ChatGPT answers, unedited

For 100 planned ecommerce YouTube videos, I’d optimize for bulk topic research + keyword clustering + competitor analysis, rather than spending much time on tags. YouTube says tags play only a minimal ranking role; they’re mainly useful for context and misspellings. vidIQ Help Center

My top picks

🥇 If I had to choose one: vidIQ

For your use case, vidIQ is probably the best starting point. Its current keyword research provides search volume, competition, keyword scores, related keywords, matching terms, questions, and rising keywords. It can also export keyword results as CSV. vidIQ Help Center vidIQ

That makes it particularly useful for taking something like:

"portable blender"

and expanding it into dozens of potential video angles:

• portable blender review
• best portable blender
• portable blender for smoothies
• portable blender for travel
• portable blender vs Nutribullet
• portable blender cleaning
• portable blender recipes
• portable blender for protein shakes
• etc.

Then you can score those opportunities and select the 100 videos worth actually producing.

vidiq.com

🥈 TubeBuddy — particularly useful after you have the 100 videos

TubeBuddy is attractive if your workflow is going to be:

100 video ideas → titles → descriptions → tags → upload/optimization

Its Keyword Explorer is designed for discovering YouTube keyword opportunities, while its optimization features are geared toward working directly with videos. TubeBuddy

For a large library, that's where TubeBuddy becomes more interesting than simply using a keyword research database.

tubebuddy.com

🥉 OutlierKit — worth considering for an ecommerce channel

If your biggest question is "Which 100 videos should I make?", I'd seriously consider OutlierKit.

Its focus is finding videos/topics that are performing unusually well relative to the competition, rather than simply giving you a giant keyword list. OutlierKit

That's valuable for ecommerce because you don't necessarily want the keyword with the most searches. You want something like:

Buyer intent + reasonable demand + weak competition + connection to your product.

The workflow I'd use for your 100 videos

I wouldn't make a spreadsheet containing 100 videos and then research each keyword individually. That's unnecessarily slow.

I'd build a keyword-to-video database something like:

Then divide your 100 videos into keyword clusters rather than 100 unrelated topics.

For example:

Product

• Product review
• Product demo
• Product comparison
• Product alternatives

Problem

• How to solve problem X
• Why X happens
• X mistakes
• X troubleshooting

Use case

• Product for beginners
• Product for travel
• Product for professionals
• Product for small businesses

Buying intent

• Best X
• X vs Y
• X alternatives
• Is X worth it?
• X review

Educational

• How X works
• How to use X
• X tips
• X tutorial
• X mistakes

That structure can turn a single ecommerce product into 20–50 legitimate video opportunities without making the channel feel repetitive.

One important change: don't over-optimize tags

I'd allocate roughly:

50% → finding video topics people actually want
25% → title/thumbnail/packaging
15% → competitor/outlier research
10% → tags/metadata

That's because tags aren't a major ranking lever. vidIQ itself notes that adding lots of tags doesn't guarantee more views or better rankings. vidIQ Help Center

My recommended stack

For what you're describing, I'd use:

vidIQ + YouTube Studio + spreadsheet/Airtable

And if you're going to have a large catalog of existing videos that also needs optimization, add TubeBuddy.

If you tell me what your ecommerce product is + your target country + whether these are YouTube long-form, Shorts, or both, I can also show you a 100-video keyword research system that takes you from one product → 100 video topics → primary/secondary keywords → tags → titles, in a spreadsheet structure.

Use case

• Product for beginners
• Product for travel
• Product for professionals
• Product for small businesses

Buying intent

• Best X
• X vs Y
• X alternatives
• Is X worth it?
• X review

Educational

• How X works
• How to use X
• X tips
• X tutorial
• X mistakes

That structure can turn a single ecommerce product into 20–50 legitimate video opportunities without making the channel feel repetitive.

One important change: don't over-optimize tags

I'd allocate roughly:

50% → finding video topics people actually want
25% → title/thumbnail/packaging
15% → competitor/outlier research
10% → tags/metadata

That's because tags aren't a major ranking lever. vidIQ itself notes that adding lots of tags doesn't guarantee more views or better rankings.

For 100 planned ecommerce YouTube videos, I’d choose based on whether you want bulk research before filming or mainly optimize tags after the videos exist.

My top picks

1. 🥇 vidIQ — my first choice for your situation

vidiq.com

If the goal is "I have 100 videos to plan and need to figure out what people are actually searching for", I'd start here.

It is built specifically around YouTube and provides keyword demand/competition information, related keywords, competitor research and topic ideas. Current 2026 comparisons consistently put it among the strongest all-around YouTube keyword tools. TubeAnalytics YTGrowth

For each planned video, I'd want to collect:

• Primary keyword
• 5–20 related keywords
• Search-demand estimate
• Competition/opportunity
• Related questions
• Competitor videos
• Suggested title angle
• Tags
• Search intent
• Product/buyer intent

Why I like it for 100 videos: you're not just trying to generate tags—you need to decide which 100 topics are worth producing in the first place.

2. 🥈 TubeBuddy — particularly good for bulk optimization

tubebuddy.com

TubeBuddy is the one I'd look at if your emphasis is bulk metadata/tag management. Current comparisons specifically identify it as strong for tags and bulk optimization. TubeAnalytics Clipstrust

I'd use it more for:

Research → select topics → produce videos → bulk optimize videos

rather than making it the only research platform.

