Label legendmeasuredconsensusderivedassumptionno data
01At a glance
671,535
Monthly situation search volume
11
CEPs · 3 situations without link evidence listed separately
3
Unclaimed situations
28.7%
Largest CEP share · 肌荒れが気になるとき
Start here
1肌荒れが気になるときUnclaimed situation volume 27,997Brands already show up here (leader: 無印) → challenge with differentiated content & search; defend if it's yours
2肌のたるみが気になるときUnclaimed situation volume 17,706Brands already show up here (leader: メディキューブ) → challenge with differentiated content & search; defend if it's yours
3肌の赤みとニキビが気になるときUnclaimed situation volume 15,028Brands already show up here (leader: ダイソー) → challenge with differentiated content & search; defend if it's yours
Unclaimed situation = a CEP where no brand was detected in its journeys or SERPs · Unclaimed situation volume = situation volume × (1 − brand fit). Situation volume is a proxy for how often the moment happens, not the volume of category-name searches
Brands already show up here (leader: REJURAN) → challenge with differentiated content & search; defend if it's yours evidence strong
3 situations with no search evidence linking to PDRNクリーム (category-expansion candidates)
No searches or mentions leading from these situations to PDRNクリーム were found. They are not counted as existing demand (power 0%); treat them as a separate category-expansion task: getting people to think of PDRNクリーム in these moments.
Click a column header to sort by it · click a CEP name to jump to its detail card
Power = this situation's share of all CEP situation searches (bigger = wider door in) · Brand competition = whether brands show up in this situation's journeys/SERPs · Evidence = strength of the supporting search evidence (strong/medium/weak)
03Content opportunityderived
big needs the category does not reach yet
Three numbers per situation: how big the situation is (a ceiling), how strongly it already leads to the category (connection signal), and the difference (unconnected searches). The bigger the difference, the sooner content should make the connection.
671,535Situation searches (monthly, ceiling)
0.37Average connection (search-weighted)
420,367Unconnected searches (monthly, content opportunity)63% of situation searches
“ビタミンB群や引き算ケアだけでなく、PDRNクリームで肌のバリア機能をサポートし、乾燥による肌荒れを穏やかに整えるケアを試してみませんか。”Where they meet: バリア機能の低下や乾燥による肌荒れが気になる時、徹底保湿と肌のコンディションを整えるケアとしてPDRNクリームが注目されています。
“市販薬や低刺激日焼け止めに加え、PDRNクリームで肌のバリア機能をサポートし、乾燥による赤みを穏やかに整えるシンプルケアを試してみませんか。”Where they meet: 乾燥や炎症による肌の赤みが気になる時、PDRNクリームは低刺激で肌のコンディションを整え、保湿をサポートするケアとして注目されています。
“エイジングケア初心者の方も、PDRNクリームで肌の乾燥やハリ不足にアプローチし、健やかな肌印象を保つケアを始めてみませんか。”Where they meet: 肌の乾燥やハリ不足といったエイジングサインが気になる時、PDRNクリームは高い保湿力と肌のコンディションを整える成分としてエイジングケアをサポートします。
Situation searches = how often the situation occurs (monthly average): the largest size the category could serve, not the number of people solving it with the category. Connection signal = the average of search connection (direct 1 · linked 0.67 · weak 0.33 · none 0) and AI-answer connection (share of the situation's representative results that name the category; AI Overview or citation 1, other results 0.5), measured parts only. Unconnected = situation searches × (1 − connection). Quadrant cut-offs: median situation searches 8,382 · connection 0.5. 'Not measured' means no results were fetched for that situation; 0 means measured with no mention.
Cell = that month's average volume ÷ overall monthly average (1.0 = average). Bold = peak month.
Monthly search volume per situation over 48 measured months: when and how often each situation occurs. Combined with survey data, it shows both the size of a situation and how it changes.
Rule: growing/declining = trailing 12-month sum vs the prior 12 months ±20% or more / peak month = calendar-month index ≥1.30 / seasonal = max ÷ min month index ≥1.8. Monthly values are measured monthly search volumes [measured]; CEP series are sums over measured measured queries [derived]. Unlike survey CEP power (share of respondents), this frequency is search occurrence.
05Defend, grow, claimderived
which situations to hold, build and take
Defend (we lead) (0)
–
We lead here. Keep our presence in this situation's queries and AI answers; if contested, track the runner-up's content.
Grow (present, not leading) (0)
–
Present but behind. Concentrate content and search ads where the gap to the leader is smallest (situations where our share is low have the most room to grow).
Open has two kinds: measured with no brand mentions is a claim candidate; unmeasured needs a deep run or survey before claiming.
Contested = gap between #1 and #2 ≤10pt · dispersed = leader share <35% · HHI = sum of squared shares. Core CEPs (power ≥ median) are filled, others faded. Unmeasured are dashed (unknown, not empty).
06CEP power
each situation's share of all situation searches
total 11 CEP · [derived] power = the CEP's search volume ÷ total volume of all CEPs
3 situations with no evidence linking to the category are left out of this chart (power 0%).
07Brand × entry situation
claimed vs. open (all CEPs)
Brand links measured for 11 of 14 entry situations · the other 3 are graded as opportunities. Small k/m in a cell = brand-mention sample (small m = low confidence).
