Ecommerce

Your catalog isn’t one AI-search problem. It’s one for every product line.

Give each product line its own Project. Its own buyer questions, its own competitors, its own evidence — and its own reading.

Your Brandone catalog · four Projects

yourbrand.com · 53 tracked buying questions

The Project Library for one representative beauty brand: four Projects under yourbrand.com, 53 tracked buying questions between them. Complexion: 14 tracked questions, 3 competitors — Competitor One, Competitor Two, Competitor Three — 31 of 50 readings, 62 per cent, opening question Best foundation for dry skin. Lips: 11 tracked questions, 3 competitors — Competitor Four, Competitor Five, Competitor Six — 20 of 42 readings, 48 per cent, opening question Best long-lasting lip stain. Skincare: 16 tracked questions, 3 competitors — Competitor Seven, Competitor Eight, Competitor Nine — 35 of 61 readings, 57 per cent, opening question Best niacinamide serum for redness. Eyes: 12 tracked questions, 3 competitors — Competitor Ten, Competitor Eleven, Competitor Twelve — 6 of 44 readings, 14 per cent, opening question Best tubing mascara for straight lashes. Each Project lists a different set of competitors; no competitor appears in more than one. Eyes is the weakest Project at 14 per cent. Averaged into a single brand number the four readings come out at 47 per cent. The brand, products, competitors and figures shown are representative, not customer data.
Complexion62%Visibility

Best foundation for dry skin · 14 tracked

Competitor OneCompetitor TwoCompetitor Three
Lips48%Visibility

Best long-lasting lip stain · 11 tracked

Competitor FourCompetitor FiveCompetitor Six
Skincare57%Visibility

Best niacinamide serum for redness · 16 tracked

Competitor SevenCompetitor EightCompetitor Nine
Eyes14%Visibility

Best tubing mascara for straight lashes · 12 tracked

Competitor TenCompetitor ElevenCompetitor Twelve

Weakest Project

Your brand view looked healthy. One product line was almost invisible.

Sourcepath separates a catalog into Projects. Each one carries its own buyer questions, its own competitors and its own evidence — so a number that averages the whole brand can’t hide a product line that has stopped showing up.

The Project Library for one representative beauty brand: four Projects under yourbrand.com, 53 tracked buying questions between them. Complexion: 14 tracked questions, 3 competitors — Competitor One, Competitor Two, Competitor Three — 31 of 50 readings, 62 per cent, opening question Best foundation for dry skin. Lips: 11 tracked questions, 3 competitors — Competitor Four, Competitor Five, Competitor Six — 20 of 42 readings, 48 per cent, opening question Best long-lasting lip stain. Skincare: 16 tracked questions, 3 competitors — Competitor Seven, Competitor Eight, Competitor Nine — 35 of 61 readings, 57 per cent, opening question Best niacinamide serum for redness. Eyes: 12 tracked questions, 3 competitors — Competitor Ten, Competitor Eleven, Competitor Twelve — 6 of 44 readings, 14 per cent, opening question Best tubing mascara for straight lashes. Each Project lists a different set of competitors; no competitor appears in more than one. Eyes is the weakest Project at 14 per cent. Averaged into a single brand number the four readings come out at 47 per cent. The brand, products, competitors and figures shown are representative, not customer data.

The Project Libraryone catalog, four Projects, four readings

Your Brand4 Projects

Complexion

Foundation, concealer, skin tint

62%AI Visibility

14 questions3 competitorsLast scan 2d ago31 of 50 readings

Its competitorsCompetitor One · Competitor Two · Competitor Three

Lips

Lipstick, stain, oil, liner

48%AI Visibility

11 questions3 competitorsLast scan 2d ago20 of 42 readings

Its competitorsCompetitor Four · Competitor Five · Competitor Six

Skincare

Serums, cleansers, SPF

57%AI Visibility

16 questions3 competitorsLast scan 2d ago35 of 61 readings

Its competitorsCompetitor Seven · Competitor Eight · Competitor Nine

Eyes

Mascara, liner, lash care

14%AI Visibility

12 questions3 competitorsLast scan 2d ago6 of 44 readings

Its competitorsCompetitor Ten · Competitor Eleven · Competitor Twelve

Four Projects under one brand. Not one of the twelve competitors repeats across them — the field that answers a foundation question is not the field that answers a mascara question. Averaged into a single brand number these four readings come out at 47%, and nothing on this page would be worth opening.

“Wait. Eyes is basically invisible.”