3. 🥉 Semrush — potentially the best choice for an ecommerce business

semrush.com

This becomes extremely interesting if your YouTube channel is ultimately supposed to sell products, rather than simply accumulate views.

Semrush has enormous keyword databases, competitor research, keyword clustering/strategy tools, and ecommerce-specific keyword research. Its own ecommerce tooling is explicitly designed around finding broad category searches through high-intent buying keywords. Semrush Semrush

Its YouTube research workflow can also identify keywords and then check whether those queries trigger Google's video results. Semrush

For ecommerce, I'd actually consider:

Semrush + vidIQ

a better combination than trying to make one tool do everything.

The setup I'd use for your 100 videos

I'd build a spreadsheet/database with 100 rows, one per planned video.

Then use this workflow:

Semrush → vidIQ → YouTube → spreadsheet

For every potential topic, score:

One important thing

Don't build your 100-video strategy around tags.

For modern YouTube SEO, I'd put substantially more effort into topic selection + search intent + title + thumbnail + satisfying the query. Tags are useful metadata, but they shouldn't determine which videos you make.

In other words:

Bad workflow:

Product → generate 30 tags → make video

Much better workflow:

Product → discover hundreds of searches → identify buyer-intent clusters → score competition → choose 100 topics → assign primary/secondary keywords → create titles → produce videos → optimize metadata

That approach can turn one product into multiple videos targeting different stages of the buying journey.

If I were spending your money

I'd rank them:

1. vidIQ — best single purchase for a YouTube-first channel
2. Semrush + vidIQ — best serious ecommerce research stack
3. TubeBuddy — best if bulk metadata/tag optimization is particularly important
4. Ahrefs — excellent if you're also doing substantial Google SEO
5. Free YouTube autocomplete + Google Trends + YouTube Studio — surprisingly capable if you want to minimize software costs. TubeAnalytics

If you tell me what your ecommerce product is, I can also show you exactly how I'd research the 100 videos, including the keyword columns, scoring system, buyer-intent categories, and a process for finding hundreds/thousands of keywords and turning them into 100 video topics.

TubeBuddy is the one I'd look at if your emphasis is bulk metadata/tag management. Current comparisons specifically identify it as strong for tags and bulk optimization. TubeAnalytics Clipstrust

I'd use it more for:

Research → select topics → produce videos → bulk optimize videos

rather than making it the only research platform.

3. 🥉 Semrush — potentially the best choice for an ecommerce business

semrush.com

This becomes extremely interesting if your YouTube channel is ultimately supposed to sell products, rather than simply accumulate views.

Semrush has enormous keyword databases, competitor research, keyword clustering/strategy tools, and ecommerce-specific keyword research. Its own ecommerce tooling is explicitly designed around finding broad category searches through high-intent buying keywords. Semrush Semrush

Its YouTube research workflow can also identify keywords and then check whether those queries trigger Google's video results. Semrush

For ecommerce, I'd actually consider:

Semrush + vidIQ

a better combination than trying to make one tool do everything.

The setup I'd use for your 100 videos

I'd build a spreadsheet/database with 100 rows, one per planned video.

Then use this workflow:

Semrush → vidIQ → YouTube → spreadsheet

For every potential topic, score:

One important thing

Don't build your 100-video strategy around tags.

For modern YouTube SEO, I'd put substantially more effort into topic selection + search intent + title + thumbnail + satisfying the query. Tags are useful metadata, but they shouldn't determine which videos you make.

In other words:

Bad workflow:

Product → generate 30 tags → make video

Much better workflow:

Product → discover hundreds of searches → identify buyer-intent clusters → score competition → choose 100 topics → assign primary/secondary keywords → create titles → produce videos → optimize metadata

That approach can turn one product into multiple videos targeting different stages of the buying journey.

If I were spending your money

I'd rank them:

For researching keywords/tags for 100 planned ecommerce videos, I’d prioritize tools that let you bulk-discover topics, compare competition, and export/organize the results, rather than just a tag generator.

My picks

🥇 For your specific use case: vidIQ + TubeBuddy

If you're starting from 100 planned video topics, I'd use vidIQ first. Its current keyword tools provide search-volume estimates, competition, trends and related queries, and it is particularly oriented toward discovering what to make next. vidiq.comvidiq.com

Then use TubeBuddy for the optimization/tagging stage. TubeBuddy's Keyword Explorer provides keyword scores, competition, search-traffic information and tag suggestions, while its higher-tier workflow is particularly strong for bulk channel management. www.tubebuddy.com

That distinction matters:

vidIQ = What should I make?
TubeBuddy = How do I optimize 100 videos efficiently?

The workflow I'd use for an ecommerce channel

For each of your 100 planned videos, I'd build a spreadsheet/database with:

Video # → Product → Search intent → Primary keyword → 5–15 secondary keywords → Competition → Trend → Title → Tags → Product/affiliate intent → Priority

For example:

Product: cordless pressure washer
Primary: best cordless pressure washer
Secondary: cordless pressure washer review, best portable pressure washer, battery pressure washer, pressure washer for car, etc.
Intent: commercial
Priority: High

Then score each video based on:

Search demand × buying intent × ranking opportunity × product relevance

That's considerably more useful for ecommerce than simply generating 30–40 tags per video.