無印
メディキューブ
ダイソー
Anua
VT
リジュオール
Medicube
REJURAN
肌荒れの悩み28.7%
56%
25%
11%
6%
2%
·
·
·
肌のたるみの悩み18.1%
·
71%
29%
·
·
·
·
·
赤みとニキビ15.4%
·
35%
65%
·
·
·
·
·
乾燥肌対策14.4%
60%
33%
·
5%
2%
·
·
·
エイジングケア10.3%
99%
·
·
·
1%
·
·
·
魚アレルギーのスキンケア5.0%
60%
33%
·
5%
2%
·
·
·
授乳中の肌ケア4.6%
60%
33%
·
5%
2%
·
·
·
韓国スキンケア1.5%
48%
·
·
6%
8%
30%
3%
7%
毛穴ケア1.3%
4%
74%
9%
4%
1%
0%
8%
·
ニキビ跡ケア0.9%
35%
53%
·
7%
2%
3%
·
·
ツヤ肌no link evidence
No search evidence linking to PDRNクリーム: a category-expansion task, not existing demand no link evidence · mo. 6,722
ダウンタイム中のケア0.0%
·
·
·
·
·
·
·
100%
肌質改善no link evidence
No search evidence linking to PDRNクリーム: a category-expansion task, not existing demand no link evidence · mo. 36,696
シミの悩みno link evidence
No search evidence linking to PDRNクリーム: a category-expansion task, not existing demand no link evidence · mo. 5,299
[derived] · colored cell = measured share (k/m sample) · green/amber row = land-grab opportunity (no brand linked, by situation size) · gray row = small · "·" = not queried (no data ≠ 0)
ツヤ肌no link evidencelink rate 0% · low · 0/28 paths
Link rate = share of search paths through this situation whose later queries contain a category term (PDRNクリーム) [derived]. low <20% · high ≥50%. Power ≥ median and low = category-growth candidate (the situation is big but the category is not chosen yet). Only journeys starting from the situation term are used; the category-anchor journey is excluded (linked by construction). CEPs whose own queries already contain the category term are skipped.
09W-axis mixassumption
where this map's situations cluster
Why · purpose/benefit12 CEPs · power sum 90%
Who · for whom2 CEPs · power sum 10%
When · timing/trigger0 CEPs · power sum 0%
Where · place0 CEPs · power sum 0%
While · doing what0 CEPs · power sum 0%
With whom0 CEPs · power sum 0%
Feeling · mood0 CEPs · power sum 0%
BEP (benefit entry points): 0 / 14
Empty axes: When · timing/trigger, Where · place, While · doing what, With whom, Feeling · mood. This is where a candidate list may be trapped in the designer's hypotheses; add entry-situation candidates on these axes in the next run's review step.
The W-axis shows the angle each CEP arises from (why, for whom, when, where, while doing what, with whom, feeling) [assumption]; when scene-7W evidence exists, the most populated axis is used [derived]. BEP = entries where the desired outcome comes first, like why or feeling.
10Evidence grade
What the qualitative attributes rest on
Nano intents, KBFs, constraints, avoidances, thresholds and reasons to believe carry one of four labels. Measured means the condition exists as real search queries with measured monthly volume. Consensus means Google's SERP and AI Overview state the same thing across several queries. A SERP is ranked and summarized from the click feedback of the people who searched that query, so content that repeats across queries and independent sources is read as what that society agrees on about the topic.
measured 31%consensus 56%derived 11%
measured48 · exists as search queries, monthly volume measured
consensus88 · repeated in SERP/AIO of 2+ queries (or 3 independent sources)
derived17 · found in a single SERP sentence
assumption3 · interpretation without direct evidence
Based on the 156 qualitative attributes in this report; each counts once, at its strongest evidence.
Sum of monthly volume of measured queries that state the attribute's condition: queries containing its key terms verbatim, or queries that say the condition in other words (condition word checked, passed a separate review). Attributes hitting the same query set are merged. Trend uses 48 months of monthly volume (last 12 vs prior 12 months).
Content that recurs in the SERP/AI Overview of several queries. The number of queries and their summed monthly volume is the size of the consensus. This layer covers what search volume cannot measure directly: cautions, recommended values, reasons to believe.
11Search data used in this report
A CEP is a situation that many search signals point to together, not a single keyword. This shows how much related-search, search-path, search-cluster, SERP text, PAA and AI Overview data was collected, and which of it served as evidence for each CEP's scene (when, where, why, with whom) and its nano context, KBF, constraints and avoidances.
Data
Collected
Used as CEP evidence
Related searches
46
in the dossiers of 14/14 CEPs times cited for attributes/7W: related searches 49
Search paths
521 paths (incl. 2 deep-measurement paths)
in the dossiers of 5/14 CEPs times cited for attributes/7W: previous search in path 1, next search in path 24, searched in the same path 7
Search clusters
17 clusters · 417 queries
in the dossiers of 0/14 CEPs
SERPs (Google results)
32
in the dossiers of 14/14 CEPs times cited for attributes/7W: top results 81, AIO citations 4
AI Overview
26
in the dossiers of 14/14 CEPs times cited for attributes/7W: AIO 142
CEPs surface in different places depending on the topic and situation: some in search paths, some in clusters or related searches, some in AIO and PAA. Left: share of the CEP's measured query volume found in each source (discovery). Right: how often each source was cited for the scene 7W and attributes. 'none' means that source never reached this CEP.
Scene: when, where, why, with whom MomentNeed recognizedLooks further
When
生理前夏
Why
バリア機能の低下乾燥摩擦睡眠不足過度なストレス
While doing
マスク着用時髭剃り後
Feeling
カサつき赤みニキビゴワゴワシミ
Only items confirmed by evidence pointers into search queries, the searches just before in search paths, same-cluster queries, and SERP lines. Hover the dotted underline to see the evidence.
