ChatGPT answers, unedited

Yes. If your goal is specifically “find the content clusters producing the most watch time, then tell me what to merge/retire/reposition,” I’d shortlist these:

My pick: YouTube Studio + TubeAnalytics

YouTube Studio is actually more powerful for this task than many creators realize. You can create custom Groups of up to 500 videos and see their aggregated performance, including watch time; YouTube also exposes groups through its Analytics API. support.google.comwww.tubeanalytics.net

So you could create clusters such as:

• “Beginner tutorials”
• “Advanced tutorials”
• “Product reviews”
• “Case studies”
• “AI workflows”
• “News/commentary”

Then compare watch time, views, average view duration, subscribers gained, and retention across clusters.

YouTube Studio

TubeAnalytics is the more interesting option if you want software to turn that data into strategic decisions. Its 2026 positioning emphasizes authenticated channel data, retention, revenue, competitor context and decision support rather than just SEO/keyword scores. www.tubeanalytics.net

TubeAnalytics

Where vidIQ fits

vidIQ is particularly good at identifying videos to double down on. Its Channel Audit explicitly surfaces total watch time, average watch time, retention, top playlists and other high-performing content, then recommends creating more similar content. support.vidiq.com

But I wouldn't rely on vidIQ alone for consolidation. “These topics perform well” and “these 14 videos are cannibalizing each other and should become 4 definitive videos” are different analytical problems.

What I'd actually look for

The ideal system should produce something like:

Cluster: “AI automation tutorials”
18 videos → 31% of channel watch time
Median retention: 48%
5 videos generate 72% of cluster watch time
8 videos substantially overlap in search/topic intent
Recommendation: consolidate 8 overlapping videos into 3 authoritative videos; redirect/end-screen the old videos toward the strongest one.

That's the analysis I'd optimize for—not simply a “top videos” leaderboard.

If you give me your channel URL, I can also tell you what analytics setup I'd use and exactly how I'd structure the content clusters/consolidation analysis for your channel.

If your specific goal is “find the content clusters generating the most watch time, then tell me what can be consolidated,” I’d narrow the field to these:

1. vidiq.com — best off-the-shelf choice

• Its Channel Audit analyzes watch time, retention, views, subscriber gains, traffic sources, playlists, and top-performing content. vidIQ Help Center vidIQ
• It explicitly identifies content to “double down on”, including videos with the most total watch time and highest retention.
• Caveat: it doesn't appear to have a dedicated “cluster these videos and consolidate overlapping topics” workflow. You'd still interpret the clusters yourself.
• tubeanalytics.net — best for deeper first-party analysis

• More focused on authenticated channel data and decision support around watch time, retention, revenue, and performance. TubeAnalytics TubeAnalytics
• I'd favor this if you have a large back catalog and want to analyze the actual economics of your content rather than primarily doing SEO research.
• Again, consolidation/clustering isn't its obvious headline feature.
• viewstats.com — best for finding patterns/outliers

• Excellent for identifying outlier videos, analyzing channel/video performance, and seeing which topics/formats are outperforming. Viewstats
• Particularly useful if you want to combine your own analysis with competitor/topic research.
• Less suitable if you want an automated “merge these 7 videos into 3 content pillars” recommendation.

What I'd use for your exact problem

I'd actually use YouTube Studio + an analysis layer, rather than relying on a generic YouTube SEO tool.

The ideal workflow is:

Videos → topic/semantic clustering → watch-time contribution → retention → search/suggested traffic → overlap → consolidation recommendation

For example, you might discover:

That last step—semantic clustering plus overlap/consolidation—is the part most YouTube creator tools don't do particularly well.

If you give me your channel URL, I can also research the available tooling and tell you which setup would be best for your channel size/back catalog, including whether there's a tool that can get closer to fully automated cluster + consolidation recommendations.

If you mean YouTube, there are a few options, but they differ substantially in how automated the clustering is.