One important caveat about YouTube tags

I wouldn't spend huge amounts of time optimizing tags. Current YouTube SEO guidance puts much more emphasis on matching the actual search intent/topic and building the keyword naturally into the title, description and content. Tags are useful for relevance and variations, but they shouldn't be the centerpiece of your 100-video research process. vidiq.comvidiq.com

If you want to do this at scale

For 100 videos, I'd actually recommend a two-stage stack:

1. vidIQ → research the 100 topics and find better keyword variations

2. Google Trends → check whether demand is growing, seasonal, or declining

3. TubeBuddy → refine keywords/tags and eventually bulk-optimize the channel

Google Trends is especially useful for ecommerce because products can have strong seasonal patterns. www.tubeanalytics.net

If you give me your ecommerce niche/product category and the type of videos you're planning, I can also recommend the best bulk-research setup (including the cheapest plan that will handle ~100 videos) and a spreadsheet structure for turning those 100 ideas into a prioritized keyword/content map.

For 100 planned ecommerce YouTube videos, I’d prioritize tools that can do bulk keyword discovery + competition analysis + competitor/tag research, rather than a tool that only generates tags.

My ranking

🥇 I'd probably choose vidIQ

For a product-focused channel, your workflow should be:

Product → 20–50 potential search phrases → competition → related searches → competitor videos → select 3–5 video angles → titles/keywords/tags.

vidIQ is specifically built around YouTube keyword research and surfaces related keywords and competitor information. support.vidiq.com

For example, if you sell a portable espresso maker, you wouldn't just research:

portable espresso maker

You'd want a research set like:

• portable espresso maker
• best portable espresso maker
• portable espresso maker review
• portable espresso maker camping
• portable coffee maker
• espresso maker for travel
• portable espresso maker comparison
• how to use portable espresso maker
• portable espresso maker vs Nespresso
• best espresso maker for van life
• portable espresso maker under $100

Then organize those into 100 actual video opportunities, rather than making 100 videos around 100 nearly identical keywords.

🥈 If you want serious bulk research: Ahrefs

Ahrefs is unusually good for your "I have 100 videos and want to research them all at once" requirement. Its Keywords Explorer currently allows up to 10,000 keywords in a single search, including CSV upload, and returns metrics for the whole batch. help.ahrefs.com

That makes it excellent for building a master spreadsheet like:

Video # | Product | Primary keyword | Secondary keywords | Volume | Difficulty | Search intent | Competitor | Video angle | Tags

It also has keyword clustering, which is useful for avoiding 20 videos that are essentially targeting the same search intent. ahrefs.com

🥉 Semrush if your ecommerce site matters too

If these videos are intended to drive sales to your ecommerce website, I'd seriously consider Semrush instead of buying a YouTube-only tool.

Its Keyword Magic Tool has a database of 27B+ keywords, topic grouping, intent filtering, difficulty analysis and exports. www.semrush.com

That lets you find opportunities where a video can potentially rank on YouTube AND Google, which can be much more valuable for an ecommerce brand.

What I'd actually buy

If YouTube is the primary objective:

vidIQ + YouTube Studio

Use vidIQ for discovery/competition and YouTube Studio for your actual channel data.

If you're building a serious ecommerce content machine:

Ahrefs + vidIQ

Ahrefs → bulk research and keyword database
vidIQ → YouTube-specific validation, competitors and video optimization

If you're trying to grow both Google and YouTube:

Semrush + vidIQ

One important point about "tags"

I wouldn't spend much time trying to find the perfect 20 tags for each video. Tags are much less important than the actual search/topic, title, thumbnail, viewer satisfaction, and relevance.

For your 100-video project, I'd spend the research budget on finding 100 genuinely different search opportunities rather than generating 2,000–5,000 tags.

If you tell me what your ecommerce product/category is and roughly how much you're willing to spend per month, I can recommend the exact tool/plan and give you a 100-video keyword research workflow that minimizes manual work.

For 100 planned ecommerce YouTube videos, I’d prioritize tools that can research lots of keywords at once, identify low-competition opportunities, and help you turn the research into a video plan—not just tools that generate tags.

My ranking

🥇 I'd choose vidIQ for your specific project

vidIQ

For a channel where the 100 videos are not yet made, vidIQ is particularly useful because it can take a seed topic and show related keywords, matching terms, questions, search volume, competition and keyword scores. It also lets you export keyword research to CSV. support.vidiq.comvidiq.com

That's much more useful than simply generating 100 lists of tags.

For example, if you sell a product like a portable blender, I'd want the research to uncover clusters such as:

• portable blender
• portable blender review
• best portable blender
• portable blender for travel
• portable blender for smoothies
• portable blender vs regular blender
• how to clean portable blender
• portable blender worth it
• portable blender for protein shakes
• portable blender problems
• portable blender recipes
• portable blender comparison

Then you can turn those into 100 distinct video opportunities, rather than making 100 videos targeting essentially the same keyword.

🥈 Ahrefs is excellent if you want serious bulk processing

Ahrefs Keywords Explorer

This is the one I'd consider if you're building a large ecommerce content database.

Ahrefs currently lets you bulk-check up to 10,000 keywords in one search, including uploading a CSV/TXT file. help.ahrefs.comwww.semrush.com It also provides keyword difficulty, volume, traffic potential and topic clustering. ahrefs.com

The catch: its core keyword data is primarily Google/search SEO, whereas your channel needs YouTube-specific demand.

So I'd use Ahrefs to answer:

"What are people searching for around this product/category?"

and vidIQ to answer:

"Which of those topics make sense specifically for YouTube?"