Ecommerce / Product Marketing
The Eyes Project opened: 12 tracked questions · 3 tracked competitors · 7 scans · 44 readings in the latest. Its buying questions include Best tubing mascara for straight lashes; Best mascara that doesn’t smudge under the eyes; Best waterproof eyeliner for oily lids; Best brown mascara for everyday wear; Best lash primer for short lashes. Its tracked competitors are cited Competitor Ten in 9 of 12, Competitor Eleven in 7 of 12, Competitor Twelve in 4 of 12. Three organisations nobody is tracking are also cited — lashlab.co in 8 of 12, tubelift.com in 6 of 12, miyabi-cosmetics.jp in 5 of 12 — shown by domain, because a discovered organisation is a citation domain no one added as a competitor and the product never invents a company name from a hostname. The companies, domains and figures shown are representative, not customer data.

Open the Eyes Projectits own questions, its own competitors, its own history

ProjectEyes12 tracked questions · 3 tracked competitors · 7 scans · 44 readings in the latest

This Project’s buying questions

Best tubing mascara for straight lashesOpened below
Best mascara that doesn’t smudge under the eyes4 engines
Best waterproof eyeliner for oily lids4 engines
Best brown mascara for everyday wear3 engines
Best lash primer for short lashes4 engines

Five of 12. Every one of them belongs to this Project and to no other.

Who is actually in these answers

Tracked in this Project

Competitor TenCited in 9 of 12
Competitor ElevenCited in 7 of 12
Competitor TwelveCited in 4 of 12

Nobody is tracking these

lashlab.coCited in 8 of 12
tubelift.comCited in 6 of 12
miyabi-cosmetics.jpCited in 5 of 12

Shown by domain, because that is all Sourcepath knows. A discovered organisation is a citation domain no one added as a competitor; the product never invents a company name from a hostname.

“Those aren’t even the brands we track.”

Ecommerce / Product Marketing
One question from the Eyes Project, "Best tubing mascara for straight lashes", asked of four monitored engines. ChatGPT named Competitor Ten and lashlab.co, citing 3 pages. Claude named Competitor Ten and Competitor Eleven, citing 2 pages. Gemini named Competitor Eleven and tubelift.com, citing 2 pages. Perplexity named Competitor Ten and Competitor Twelve, citing 2 pages. Your Brand was not named by any of the four, and its own product page was cited none of the 9 times. The companies, domains and figures shown are representative, not customer data.

One question, four engines“Best tubing mascara for straight lashes”

ChatGPTCompetitor Tenlashlab.co3 pages cited
ClaudeCompetitor TenCompetitor Eleven2 pages cited
GeminiCompetitor Eleventubelift.com2 pages cited
PerplexityCompetitor TenCompetitor Twelve2 pages cited

Your BrandNot named by any of the four · your product page cited 0 times of 9

The brand's own product page at yourbrand.com/eyes/lift-tubing-mascara, shown as its modules. Already complete: Title, price, shade, Shade and finish attributes, Ingredients, Reviews. Sourcepath recommends work on the rest. Expand section: Say what a tubing formula actually does: how it wraps the lash, how it removes with warm water, and how it wears on straight lashes. — Stated on 6 of 9 cited pages. Add section: How to apply on straight or short lashes — Heading observed on 5 of 9 cited pages. Insert FAQ: Does tubing mascara hold a curl on straight lashes? — Answered on 7 of 9 cited pages. Create comparison table: Tubing vs. waterproof vs. washable — Present on 6 of 9 cited pages. Add coverage: Lash curl retention — Referenced on 7 of 9 cited pages, absent from your content. Three of those modules are absent from the page entirely and are drawn as absent. At page level, Question-style headings, Supporting internal links are already addressed; open are Add schema: Product structured data; Add schema: FAQ structured data; Monitor new source: a buying guide first cited in June. The page and figures shown are representative, not customer data.

The product page you already ownthe work attaches to the modules, not to paragraphs

yourbrand.com/eyes/lift-tubing-mascara

Title, price, shade

Complete

Description

“A weightless tubing formula for clean, clump-free length.”

Expand sectionRevision

Say what a tubing formula actually does: how it wraps the lash, how it removes with warm water, and how it wears on straight lashes.

Stated on 6 of 9 cited pages

Expand Section

Shade and finish attributes

Complete

How to apply

Not on the page

Add sectionInsertion

How to apply on straight or short lashes

Heading observed on 5 of 9 cited pages

Add Section

Ingredients

Complete

Reviews

Complete — 1,204 ratings

Questions shoppers ask

Not on the page

Insert FAQInsertion

Does tubing mascara hold a curl on straight lashes?

