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Content Marketing

Every buyer question gets an answer. Not every answer is a new page.

Sourcepath tracks the buyer questions that matter to you and records how AI engines answer them. From that evidence it works out what each question is actually worth to your team: a page you haven't written, a page you already have, work that belongs to another team — or one that's already being cited, and needs nothing from you.

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An illustration of a content roadmap as Sourcepath resolves it. Your Company tracks 24 buyer questions, and five of them are shown here, each grouped under the kind of work the evidence supports. Create New Content: "How do you build a customer data governance framework?" — No page on the domain is a strong enough match to build this on. "What should enterprise identity resolution cost?" — Nothing owned answers the pricing question buyers are actually asking. Revamp Existing Content: "Deterministic or probabilistic matching — which should we use?" — yourcompany.com/compare/matching-methods already covers this, and the evidence says where to take it. Third-Party Opportunities: "Which customer data platforms do enterprise teams actually recommend?" — The answers are drawing on review platforms, not on anyone's own pages. Monitoring: "What is identity resolution?" — AI providers are directly citing this page. No higher-impact action exists today. The page is yourcompany.com/guides/identity-resolution. The four groupings are Sourcepath's own: Create New Content, Revamp Existing Content, Third-Party Opportunities and Monitoring, in that order. Monitoring is a positive result — the page named under it is already being cited by AI providers, so no higher-impact content action exists for that question today. The environment shown is representative, not customer data.

The demand

Your buyers are already telling you what they want to know.

Sourcepath tracks the buyer questions that matter to your business and records how AI engines answer each one. Alongside keyword research and internal priorities, your team gets a third input: the questions shaping AI Search, and where the evidence says content deserves attention.

An illustration of the buyer questions a content team tracks in Sourcepath. 24 questions are tracked in total and twelve are shown, beginning with the five the previous section resolved: How do you build a customer data governance framework? What should enterprise identity resolution cost? Deterministic or probabilistic matching — which should we use? Which customer data platforms do enterprise teams actually recommend? What is identity resolution? How long does an enterprise identity resolution rollout take? What breaks when customer records don't match across systems? Do we need a CDP if we already have a data warehouse? How do you measure match accuracy? What does a customer data platform actually replace? Who owns identity resolution — data engineering or marketing? How do you handle consent across unified customer profiles? Each one is put to ChatGPT · Claude · Gemini · Perplexity on every scan, and Sourcepath keeps what came back. Nothing here is sorted or prioritised yet — that is what the next section does. The environment shown is representative, not customer data.

The four answers

Some questions need a page. The rest need a decision.

Sourcepath reads the evidence behind every tracked question and resolves it into the kind of work it actually warrants. Four answers, and only one of them puts something new on your team's plate.

An illustration of the four ways Sourcepath resolves a tracked buyer question, in the product's own order. Create New Content. Nothing you own answers this yet. For example, "How do you build a customer data governance framework?" — Nothing on the domain is a close enough match to carry it. What the team gets: A commission: the sections the page needs, and the evidence behind each one. Owned by: Your team. Revamp Existing Content. You already have the page. It needs work, not a replacement. For example, "Deterministic or probabilistic matching — which should we use?" — An owned page already covers the topic, and the evidence names what is missing from it. What the team gets: The existing page, with the required changes attached to the parts they belong to. Owned by: Your team. Third-Party Opportunities. Writing more won't move this one. For example, "Which customer data platforms do enterprise teams actually recommend?" — The answers are built on review platforms — surfaces no content team owns. What the team gets: The destination, classified, and the workstream that owns the response. Owned by: Another team. Monitoring. Something you published is already doing the work. For example, "What is identity resolution?" — AI providers are directly citing an owned page. No higher-impact action exists today. What the team gets: Nothing, until the evidence changes — and Sourcepath is watching for that. Owned by: Nobody, for now. Three of those four are a decision not to commission a new page. That's what makes the fourth one worth doing properly. Monitoring is a positive result rather than an absent one: it means an owned page is already being cited and no higher-impact content action exists for that question today. The environment shown is representative, not customer data.

Three of those four are a decision not to commission a new page. That's what makes the fourth one worth doing properly.

The commission

Every requirement can show you where it came from. Down to the section.

When the evidence supports a page, your team doesn't get a topic and a word count. They get the sections the page needs, what each one is for, what has to appear in it, and the cited pages that put it there.

An illustration of a Sourcepath content commission. It answers the tracked buyer question "How do you build a customer data governance framework?" and is planned as "Customer data governance: a framework for enterprise teams". H2 "What customer data governance actually covers", high priority. Recurring H2 topic across 6 of the 7 analyzed cited pages. It requires: Define the term before the framework — every cited page does. (evidenced by a, c); Name the roles that own it, not just the systems. (evidenced by a). Observed length across the cited pages: 240 to 410 words. H2 "Building the framework, step by step", high priority. Recurring H2 topic across 5 of the 7 analyzed cited pages. It requires: An ordered implementation sequence, not a list of principles. (evidenced by b, d); Cover consent and retention — both recur across the set. (evidenced by b). Observed length across the cited pages: 380 to 620 words. H2 "How governance changes at enterprise scale", medium priority. Recurring H2 topic across 4 of the 7 analyzed cited pages. It requires: A comparison structure — most of the set carries one. (evidenced by c, d). Observed length across the cited pages: 300 to 520 words. H2 "Common questions", medium priority. Recurring H2 topic across 5 of the 7 analyzed cited pages. It requires: An FAQ section with the questions the set keeps answering. (evidenced by a, b). The concepts the cited set keeps covering are data lineage, consent management, record retention, stewardship model, master data. Each requirement carries a footnote marker resolving to the cited page that evidenced it. a: analyst-brief.org, which evidenced Definition section, FAQ section, Named author. b: data-standards.org, which evidenced Implementation sequence, FAQ schema. c: industry-review.com, which evidenced Definition section, Comparison table. d: vendor-compare.io, which evidenced Comparison table, Implementation sequence. Hand that to a writer and the conversation stops being about what to cover. It's already been decided, and the reasons are attached. The environment shown is representative, not customer data.