🥉 Semrush is particularly interesting for ecommerce

Semrush Keyword Magic Tool

Semrush has a huge keyword database and lets you organize keywords into topic groups. Its Keyword Magic Tool currently has 27B+ keywords, with filtering, clustering, questions and difficulty analysis. www.semrush.com

It also has Keyword Strategy Builder, which can organize large keyword sets into content structures and accepts bulk imports. www.semrush.com

For an ecommerce business, that's valuable because you can research Google + ecommerce search intent, then adapt the winners into YouTube videos.

The setup I'd actually use

If you're serious about producing 100 ecommerce videos, I'd use this workflow:

1. Start with your products/categories

Example:

Product → problem → use case → audience → comparison → objection → alternative → how-to → review

2. Generate 500–2,000 candidate keywords

Use vidIQ + Semrush/Ahrefs.

3. Score every candidate

I'd create a spreadsheet with:

4. Cluster duplicates

This is critical.

You don't want:

• "best portable blender"
• "best portable blenders"
• "portable blender best"
• "best blender portable"

becoming four videos.

Those may represent one video opportunity.

5. Build your 100 videos around search intent

I'd aim for something like:

• 25% buyer-intent videos
• 25% problem-solving/how-to
• 20% comparisons
• 15% reviews/demos
• 10% use-case videos
• 5% experimental/trending

That gives you a channel that isn't just 100 commercials.

One important point about "tags"

I wouldn't make YouTube tags the centerpiece of this research.

The bigger opportunity is finding the topic/search query and matching the video's title, content and viewer intent. vidIQ itself recommends thinking about keywords across the title, description, chapters and relevant tags rather than treating tags as the primary optimization mechanism. support.vidiq.comvidiq.com

If you want the most efficient solution

My recommendation:

vidIQ + Ahrefs/Semrush + Google Sheets

If you only want to pay for one, I'd start with vidIQ for a YouTube-first channel.

If you're building a serious ecommerce SEO + YouTube operation, I'd choose Ahrefs or Semrush + vidIQ.

And if you give me your product/category + your target country + whether the videos are primarily Shorts or long-form, I can lay out a 100-video keyword research system (including the exact columns, scoring formula, keyword filters, and how to turn ~1,000 raw keywords into the best 100 videos).

For 100 planned ecommerce YouTube videos, I’d prioritize tools that let you research lots of keywords quickly, cluster them into video topics, and generate relevant tags—not just optimize one video at a time.

My ranking

My first choice: vidIQ. Its keyword system gives search volume, competition, related keywords, matching terms, questions, and rising keywords; paid plans remove limits on many of the related-keyword results, and the web app can export keywords to CSV. vidiq.comsupport.tubebuddy.com

TubeBuddy is the strongest alternative: TubeBuddy. Its Keyword Explorer provides keyword scoring, search-volume/competition estimates, related keywords and tag suggestions, while its broader SEO tools include rank tracking, tag optimization and SEO Studio. www.tubebuddy.com

For your specific use case

If you're starting with something like:

1 ecommerce product → 100 planned videos

I wouldn't simply research 100 individual keywords.

I'd build a keyword universe first:

Product → customer problems → use cases → comparisons → alternatives → reviews → tutorials → buying questions → objections → features → accessories → troubleshooting → seasonal searches

Then turn that universe into 100 video opportunities.

For example, if you're selling a portable blender:

• portable blender
• best portable blender
• portable blender review
• portable blender for travel
• portable blender for smoothies
• portable blender vs Nutribullet
• portable blender cleaning
• portable blender battery life
• portable blender for protein shakes
• portable blender for frozen fruit
• portable blender leaking
• portable blender not charging
• etc.

That approach is much more scalable than trying to find "the best tag" for each video individually.

One important point about tags

Don't over-invest in tags. YouTube SEO is much broader than tags. I would use your research primarily to determine the video topic, title angle, description language, and viewer intent, with tags as supporting metadata. Even TubeBuddy explicitly cautions that its tag/keyword suggestions still require human judgment and that tags should be relevant to the actual video. support.tubebuddy.com

What I'd use for 100 videos

Best stack:

1. vidIQ → generate and score the initial keyword universe.
2. YouTube autocomplete/search → see the language people actually use.
3. TubeBuddy → second opinion on competition/SEO and tag suggestions.
4. Google Trends → check whether demand is growing, declining, or seasonal.
5. Put everything into a spreadsheet with columns for:
   • Video #
   • Primary keyword
   • Secondary keywords
   • Search intent
   • Search volume
   • Competition
   • Video angle
   • Proposed title
   • Tags
   • Product/variant
   • Funnel stage
   • Priority score

If you're serious about producing all 100, I'd choose vidIQ first. Its keyword tool is particularly suited to turning seed topics into larger keyword clusters, and its CSV export makes it much easier to build a 100-video research database. vidiq.comsupport.tubebuddy.com

If you tell me what ecommerce product you're selling, I can also show you a 100-video keyword research system specifically for that product—including the spreadsheet structure, keyword clusters, search-intent categories, and how I'd score the 100 ideas.

If you’re planning 100 ecommerce product videos, I’d prioritize tools that let you research many keywords at once, export the data, and then turn it into a video-by-video content plan.

My top picks

🥇 Best overall for your use case: vidIQ

For a product-focused YouTube channel, I'd start with vidIQ. Its keyword research gives you search volume, competition, keyword scores, related terms, matching terms, questions and rising keywords. It also lets you export keyword results to CSV. support.vidiq.com

That's particularly useful if your 100 videos are things like:

• Product demonstrations
• "How to use ___"
• Product comparisons
• "Best _ for _"
• Problem/solution videos
• Reviews
• Buying guides
• FAQs
• Accessories / complementary products

The important thing is that you don't want 100 isolated keyword searches. You want to build a keyword universe around your products and then cluster those keywords into 100 video opportunities.