Where this situation showed up (share of search volume) related searches 9% · mined from paths/clusters/AIO 91%
no search paths, search clusters data reached this CEP
No category brand is mentioned anywhere in the SERPs of the 2 queries for this situation. Search AI does not bring up any brand here yet (room to claim it).
Appendix: AI search exposure
AI tracking questions assumption
1“肌荒れが気になるときにおすすめのクリームは？”existing prompt
2“マスクによる肌荒れを防ぐ方法は？”
3“生理前の肌荒れ対策に効果的なスキンケアは？”
Questions this situation's consumers may ask an AI; used to track AI-response exposure
Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.
Scene: when, where, why, with whom MomentNeed recognizedLooks further
Where
頬や小鼻の横目元フェイスライン
Why
ストレス加齢コラーゲンやエラスチンの減少表情筋の衰え乾燥
Feeling
たるみ毛穴赤みシミくすみ
Only items confirmed by evidence pointers into search queries, the searches just before in search paths, same-cluster queries, and SERP lines. Hover the dotted underline to see the evidence.
Where this situation showed up (share of search volume) related searches 16% · AIO 89% · PAA 89% · mined from paths/clusters/AIO 84%
no search paths, search clusters data reached this CEP
No category brand is mentioned anywhere in the SERPs of the 2 queries for this situation. Search AI does not bring up any brand here yet (room to claim it).
Appendix: AI search exposure
AI tracking questions assumption
1“肌のたるみを改善する方法は？”existing prompt
2“たるみ毛穴に効果的なクリームは？”
3“肌のたるみケアにおすすめの製品は？”
Questions this situation's consumers may ask an AI; used to track AI-response exposure
Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.
Scene: when, where, why, with whom MomentNeed recognizedLooks further
Where
頬や鼻
Why
乾燥やニキビによる炎症アクネ菌の増殖や毛穴の炎症食べ物が原因
Feeling
ストレスほてり、ヒリヒリ感、痛み
Only items confirmed by evidence pointers into search queries, the searches just before in search paths, same-cluster queries, and SERP lines. Hover the dotted underline to see the evidence.
Where this situation showed up (share of search volume) related searches 78% · search paths 88% · AIO 39% · PAA 39%
Scene names are [assumption] bonded to quoted evidence · volume is the measured sum of scene-attributed queries [derived] · evidence-less scenes are discarded by code
Search journey: just before and after derived
Adjacent transitions aggregated from 199 measured paths; an aggregate graph flow, not one person's timeline
Bridging message assumption
Where they meet乾燥や炎症による肌の赤みが気になる時、PDRNクリームは低刺激で肌のコンディションを整え、保湿をサポートするケアとして注目されています。
皮膚科医の推奨 ‹皮膚科受診が最善の解決策です。›derivedAIOno source link美的.comやVOCEの解説 ‹same evidence ↑›consensusAIOno source link
Emotion & style
安心感 ‹優しく洗う: 摩擦を避け、しっかり泡立てた低刺激の洗顔料を使い、ぬるま湯で洗い流す。›derivedAIOno source link
Alternatives (outside category)
市販薬 ‹市販薬や自己流ケアで悪化した›derivedAIOno source link低刺激タイプの日焼け止め ‹same evidence ↑›consensusAIOno source link
Selection axes (market · fit · provability)
Market size54
Brand fit0
Provability100
Top of CEP brands
Brands AI search names here (AIO) derived
No category brand is mentioned anywhere in the SERPs of the 2 queries for this situation. Search AI does not bring up any brand here yet (room to claim it).
Appendix: AI search exposure
AI tracking questions assumption
1“肌の赤みが続いているときにおすすめのクリームは？”existing prompt
2“ニキビの赤みを抑えるためのスキンケアを教えてください。”
3“乾燥による赤みを和らげる方法を知りたいです。”
4“赤みが気になるときに使える低刺激のクリームはありますか？”
Questions this situation's consumers may ask an AI; used to track AI-response exposure
Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.
Scene: when, where, why, with whom MomentNeed recognizedLooks further
When
寒い季節入浴後や洗顔後
Why
乾燥肌が気になる肌がつっぱる
Feeling
肌が敏感になっている
Only items confirmed by evidence pointers into search queries, the searches just before in search paths, same-cluster queries, and SERP lines. Hover the dotted underline to see the evidence.
Where this situation showed up (share of search volume) related searches 14% · AIO 14% · mined from paths/clusters/AIO 86%
no search paths, search clusters data reached this CEP
No category brand is mentioned anywhere in the SERPs of the 2 queries for this situation. Search AI does not bring up any brand here yet (room to claim it).
Appendix: AI search exposure
AI tracking questions assumption
1“乾燥肌に効果的なクリームを探す”existing prompt
2“敏感肌でも使えるスキンケアを選ぶ”
3“乾燥肌対策に最適な製品を知りたい”
Questions this situation's consumers may ask an AI; used to track AI-response exposure
Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.
Scene: when, where, why, with whom MomentNeed recognizedLooks further
When
魚アレルギーがあるとき
Why
肌の赤みや炎症が気になる
Only items confirmed by evidence pointers into search queries, the searches just before in search paths, same-cluster queries, and SERP lines. Hover the dotted underline to see the evidence.
Where this situation showed up (share of search volume) related searches 40% · search paths 40% · AIO 60% · PAA 60% · mined from paths/clusters/AIO 60%
No category brand is mentioned anywhere in the SERPs of the 2 queries for this situation. Search AI does not bring up any brand here yet (room to claim it).
