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An AI that connects read-only to YouTube Studio can read your traffic sources and YouTube search terms, then suggest next videos based on what is already bringing viewers to your channel; Asendify AI is one of them, and generic chatbots can only do this if you paste in the numbers yourself. You can also do the core analysis by hand in YouTube Studio in about 30 minutes with the steps below, which is worth doing first so you know what a good answer looks like.
What traffic sources and search terms actually tell you
Traffic sources show where viewers found a video: Browse features (the home page and subscription feed), Suggested videos (next to or after other videos), YouTube search, external sites, playlists, channel pages and others. YouTube explains each one here: Understand traffic sources (YouTube Help).
The YouTube search source has its own report: the exact phrases people typed before they clicked on your video.
Read together, they answer two questions:
- How does YouTube distribute my videos? A channel that lives on Browse depends on its existing audience and packaging. A channel that lives on Suggested grows by sitting next to other popular videos. A channel that lives on search grows by answering questions people type.
- What should I make next? The topics and phrases that already pull viewers, especially ones you have only covered once, are your best candidates.
How to do it yourself in YouTube Studio
- Pick a fair window. In YouTube Studio, open Analytics and set the date range to the last 90 days or 365 days, so a single viral upload does not dominate. Keep long-form and Shorts separate, as they are distributed differently.
- Open the channel's traffic sources. On the Content tab, find the "How viewers find you" card, then open the full report (advanced mode) and select Traffic source. Note the share of views from Browse features, Suggested videos and YouTube search.
- Drill into YouTube search. Click YouTube search in the traffic source table to see the search terms. Sort by views and copy the top 20 or so phrases into a spreadsheet.
- Group the phrases into topics. Many terms are variations of the same need, such as "beginner sourdough", "sourdough for beginners" and "easy sourdough recipe". Group them and add up the views for each group.
- Match each group to the video that serves it. For each topic, note which of your videos is getting that search traffic and how well it holds viewers. Open its audience retention report to check the first 30 seconds and any big dips: Measure key moments for audience retention (YouTube Help). A topic with strong search interest but weak retention is a candidate for a better, more focused video.
- Check Suggested videos. Click Suggested videos to see which videos (yours or other channels') yours appear next to. Recurring other channels tell you which adjacent topics and formats your audience already watches.
- Check Browse impressions and CTR. For Browse-heavy videos, look at impressions and impressions click-through rate compared with your recent uploads, as YouTube describes in Impressions and click-through rate (YouTube Help). High CTR on a topic means the idea itself appeals to your existing audience.
- Write a short list of next videos. For each candidate, write one line: the topic, the evidence (search views, suggested neighbours or Browse CTR), and the angle you will take.
A worked example (hypothetical)
Imagine a home-baking channel with around 8,000 subscribers. Over the last 365 days, roughly half its long-form views come from YouTube search, a quarter from Browse and most of the rest from Suggested.
The search terms report shows a cluster of phrases about sourdough starters, such as "sourdough starter not rising" and "how to revive a sourdough starter". Together they bring more views than any other group, but the channel has only one video on the subject: a 25-minute general sourdough tutorial where the starter section sits in the middle. Its retention graph shows many search viewers leaving in the first minute, which suggests they did not find their answer quickly.
Suggested traffic shows the channel's videos often appear next to bread-scoring tutorials from other creators, a topic the channel has never covered.
The next-video list writes itself:
- a short, focused video on fixing a starter that is not rising, answering the question in the opening seconds;
- a bread-scoring video, since the audience already watches that topic next to this channel's videos;
- a follow-up on feeding schedules, linked from the end screen of the starter video.
These figures and the channel are made up to show the method; they are not real results.
What an AI tool adds, and what it doesn't
Every step above can be done by hand. An AI connected to your own analytics mainly saves time and joins the reports up:
- it pulls traffic sources, search terms, impressions, CTR and retention together, instead of you clicking through separate reports;
- it groups search terms into topics and points out the ones you have under-served;
- it turns the evidence into specific next-video suggestions, with the numbers behind each one.
What it can't do: see searches that never reached your channel, or replace your judgement about what you want to make. A general chatbot without access to your Studio data can only offer generic topic ideas unless you paste in the reports yourself.
Asendify AI: one option, and who it suits
Asendify AI is a YouTube growth AI that connects to YouTube Studio with read-only Google access and answers from your channel's own retention, titles, traffic and CTR data. Features relevant to this question include the traffic source breakdown, YouTube search terms, the impressions and CTR report, retention curve diagnosis, the title workshop and the upload strategy planner.
Be clear about what it is not. It does not edit, upload, post, comment on or delete anything on your channel, and it does not look at your thumbnail images. There is no free trial, no calls and no human coaching: it is self-serve software. It is live and on sale from £1,566 a month (£1,080 plus a 45% service fee), sold as prepaid packs of 1, 4, 8 or 12 months with no automatic renewal, plus £87 top-ups if you need more usage in a month.
It is not for everyone. If you are a newer channel with little search or Suggested traffic yet, or if £1,566 a month is a stretch, the free YouTube Studio reports and the steps above are the better choice for now.
Before paying for anything, try the free Retention Curve Checker, which helps with the retention side of step 5.
Key takeaways
- Traffic sources show how YouTube distributes your videos; search terms show what your audience is actively looking for.
- Use a 90-day or 365-day window and keep Shorts and long-form separate.
- Group search terms into topics and add up their views before deciding what to make.
- A topic with strong search interest but weak retention is a clear candidate for a new, more focused video.
- AI tools connected to your analytics speed this up; they don't replace your judgement.
FAQ
Why don't I see many search terms in YouTube Studio?
The report only lists terms once enough people have used them to find your videos, so smaller channels or newer videos may show only a few phrases. Try a longer date range, such as the last 365 days.
Should I make videos only for search?
Not necessarily. Search traffic tends to be steadier over time, while Browse and Suggested can bring bigger bursts of views. Most channels benefit from a mix; the reports tell you which one is working for you now.
Can ChatGPT tell me what to make next from my traffic sources?
Only if you give it the data. A general chatbot cannot see your YouTube Studio reports on its own, so you would need to export or paste in your traffic sources and search terms, or use a tool that connects to your analytics read-only.
Last updated: 28 October 2026
More playbooks on other topics: https://www.asendify.co/books/