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CASETiFY GEO Diagnosis · Price Range

Price Range

What shoppers ask about budget, price differences, and whether a phone case is good value.

Exposure rate12.0%Share of the full matrix where CASETiFY is recalled by AI
Top1 rate0.0%Share of results where AI ranks CASETiFY first
Official source share0.0%No citation URLs were collected in this no-browsing snapshot
Generic-query exposure12.0%Open queries that do not include the brand name
Platform Visibility

Platform visibility

PlatformExposure rateTop1 rateTop3 rateAvg rankOfficial source share
CHATGPT12.0%0.0%0.0%7.500.0%
Branded vs Generic

Branded vs generic layers

Generic queries are the key incremental entry: when users do not name a brand, being selected by AI is true incremental opportunity.

LayerMatrix sizeExposure rateTop1 rateTop3 rate
Branded queries00.0%N/AN/A
Generic / open-scene queries5012.0%0.0%0.0%
Opportunity Queries

High-opportunity gap queries

QueryPlatforms hitAvg rankOfficial source shareMain intercepting brands
Which low-cost phone cases still feel comfortable in hand?0/1Not exposed0.0%
Can I get a reliable phone case without spending much?0/1Not exposed0.0%
Which budget phone cases offer useful features without unnecessary extras?0/1Not exposed0.0%
What are the best phone cases under $25?0/1Not exposed0.0%Spigen, Ringke, Caseology, ESR, Smartish, SUPCASE, Poetic, Incipio, Pela, Shutterfly
How much protection can I expect from a phone case under $20?0/1Not exposed0.0%
Which phone cases below $30 have the best grip?0/1Not exposed0.0%
Strong Queries

Strong-performing queries

QueryPlatforms hitAvg rankBest rank
Which high-end phone cases combine refined style with practical use?1/16.006
What are the best affordable phone cases for everyday use?1/17.007
What are the best mid-range phone cases for most people?1/17.007
Which premium phone cases are genuinely worth the higher price?1/17.007
Which phone cases offer the best balance of price, protection, and style?1/18.008
Which phone cases hold up best for the price over time?1/110.0010
Competitive Ranking

Brand & competitor ranking

AI recommendation slots = mentions across 50 queries × 1 platform. CASETiFY is currently 6/50, ranked #4.

RankBrandExposure rateTop1 rateTop3 rateAI recommendation slots
1OtterBox14.0%0.0%4.0%7
2Spigen12.0%12.0%12.0%6
3Caseology12.0%0.0%8.0%6
4CASETiFY12.0%0.0%0.0%6
5Pela12.0%0.0%0.0%6
6Mous10.0%2.0%4.0%5
7Ringke10.0%0.0%6.0%5
8UAG10.0%0.0%4.0%5
9Smartish8.0%0.0%0.0%4
10Nomad6.0%2.0%2.0%3
11ESR6.0%0.0%0.0%3
12Incipio6.0%0.0%0.0%3
13Zazzle6.0%0.0%0.0%3
14Bellroy4.0%0.0%2.0%2
15Kate Spade New York4.0%0.0%0.0%2
Semantic Anchors

Sentiment anchors

Positive terms

emphasizes fashion2good choice across price and style1style-forward1serves style-led shoppers1adds style1

Negative terms

No stable signal captured0
Reference Sources

Reference source structure

Model-only outputs50
100.0%
Official sources0
0.0%

This local snapshot intentionally used no web browsing; citation URLs and official-source attribution were not collected.

Business Diagnosis

Business diagnosis

📉 Weak ChatGPT recall

CASETiFY appeared in only 6 of 50 evaluation slots (12.0% exposure). Brand/entity grounding remains weak for open-demand wording.

🔢 Core recommendation slots lost

CASETiFY captured 0 Top-3 slots; the main intercepting brand is OtterBox. Competitor corpus is reused more readily than CASETiFY first-recommend signals.

🎯 High-intent scenes missing

44 of 50 queries have zero CASETiFY exposure. These gaps are direct title and FAQ candidates for the next content cycle.

⚠️ Thin sentiment sample

This scene contains 6 positive and 0 negative CASETiFY signals. Sparse observations make preference sensitive to individual answers.

📰 Missing source anchors

The user-requested snapshot ran without web browsing and captured no verifiable citation URLs. Official-source share is therefore recorded as 0%, not as a live-web benchmark.

GEO Plan

GEO action plan

1. Inject ChatGPT entity corpus

Add brand aliases, feature parameters, audience fit, and FAQ corpus for this scene. Next-round target: lift exposures from 6 to 14+.

2. Strengthen first-recommend conclusions

Publish explicit best-fit, comparison, and limitation statements on authoritative pages. Next-round target: lift Top-3 slots to 6+.

3. Fill scene corpus by query

Turn the 44 zero-exposure queries into individually indexable Q&A pages that answer purchase and comparison intent directly.

4. Replace risk language with evidence

Publish verifiable protection, material, warranty, delivery, and long-term wear evidence so models can reuse facts instead of marketing claims.

5. Build a third-party citation chain

Before the next web-enabled evaluation, align official evidence pages, editorial reviews, retail listings, and community answers around consistent conclusions.