Appendix: AI search exposure
AI tracking questions assumption
1“魚アレルギーでも使えるクリームは？”existing prompt
2“アレルギー対応のスキンケアアイテム”
3“魚アレルギーの人におすすめの肌ケア”
4“アレルギー反応を避けるスキンケア選び”
Questions this situation's consumers may ask an AI; used to track AI-response exposure
Source types AI cited derived
Other100%
The 1 source(s) AI Overview/PAA cited as evidence for this CEP, re-aggregated by source type; Other looks most valuable for this CEP's AI exposure
Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.
W-axis WhyClaim YoY (12M) -20%decliningnon-seasonalcategory link 0%
The situationderived
During breastfeeding (授乳中), individuals experience skin issues such as redness and dryness on their face (顔乾燥 赤みかゆみ, 肌の赤み 乾燥). They are concerned about symptoms like itching, flakiness, and rough patches (かゆみ, カサカサ, 湿疹), which may indicate a weakened skin barrier or conditions like dry skin dermatitis (乾燥性皮膚炎). They are actively searching for ways to treat and soothe these symptoms, looking for gentle, highly moisturizing, and low-irritation skincare products (肌の赤みを消す スキンケア, シンプルな保湿, 低刺激) and safe remedies, while also considering the safety of any products for their baby (授乳中の薬の使用について). They want to understand the causes of their skin problems and find effective solutions, including over-the-counter medications (市販薬) or professional medical advice if symptoms persist or worsen.
Scene: when, where, why, with whom MomentNeed recognizedLooks further
When
授乳中
Why
肌の赤み乾燥かゆみカサカサ湿疹
With / for whom
授乳中のお母さん
Only items confirmed by evidence pointers into search queries, the searches just before in search paths, same-cluster queries, and SERP lines. Hover the dotted underline to see the evidence.
Where this situation showed up (share of search volume) related searches 7% · search paths 7% · mined from paths/clusters/AIO 93%
No category brand is mentioned anywhere in the SERPs of the 2 queries for this situation. Search AI does not bring up any brand here yet (room to claim it).
Appendix: AI search exposure
AI tracking questions assumption
1“授乳中の肌ケアにおすすめのクリームは？”existing prompt
2“授乳中でも使えるスキンケアアイテム”
3“授乳中の肌の赤みを改善する方法”
4“授乳中の乾燥肌対策”
Questions this situation's consumers may ask an AI; used to track AI-response exposure
Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.
Scene: when, where, why, with whom MomentNeed recognizedLooks further
When
20代後半から30代頃
Why
エイジングケアを始めたいエイジングケアの基本を知りたい
With / for whom
エイジングケア初心者30代前半の女性50代の女性
Only items confirmed by evidence pointers into search queries, the searches just before in search paths, same-cluster queries, and SERP lines. Hover the dotted underline to see the evidence.
Where this situation showed up (share of search volume) AIO 100% · PAA 100% · mined from paths/clusters/AIO 100%
no search paths, search clusters data reached this CEP
No category brand is mentioned anywhere in the SERPs of the 2 queries for this situation. Search AI does not bring up any brand here yet (room to claim it).
Appendix: AI search exposure
AI tracking questions assumption
1“エイジングケアに最適なクリームを探す”existing prompt
2“エイジングケアを始めるためのスキンケアを選ぶ”
3“初心者向けのエイジングケア製品を知りたい”
Questions this situation's consumers may ask an AI; used to track AI-response exposure
Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.
Scene: when, where, why, with whom MomentInterestLooks further
Why
肌の赤みを改善したい肌にツヤを出したい肌荒れを改善したい
Only items confirmed by evidence pointers into search queries, the searches just before in search paths, same-cluster queries, and SERP lines. Hover the dotted underline to see the evidence.
Where this situation showed up (share of search volume) related searches 100% · search paths 30%
There is measured evidence that searches in this situation lead to PDRNクリーム.
Linking queries (measured)
No query combining the situation and 'PDRNクリーム' (4 candidates measured)
Search paths
0 of 1 paths through this situation's queries went on to a PDRNクリーム or brand search
SERP & AI Overview
5 of 42 lines across 2 SERPs for this situation mention PDRNクリーム or a brand‹Anua ドクダミ77％スージングトナー: 赤みや肌荒れを優しく鎮める、サラッとしたテクスチャーの人気の化粧水です。› (AI Overview · 肌の赤み スキンケア韓国)‹VT CICA クリーム: 独自のCICA成分が乾燥やゆらいだ肌を保護し、水分バランスを整えます。› (AI Overview · 肌の赤み スキンケア韓国)
Based on the SERPs of 2 queries for this situation. A mention in the AI Overview body scores 2, in cited sources, PAA or top organic results 1 (presence per query, not repeat counts). Shows which brands Google's search AI brings up for this situation; a different lens from path-based linkage (consumer behavior). [derived·SERP]
Appendix: AI search exposure
AI tracking questions assumption
1“韓国の肌再生クリームのおすすめは？”existing prompt
2“韓国スキンケアの効果は？”
3“韓国製品で肌の赤みを改善する方法は？”
Questions this situation's consumers may ask an AI; used to track AI-response exposure
Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.
Only items confirmed by evidence pointers into search queries, the searches just before in search paths, same-cluster queries, and SERP lines. Hover the dotted underline to see the evidence.
Where this situation showed up (share of search volume) related searches 100%
no search paths, search clusters data reached this CEP
No category brand is mentioned anywhere in the SERPs of the 2 queries for this situation. Search AI does not bring up any brand here yet (room to claim it).
Appendix: AI search exposure
AI tracking questions assumption
1“ニキビ跡を改善するためのスキンケアは？”existing prompt
2“ニキビ跡に効果的なクリームは？”
3“ニキビ跡の赤みを抑える方法は？”
Questions this situation's consumers may ask an AI; used to track AI-response exposure
Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.