Best fits

1. YouTube Studio — best data foundation - You can create custom Groups of up to 500 videos and see their aggregate watch time, views, retention, etc.
2. This is particularly useful for grouping videos by topic, series, format, or audience and comparing which “clusters” actually generate watch time. Google Support Google Support
3. The catch: you have to define the clusters yourself. YouTube doesn't automatically tell you, “these 14 videos are essentially the same topic and should be consolidated.”

studio.youtube.com

1. vidIQ — best off-the-shelf option for automated-ish channel diagnosis

• Its Channel Audit analyzes watch time, retention, subscriber growth, traffic sources, and top/bottom-performing content.
• It specifically identifies content to “double down on” and underperforming content, which makes it useful for finding strong and weak topic clusters. vidIQ Help Center vidIQ
• However, I wouldn't describe it as a sophisticated semantic content-clustering + consolidation recommendation engine. It is more of a channel-performance/audit tool.

vidiq.com

1. A custom analysis — best if consolidation is the actual objective

If you want something like:

“These 23 videos fall into 4 closely related topics, those 4 clusters generate 68% of watch time, and these 7 videos cannibalize one another. Consolidate them into 3 definitive videos and redirect the weaker videos.”

— I'd use YouTube Analytics data + semantic clustering rather than rely on a conventional YouTube SEO tool.

YouTube lets you export Analytics data from Advanced Mode, so you can combine video titles/descriptions/transcripts with metrics such as watch time, views, retention, subscribers gained and traffic sources, then cluster the videos and score consolidation opportunities. Google Support

What I'd choose

Important distinction: “top-performing topics” and “consolidation opportunities” are different analyses. A tool can tell you that Topic A drives 40% of watch time without recognizing that you have 12 overlapping videos competing for the same audience/search intent.

If you give me your channel URL, I can also outline a concrete workflow for turning your video catalog into a cluster → watch-time contribution → overlap → consolidation recommendation analysis.

If your goal is specifically “find the content clusters that generate most watch time, then tell me what to consolidate/retire/merge,” I’d shortlist these:

My pick: YouTube Studio + vidIQ

YouTube Studio should be the source of truth because it has your actual watch-time data. Its Advanced Mode lets you create groups of up to 500 videos, compare groups, and see their combined performance. support.google.com

Then vidIQ is probably the closest off-the-shelf fit for the interpretation layer. Its Channel Audit explicitly surfaces top content using watch time, retention, subscribers, VPH and traffic sources, and identifies content to double down on versus content that needs work. support.vidiq.com

OutlierKit is more interesting if by “clusters” you mean topics/series/audience themes. It analyzes large numbers of videos and explicitly provides audience clusters, content gaps and niche-level patterns. outlierkit.com

For actual consolidation, though…

Most YouTube tools aren't truly doing content consolidation in the SEO/content-portfolio sense. I'd want the analysis to produce something like:

Cluster: “Beginner AI Tutorials”
14 videos → 38% of total watch time
4 videos account for 82% of cluster watch time
6 videos substantially overlap in topic/search intent
Recommendation: keep the 4 winners, update/redirect viewers from the 6 overlapping videos, and stop producing the remaining variants.

That's a different problem from ordinary “which videos are performing best?” analytics.

If you give me your channel URL, I can also tell you which tool is best for your specific channel and what analysis I'd run to identify the highest-watch-time clusters and consolidation candidates.

Yes. If your goal is specifically “cluster my videos by topic/series → quantify watch time by cluster → tell me which overlapping clusters should be consolidated,” I’d narrow the field considerably.

Best options

My pick: YouTube Studio + TubeAnalytics.