🥈 Best for true bulk research: Ahrefs

Ahrefs is extremely strong if you want to dump a large list into the system and analyze it systematically.

Its Keywords Explorer can bulk-check up to 10,000 keywords in one search, including uploading a CSV/TXT file. help.ahrefs.com

It can also generate thousands of related ideas and filter them by volume, clicks, word count, questions, etc. Ahrefs even has a dedicated YouTube keyword research tool. ahrefs.com

So if you already have, say, 1,000–10,000 candidate keywords, Ahrefs is probably the better research engine.

🥉 Semrush if Google search matters too

If these videos will also support your ecommerce website, I'd seriously consider Semrush.

Its Keyword Magic Tool currently covers 28B+ keywords, automatically groups keywords into topic/subtopic clusters, and provides volume, difficulty, intent and other metrics. www.semrush.com

That's valuable because you can create videos around searches that have both:

YouTube opportunity + Google/ecommerce opportunity

rather than optimizing exclusively for YouTube.

What I'd actually use for 100 videos

I'd use a 2-tool stack:

vidIQ → discover YouTube opportunities

↓

Ahrefs or Semrush → validate/search-expand the opportunities

↓

Spreadsheet/Airtable → build the 100-video master plan

For each planned video, I'd track something like:

One important point: don't over-focus on YouTube tags. YouTube's current discovery system is much more dependent on the video's overall relevance and viewer response than simply stuffing tags. Your research should primarily identify topics, search phrases, titles and viewer intent; tags are secondary.

If you want the most efficient setup

Tell me what product you're selling + your target country + roughly what price range, and I can help you design a 100-video keyword research system—including the exact columns to use, how to score keywords, and how to turn one product into 100 video opportunities.

If you're planning 100 ecommerce-product videos, I would not use a generic SEO keyword tool alone. You want a workflow that can handle bulk topic discovery + YouTube-specific demand + competitor research + tags/metadata + exporting everything into a spreadsheet.

My ranking for your use case

My pick: use vidIQ + TubeBuddy together.

vidIQ is particularly useful before you make the videos: it provides YouTube keyword volume/trend/competition information and related suggestions. vidiq.com

TubeBuddy is the better complement when you have 100 videos to optimize, particularly for bulk metadata/tag workflows. Current 2026 comparisons specifically identify TubeBuddy as the stronger bulk-optimization choice. mrktcorrect.com

Where Semrush fits

If your goal is to generate a huge master list of potential search terms for your products, Semrush is extremely powerful. Its Keyword Magic Tool currently has 27B+ keywords, topic grouping, filtering, search-volume data, difficulty, intent, and exports. www.semrush.com

You can essentially do:

Product → seed keywords → hundreds/thousands of related queries → cluster them → select 100 video topics → validate those topics on YouTube → assign primary/secondary keywords → generate titles/tags.

Semrush even lets you import up to 2,000 keywords at a time into its Keyword Strategy Builder, which is useful for organizing a large research project. www.semrush.com

The workflow I'd use for your 100 videos

1. Semrush: generate the giant keyword universe
↓
2. vidIQ: determine which keywords actually make sense for YouTube
↓
3. YouTube: inspect the actual videos ranking for each topic
↓
4. Build a 100-video keyword map
↓
5. TubeBuddy: optimize titles, descriptions, tags and metadata in bulk
↓
6. YouTube Studio: after publishing, use your actual search-query/impression data to refine the next batch.

One important point: don't over-focus on tags. For YouTube, I'd prioritize topic/search intent → title → thumbnail → viewer satisfaction/retention → description/context, with tags being a secondary metadata field.

If you want the simplest setup

If you don't want to pay for 3–4 tools:

Start with vidIQ. It's the best single-tool choice for your specific situation because you're not just doing traditional SEO—you are deciding what 100 YouTube videos should be made around. vidIQ combines YouTube keyword demand, competition, trends and related suggestions. vidiq.com

If you already have a substantial SEO budget, I'd go:

Semrush + vidIQ + TubeBuddy

That gives you a very strong research → YouTube validation → bulk optimization pipeline.

If you tell me what ecommerce product you're selling + your target country + whether these are YouTube long-form, Shorts, or both, I can also recommend the exact 100-video keyword research workflow and spreadsheet columns I'd use.

For an ecommerce product YouTube channel planning 100 videos, you want a tool that can do bulk keyword discovery, competitor research, tags, titles, search intent, and content prioritization — not just a basic keyword generator.

My recommended stack:

lenspov.com

Best overall setup for your use case

1. Start with vidIQ for idea mining

• Enter your product category
• Pull:
  • high-volume searches
  • rising keywords
  • competitor videos
  • title patterns
  • underserved topics

Example:
If you sell camping products:

• "best camping stove 2026"
• "camping stove vs..."
• "how to use camping stove"
• "camping meals with stove"
• "camping stove mistakes"

Then build clusters of 20–50 related videos.

mrktcorrect.com

2. Use TubeBuddy for your production spreadsheet
For 100 planned videos, TubeBuddy is useful because it helps with:

• keyword scoring
• tags
• SEO checklists
• bulk channel workflows
• testing thumbnails/titles

www.tubebuddy.com

3. Use Ahrefs if your ecommerce business already depends on SEO
Ahrefs is excellent for finding:

• product comparison keywords
• buyer-intent searches
• competitor content gaps
• keywords that can drive both Google and YouTube traffic

Example:
Instead of only:

"wireless earbuds review"

you might find:

• "best earbuds for running"
• "AirPods alternative under $100"
• "earbuds that don't fall out"

Those are closer to purchase intent.

