Particl
Particl Market Research
Particl Market Research helps teams answer ecommerce research questions directly in ChatGPT. It supports company discovery, product catalog research, product detail and variant analysis, market leader discovery, market trend analysis, marketing asset discovery, retail event tracking, sales timeseries, and product mix breakdowns. The app uses your authenticated Particl account and returns structured market intelligence data from Particl APIs.
Business
First seen
Mar 25, 2026
42
Score
Overview
This overview keeps the important context on one page: how the listing reads today, how much evidence we have, and where the current visibility score is coming from.
Core numbers
Score
42
Needs Work
Best rank
—
Best current placement
Keywords
0
Tracked keyword intents
Categories
0
Tracked category placements
Visuals
4
Screenshots and prompts
Links
3
Trust and docs links
Listing Profile
Tagline
Particl Market Research helps teams answer ecommerce research questions directly in ChatGPT. It supports company discovery, product catalog research, product detail and variant analysis, market leader discovery, market trend analysis, marketing asset discovery, retail event tracking, sales timeseries, and product mix breakdowns. The app uses your authenticated Particl account and returns structured market intelligence data from Particl APIs.
Capabilities
None declared
Description
Particl Market Research helps teams answer ecommerce research questions directly in ChatGPT. It supports company discovery, product catalog research, product detail and variant analysis, market leader discovery, market trend analysis, marketing asset discovery, retail event tracking, sales timeseries, and product mix breakdowns. The app uses your authenticated Particl account and returns structured market intelligence data from Particl APIs.
Screenshots & Prompts
Visibility Score
This is the score, what goes into it, and where the listing is strongest versus where it is leaving value on the table.
Showing up, but not yet clearly competitive
Built from search footprint out of 40 and listing clarity out of 60.
Confidence: Medium · Description text looks collapsed or unavailable, so this factor is excluded from the weighted total. Tool coverage data is incomplete for this app, so tool depth is weighted lightly and excluded when unavailable.
42
Score
Search footprint
0
Out of 40
Listing clarity
42
Out of 60
Search footprint
Keyword breadth
No tracked keyword intents are ranking yet.
0/12
Needs attention
Average rank quality
No keyword positions are available yet.
0/14
Needs attention
Best observed rank
No strong anchor ranking is captured yet.
0/8
Needs attention
Category placements
No tracked category placements are helping yet.
0/6
Needs attention
Listing clarity
Description quality
446 characters of description copy are available.
Description text looks collapsed or unavailable, so this factor is excluded from the weighted total.
0/18
Needs attention
Tagline specificity
Short, specific value propositions earn more credit than generic taglines.
4/4
Strong
Developer trust
Clear developer attribution is helping credibility.
4/4
Strong
Capability coverage
Capabilities are missing or too thinly described.
0/6
Needs attention
Screenshots
4 screenshot assets are captured.
7/10
Partial
Prompt examples
4 prompt examples are visible.
8/8
Strong
External trust links
3 trust/doc links are helping validate the listing.
6/6
Strong
Tool depth
No tool inventory is currently captured.
Tool coverage data is incomplete for this app, so tool depth is weighted lightly and excluded when unavailable.
0/4
Needs attention
How to improve this score
Priority ranked
Priority 01
Highest impact
01
Push more intents into the top results
#1
There is no strong top-of-page placement yet. Tighten messaging around the most important jobs-to-be-done so the app competes earlier in search results.
Priority 02
Near-term
02
Broaden the search footprint
#2
The app is not yet ranking for tracked keyword intents. Expand query coverage with clearer use-case language and metadata that matches search intent.
Priority 03
Supporting
03
Win one anchor query decisively
#3
The listing does not yet own an anchor query. Focus on one high-intent use-case and shape the metadata so the app can win that search outright.
Priority 04
Follow-on
04
Improve category relevance
#4
The app is not benefiting from category placements yet. Make the category use-case more explicit so it is easier to place and compare.
Priority 05
Follow-on
05
Clarify the product surface
#5
Capabilities are missing. Add a concise set of concrete capabilities so the listing feels tangible instead of abstract.
Keyword Data
This section keeps the search data compact: headline coverage first, then the full searchable list in an in-place scroll.
No tracked rankings yet
This app is in the catalog, but there are no current keyword or category ranking rows available yet.
History
A running view of how the listing has changed across tracked snapshots.
1.0.0
Apr 11, 2026, 6:42 AM
0 changes
1.0.0
Apr 10, 2026, 6:43 AM
0 changes
1.0.0
Apr 8, 2026, 10:21 PM
2 changes
Tagline
Ecommerce market intelligence Particl Market Research helps teams answer ecommerce research questions directly in ChatGPT. It supports company discovery, product catalog research, product detail and variant analysis, market leader discovery, market trend analysis, marketing asset discovery, retail event tracking, sales timeseries, and product mix breakdowns. The app uses your authenticated Particl account and returns structured market intelligence data from Particl APIs.
Description
Ecommerce market intelligence Particl Market Research helps teams answer ecommerce research questions directly in ChatGPT. It supports company discove
1.0.0
Apr 2, 2026, 6:55 AM
0 changes
1.0.0
Apr 1, 2026, 7:06 AM
0 changes
1.0.0
Mar 31, 2026, 6:57 AM
0 changes
1.0.0
Mar 29, 2026, 7:02 AM
0 changes
1.0.0
Mar 27, 2026, 6:44 AM
0 changes
1.0.0
Mar 26, 2026, 6:57 AM
0 changes
1.0.0
Mar 25, 2026, 6:38 AM
1 changes
Initial discovery
First tracked version