Scene: when, where, why, with whom MomentNeed recognizedLooks further
Why
たるみ毛穴が気になる
With what
スキンケア製品や食べ物・飲み物で改善したい
Only items confirmed by evidence pointers into search queries, the searches just before in search paths, same-cluster queries, and SERP lines. Hover the dotted underline to see the evidence.
Where this situation showed up (share of search volume) AIO 100% · PAA 3% · mined from paths/clusters/AIO 100%
no search paths, search clusters data reached this CEP
Based on the SERPs of 2 queries for this situation. A mention in the AI Overview body scores 2, in cited sources, PAA or top organic results 1 (presence per query, not repeat counts). Shows which brands Google's search AI brings up for this situation; a different lens from path-based linkage (consumer behavior). [derived·SERP]
Appendix: AI search exposure
AI tracking questions assumption
1“毛穴が気になるときにおすすめのスキンケアは？”existing prompt
2“毛穴対策に効果的なクリームは？”
3“キメを整えるための方法は？”
Questions this situation's consumers may ask an AI; used to track AI-response exposure
Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.
CEP 11purpose CEP
ツヤ肌を目指したいとき
Microexplicit CEP
power no link evidence derived(whole situation 1.0%) · avg monthly volume 6,722 · trend (3M) +36%
W-axis WhoOpen YoY (12M) +9%stablenon-seasonalcategory link 0%
Scene: when, where, why, with whom MomentNeed recognizedLooks further
When
メイク前
With / for whom
40代50代メイク初心者
Only items confirmed by evidence pointers into search queries, the searches just before in search paths, same-cluster queries, and SERP lines. Hover the dotted underline to see the evidence.
Where this situation showed up (share of search volume) related searches 100% · search paths 100%
No evidence this situation leads to PDRNクリーム. Its total volume could attach to any other category just as well, so it is not counted as existing demand. Making PDRNクリーム a candidate here is a category-expansion task.
Linking queries (measured)
No query combining the situation and 'PDRNクリーム' (6 candidates measured)
Search paths
0 of 28 paths through this situation's queries went on to a PDRNクリーム or brand search
SERP & AI Overview
0 of 61 lines across 2 SERPs for this situation mention PDRNクリーム or a brand
What SERPs recommend in this situation
化粧水美容液乳液下地ファンデーションハイライトパウダー
Next actionNo search evidence that this situation leads to PDRNクリーム → don't count it as existing demand; treat it as a category-expansion task (make PDRNクリーム a candidate in this situation) evidence weak
Investment priority derived
Investment candidate #11Unclaimed situation volume up to 0/mo
Market size 0 · Brand fit 0(no competition) · Provability 100(evidence easy to substantiate), highest-priority investment on this 3-axis combination
Combines the 3 selection axes + power/volume via a fixed rule; a new calculation only, no new data
Scene names are [assumption] bonded to quoted evidence · volume is the measured sum of scene-attributed queries [derived] · evidence-less scenes are discarded by code
Search journey: just before and after derived
Adjacent transitions aggregated from 28 measured paths; an aggregate graph flow, not one person's timeline
Bridging message assumption
Where they meetうるおいに満ちてキメが整ったツヤ肌を目指す際、PDRNクリームは高い保湿力で肌のコンディションをサポートします。
自信 ‹ツヤ肌とは、うるおいに満ちてキメが整い、光をきれいに反射してなめらかに見える肌のことです。›derivedAIOno source link
Selection axes (market · fit · provability)
Market size0
Brand fit0
Provability100
Brands AI search names here (AIO) derived
No category brand is mentioned anywhere in the SERPs of the 2 queries for this situation. Search AI does not bring up any brand here yet (room to claim it).
Appendix: AI search exposure
AI tracking questions assumption
1“ツヤ肌を目指すためのスキンケア方法を教えてください。”existing prompt
2“40代でもツヤ肌を保つためのクリームはありますか？”
3“乾燥を防いでツヤ肌を作るためのアイテムを探しています。”
4“ツヤ肌を実現するためのおすすめのスキンケアは何ですか？”
Questions this situation's consumers may ask an AI; used to track AI-response exposure
Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.
Scene: when, where, why, with whom MomentNeed recognizedLooks further
When
施術後ダウンタイム中
Why
エイジングケアをしたいシミケアをしたい肌ツヤを改善したい
Only items confirmed by evidence pointers into search queries, the searches just before in search paths, same-cluster queries, and SERP lines. Hover the dotted underline to see the evidence.
Where this situation showed up (share of search volume) related searches 0% · AIO 100% · PAA 100% · mined from paths/clusters/AIO 100%
no search paths, search clusters data reached this CEP
Based on the SERPs of 2 queries for this situation. A mention in the AI Overview body scores 2, in cited sources, PAA or top organic results 1 (presence per query, not repeat counts). Shows which brands Google's search AI brings up for this situation; a different lens from path-based linkage (consumer behavior). [derived·SERP]
Appendix: AI search exposure
AI tracking questions assumption
1“施術後の肌ケアに最適なクリームを探す”existing prompt
2“ダウンタイム中の肌再生クリームを選ぶ”
3“施術後の肌を早く回復させたい”
Questions this situation's consumers may ask an AI; used to track AI-response exposure
Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.
CEP 13purchase CEP
肌質を改善したいとき
Macroexplicit CEP
power no link evidence derived(whole situation 5.5%) · avg monthly volume 36,696 · trend (3M) +632% possibly seasonal
Scene: when, where, why, with whom MomentNeed recognizedLooks further
Why
肌質を改善したいくすみ肌を改善したい肌のたるみを改善したいニキビ跡を改善したい肌の赤みを改善したい
Only items confirmed by evidence pointers into search queries, the searches just before in search paths, same-cluster queries, and SERP lines. Hover the dotted underline to see the evidence.