A practical 100-video research workflow

I would build a spreadsheet with columns:

1. Video topic
2. Primary keyword
3. Secondary keywords/tags
4. Search intent:
   • Buyer
   • Comparison
   • Tutorial
   • Problem solving
5. Competitor videos ranking
6. Average views
7. Difficulty score
8. Product featured
9. Funnel stage:
   • Awareness
   • Consideration
   • Purchase

Then create:

• 30 buyer videos ("best X", "X review", "X vs Y")
• 30 educational videos ("how to use", "mistakes", "tips")
• 20 comparison videos
• 20 problem/solution videos

If I had to pick only one tool:

• New ecommerce channel: vidIQ
• Already have products and want to scale uploads: TubeBuddy
• Serious brand doing SEO + YouTube together: Ahrefs + TubeBuddy

For a 100-video product channel, I would probably use vidIQ + TubeBuddy together: one finds the opportunities, the other helps execute and optimize at scale. www.tubebuddy.com

If you tell me your product category, target country, and whether videos are Shorts or long-form, I can suggest a keyword-research workflow and spreadsheet structure specifically for that channel.

For 100 planned ecommerce YouTube videos, I’d prioritize tools that can handle bulk keyword research, CSV export, competitor research, search volume/competition, and tag generation—not just tools that generate one keyword at a time.

My top picks

🥇 Best for your specific use case: KeywordTool.io

This is particularly interesting because you can upload up to 1,000 keywords in bulk and get search-volume data for them, then export the results to CSV/Excel. It also supports YouTube plus Google, Amazon, TikTok, Instagram and other platforms. keywordtool.io

KeywordTool.io YouTube Keyword Tool

For a 100-video content plan, that means you could start with something like:

100 product/topic seeds → thousands of related searches → filter/rank → assign keywords to your 100 videos.

That's much closer to the workflow you need than manually researching each video.

🥈 Best all-around YouTube tool: vidIQ

vidIQ Keyword Research

vidIQ gives you search demand, trend direction, competition and keyword scoring, plus related suggestions. vidiq.comkeywordtool.io

I'd use it after generating your big keyword universe. For each planned video, you can validate the primary topic and look at competing videos.

🥉 Best for tags + bulk YouTube optimization: TubeBuddy

TubeBuddy Keyword Explorer

TubeBuddy is particularly strong if by "tags" you mean actual YouTube tags. Its Keyword Explorer provides keyword scores, competition, search traffic, related keywords and tag suggestions; its Pro tier currently advertises up to 500 keyword searches/day. www.tubebuddy.comkeywordtool.io

What I'd actually use for an ecommerce channel

Rather than buying five tools, I'd build this stack:

1. KeywordTool.io → discovery

Start with your products, customer problems, use cases and competitors.

Example:

standing desk
standing desk for back pain
best standing desk
standing desk setup
standing desk accessories
standing desk review
standing desk comparison
cheap standing desk
standing desk under $500
standing desk assembly

Then expand those into hundreds/thousands of actual search phrases.

2. vidIQ → YouTube validation

Take the strongest candidates and determine:

• Search demand
• Competition
• Related searches
• Trending direction
• Existing videos competing for the term
• Whether the topic is realistic for your channel

3. TubeBuddy → tags/optimization

Use it closer to production/publishing for the final tags and YouTube SEO workflow.

4. Google Trends → demand sanity check

Especially important for ecommerce because products can be seasonal, fad-driven, or suddenly declining.

The really important part for ecommerce

Don't organize your 100 videos around 100 keywords.

Organize them around 100 buying/search intents.

I'd create a spreadsheet/database with columns like:

Video # | Product | Topic | Primary Keyword | Secondary Keywords | Search Intent | Buyer Intent | Volume | Competition | Trend | Competitor Videos | Funnel Stage | Title | Tags

Then classify every video:

• 🟢 Buyer: "best X", "X review", "X vs Y", "X for [specific use]"
• 🟡 Consideration: "how to choose X", "X benefits", "X comparison"
• 🔵 Problem: "how to fix [problem]"
• 🟣 Educational: "what is X", "how does X work"
• 🔴 Commercial competitor: "[competitor] vs [your product]"

That gives you a 100-video content system, rather than 100 disconnected SEO attempts.

If I were doing this for your channel, my first choice would be KeywordTool.io + vidIQ. KeywordTool handles the bulk expansion, while vidIQ handles the YouTube-specific validation. TubeBuddy becomes worthwhile if you particularly want to automate/streamline tags and publishing optimization. keywordtool.io

If you tell me what product/category you're selling, I can also show you exactly how I'd research and structure the 100-video keyword database for that ecommerce channel.