YouTube Studio is important because it has the authoritative data from your own channel. Its Advanced Mode lets you create groups of up to 500 videos and compare their aggregate performance, including watch time. support.google.com

YouTube Studio Analytics

For the clustering/strategy layer, TubeAnalytics is probably closest to what you're describing: it works with authenticated YouTube Analytics data and combines retention, revenue, audience and trend analysis. www.tubeanalytics.net

TubeAnalytics

vidIQ is another good choice if you want a more AI-oriented interface. Its Channel Audit looks at watch time, retention, traffic sources, subscriber growth and top-performing content, then surfaces improvement opportunities. support.vidiq.com

vidIQ Channel Audit

What I'd actually want the software to produce

For your use case, don't optimize for a generic "channel score." You want a report roughly like:

• Cluster A — Beginner tutorials: 38% of total watch time
• Cluster B — Advanced tutorials: 24%
• Cluster C — Product reviews: 18%
• Cluster D — News/commentary: 7%
• Cluster E — Miscellaneous: 13%

Then within each cluster:

Watch time → videos → audience overlap → retention → traffic source → subscriber conversion

And, crucially:

Consolidation opportunity: Clusters A and B address substantially the same viewer intent. 14 videos overlap heavily. Keep the 5 highest-performing videos, merge/repackage 6, and stop producing 3 redundant variants.

That's a more useful analysis than simply finding your top 10 videos.

If you give me your channel URL, I can also tell you which of these tools is likely to work best for your particular channel structure and what analysis I'd run to identify the consolidation opportunities.

If you mean YouTube, there isn’t one mainstream tool I’d trust to fully automate “semantic content clustering → watch-time contribution → consolidation recommendations.” But there are a few good options:

My recommendation: YouTube Studio + AI analysis

YouTube Studio analytics/groups already lets you create groups of up to 500 videos and analyze them collectively. You can group videos by topic, format, audience, etc., then compare estimated minutes watched, views, average view duration, retention, subscribers gained, and other metrics. support.google.com

For example, I'd create clusters like:

• “Beginner tutorials”
• “Advanced tutorials”
• “Product comparisons”
• “Troubleshooting”
• “Case studies”
• “News/updates”

Then calculate:

Cluster watch-time share
cluster estimated minutes watched ÷ total channel estimated minutes watched

That reveals things like:

“22% of your videos generate 71% of watch time, and 14 videos covering the same underlying search intent account for 46% of total watch time.”

The consolidation layer is where I'd use AI. It can examine titles/transcripts/topics and flag:

1. Near-duplicate videos → candidates to merge or replace with one definitive video.
2. Cannibalizing videos → several videos competing for essentially the same viewer intent.
3. Low-watch-time outliers within strong clusters → candidates for unlisting, redirecting, or updating.
4. Strong clusters with fragmented coverage → opportunities to create one authoritative “hub” video.
5. High-watch-time videos with weak follow-ups → opportunities to consolidate a topic into a series/playlist.
6. Old videos whose traffic has migrated to newer videos → candidates for retirement or updating.

If you want something off-the-shelf

vidIQ is probably the closest starting point. Its current Channel Audit specifically surfaces total/average watch time, top-performing content, retention, playlists, subscribers gained, and content to double down on. support.vidiq.com

vidIQ Channel Audit

TubeBuddy is stronger as a broader optimization toolkit; it has Retention Analyzer, Videolytics, Channelytics and Opportunity Finder. www.tubebuddy.com

TubeBuddy analytics tools

If this is for a serious content audit

I'd choose YouTube Analytics API + an LLM/custom dashboard rather than relying on vidIQ/TubeBuddy. Google's API can retrieve video-level watch time and other metrics and supports custom groups of videos, making it possible to build an actual “content portfolio” model rather than just an SEO audit. developers.google.com

The output I'd want is something like:

Cluster | # videos | % of videos | % watch time | Avg retention | Growth | Action

AI/automation tutorials | 18 | 12% | 43% | 48% | ↑ | Expand
Software reviews | 31 | 21% | 27% | 41% | → | Maintain
Industry news | 46 | 31% | 18% | 29% | ↓ | Consolidate
Miscellaneous | 53 | 36% | 12% | 24% | ↓ | Prune

That is much closer to the question you're actually asking: “Where is my channel's watch time concentrated, and which overlapping content should I consolidate?”