Where this situation showed up (share of search volume) related searches 3% · AIO 97% · PAA 97% · mined from paths/clusters/AIO 97%
no search paths, search clusters data reached this CEP
No evidence this situation leads to PDRNクリーム. Its total volume could attach to any other category just as well, so it is not counted as existing demand. Making PDRNクリーム a candidate here is a category-expansion task.
Linking queries (measured)
No query combining the situation and 'PDRNクリーム' (4 candidates measured)
Search paths
No paths pass through this situation's queries
SERP & AI Overview
0 of 45 lines across 2 SERPs for this situation mention PDRNクリーム or a brand
Next actionNo search evidence that this situation leads to PDRNクリーム → don't count it as existing demand; treat it as a category-expansion task (make PDRNクリーム a candidate in this situation) evidence weak
Investment priority derived
Investment candidate #13Unclaimed situation volume up to 0/mo
Market size 0 · Brand fit 0(no competition) · Provability 100(evidence easy to substantiate), highest-priority investment on this 3-axis combination
Combines the 3 selection axes + power/volume via a fixed rule; a new calculation only, no new data
Bridging message assumption
Where they meetくすみや小じわ、乾燥など、肌質改善を目指す際の肌のコンディションを整えるケアとしてPDRNクリームが注目されています。
No category brand is mentioned anywhere in the SERPs of the 2 queries for this situation. Search AI does not bring up any brand here yet (room to claim it).
Appendix: AI search exposure
AI tracking questions assumption
1“肌質を改善するためのクリームを探す”existing prompt
2“肌質改善に効果的な方法を知りたい”
3“肌質を良くするためのスキンケアを選ぶ”
Questions this situation's consumers may ask an AI; used to track AI-response exposure
Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.
CEP 14purchase CEP
シミが気になるとき
Macroexplicit CEP
power no link evidence derived(whole situation 0.8%) · avg monthly volume 5,299 · trend (3M) -17%
Consumers are concerned about dark spots (シミ対策, シミケア) and want to improve their skin to achieve a beautiful, glowing complexion (肌がキレイになる食べ物, ツヤ肌になるには スキンケア). They are looking for effective solutions to prevent and reduce existing spots, including those caused by UV radiation (紫外線). They are exploring various options, from PDRN cream and other skincare products (pdrn シミ 効果, pdrnクリーム 口コミ シミ) to dietary changes and professional treatments like those offered by beauty clinics or dermatologists (美容皮膚科での治療, エステサロン). They are particularly interested in understanding the efficacy of PDRN cream for dark spots and reading reviews.
Scene: when, where, why, with whom MomentNeed recognizedLooks further
Why
紫外線シミが気になる肌がキレイになりたいシミを消したい
Feeling
気になっている
Only items confirmed by evidence pointers into search queries, the searches just before in search paths, same-cluster queries, and SERP lines. Hover the dotted underline to see the evidence.
Where this situation showed up (share of search volume) AIO 52% · mined from paths/clusters/AIO 100%
no search paths, search clusters data reached this CEP
No evidence this situation leads to PDRNクリーム. Its total volume could attach to any other category just as well, so it is not counted as existing demand. Making PDRNクリーム a candidate here is a category-expansion task.
Linking queries (measured)
No query combining the situation and 'PDRNクリーム' (4 candidates measured)
Search paths
No paths pass through this situation's queries
SERP & AI Overview
0 of 61 lines across 2 SERPs for this situation mention PDRNクリーム or a brand
What SERPs recommend in this situation
日焼け止め日傘帽子UVカット衣類医薬部外品美容皮膚科レーザー治療内服薬処方
Next actionNo search evidence that this situation leads to PDRNクリーム → don't count it as existing demand; treat it as a category-expansion task (make PDRNクリーム a candidate in this situation) evidence weak
Investment priority derived
Investment candidate #14Unclaimed situation volume up to 0/mo
Market size 0 · Brand fit 0(no competition) · Provability 100(evidence easy to substantiate), highest-priority investment on this 3-axis combination
Combines the 3 selection axes + power/volume via a fixed rule; a new calculation only, no new data
No category brand is mentioned anywhere in the SERPs of the 2 queries for this situation. Search AI does not bring up any brand here yet (room to claim it).
Appendix: AI search exposure
AI tracking questions assumption
1“シミ対策に効果的なクリームは？”existing prompt
2“シミケアにおすすめのスキンケアは？”
3“紫外線によるシミを防ぐ方法は？”
Questions this situation's consumers may ask an AI; used to track AI-response exposure
Reference block needed only when managing AI (AI Overview / chatbot) exposure. The blocks above cover situation understanding and marketing decisions.
Related-query clusters found by search-cluster analysis. The bar is the cluster's total monthly volume; use it to spot demand areas no CEP has captured yet.
14Brand summary
behavioral MMS proxy · width×depth
MMS proxy [derived]
branded volume [measured]
width (#CEPs linked)
depth (avg rank)
無印
6.1%
673,000
8
1.6
メディキューブ
5.1%
200,333
8
1.6
ダイソー
2.7%
6,120,000
4
2.0
Anua
0.4%
31,100
7
3.6
VT
0.2%
27,100
8
4.1
リジュオール
0.1%
8,200
3
4.3
Medicube
0.0%
25,833
2
4.5
mille
–
8,700
0
–
REJURAN
–
3,633
1
4.0
リジュビオン
–
96
0
–
15AI search visibility
Which brands search AI names in which situation
For each CEP's queries we checked whether category brands are mentioned in Google's SERP and AI Overview, weighting the AI Overview body most. Unlike paths (the brand consumers searched next), this is the brand search AI offers as the answer for that situation. Situations where no brand appears are where content and GEO can claim the spot first.