For 100 planned ecommerce product videos, you’ll want more than a tag generator. The ideal stack should help you:

1. Find buyer-intent keywords (“best air fryer for small kitchen”)
2. Discover long-tail YouTube searches
3. Analyze competitors
4. Bulk export into a content calendar
5. Generate titles, tags, descriptions, and angles

Here are the strongest options:

My recommended workflow for an ecommerce channel

Core stack:

• vidIQ → discover video opportunities
• Ahrefs → validate commercial search demand
• TubeBuddy → optimize uploads in bulk

For 100 videos, create a spreadsheet with columns:

• Product
• Main keyword
• Buyer intent level
• Search phrase
• Competitor videos ranking
• Video title idea
• 5–15 tags
• Thumbnail angle
• Call-to-action
• Funnel destination

Example:

If you want maximum automation

A more advanced setup:

• vidIQ → keyword discovery
• ChatGPT → turn keywords into 100 video briefs
• Google Sheets/Airtable → content database
• TubeBuddy → upload optimization

Avoid relying only on tags

YouTube tags have become much less important than:

• title wording
• first 30 seconds retention
• thumbnail click-through rate
• description keywords
• viewer satisfaction

For ecommerce, the biggest opportunity is usually commercial search phrases, not generic tags:

• “X vs Y”
• “best X for [specific person/problem]”
• “X review”
• “X worth it?”
• “before you buy X”

For a 100-video product channel, I would start with vidIQ + a spreadsheet system, then add TubeBuddy once you are publishing frequently. ytshark.comvidiq.com

If you tell me your product category (beauty, gadgets, supplements, home, fashion, etc.), I can suggest a keyword-research workflow and the exact columns/formulas for your 100-video database.

If you’re planning 100 YouTube videos for an ecommerce product channel, I’d prioritize tools that can handle large-scale keyword discovery, competition analysis, related searches, tags, and exporting—rather than a tool designed mainly for optimizing one video at a time.

My ranking

For your specific use case, I'd probably use Semrush + vidIQ.

1. Semrush — best for building the 100-video master plan

Semrush's Keyword Magic Tool currently has 28B+ keywords, lets you organize keywords into topic groups, filter by difficulty/volume, find questions, and export/share research. Its Keyword Strategy Builder can also organize large keyword sets into content/topic clusters. www.semrush.com

That's extremely useful if you're starting with something like:

Product → 20 problems → 30 use cases → 20 comparisons → 15 tutorials → 15 buying-intent videos

You can build a huge keyword universe first, then select the best 100.

2. vidIQ — best for finding actual YouTube opportunities

vidIQ is more directly tuned to YouTube. Its current keyword research provides search volume, competition, keyword scores, related keywords, matching terms, questions, rising keywords and CSV export. support.vidiq.com

For each of your 100 planned videos, I'd use it to answer:

• What are people actually searching on YouTube?
• What related phrases should be included?
• Are there rising searches?
• What questions are people asking?
• How competitive is the topic?
• Which terms should become the title/topic versus supporting keywords?

3. TubeBuddy — excellent for tags and actual video optimization

TubeBuddy's Keyword Explorer provides keyword scores, search traffic, competition and tag suggestions, while its tag tools can analyze tags used by higher-performing videos. www.tubebuddy.com

It also has tag management and SEO tools, making it particularly useful after you've decided what your 100 videos are going to be about. www.tubebuddy.com

The workflow I'd use

Don't research 100 videos individually from scratch. That's inefficient.

I'd create a spreadsheet/database with:

Video # | Product | Video concept | Primary keyword | Search volume | Competition | Secondary keywords | Questions | Tags | Search intent | Buyer intent | Competitor videos | Title idea | Priority

Then:

Step 1 — Semrush:
Generate hundreds/thousands of terms around your product and its problems/use cases.

Step 2 — Cluster them:
Group them into topics such as:

• How-to
• Problems/solutions
• Product demonstrations
• Comparisons
• Alternatives
• Reviews
• Best-of
• Beginner guides
• Mistakes
• FAQs
• Buying guides
• Use cases

Step 3 — vidIQ:
Take the strongest 100–200 concepts and validate them specifically against YouTube search behavior. support.vidiq.com

Step 4 — TubeBuddy:
For the final 100, refine tags, related terms and metadata. www.semrush.comwww.tubebuddy.comwww.tubebuddy.com

Step 5 — Rank your 100 ideas.

I'd score each video roughly:

Opportunity = Search Demand × Buyer Intent × Relevance ÷ Competition

That prevents you from filling the calendar with videos that have lots of searches but don't actually sell your product.

One important thing about YouTube tags

I wouldn't make tags the centerpiece of the strategy. The bigger opportunity is finding the right search/topic and creating a compelling video around it. TubeBuddy itself emphasizes titles, thumbnails, descriptions, watch time, CTR and viewer satisfaction alongside metadata. www.tubebuddy.com

For an ecommerce channel, I'd optimize for commercial search intent, not simply maximum search volume.

For example, I'd generally prefer:

"best [product category] for [specific use case]"

over:

"[product category]"

if the first term has meaningful demand and substantially stronger buying intent.

Bottom line: If you want one tool, I'd pick Semrush for the 100-video planning stage. If YouTube is the primary traffic source, vidIQ is the strongest complement. TubeBuddy becomes particularly valuable for the publishing/optimization stage.

If you tell me what product you sell + your target country + whether the channel is YouTube Shorts, long-form, or both, I can lay out a 100-video keyword-research system specifically for that product, including the columns, scoring formula, keyword buckets, and workflow.

If your goal is bulk-researching keywords/tags for ~100 planned ecommerce videos, I’d prioritize tools that let you go from 100 video ideas → keyword opportunities → titles/topics → tags without researching each video manually.

