SEO & AEO
AI cited a page. Sourcepath went and read it.
Sourcepath tracks the buyer questions that matter to you, and records what each AI engine answered and which sources it cited. Then it fetches those pages and analyzes their structure — so there is finally something specific to examine.
Already watching
Sourcepath doesn't go looking for pages to analyze. The answers hand them over.
Every scan puts the buyer questions you track to ChatGPT, Claude, Gemini and Perplexity, and Sourcepath keeps what came back — the answer, whether you appeared in it, and the sources it drew on. Which pages are worth examining isn't a list you write in advance. It's whatever got cited.
A representative environment, not customer data. Which sources an answer cites is recorded — never explained. Sourcepath has no access to how any model chose them.
What it reads
Eight extractors read one page. This is what they returned.
Not a checklist of things that were present — counts, hierarchies, values and dates, each recorded with the method behind it. Structure and schema are parsed, so those readings are deterministic. Classification, intent, audience and visual content are inferred, so those are recorded as heuristics with a confidence, and a low-confidence reading is never allowed to stand in as a fact.
What was observably in the page. Not a reason it was cited, and not a list of things to go and do.
What recurs
Not every observation becomes a recommendation.
Sourcepath starts from what it observed in the pages AI actually cited, never from a list of practices. One page's characteristic is an observation about that page. It becomes a finding about the set only where the evidence recurs across the cited pages relevant to the question.
Sourcepath spots the topics cited pages keep covering, too.
When a concept comes up again and again across the pages cited for a question — deterministic matching, data governance — and your page doesn't cover it, that gap becomes part of the evidence as well.
Once the evidence shows what matters, the next question is where to act.
Where the work goes
The obvious page isn't always the right page.
A finding doesn't tell you which of your URLs it applies to. Sourcepath reads the pages on your own domain the same way it read the cited ones, evaluates each against the finding, and says which one should take the work — and why the obvious candidate shouldn't.
How it decides
Sourcepath weighs relevance, intent and page type — including whether a page is even the right kind of content for the question — so an obvious-looking URL doesn't automatically become the page you're told to optimize.
And when nothing on the domain is a strong enough fit, Sourcepath says so and points at a new page rather than the nearest guess.
From evidence to done
Anyone can tell you to add an FAQ. Sourcepath tells you which page, then checks whether it's there.
A finding becomes a requirement attached to one opportunity and one page. You do the work — yourself, with the writing tools, or by handing it to whoever owns that page. Then a deterministic validator re-reads the working copy and reports what it found. Nothing is marked done because somebody said it was.
AI helps with the work, not the decision.
Sourcepath determines what the evidence supports first. From there, AI can assist with the implementation — from metadata and FAQs to structural content updates and more.
When it isn't yours
Some of this was never an SEO problem. Sourcepath will tell you that too.
The pages cited for your questions aren't all pages you could ever own. A review platform, an analyst, a reference site — the evidence is just as real, and the response belongs to a different part of marketing. Sourcepath classifies the destination and sends the work there instead of turning it into another ticket for you.
None of that is an SEO task, and Sourcepath doesn't dress it up as one. Where the work is yours, this page has shown you how it gets found, decided and checked.
Questions
What SEO and AEO teams ask. About the evidence behind an AI answer.
How does SEO for AI search differ from traditional SEO?
There is no results page to hold a position on. An assistant returns one answer, names a few companies and cites a few pages — so the unit of work is a question and the sources behind its answer, not a keyword and a rank. Much of the craft carries over; what changes is what you can observe and therefore what you can act on.
What should an SEO or AEO team actually monitor?
The questions your buyers ask, the answers each engine returns to them, the pages those answers cite, and how your own pages compare with the ones being cited. Those four together are enough to decide what to do next; any one of them alone is not.
Can Sourcepath analyze the pages AI engines cite?
Yes. Cited pages are fetched and analyzed for real structural signals — heading structure and depth, FAQ sections and FAQ schema, comparison tables, content depth, internal linking and structured data — and compared against your own page for the same question. That comparison is where a recommendation comes from.
How does cited-page evidence turn into optimization work?
Each finding is attached to a location. If six of nine cited pages answer a question yours never does, that becomes an FAQ to insert at a specific point; if your section is thin where theirs are substantive, that becomes an expansion of that section. The evidence stays attached, so any recommendation can be opened and checked. See how that work gets drafted.
What if the work is not on our site at all?
Sourcepath says so. When the answers to a question are assembled from a page you do not own, no change to your own site moves it — so the recommendation names the outside page, checks it for your brand, and routes the opportunity to the marketing workstream it belongs to instead. See how outside sources are traced.