If you tell me roughly how many videos are on your channel and whether you're looking for a no-code tool or are okay with a custom analysis, I can recommend the best specific setup.

Yes. If your goal is specifically “find the content clusters that generate the most watch time, then tell me what to consolidate”, I’d shortlist these:

My pick: YT Studio Analyzer

YT Studio Analyzer specifically says it can surface topical clusters that are driving most of a channel's views, alongside channel-performance analysis. That's unusually close to what you're describing. ytanalyzer.app

However, I'd pair it with YouTube Studio, because Studio has the authoritative watch-time data and lets you create groups of up to 500 videos and compare their aggregate performance. support.google.com

If you're trying to find consolidation opportunities

The analysis I'd want the software to produce is something like:

Cluster: “AI automation tutorials”
18 videos → 42% of channel watch time
Median video: 11.2K hours watched
7 videos substantially overlap
→ Consolidate 4 weak/duplicative videos into 2 definitive guides
→ Keep 3 high-performing videos as standalone entry points
→ Update internal links/end screens to the strongest video

That's more useful than simply finding your “top videos.” You want to identify clusters where several videos compete for essentially the same viewer intent, then compare their combined watch time, retention, traffic sources, and subscriber contribution.

YouTube itself supports the underlying analysis: its Analytics API exposes metrics including watch time, average view duration, views, and subscriber gains, while Studio Advanced Mode lets you create custom groups and compare them. developers.google.com

If you give me your channel URL, I can also tell you which of these tools is most appropriate for your particular channel size/niche and what data you should export to calculate the consolidation opportunities.

If your goal is specifically “group my existing videos into content clusters, show which clusters generate the most watch time, and tell me what to consolidate”, I’d shortlist these:

1. vidIQ — best overall fit
   • Its Channel Audit analyzes total watch time, average watch time, retention, subscribers gained, playlists, and top search terms. support.vidiq.comvidiq.com
   • Its AI Coach can analyze patterns across your published content and identify which content categories/formats are producing stronger retention and subscriber conversion. support.vidiq.comvidiq.com
   • Caveat: it doesn't appear to have a dedicated “content cannibalization/consolidation” button. You'd use its analytics/AI analysis to identify overlapping topics, then decide which videos to merge, redirect, retitle, or retire.

2. TubeBuddy — best for deeper channel/content analysis
   • Its Topical Analysis is particularly relevant: it looks at which topics and formats are driving results in your niche. www.tubebuddy.com
   • Channel Audit can systematically identify weak videos and optimization issues, while its other analytics help assess audience behavior. www.tubebuddy.com
   • I'd choose this if you want to go from “which clusters work?” → “what should I optimize or stop producing?”

What I'd use for consolidation

For a serious channel audit, I'd actually combine YouTube Studio + vidIQ:

YouTube Studio → authoritative watch-time/retention data
vidIQ → clustering, pattern recognition, competitive/topic analysis
Spreadsheet/AI analysis → explicitly score consolidation opportunities

The key metric isn't just views. I'd calculate for each topic cluster:

Then flag clusters such as:

“10 videos about X → 34% of channel watch time → 6 videos answer essentially the same viewer intent → consolidate into 2–3 definitive videos.”

That's more useful than a generic channel audit because it gives you a portfolio-level view of the channel.

My pick: start with vidIQ if you want the closest off-the-shelf solution. If you tell me roughly how many videos are on your channel (e.g. 100, 500, 2,000+), I can also recommend the best tool/workflow for automatically clustering the entire back catalog and identifying which videos to merge, redirect, keep, or delete.

