Different question: What if your marketing system didn't wait for the click? DOJO tracks brand signals, AI citations, and competitive movements continuously. Not as a reporting exercise. As an always-on intelligence layer. → dojoai.com
39
You can't fix this by adding another attribution tool. The issue isn't the model. It's the data architecture. Zero-click, AI answers, and dark social don't register in any standard tracking setup. They never will.
1
37
What broken attribution actually costs: You optimise toward channels that get credit, not ones that drive decisions. You cut budget from touchpoints nobody tracks. You report numbers to leadership that don't match how buyers actually found you.
1
14
Attribution was built for a world where buyers clicked an ad and filled out a form. 60% of searches now end without a click (Bain, 2026). A growing share of first-brand-contact happens in AI answers, dark social, channels with no tracking. The click model is over.
1
58
75% of marketers say their attribution is broken. Most responses: add a better attribution tool. Wrong diagnosis. Wrong fix. 🧵
2
1
87
Knowledge graphs are finally having their moment, and I think it's because people are starting to realise lookup is a solved problem. Context is what's actually hard.
What makes DOJO's living graph for marketing interesting is that it connects decisions to outcomes over time. So when an agent makes a recommendation, it's grounded in what's actually true about the brand, not some generic best practice from 2022.
The compounding part is what most people gloss over. The longer it runs, the sharper it gets.
We've talked about @Glean's Enterprise Knowledge Graph since 2019. People kept asking to see it, so we built a demo.
Ask Glean something like: "show me my manager's projects and the team behind them," and watch it traverse the graph in real time, mapping work and people across the org. Very cool!
108
The graph traversal is the fascinating part. Most search tools give you a result. This gives you the relationships between things. That's a genuinely different question. Curious how you're handling staleness in the graph though. That's always where these things get complicated.
309
"Context engineer" is showing up in marketing job specs.
The role: building and maintaining the information environment that AI agents work from.
Not a developer. Not a prompter.
The strategic constraint in AI marketing is no longer the model. It's the context.
41
These aren't edge cases. They're the pattern. The platforms that win the next five years made different architectural choices: Memory over reset. Action over insight. Transparency over lock-in. Those choices exist now. → dojoai.com
14
G2: where vendor teams curate reviews from satisfied customers. Trustpilot: where burned customers go when there's nowhere else. Both are real. They describe different stages of the same relationship.
1
15
I read several thousand Trustpilot reviews across the biggest MarTech platforms this month. G2 scores: 4.3–4.5/5 across the board. Trustpilot scores: 1.3–1.8/5 across the board. Same products. Two very different pictures. The pattern: 🧵
1
37
Looking at comments about ChatGPT and Claude and we're like 🧐. Have a look at dojoai.com
1
79
"That average, curated, dull blah that permeates so many posts and images. It reeks of low effort, contempt for your audience, and inauthentic delivery."
That's r/marketing, Feb 2026. 259 upvotes.
Your audience can feel it.
Fast and generic is a brand liability now. Specific and on-brand is the actual edge.
27
DOJO's knowledge graph is the context layer. It captures everything — campaigns, signals, competitor moves, brand decisions. Structures it. Connects it. Keeps it current. No context engineer required. → dojoai.com
33