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Use these handy FAQs as a first stop to get answers.
The Market Map is a structured picture of every moment your customers care about in your category, sized by demand and attributed to whoever currently owns it. It is built by analysing intent signals across search, market data and industry sources, then layering in your brand positioning, your competitive landscape, your personas and your customers' stated needs.
Scale varies by category. A recent UK retail map covered 152,428 customer moments across 776 subtopics. The point is not the volume, it is that everyone in the business is finally looking at the same picture of reality.
A Market Map is assembled from category demand signals, competitor visibility across those signals, your own brand and positioning context, defined personas with their needs and objections, and structured intent topics and subtopics for the category. On top of that sit generated opportunities and recommendations, scored and prioritised.
Where clients have them, we also connect first party sources such as analytics, search console and CRM data, so the map can be reconciled against actual commercial outcomes.
The Market Map is built for marketing leaders who have to justify where budget goes and prove it worked. That usually means a CMO or marketing director, a head of digital or growth, and the channel leads who turn strategy into activity. It is most valuable in organisations where marketing is split across channels, agencies or markets, and where nobody currently holds a single shared view of demand.
Analytics and SEO tools measure your own performance. A Market Map measures the market. GA4 tells you what happened on your site. Ahrefs and Semrush are rank trackers for search and llms. Neither answers the question a CMO actually has, which is where cusotmer demand lives, how much of it you capture, and where you should try to win it.
In practice this shows up as unattributed demand. In one category analysis we found roughly 40% of visibility at the decision stage was going to nobody in the client's competitive set. That gap is invisible in a rank tracker and obvious in a Market Map.
It's all three. The platform holds your Market Map, Share of Intent and the context layer that connects to your LLMs. The framework – Strategic Clarity, Align & Prioritise, Decision Velocity – is how that turns into decisions. And the service is us: consultancy, enablement and hands-on delivery across SEO, paid, content, CRO and web when you want it. You can start with the platform on its own and add the rest as you need it.
IntentOS runs in three stages: Strategic Clarity, Align and Prioritise, and Decision Velocity. Each one builds on the last, and the sequence always ends in a shipped decision rather than a document. The stages exist to solve three separate failures: not seeing the market clearly, not agreeing on what matters, and not acting fast enough once you do.
Share of Intent is the proportion of total category demand your brand currently captures. It is calculated as your own brand's presence across mapped intent signals divided by the total market intent in the category. Unlike share of voice, which measures how loudly you are talking, Share of Intent measures how much of the actual customer demand you are meeting.
It is the single number that tells a CMO where the brand stands today.
Future Share of Intent is a leading indicator that shows where demand is heading before it shows up in your results. It is derived from trend movement across mapped topics and intents, so it surfaces categories that are growing or declining while there is still time to act.
Most marketing measurement is lagging by design. Future Share of Intent exists so that a shift in customer behaviour reaches the planning conversation before it reaches the revenue report.
Future Share of Market translates intent trends into a commercial forecast over 12, 24 and 36 months. It is the metric that connects a marketing observation to a finance conversation, because it expresses movement in customer intent as projected movement in market share.
The IntentOS MCP is a Model Context Protocol server that lets AI assistants query the live Market Map directly. Rather than exporting data into a spreadsheet and pasting it into a chat window, a marketer can connect their assistant to IntentOS and ask questions of the real data: which subtopics are growing, where a competitor is beating us, what the personas say about a given objection.
This is the part that makes IntentOS an operating system rather than a report. The strategy layer is queryable by the tools your team already uses.
MCP is an open standard for connecting AI assistants to external data and tools. It matters because it means IntentOS does not need to own your marketing stack in order to orchestrate it. Most enterprise marketing platforms solve orchestration by ownership: they want to be your CMS, your CDP, your DAM and your workflow tool, and the integration works because everything is theirs.
IntentOS solves orchestration by protocol instead. It owns none of those layers and reaches them through MCP. That means faster deployment, no rip and replace, and no vendor lock-in on the systems you already pay for.
Yes. Tasks move through the statuses you'd expect: to do, in progress, in review, complete. Assign an owner, set priority and a due date, group tasks into projects, tag them with labels, and break bigger jobs into subtasks.
Two reasons: Firstly, it makes decision velocity measurable rather than a claim. Every recommendation in IntentOS logs three timestamps: when the insight surfaces, when it gets approved, and when the task is created. That third moment, the task landing in the system, is what marks insight becoming action. Secondly, it provides machine learning feedback. Its how your model gets smarter. Skip the native task function and you lose the ability to improve your productivity and your data model.
Yes. Tasks created in IntentOS can be pushed to other systems through MCP or API integrations, including Jira and Asana. IntentOS holds the record and the timestamps. Your existing tools are where the day-to-day work happens.
A short programme to get you live and acting on insight fast. We build your Market Map (topics, competitors, personas and intent signals), configure IntentOS to your category and data sources, connect it to your LLM of choice – Claude, ChatGPT or Microsoft Copilot – and then run a strategy session to set objectives and get the first round of actions planned and moving. Scope depends on your data sources, integrations and complexity.
This is how you manage your productivity and efficiency when using LLMs and AI in marketing. The number of confident, data-backed decisions your team makes on a consistent basis, and how fast insight turns into action. Most teams measure output. We think the better measure of a marketing function is the quality and speed of its decisions, so IntentOS tracks the time from decision to implementation and helps you shorten it.
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If you have any questions about the Market Map or how we work, just ask. We’re here to help.