Of 14 CEPs with SERPs checked, 11 have no category brand in the AI search answer at all. Focal brand Dr.deep is mentioned in the SERPs of 0 CEPs (0 in the AI Overview body).
★ = named in the AI Overview body. Share scores 2 for an AI Overview mention and 1 for cited sources, PAA or top organic results, per CEP query (presence only). Fewer SERPs means a more provisional read. [derived·SERP]
MMS = Σ(CEP power × share) ÷ measured CEP power (brands sum to 1) · MPen = power share of CEPs where the brand appears · NS = number of linked CEPs · SOM = power-weighted mean share within linked CEPs. Identity MMS = MPen × SOM. Expected MMS = brand-name volume share; advantage = MMS − expected.
Computed on 11/14 measured CEPs (power sum 100%). Size: brand-name volume share ≥30% large · <10% small · else medium. KPI (EBMI): small=MPen · medium=NS · large=SOM; MMS is everyone's KGI. Brand-name volume is the bare brand query, so multi-category brands (Samsung, LG) include demand outside this category and may be oversized.
Strategy by brand size · 無印(No focal brand; example uses the #1 brand by MMS.) Small: the shortest path is taking share in the leader's prototypical CEPs (top power); do not cling to niche CEPs (EBMI). Targets: 肌のたるみの悩み · 赤みとニキビ
17Focal brand response priority
Strength (rank 1, defend)
–
Chance (small gap, attack)
–
Weakness (big gap, big market)
肌の赤みとニキビが気になるとき · gap to leader 65.0pt · leader ダイソー 65%, no measured link for ours
エイジングケアを始めたいとき · gap to leader 99.0pt · leader 無印 99%, no measured link for ours
乾燥肌が気になるとき · gap to leader 60.0pt · leader 無印 60%, no measured link for ours
肌荒れが気になるとき · gap to leader 56.0pt · leader 無印 56%, no measured link for ours
肌のたるみが気になるとき · gap to leader 71.0pt · leader メディキューブ 71%, no measured link for ours
授乳中の肌ケアが必要なとき · gap to leader 60.0pt · leader 無印 60%, no measured link for ours
魚アレルギーがあるときのスキンケア選び · gap to leader 60.0pt · leader 無印 60%, no measured link for ours
Conceded / hold
施術後のダウンタイム中に肌をケアしたいとき · gap to leader 100.0pt · leader REJURAN 100%, no measured link for ours
毛穴が気になるとき · gap to leader 74.0pt · leader メディキューブ 74%, no measured link for ours
ニキビ跡が気になるとき · gap to leader 53.0pt · leader メディキューブ 53%, no measured link for ours
韓国のスキンケアに興味があるとき · gap to leader 48.0pt · leader 無印 48%, no measured link for ours
Rule: strength = #1 among measured CEPs / chance = gap to leader ≤5pt & power ≥ median / weakness = gap >15pt & power ≥ median; an explicit-threshold rule classification (not an algorithmic grade). 3 CEP(s) with no evidence of leading to the category are not judged for brands (ツヤ肌を目指したいとき, 肌質を改善したいとき, シミが気になるとき).
18Limits
what this map does not say
Any brand share / response-priority judgment ("how a brand is doing") holds only where brand linkage was actually measured for that CEP; check the measured ratio in Evidence readiness just below. Where many CEPs are unmeasured, treat brand-related conclusions as provisional.
Search reflects familiarity and purchase-consideration more strongly than unaided recall; in person-level validation, recognition alone drove search only 1.22x (near-negligible), while familiarity/consideration were clearly larger, reaching 7.0x (smartphones) / 5.3x (autos) when all 5 positive brand attitudes were held (Dotson et al., Google). This correlation is confounded by brand size (bigger brands move on many metrics at once), and validation was done at brand-total level.
Existing/habitual buyers don't disappear from search; the same study found brand owners searched their brand 2.5-3.5x more than non-owners (Dotson et al., Google). But much of that is non-need-expressing (brand-name/navigational/support queries), so this map's need-type CEP distribution skews toward new-entry/switch-consideration demand.
Brand share is relative within the measured set; an unqueried brand x CEP pair is [no data], not zero.
Paths are aggregate graph flow, not one person's timeline; "transition" is a modeled statistic.
CEP power's denominator is classified queries, not people; it isn't directly comparable to survey-based CEP power (denominator = people); the same person's 10 queries count as 10 votes on this map.
Queries that pick by naming a brand/origin are closer to a search mode than a situation, and differ in kind from other CEPs - they're bucketed separately to avoid contaminating need-type CEPs, so when counting "number of entry situations," we recommend excluding this item and the unclassified long tail.
Before decisions like budget/resource allocation, we recommend pairing this with survey-based recall measurement (person-level CEP power / share of mind).
The code discarded 165 AI-suggested item(s) lacking evidence (evidence is enforced).
Of 156 qualitative attributes: 48 measured (31%), 88 consensus (56%), 17 derived, 3 assumption. Measured means the condition exists as search queries, not that it drives purchase. Consensus is the social common sense Google has organized, not a fact check.
