I'm satisfied with the work done; I received the most detailed clustering of search queries possible. I also received the search queries themselves in a variety of formulations that not every average person is familiar with - it's clear that the work was done to a very high standard. I look forward to continuing to work with you!
49
2
Budget: 100 EUR Deadline: 7 days
Hello!
I am ready to perform the collection and clustering of the semantic core for the French market.
What you will receive:
A complete semantic core for Peugeot 206, 307, 308, and Partner.
Collection of commercial and informational queries in French (buy, price, original, equivalent, OEM numbers, replacement, etc.).
Clustering by models, types of parts, left/right side, and other logical groups.
An Excel file with columns: keyword, frequency, cluster/group.
I use professional SEO tools (Ahrefs, Google Keyword Planner, etc.) for the collection, which allows for obtaining the most complete semantics.
I am ready to complete the work within 4–6 days.
110
0
Budget: 50 EUR Deadline: 10 days
Good day
I am interested in your project. I would like to discuss all questions regarding cooperation in more detail.
Budget: 45 EUR Deadline: 6 days
Hi! I specialize in e-commerce SEO and can collect a complete French keyword core for your Peugeot body parts catalog. I’ll map out buying intents, OEM numbers, and sides, delivering a fully clustered Excel sheet with exact search volumes. I can easily complete this task within 6 days, so feel free to message me!
0
0
Budget: 45 EUR Deadline: 6 days
Good day
I am ready to assist with the collection of a semantic core for the online store of Peugeot auto parts in the French market.
I can prepare an Excel file with structured keywords for the Peugeot models 206, 307, 308, Partner and by types of parts:
— rear wheel arches / rear fenders;
— front fenders / front fenders;
— left / right side;
— original, analog, replacement, buy, price, part number, etc.
I will format the result as a table:
— keyword;
— estimated search volume, if data is available;
— cluster / logical group.
I can also group queries by car models, type of part, and user intent.
18
0
Budget: 150 EUR Deadline: 5 days
Hello!
I understand the task: it is not just about compiling a list of phrases, but building a structured semantic core for specific Peugeot models and types of spare parts, with ready clustering for further use in SEO or contextual advertising.
In recent years, I have managed several projects in technical SEO and semantic collection for e-commerce, including niche catalogs like auto parts, where it is important not to overlook the "tail" of queries with part numbers and variations in model names.
I will start by gathering basic queries for each model (206, 307, 308, Partner) and type of part separately, expand the core with synonyms and commercial modifiers (acheter, prix, origine, adaptable, remplacement), add parsing of suggestions and related queries, after which I will consolidate everything into clusters by model, side (gauche/droite), and type of part with search volumes for France.
The completion time is 5 working days, and the cost of the work is 150 USD.
Please let me know if you need original equipment manufacturer (OEM) part numbers as a separate column for each keyword, and if you have access to Google Ads / Search Console to clarify the actual volumes for your region?
Iryna K.
Winning proposal
11
0
Budget: 45 EUR Deadline: 5 days
Hello.
The task is clear: keyword research should not be limited to general queries such as “aile avant Peugeot 206” or “passage de roue arrière Peugeot 307”. In this niche, it is important to collect commercial, model-specific and product-specific queries: buy intent, price, left and right side, original parts, aftermarket alternatives, replacement parts, repair panels and part numbers if available.
Relevant experience
Relevant SEO case with a large multilingual structure:
freelancehunt.com/showcase/work/keys-seo-mizhnarodne-prosuvannya-turistichnogo-agregatora/1974883.html
How I would approach the task
1. Keyword collection
I will collect French-language queries for:
— rear wheel arches
— rear fender arches
— repair panels
— front fenders
— left side
— right side
— Peugeot 206
— Peugeot 307
— Peugeot 308
— Peugeot Partner
— original parts
— aftermarket alternatives
— replacement parts
— part numbers
— buy-intent queries
— price queries
— delivery queries
— new and used parts, if relevant
Examples of query patterns:
— aile avant Peugeot 206
— aile avant gauche Peugeot 206
— aile avant droite Peugeot 206
— passage de roue arrière Peugeot 307
— arche d’aile arrière Peugeot 308
— bas d’aile arrière Peugeot Partner
— aile avant Peugeot 206 prix
— acheter aile avant Peugeot 307
— aile avant Peugeot 308 adaptable
— aile avant Peugeot Partner origine
— référence aile avant Peugeot 206
2. Clustering
I will group keywords in a way that is useful for website structure and SEO.
Clusters will include:
— model
— part type
— side
— commercial intent
— original or aftermarket part
— replacement and repair
— part number queries
— informational queries, if useful for categories or blog content
For example:
Peugeot 206, front fender, left side
Peugeot 206, front fender, right side
Peugeot 307, rear arch, repair panel
Peugeot 308, front fender, price and purchase intent
Peugeot Partner, rear arch, replacement part
3. Search volume
I will add search volume for France where data is available. If some narrow long-tail queries have no visible volume, I will still include them if they are relevant and commercially useful. In auto parts SEO, such queries can bring highly targeted traffic even with low volume.
4. Final deliverable
The final file will be an Excel table with the requested columns:
— Keyword
— Search Volume
— Cluster or Group
42
1
Budget: 45 EUR Deadline: 1 day
Greetings, Daniel!
I'm ready to collect all the necessary keywords for your website and cluster them.
I am suitable for this task because I have experience in collecting a semantic core in French and experience in collecting a semantic core for automotive parts.
5
0
Budget: 45 EUR Deadline: 4 days
Hello! I see the task — semantic core for a Peugeot auto parts store for the French market. It's not just about "collecting words" — it's important to understand how the French search for parts for their cars: from the names of components to models 206, 307, 308, Partner.
What I will specifically do:
Collect semantics through Keyword Planner/Serpstat based on years and the most popular queries
Clustering by commercial and informational intent + separation by car models
Cleaning from non-target queries (accessories/tuning, etc., if not needed)
Forming a ready Excel file with groups, frequency, and tags for Landing Page/categories
Experience: I have done a similar task for the German auto market — there the key specificity is that the same parts have different "popular" names (OEM part number vs brand). Similarly, there are nuances in searching.
I will do it myself — without delegation. I am currently free and fully available: I will start today, dedicating all my attention to your project.
After submission, I won't disappear — I will remain in touch and help with any corrections or additions to the core.
Write to me — and I will outline a short plan for the first stage: which models we will take first and how many queries approximately come out.
171
0
Budget: 45 EUR Deadline: 6 days
I am available to offer my services in keyword research for your website.
We can discuss the details via private message.
347
0
Budget: 50 EUR Deadline: 6 days
Hello!
I'm ready to take on your project.
I will complete it exactly according to your requirements and specifications.
Feel free to contact me!
12
0
Budget: 80 EUR Deadline: 5 days
Hello!
I can help with this task. I have experience with keyword research and semantic core collection for SEO.
I will collect a comprehensive semantic core for the French market, group the keywords into logical clusters (by model, left/right side, part type, etc.), and prepare everything in an Excel file with the required columns: Keyword, Search Volume, and Cluster.
Looking forward to your reply!
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