My ranking

🥇 I'd choose vidIQ for the 100-video project

vidIQ is particularly suited to this because its keyword research gives you search volume, competition, related keywords, matching terms and questions, and it can export keyword results as CSV. support.vidiq.comvidiq.com

It also has tools for titles, descriptions and tags, so you're not just getting a giant keyword spreadsheet—you can turn the research into video metadata. support.vidiq.comvidiq.com

Most importantly, I'd use it to identify video opportunities, not just tags.

For example, if you're selling a kitchen product:

Seed: air fryer accessories

You'd want to discover clusters such as:

• air fryer accessories worth buying
• best air fryer accessories
• air fryer accessories beginners
• air fryer accessories you actually need
• air fryer cleaning accessories
• air fryer accessories for families
• air fryer accessories mistakes
• air fryer accessories comparison
• air fryer accessories under $25

That gives you multiple videos from one commercial seed, rather than making 100 unrelated videos.

🥈 Ahrefs if Google search matters too

Ahrefs is extremely strong for processing large keyword sets. Its Keywords Explorer can generate thousands of ideas, cluster them, analyze search volume/difficulty, and work with multiple keywords at once. ahrefs.com

Ahrefs also has a dedicated YouTube keyword research workflow, with filters for volume, word count, clicks, clicks-per-search and questions. ahrefs.com

For an ecommerce brand, that's attractive because you can identify:

YouTube opportunity → Google opportunity → product page opportunity

rather than treating YouTube as an isolated channel.

🥉 Semrush if the channel supports a bigger ecommerce SEO strategy

Semrush is particularly good if these videos are intended to ultimately drive product sales and Google traffic.

Its Keyword Magic Tool currently has 27B+ keywords and supports grouping, questions, filtering, difficulty analysis and lists. It also has bulk keyword analysis. www.semrush.com

I'd choose Semrush over vidIQ if your real objective is:

YouTube videos + Google SEO + competitor research + ecommerce website traffic.

The workflow I'd use for your 100 videos

Don't create a spreadsheet with merely:

Video | Keyword | Tags

I'd build something more like:

Then score every proposed video on:

Demand × Relevance × Competition × Buying intent

That is much more valuable than simply picking the keywords with the highest search volume.

And one important point: don't over-invest in tags. YouTube itself gives tags a relatively minor role; they're primarily useful for things like misspellings and additional context. support.vidiq.com

I'd spend the bulk of your research effort on topic selection, search intent, title, thumbnail concept and the video's ability to satisfy the query.

My recommendation

If you're starting from 100 planned ecommerce videos, I'd use:

vidIQ + Ahrefs + a spreadsheet/AI workflow

• vidIQ: YouTube-specific keyword/competition research
• Ahrefs: bulk keyword expansion and clustering, especially if Google SEO matters
• Spreadsheet: master database for all 100 videos
• AI: turn the researched clusters into titles, angles, outlines and metadata

If you give me your product/niche + the 100 video ideas (even rough ones), I can also help you design the exact 100-video keyword research spreadsheet structure and scoring system so you can process all 100 systematically rather than researching them one at a time.

If your goal is to research 100 planned YouTube videos in bulk for an ecommerce/product channel, I’d prioritize topic/keyword discovery + competitor research + scalable tagging, rather than just a generic SEO keyword tool.

My ranking

🥇 For your specific use case: vidIQ + TubeBuddy

vidIQ is what I'd use before producing the videos. Its current keyword research system gives you keyword/topic ideas and helps assess demand and competition; its own guidance emphasizes finding specific, lower-competition phrases rather than simply chasing the biggest keyword. support.vidiq.com

TubeBuddy is what I'd use for the production/optimization side. Its Keyword Explorer provides search/competition information and tag suggestions, while its Tag Management tools are designed for managing tags across your channel. www.tubebuddy.com

A current comparison also describes the distinction nicely: vidIQ is stronger for deciding what to make; TubeBuddy is stronger for optimizing and managing what you've made. www.tubebuddy.com

How I'd build your 100-video research system

Don't enter 100 random keywords and ask the software to spit out 100 videos.

Instead, build a spreadsheet with:

Video # → Product → Search intent → Primary keyword → 5–10 secondary keywords → Tags → Competitor videos → Search/competition score → Video angle → Title idea → Buyer stage

For an ecommerce channel, I'd divide the 100 videos roughly like:

• 25 — Product/problem searches
• 20 — Product comparisons
• 15 — "Best ___" / buying guides
• 15 — How-to/tutorials
• 10 — Product reviews/demos
• 10 — Problems your product solves
• 5 — Brand/product-specific searches

That gives you a much better commercial content library than simply generating 100 keyword variations.

One important point about tags

I wouldn't make tags the centerpiece of the research. Your primary effort should go into the search intent, topic, title, thumbnail and actual content. Tags are useful for organization and context, but they're not where I'd expect the biggest return from your research time.

TubeBuddy is particularly useful here because its current tools combine keyword discovery with tag suggestions and channel/video optimization. www.tubebuddy.com

What I'd actually buy

If you're starting from scratch:
→ vidIQ first.

If you already have 100 videos planned and need to manage/optimize them efficiently:
→ TubeBuddy becomes particularly attractive.

If you're serious about both YouTube AND Google ecommerce SEO:
→ vidIQ + Ahrefs is the more powerful research combination.

And if you give me your product/channel niche + 5–10 of the products you sell, I can help you design a 100-video keyword research framework (including the exact columns, keyword categories, scoring system, and workflow) so you can feed the ideas into vidIQ/TubeBuddy efficiently.