Evidence readiness: ready · All 14 CEPs have measured search queries; brand linkage measured in 10 of them
19Reproducibility
Search results (SERP, AI Overview) 36 · Search volume lookup 13 · Search paths 5 · Related searches 3 · Search clusters 1 · AI synthesis 1
Data retrieval detail
Connector calls
Parameters
Credits spent
Related searches
PDRNクリーム +3 / jp / limit 250
212
Search paths
PDRNクリーム / jp / limit 300
5890
Search clusters
PDRNクリーム / jp / hop2 / limit 500
21000
Search volume lookup
12 / jp
12
Search volume lookup
14 / jp
14
Related searches
肌の赤み +9 / jp / limit 120
540
Search paths
肌の赤み / jp / limit 200
5850
Search paths
ツヤ肌 / jp / limit 200
3770
Search volume lookup
103 / jp
102
Search results (SERP, AI Overview)
serp 'PDRNクリーム' / jp
30
Search results (SERP, AI Overview)
serp '肌の赤み' / jp
30
Search results (SERP, AI Overview)
serp 'ツヤ肌' / jp
30
Search results (SERP, AI Overview)
serp '敏感肌 対策' / jp
30
Search results (SERP, AI Overview)
serp '肌質改善 方法' / jp
30
Search results (SERP, AI Overview)
serp '肌のたるみ' / jp
30
Search results (SERP, AI Overview)
serp 'ニキビ跡 改善' / jp
30
Search results (SERP, AI Overview)
serp '肌再生' / jp
30
Search results (SERP, AI Overview)
serp '肌荒れ 対策' / jp
30
Search results (SERP, AI Overview)
serp '肌の再生' / jp
30
Search results (SERP, AI Overview)
serp '小じわ 改善' / jp
30
Search volume lookup
13 / jp
13
Search volume lookup
18 / jp
18
Search volume lookup
2 / jp
2
Related searches
pdrnクリーム +0 / jp / limit 80
122
Search volume lookup
46 / jp
46
Search volume lookup
12 / jp
12
Search volume lookup
22 / jp
22
Search volume lookup
230 / jp
230
Search paths
ダウンタイム中 PDRNクリーム / jp / limit 200
0
Search results (SERP, AI Overview)
serp 'ダウンタイム中 PDRNクリーム' / jp
0
Search paths
肌質改善 PDRNクリーム / jp / limit 200
0
Search results (SERP, AI Overview)
serp '肌質改善 PDRNクリーム' / jp
0
Search results (SERP, AI Overview)
serp 'ツヤ肌クリーム' / jp
0
Search results (SERP, AI Overview)
serp 'シミ PDRNクリーム' / jp
0
Search results (SERP, AI Overview)
serp 'ダウンタイム' / jp
30
Search results (SERP, AI Overview)
serp '肌再生 クリーム' / jp
30
Search results (SERP, AI Overview)
serp '肌質改善' / jp
30
Search results (SERP, AI Overview)
serp '肌荒れ' / jp
30
Search results (SERP, AI Overview)
serp 'たるみ毛穴' / jp
30
Search results (SERP, AI Overview)
serp '肌の赤みスキンケア' / jp
30
Search results (SERP, AI Overview)
serp '乾燥肌' / jp
30
Search results (SERP, AI Overview)
serp 'エイジングケア' / jp
30
Search results (SERP, AI Overview)
serp 'エイジングケア 初心者' / jp
30
Search results (SERP, AI Overview)
serp 'ツヤ 肌 スキンケア' / jp
30
Search results (SERP, AI Overview)
serp 'シミ対策' / jp
30
Search results (SERP, AI Overview)
serp 'シミケア' / jp
30
Search results (SERP, AI Overview)
serp '魚アレルギー' / jp
30
Search results (SERP, AI Overview)
serp '肌の赤み原因' / jp
30
Search results (SERP, AI Overview)
serp '授乳中' / jp
30
Search results (SERP, AI Overview)
serp '肌の赤み 乾燥' / jp
30
Search results (SERP, AI Overview)
serp '韓国 肌再生クリーム' / jp
30
Search results (SERP, AI Overview)
serp '肌の赤み スキンケア韓国' / jp
30
Search results (SERP, AI Overview)
serp '毛穴対策' / jp
30
Search results (SERP, AI Overview)
serp 'キメケア' / jp
30
Search results (SERP, AI Overview)
serp 'ニキビ跡 肌の赤み' / jp
30
Search volume lookup
65 / jp
65
Search volume lookup
300 / jp
299
Search volume lookup
91 / jp
91
AI synthesis
gemini-2.5-flash (S0 grounded + S3 synthesis)
0
Credits spent: 39270 [measured]
CEP Finder 2.1 run; input "pdrnクリーム" (depth: standard)
Volume is the trailing 3-month average monthly searches [measured]. Power's denominator is the set of queries classified into CEPs.
Brand share uses one method per CEP: brand appearance in search paths, measured brand co-searches, or brand mentions in the situation's search results and AI Overviews; never blended.
A CEP is a unit of "situation/scene," not "person"; from a penetration angle: more entry situations means a wider door for non-customers and light users.
Irrelevance screening: quarantined 70 homonym/other-market keyword(s) from the collection net (e.g. ツヤ肌 パウダー, メイク ツヤ肌, ツヤ肌 ファンデーション崩れない…)
Extracted 1 KBF/constraint/RTB/nano-context signal(s) directly from SERP AI Overview/PAA text and applied to CEPs (evidence quoted verbatim)
Give one keyword (category, product, service or brand) and it finds category entry points (CEPs) from real search paths, related searches, search volumes, SERPs and AI Overviews, then ranks them in a report. Marketers and brand managers use it to choose campaign situations and messages. Data comes from ListeningMind DaaS search behavior and Google results for Korea, Japan and the US.