From buyer journeys to AI answers
We started with a simple question
Back in 2013, we weren’t thinking about AI assistants at all. We were trying to solve a much older problem:
“How do you design content around how buyers actually think and move – not how your funnel slide looks?”
On a project for a large utility, we began mapping the buyer’s journey using ideas from the Hero’s Journey, trying to line up content to each step in Excel. It broke almost immediately. It was impossible to track engagement, gaps, and next best content in a spreadsheet. We realised there was a missing piece of marketing architecture – and that’s where Odyssiant began.
In 2014, we published Intelligent Customer Engagement and built the first version of Odyssiant: a platform to map journeys and assign content to each stage. It sounds obvious now, but at the time most teams were still shipping campaigns, not journeys.
Building a journey-first content engine
Over the next few years, Odyssiant evolved through several major versions, each one nudging us closer to what would become AEO and GEO thinking – just before those labels existed:
v2.0 Journey-aligned nudges
We added email “nudges” and newsletter-style journeys that pulled content from the map and guided people through it. One client saw more leads than they’d ever generated in that business area just by activating the journey properly.
v2.1 Needs, personas and next best step
We upgraded the intelligence in the platform to consider needs, persona and next step, and introduced weighting so content could be prioritised based on what mattered most at each stage.
v2.2 Content audits and decision support
We built a content audit layer that showed, at a glance, which parts of the journey were well-supported and where buyers were effectively walking off a cliff. As one client at IFS put it: once the content was audited, it was “obvious what was missing – a massive help”.
v3.0 On-site personalisation and analytics
We introduced on-site tracking, a WordPress plugin for next-best-content, and HubSpot integration for email nudges. The analytics proved what we’d suspected for years: the shape of the funnel and full-funnel activation were critical to performance.
v4.0 Journey optimisation dashboards
We added dashboards for content audit and engagement, plus content-to-content analysis to understand how each item helped move customers towards purchase. It wasn’t just “did they read it?” but “did this piece progress the decision?”.
Along the way we worked with organisations from Associated Press and News UK to RBS, Camelot, IFS, Splitit and a major telecoms provider – all with the same underlying challenge: connect content to real buyer journeys and decisions, not just clicks.
The shift: when AI became the new front door
Fast forward, and something fundamental has changed:
Buyers now start their journey by asking questions to ChatGPT, Perplexity, Gemini and other AI assistants, not just typing keywords into a search box.
All the work we’d done on journey mapping, content audits and “next best content” suddenly had a new front door:
- Instead of asking “what’s the next piece of content on our site?”, buyers ask “what’s the best X for Y?”
- Instead of searching and browsing websites, they get a single AI-generated answer, often without ever clicking.
- Instead of reading your carefully planned nurture journey, they get a synthesised shortlist based on whatever the models can find and trust.
We realised we were looking at the same problem in a new medium:
Before
“Is our content supporting the buyer’s journey?”
Now
“Are we even in the conversation when AI assembles the answer?”
Odyssiant’s foundations – mapping journeys, understanding needs, auditing content, measuring progression – were exactly what you need to tackle Answer Engine Optimisation (AEO) and Generative Engine Optimisation (GEO) in a serious way.
We didn’t have to reinvent our philosophy. We just had to point it at the new interface.
What makes our approach to AEO/GEO different
Most AEO/GEO tools today
Measurement-first
- They show you where you appear in AI answers.
- They track brand mentions and citations.
- They give you screenshots and charts.
Useful, but incomplete.
Odyssiant
Decision-first
Because the real question our clients kept asking was: “What do we actually do next?”
- We start with your ICP and real buyer research journeys.
- We test those questions across multiple AI engines.
- We profile your content for AI-readiness.
- We deliver a ranked 90-day content roadmap.
In other words, we take the journey thinking that’s been in Odyssiant’s DNA since day one, and apply it to the new reality where AI is doing the reading – and often the recommending.
Where we’re going
We believe the next decade of marketing belongs to teams who can:
- See how AI answers shape their buyer journeys, not just how search rankings look.
- Connect content and decisions, not just content and traffic.
- Treat AEO/GEO as a repeatable discipline: audit → roadmap → delivery → retest.
Odyssiant exists to give those teams the tools, insight and structure to do that work – whether they’re in-house B2B marketing teams or agencies building AEO/GEO offers for their clients.
See it in action
If you’d like to see how this journey-first foundation plays out in the product today, you can explore more on the site or book a short walkthrough. For a plain-language summary of what we do, read our AI Information page.