If by “content clusters” you mean grouping your videos by topic/format and then identifying which clusters generate the most total watch time, there isn’t a mainstream YouTube tool I’d trust to do the entire job perfectly automatically. But a few get close:

My pick: vidIQ + YouTube Studio

vidIQ's Channel Audit explicitly surfaces videos by total watch time, average watch time, retention, views, subscribers gained, playlists, etc., and recommends identifying the content to “double down on.” support.vidiq.com

YouTube Studio remains the source of truth for your actual channel data. Its Advanced Mode lets you compare and export analytics, while the Trends tab can identify content gaps. support.google.com

For consolidation, though, I'd use a slightly different workflow:

1. Export your videos + watch time, views, average view duration, retention, subscribers gained.
2. Cluster videos by actual viewer intent/topic, rather than just keywords.
3. Calculate each cluster's share of total watch time.
4. Find clusters where multiple videos answer essentially the same viewer question.
5. Flag:
   • Keep: high watch time + strong retention
   • Merge: overlapping videos where one clearly dominates
   • Refresh: good topic but several weak/dated videos
   • Retire: low watch time + low retention + substantial topical overlap
6. Consolidate the winning videos into a stronger pillar → supporting videos → playlist structure.

That's more useful than simply asking which videos have the most views. YouTube itself recommends looking at watch duration/average view duration alongside views when evaluating content performance. support.google.com

If you have a large channel (say 100+ videos), I’d lean toward a custom analysis rather than relying solely on vidIQ/TubeBuddy. An automated clustering analysis of your YouTube export can actually produce something like:

Cluster: “Beginner SEO” — 31% of channel watch time
14 videos → 3 overlapping subtopics
Winner: “SEO for Beginners” — 42% of cluster watch time
Consolidation: merge/redirect 3 weaker videos into the winner
Opportunity: create one advanced follow-up rather than 4 more beginner videos

That's the level of analysis I'd look for if consolidation is the main objective, rather than generic YouTube SEO optimization.

If you mean YouTube, there are a few good options—but they differ in how close they get to “find my content clusters → quantify watch time → tell me what to merge/retire.”

Best options

My first choice: vidIQ. Its Channel Audit explicitly surfaces videos by total watch time, average watch time, retention, views, subscribers gained, and “content to double down on.” It can therefore get you most of the way to identifying which topical areas deserve more investment. support.vidiq.com

vidIQ Channel Audit

TubeBuddy is a reasonable alternative, particularly if you also care about retention diagnostics, competitor analysis, and opportunity discovery. Its analytics suite includes Retention Analyzer, Videolytics, Channelytics, and Opportunity Finder. www.tubebuddy.com

TubeBuddy Data & Analytics

But for your specific question, I'd go one step further

The strongest solution is YouTube Analytics data + an AI/content-clustering layer.

YouTube's APIs expose exactly the underlying metrics you'd want, including estimated minutes watched, average view duration, average view percentage, views, subscribers gained, etc. developers.google.com

You can then cluster every video by things such as:

• Topic / subtopic
• Search intent
• Audience/problem addressed
• Format
• Series
• Funnel stage
• Video age

Then calculate something like:

Cluster contribution = total watch time from cluster ÷ total channel watch time

And identify consolidation opportunities such as:

“12 videos about X generate 31% of channel watch time, but 5 substantially overlap. Consolidate those 5 into 2 authoritative videos and redirect the remaining traffic via end screens, descriptions and playlists.”

That's considerably more useful than simply finding your top individual videos.

What I'd recommend

If you have <200 videos: start with vidIQ + YouTube Studio.

If you have 200+ videos or you're doing a serious content audit: use YouTube Analytics API + an AI clustering workflow. The API supports both targeted queries and bulk reports, so you can build a dataset of the entire library rather than relying on the limited views of a typical SaaS dashboard. developers.google.com

If you give me your YouTube channel URL, I can also tell you what I would use to analyze it and lay out the exact cluster → watch-time → overlap → consolidation methodology.

