to content, structure, tech, onsite, offsite, PR and social media. All disciplines use one shared data set.
Recursive loop
Specialists steer
AI accelerates every round
Layers
Every layer goes through every round.
Research: condense data into hypotheses
- AI analyzes search data, competitors, customer questions, CRM data and campaign results.
- The result is data-backed hypotheses that make decisions traceable.
Design: your team decides and approves
- Your team selects the measures, sets goals and approves briefings.
- Responsibility and brand impact remain with people.
Build: AI accelerates implementation
- AI creates drafts, variants, ad copy and specifications.
- Your team adds experience and brand voice, then publishes.
Learn: measure and plan the next round
- Automated analyses measure what works.
- Insights from one discipline feed into the next research phase of all disciplines.
- With every round, automation takes over more routine work.
Governance, data protection and the AI Act: using AI safely in marketing
- Clear rules for approved tools, tasks and data.
- GDPR-compliant data protection as part of the design: data processing agreements, storage locations, personal data in prompts.
- AI Act: companies that use AI take measures to ensure the AI literacy of their staff (Art. 4).
- Since August 2026, transparency obligations apply to certain AI-generated content (Art. 50).
- Every published piece of content is approved by experts: facts, style and brand.
- AI consulting clarifies legal questions together with your data protection and legal department.
- The rules are developed in a workshop with the people who apply them. This way, governance and change management drive the rollout together.
Choosing AI consulting: 6 criteria for companies
- Results: processes, prompts and agents end up running in your systems.
- Marketing practice: the consultants know campaigns, content and KPIs from their own hands-on work.
- Measurement: every use case has a KPI and a baseline.
- Enablement: workshop, training and coaching are part of the offer.
- Governance: rules for tools, data and approvals are documented.
- Independence: in the end, your team runs the loop itself.
Get started with AI consulting now: book a meeting
In the conversation, you identify the three use cases with the greatest leverage and the process for your first AI loop.
FAQ: AI consulting, AI advisory and AI training
How AI consulting works
The consulting starts with an assessment in your company. This is followed by a workshop, strategy and roadmap, the setup of the first loop and coaching for the first rounds. After that, your team runs the loop itself.
AI consulting for mid-sized companies and large enterprises
AI consulting suits companies with their own marketing team that want to use AI in their daily work. It is a particularly good fit for B2B companies with complex offerings and for companies with several brands or markets.
AI tools for marketing teams
The task determines the choice. Language models such as ChatGPT, Claude or Gemini handle copy and analyses. AI features in Google Ads and Analytics steer campaigns and reporting. Interfaces and AI agents automate recurring tasks.
GDPR and the AI Act in AI consulting
Clear rules for tools, data and approvals, data processing agreements, suitable storage locations and training ensure compliance. Your legal or data protection department handles the legal review.
Content quality in the AI loop
Fixed review steps ensure quality: fact check, brand voice and approval by experts. AI delivers drafts, the team is responsible for every publication.
Timeline to first results
The first round of the AI loop already delivers measurable results. The assessment defines which use cases start first.
Combining AI consulting and GEO
AI consulting makes AI a tool for your marketing, GEO makes your brand visible in AI answers. Both services use the same data basis and can be combined.
Independent control by your team
Workflows, AI agents, prompts and templates belong to your company. Workshop, training and coaching prepare your team to take control independently.
What is AI consulting?
AI consulting helps companies use artificial intelligence purposefully in content, Google Ads, analytics and sales. digitalagenten identifies suitable use cases, builds prompts, custom GPTs and AI agents and trains the team to run the AI loop itself.
Since February 2025, Article 4 of the EU AI Act also requires sufficient AI literacy among staff who use AI systems.
How much does AI consulting cost?
The cost of AI consulting depends on the number of use cases, teams and systems and on training needs.
digitalagenten starts with a stocktaking workshop and then plans implementation in sprints.
About the author: Lorenz Wacker is Managing Director of digitalagenten GmbH. He advises B2B and B2C companies on AI in marketing, GEO and SEO. Last updated: October 2026