Answered on 7 of 9 cited pages

Insert FAQ

How it compares

Not on the page

Create comparison tableInsertion

Tubing vs. waterproof vs. washable

Present on 6 of 9 cited pages

Create Comparison Table

Concept coverage

One concept the cited pages keep returning to never appears on your page.

Add coverageRevision

Lash curl retention

Referenced on 7 of 9 cited pages, absent from your content

Add Coverage

Applies to the whole page

Done — Question-style headingsDone — Supporting internal linksOpen — Add schema · Product structured dataOpen — Add schema · FAQ structured dataOpen — Monitor new source · a buying guide first cited in June

“Our page has the product. It’s missing what shoppers are actually asking about it.”

Ecommerce / Product Marketing
An outside page the brand does not own: "The Best Tubing Mascaras of 2026", published by The Edit Report, an industry buying guide, at theeditreport.com/beauty/best-tubing-mascaras. By Mara Liang · Updated July 2026. The recommended opportunity is to pitch your brand for inclusion in it. It recurs across 4 of the Eyes Project's buying questions. Checking the page itself: Competitor Ten is listed, Competitor Eleven is listed, lashlab.co is listed, Your Brand is not found. The opportunity belongs to the Lists & Comparisons workstream as an outreach opportunity. The publication, author, companies and figures shown are representative, not customer data.

And one page you don’t own9 cited pages were somebody else’s; one keeps coming back

The opportunity

Pitch Your Brand for inclusion

The Best Tubing Mascaras of 2026

Why this page
Recurring across 4 Eyes buying questions
What’s missing
Your Brand isn’t listed
Where the work goes
Lists & Comparisons → Outreach Opportunity

Why this source is worth your attention

The Edit Report keeps appearing around the mascara questions your Eyes Project tracks — and Your Brand isn’t included. Sourcepath surfaces it as a focused earned-media opportunity for this product line, rather than one source among hundreds.

The Edit ReportIndustry Buying Guide

The Best Tubing Mascaras of 2026

theeditreport.com/beauty/best-tubing-mascaras

By Mara Liang · Updated July 2026

Competitor TenListed
Competitor ElevenListed
lashlab.coListed
Your BrandNot found

Because this source recurs in Eyes — not across the rest of the catalog — the opportunity stays with the product line it actually affects.

The same four Projects read again six scans later: Complexion from 62 per cent, 31 of 50 readings, to 64 per cent, 32 of 50; Lips from 48 per cent, 20 of 42 readings, to 55 per cent, 23 of 42; Skincare from 57 per cent, 35 of 61 readings, to 59 per cent, 36 of 61; Eyes from 14 per cent, 6 of 44 readings, to 41 per cent, 18 of 44. The Project that was almost invisible. Same 12 questions, same four engines, six scans apart. Separately, and as chronology rather than cause, the work that happened in between inside the Eyes Project was: 12 Project recommendations completed, 3 product pages revamped, 1 comparison page created, 2 external opportunities addressed. The figures shown are representative, not customer data.

Six scans later

Same four Projects. You can see exactly which one moved.

Complexion62%31 of 5064%32 of 50Steady. Nothing here needed attention, and nothing here changed.
Lips48%20 of 4255%23 of 42Three more of the same questions now name the brand.
Skincare57%35 of 6159%36 of 61Steady.
Eyes14%6 of 4441%18 of 44The Project that was almost invisible. Same 12 questions, same four engines, six scans apart.

The work that happened in between, inside the Eyes Project

12Project recommendations completed
3product pages revamped
1comparison page created
2external opportunities addressed

Every percentage is that Project’s own AI Visibility — the share of its own tracked question and engine readings in which the brand appeared, in one scan of that Project. The counts beneath each figure are the readings behind it. Brand, products, competitors, discovered domains, publication and figures shown are representative, not customer data.

Explore Sourcepath

One evidence system. Four ways to put it to work. Explore each Sourcepath intelligence layer.

Four Sourcepath capabilities as they apply to an ecommerce brand. AI Search Intelligence: how four monitored engines answer one shopper question, "Best tubing mascara for straight lashes" — ChatGPT named 2, citing 3 pages; Claude named 2, citing 2 pages; Gemini named 2, citing 2 pages; Perplexity named 2, citing 2 pages; Your Brand wasn’t named in any of the four. Competitive Intelligence: the competitor set each Project carries — Complexion: Competitor One, Competitor Two, Competitor Three; Lips: Competitor Four, Competitor Five, Competitor Six; Skincare: Competitor Seven, Competitor Eight, Competitor Nine; Eyes: Competitor Ten, Competitor Eleven, Competitor Twelve. Plus 3 nobody was tracking, named by domain. Content Studio: the changes attached to the modules of one owned product page — Expand section on Description; Add section on How to apply; Insert FAQ on Questions shoppers ask; Create comparison table on How it compares; Add coverage on Concept coverage. Brand & Influence: an outside buying guide, "The Best Tubing Mascaras of 2026" from The Edit Report, checked name by name — Competitor Ten listed, Competitor Eleven listed, lashlab.co listed, Your Brand not found. The brands, products, publication and figures shown are representative, not customer data.

