Specific tools change every quarter. The capabilities you need change slowly. Build your stack around categories, then choose the current best option in each.
1. Research and synthesis
Assistants that read long documents, transcripts and reports and pull out patterns. Best used on your own data — sales calls, support tickets, reviews — where the insight is real and specific.
2. Content drafting
Useful for outlines, first drafts, variants and reformatting. Not useful for facts or opinions. Every output needs an editor who knows the subject; unedited AI content is the fastest way to look like everyone else.
3. Creative generation
Image, video and ad-creative tools that let you test many concepts cheaply. The value is variant volume for testing, not replacing brand-defining creative work.
4. Automation and integration
The layer that moves data between your systems and triggers actions — forms to CRM, CRM to messaging, events to reporting. Usually the highest-ROI category and the least exciting.
5. Conversational agents
Chat, WhatsApp and voice agents that answer questions and qualify leads, grounded in your own documentation with a fast path to a human.
6. Analytics and attribution
Tools that consolidate platform data into one view and flag anomalies. Beware of anything promising perfect attribution; the honest ones show ranges and assumptions.
7. Advertising optimisation
Platform-native automation plus creative testing at volume. Your edge here is feeding the system better signals — accurate conversion values, clean audiences, real creative variety.
8. SEO and content operations
Crawling, internal link analysis, content gap detection and technical auditing. AI has made the analysis faster; it has not changed what makes a page good.
9. AI visibility tracking
Newer and increasingly essential: measuring whether assistants recommend your brand. Rank tracking does not cover this. See our AI Citation Monitoring service for the method.
10. Personalisation
Adapting site content, recommendations and messaging to segment or behaviour. Only worth it once you have enough traffic for the segments to be meaningful.
How to choose without wasting budget
- Write the job to be done before looking at tools.
- Trial two options against a real task, not a demo dataset.
- Check whether it integrates with your existing systems.
- Confirm where your data goes and how it is used.
- Decide who owns it internally. Unowned tools quietly become invoices.
Consolidating three tools nobody uses into one that is used well usually beats adding a fourth.