Hand that to a writer and the conversation stops being about what to cover. It's already been decided, and the reasons are attached.

Execution

Write the page, or rewrite the section. Either way, the evidence comes with it.

By the time Sourcepath starts writing, it already has the buyer question, the decision, the plan, the requirements and the pages that evidenced them — along with your own site's language. Generation fills that in. It doesn't invent the page.

An illustration of Sourcepath turning a content plan into content. On the left, a new page: the approved plan for "Customer data governance: a framework for enterprise teams" — What customer data governance actually covers (2 requirements), Building the framework, step by step (2 requirements), How governance changes at enterprise scale (1 requirements), Common questions (1 requirements) — and the generate draft action that writes it. On the right, the first draft that comes back, built to that structure: Heading: What customer data governance actually covers. Customer data governance is the set of policies, roles and controls that decide how customer records are collected, matched, retained and used. It is usually owned jointly: data engineering holds the systems, and marketing operations holds the definitions. Heading: Building the framework, step by step. Start by agreeing what a customer record is before deciding where it lives. Most teams that skip this end up governing three definitions at once. The plan is the structure. Generation writes into it, and every block stays tied to the section it was written for. Below, an existing page: the requirement "Expand this section to cover probabilistic matching", the original copy — "Deterministic matching links records when identifiers match exactly. It is the most common approach and works well where identifiers are clean." — and the proposed replacement — "Deterministic matching links records when identifiers match exactly — reliable where identifiers are clean, and brittle where they aren't. Probabilistic matching scores the likelihood that two records describe the same person, which is what most enterprise teams fall back on once email addresses and phone numbers stop agreeing across systems." — with the settings Preserve Existing Voice, Longer, Readability, a regenerate action, and Apply to Working Copy. The settings change how it reads. They never change what it's written against. And where the evidence stops, your business starts. The cited pages say this page needs a pricing section. What the pricing actually is only you can say — so Sourcepath asks for it, and writes everything around it. The draft lives in Sourcepath: editable, recoverable, and still attached to the plan it came from. The environment shown is representative, not customer data.

And where the evidence stops, your business starts.

The cited pages say this page needs a pricing section. What the pricing actually is only you can say — so Sourcepath asks for it, and writes everything around it.

The draft lives in Sourcepath: editable, recoverable, and still attached to the plan it came from.

The review

The brief doesn't get filed away. It stays attached to the draft.

Every requirement stays connected to the section it was written for. When the draft comes back, you read it against what you actually commissioned — not against your memory of a plan from three weeks ago.

An illustration of a commissioned draft reviewed against the plan it was written from, in Sourcepath. The working copy is "Customer data governance: a framework for enterprise teams". What customer data governance actually covers: Define the term before the framework — every cited page does. In the draft — A definition appears in the opening two paragraphs. Name the roles that own it, not just the systems. In the draft — Data engineering and marketing operations are both named. Building the framework, step by step: An ordered implementation sequence, not a list of principles. In the draft — An ordered list of 6 steps is present. Cover consent and retention — both recur across the set. Not yet — "Retention" is covered. "Consent" does not appear yet. How governance changes at enterprise scale: A comparison structure — most of the set carries one. In the draft — A table with 5 rows and 3 columns is present. Common questions: An FAQ section with the questions the set keeps answering. In the draft — An FAQ heading with 6 question-and-answer pairs beneath it. 5 of 6, and the one that isn't there is named. Nothing in that list is an opinion about the writing. It's what you asked for, and what's actually there. Each line reports what the working copy contains against a requirement that was commissioned for it; none of it is a judgment about the writing or a prediction about how the page will perform. The environment shown is representative, not customer data.

Nothing in that list is an opinion about the writing. It's what you asked for, and what's actually there.

Questions

What content teams ask. About building a roadmap from AI-search evidence.

How do content teams build an AI-search content strategy?

Start from demand you can see. The questions your buyers put to an AI assistant are a real, observable brief — and the answers show who is already being named and what the cited pages actually contain. A roadmap built from that is a list of specific gaps rather than a list of topics somebody liked.

How does Sourcepath decide between new content and a revamp?

By checking whether anything you already own genuinely answers the question. If a real page matches, the work is a set of changes to that page; if nothing does, it plans a new one. The decision is made on the evidence rather than on which option somebody wants to argue for. See how each kind of work is drafted.

Can Sourcepath prioritize content opportunities?

Yes. Opportunities carry how often the question recurs, how many engines answered it, and what the cited pages already do — so a gap that shows up across several tracked questions reads differently from one that appeared once. That is what lets a team sequence work rather than run everything at once.

How does the evidence stay connected to the content work?

Every recommendation keeps a link back to the answers and cited pages it came from. When the evidence changes, the recommendation changes with it — and a finding that is no longer supported stops being presented as active work rather than sitting on the roadmap unchallenged.

Is this about using AI to write content?

No. It is about deciding what content is worth making, on evidence rather than instinct. Drafting exists further down the workflow, but it starts from a structure the evidence already justified — which is the opposite of generating volume and hoping.

Now see what Sourcepath finds about your brand.

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