Yes. If your goal is specifically “which topics/formats form content clusters, which clusters generate the most watch time, and where can I consolidate overlapping videos?”, I’d separate the options into three levels:

My recommendation

Start with YouTube Studio + vidIQ. YouTube itself lets you create custom Groups of up to 500 videos and see their data together, so you can validate whether a suspected topic cluster actually drives watch time rather than relying on an AI's interpretation. support.google.com

Then use vidIQ's Channel Audit to identify the videos and themes worth doubling down on. It explicitly reports total watch time, average watch time, retention, top playlists, and other performance signals. vidiq.comsupport.vidiq.com

For consolidation opportunities, though, neither tool is as purpose-built as I'd want. The ideal workflow is:

1. Group videos by topic/intent, not merely playlist.
2. Calculate % of total watch time per cluster.
3. Identify clusters with several videos targeting essentially the same viewer intent.
4. Compare their watch time, retention, traffic sources and subscriber generation.
5. Flag low-performing/overlapping videos for merging, redirecting, updating, or retiring.
6. Preserve the videos that collectively dominate watch time and use them as the basis for future content.

YouTube's underlying Analytics API exposes estimatedMinutesWatched, average view duration and other metrics, so this kind of cluster-level analysis can also be automated. developers.google.com

If you tell me roughly how many videos are on your channel (e.g. 50, 500, or 5,000), I can recommend the best specific setup for automatically finding the clusters and consolidation candidates.

If your goal is specifically “find the content clusters producing the most watch time, then tell me what to merge/consolidate,” I’d rank the options this way:

1. vidIQ — best overall fit
   • Its Channel Audit explicitly surfaces total watch time, average watch time, retention, top playlists, search terms, and top-performing videos. support.vidiq.com
   • Its AI/MCP capabilities can analyze your channel data and identify patterns across videos, which makes it the strongest starting point for discovering topic/format clusters. support.vidiq.com
   • Caveat: it doesn't appear to have a turnkey “merge these 7 videos into one” consolidation engine. You'd use its analytics/AI to identify the candidates.

2. YouTube Studio — best source of truth
   • YouTube lets you create Groups of up to 500 videos and see their aggregate analytics. support.google.com
   • This is actually excellent for validating clusters: e.g. “AI tutorials,” “AI news,” “ChatGPT workflows” → compare their combined watch time, retention and revenue.
   • The downside is that you have to define the clusters yourself; Studio doesn't automatically discover semantic clusters or recommend consolidation.

3. TubeBuddy — good secondary option
   • Its analytics suite includes Retention Analyzer, Videolytics, Channelytics and Opportunity Finder. www.tubebuddy.com
   • Useful for finding underperformers and opportunities, but I don't see evidence that its current feature set automatically performs the cluster → watch-time contribution → consolidation recommendation workflow you're describing.

What I'd actually use

For a serious channel audit, I'd combine YouTube Studio + vidIQ:

Video catalog → semantic clusters → cluster watch-time share → overlapping videos → consolidation candidates

For example, the output you want would look something like:

Then:

Consolidation opportunities

• Merge 5 overlapping “ChatGPT prompts” videos into one definitive guide.
• Redirect/update 3 obsolete AI-tool videos rather than producing replacements.
• Combine the strongest concepts from the “Prompt Engineering” and “ChatGPT Tutorials” clusters.
• Keep the high-watch-time cluster intact and build a series around it.

Important distinction: most YouTube creator tools are optimized for individual-video optimization and finding winning topics, not for content portfolio rationalization. vidIQ gets closest, but if consolidation is the central requirement, you may want a custom analysis layer on top of your YouTube Analytics data.

If you tell me roughly how many videos are on your channel (e.g. 100, 500, 2,000+), I can recommend the best tool/workflow for that scale and tell you which ones can actually automate the clustering rather than making you tag videos manually.