See what AI recommends as shoppers get specific — product line by product line.

AI Search Intelligence

Explore AI Search Intelligence

See which brands compete for each buying conversation, not just the ones on your list.

Competitive Intelligence

Explore Competitive Intelligence

Turn shopper language and cited-page evidence into specific product and category page changes.

Content Studio

Explore Content Studio

Find the outside lists, reviews and comparisons shaping product recommendations.

Brand & Influence

Explore Brand & Influence

The evidence

Every finding comes with the evidence behind it.

How Sourcepath keeps evidence attached, shown as a four-part chain for an ecommerce finding. First, the answer one monitored engine returned. Second, the page that answer cited: The Edit Report/beauty/best-tubing-mascaras, "The Best Tubing Mascaras of 2026". Third, what was verified on that page by checking each name against its text: Competitor Ten listed, lashlab.co listed, Your Brand not found. Fourth, the finding drawn from all three: This page recurs across 4 of the Eyes Project’s buying questions, and Your Brand is not on it. Three further properties hold across every finding. Evidence stays attached — Open any finding and see what supports it.. Evidence stays in its Project — A mascara signal never lands in your skincare reading.. Findings change with the evidence — When the evidence moves, the finding moves.. The publication, companies and figures shown are representative, not customer data.

Questions

What ecommerce teams want to know. Clear answers, grounded in the evidence.

Can I create a separate Project for each product line?

Yes — that is how most catalogs are set up. A Project is its own monitoring context, and one workspace holds as many as your catalog needs. The example on this page runs four: Complexion, Lips, Skincare, Eyes, 53 tracked buying questions between them.

Does each Project have its own Prompt Library?

Yes. Tracked questions belong to the Project you add them to and appear nowhere else, so a mascara question never turns up in your skincare reading. You can build each Project's library from scratch or start from a shared starter pack and edit from there.

Can different Projects track different competitors?

Yes, and they usually should. Competitors are set per Project, not per account, because the brands competing for a foundation answer are rarely the brands competing for a mascara answer. Each Project's competitive reporting is computed against its own set.

Can I see which brands and products AI names for shopper questions?

Yes. For every tracked question Sourcepath records what each monitored engine answered, which organisations were named in that answer, and which pages it cited. What you get is the observed answer and its sources — not a guess about why an engine chose what it chose.

What about competitors we never added?

They still show up. Any site cited often enough in your Project's answers is surfaced as a discovered organisation alongside the ones you track. It is identified by its domain, because a domain is what was actually observed — Sourcepath will not invent a company name from a hostname. In the Eyes example, three of the most-cited names were sites nobody had added.

Can Sourcepath analyze ecommerce product and category pages?

Yes. Pages are fetched and analyzed for real structural signals — headings and their depth, FAQ sections and FAQ schema, comparison tables, content depth, internal linking and structured data — and compared against the pages AI actually cited for the same question. The recommendations you get are specific changes attached to the part of the page they belong to.

Can Sourcepath find the outside lists, reviews and comparison pages behind AI answers?

Yes. Sourcepath groups the cited pages by destination and classifies them — buying guides, review platforms, media, community, marketplaces and more — then shows how often each recurs across that Project's questions, and checks the page itself for your brand and your competitors by name. Each one routes to the marketing workstream it belongs to.

Can I compare a Project's visibility over time?

Yes. Every Project keeps its own scan history, so you can read the same Project at two points and compare like for like. Comparisons run over the questions that completed in both scans, and every figure carries the readings behind it — 6 of 44, not a percentage on its own. See how Sourcepath reports on that.

Can several product lines or brands live in one workspace?

Yes. Projects sit side by side under one organisation, each with its own questions, competitors, scans and findings, and the Project Library reads all of them at once. Worth knowing up front: access is granted at the organisation level, so everyone in the workspace can see every Project — there are no per-Project permissions today.

How can an ecommerce brand optimize for AI search?

Separate the catalog into Projects — one per product line — so each carries its own shopper questions, its own competitors and its own evidence. Sourcepath then shows, per product line, which brands AI names, which pages it cites, what your product and category pages are missing, and which outside lists keep shaping the answer. See how SEO and AEO teams run this.

See which product lines AI is finding — and which ones it's missing.