If you mean YouTube, there isn’t one tool I’d trust to automatically do all of “cluster → watch-time contribution → consolidation recommendation” perfectly. The best options are:

1. YouTube Studio Advanced Mode — best for your own channel
   • You can create groups of up to 500 videos around themes/topics, then compare their watch time, views, retention, subscribers, and other metrics.
   • This is the most authoritative data because it’s first-party.
   • It does not, however, automatically discover semantic clusters or tell you “merge these 7 videos.” support.google.com
   • YouTube Studio Analytics help

2. TubeBuddy — best off-the-shelf optimization layer
   • Its analytics suite includes retention analysis, video/channel analytics, and an Opportunity Finder.
   • Opportunity Finder uses performance/engagement signals to identify optimization and content opportunities. www.tubebuddy.com
   • Caveat: it isn't really a dedicated “content-cluster consolidation engine.” I'd use it alongside YouTube Studio.

3. Impactube — better for discovering topic/niche clusters
   • It analyzes channels, videos, niches and “outlier” signals, which is useful for finding which topic areas are gaining traction.
   • More useful for what should we make next? than for deciding which existing videos should be consolidated.

What I'd use for your exact question

I'd actually build the analysis around YouTube Studio + an automated clustering layer:

Video library → semantic topic clustering → calculate watch-time share per cluster → identify overlapping/competing videos → consolidation score.

For each cluster, I'd want something like:

The key is that watch-time concentration alone isn't enough. A consolidation candidate should have high topical similarity and overlapping search intent, while preserving the videos that have the strongest watch time, retention, traffic, and backlinks.

If you have a few hundred+ videos, I can also recommend the best software specifically for doing this automatically—including tools that can ingest your YouTube Analytics export and produce a “keep / merge / redirect / update” content-cluster map.

If you mean YouTube, there are a few good options, but they differ a lot in how close they get to “cluster → watch-time contribution → consolidation recommendation.”

Best fits

1. YouTube Studio — best source of truth
   • You can create custom groups of videos by topic, series, format, audience, etc.
   • Then compare watch time, average view duration, views, retention, subscribers, and other metrics across groups.
   • This is actually the workflow YouTube itself recommends for finding which content buckets are driving performance. support.google.com
   • The catch: you define the clusters manually; Studio doesn't really give you an automated “these 14 videos are semantically redundant, consolidate them” recommendation.
   • YouTube Studio Analytics

2. TubeBuddy — best off-the-shelf creator tool
   • Stronger for finding performance patterns and content opportunities.
   • Its analytics suite includes Retention Analyzer, Videolytics, Channelytics and Opportunity Finder. www.tubebuddy.com
   • But: I wouldn't buy it specifically expecting sophisticated automatic semantic clustering + consolidation recommendations. That's not its clearest strength.

3. Heckle — interesting if you want AI-driven topic clustering
   • It analyzes videos/comments and says it clusters emotions, themes and topics, then uses those insights to generate content ideas. heckle.tech
   • This is closer to the semantic clustering part of what you're describing, although its emphasis is on audience intelligence and new ideas rather than explicitly consolidating overlapping videos.

What I'd use for your exact problem

If your goal is:

“Take my entire channel → automatically cluster videos by subject → calculate which clusters generate the most watch time → identify overlapping/weak videos → tell me what should be merged, retired, redirected, or turned into one canonical video.”

There isn't a mainstream YouTube creator tool I would trust to do all of that automatically. The strongest setup is YouTube Analytics data + semantic clustering/analysis.

YouTube's Analytics API can retrieve the underlying video/channel analytics, and its reporting infrastructure supports custom aggregation and analysis. developers.google.com

A useful output would look something like:

Then within each cluster, you'd identify canonical winners vs. overlapping videos—e.g. “keep #1, redirect/update #2/#3, combine #4–#7.”

If you give me your channel URL, I can also tell you which tool/workflow is most appropriate for your specific channel size and content type.