
Audience research
Part of Podcast SEO audience research: surveys and interviews
What podcast SEO competitor research means for UK show discovery
A practical checklist for podcast SEO competitor research in the UK, covering audience data, accessibility, privacy rules and a decision table for common situations.
What to take away
- Track three to five UK rivals. That is enough to reveal a pattern without turning the audit into a spreadsheet exercise.
- Compare machine signals such as titles, show notes, chapters, transcripts and internal links against human signals such as intro speed and clear calls to action.
- Log positions in Ahrefs, Semrush or Google Search Console, and transcript text in Otter.ai or Descript.
- Accessibility and privacy set the limits. The W3C media accessibility requirements and the ICO children's information guidance both constrain what you copy.
- Repeat the research quarterly, matching RAJAR's release cycle.
Which UK rivals deserve a place on your list
Start with shows that share your topic and your listener, not the largest show in the category. A BBC Sounds flagship with a national marketing budget is a poor benchmark for an independent weekly.
Five checks before a rival earns a row in your table:
- Same subject and roughly the same listener.
- Still active, judged by the latest episode date on Apple Podcasts or Spotify.
- Comparable output, so a daily news show does not sit beside a fortnightly interview show.
- Visible for a search term you also want to rank for.
- Traceable as a business through Companies House, if you plan to compare spend.
Stop at five. Beyond that you are cataloguing, not deciding.
Competitor tracking checklist
- Pick 3-5 rivals with shared topic and audience
- Record show title and episode titles
- Note description length and transcript presence
- Screenshot search results you care about
- Structure audience research first
Pair the list with the Podcast SEO audience research guide for England, which sets out the listener needs your rivals are actually competing for.
What to compare on a rival's page
Split each rival page into two layers. The machine layer is what a crawler reads: title tag, episode title, show notes, chapter markers, transcript text and internal links. The human layer is what a listener meets: whether the opening two lines explain the episode and whether the subscribe prompt is obvious.
| Layer | Check | What good looks like |
|---|---|---|
| Machine | Episode title and notes | Topic named early, no filler opening |
| Machine | Chapters and transcript | Timestamped sections, indexable text |
| Machine | Internal links | Related episodes, not only the homepage |
| Human | Opening description | Episode explained in about two lines |
| Human | Calls to action | One clear next step |
A rival ranking with thin notes is an opportunity. Record what they do, then decide whether you can beat it without borrowing their wording.
Machine-readable vs human signals
Machine-readable
- Titles
- Episode titles
- Notes
- Show notes
- Structure
- Chapter markers
- Text
- Transcript text
- Links
- Internal links
Human signals
- Titles
- Quick clarity
- Notes
- Clear CTAs
- Structure
- Easy scanning
- Text
- Tone and voice
- Links
- Navigation ease
Example: two England shows in one Apple Podcasts category
Take a BBC Sounds commission and an independent England production sitting in the same Apple Podcasts category. The broadcaster usually carries chapter markers, a full transcript and links into a wider content hub. The independent often has a one-line description and audio only.
That gap is not automatically a lesson. The broadcaster's advantage comes from budget and platform placement, so copy the structure you can afford and ignore the spend you cannot match. Apply the same test to regional intent: if a rival ranks for place-based terms, answer them with your own city names and local guests rather than imitating their voice.
Tools for logging rankings and transcripts
Keep one master sheet with a row per rival and columns for the ranking term, position, date checked and the elements above. Ahrefs and Semrush track positions for chosen keywords and show which pages earn links. Google Search Console shows the queries your own pages already appear for, which is the cheapest competitor gap to find.
For transcripts, Otter.ai and Descript produce draft text you can correct and compare against a rival's published version. Apple Podcasts also generates transcripts, so check whether a rival's text is auto-generated or edited before treating it as a standard.
Audience data tells you whether a rival's success is repeatable. RAJAR's quarterly listening data shows how UK audio consumption moves four times a year. For demographic detail, the Podcast SEO buyer personas guide explains how to combine those figures with survey and platform data.
Accessibility and privacy limits in one pass
Transcripts do two jobs. They serve listeners who cannot hear the audio, and they give search engines text to index. The media accessibility user requirements explain how captions, audio description and keyboard-accessible players should behave. Match the standard, then write your own episode notes.
Where a podcast reaches under-18s, the ICO's children's information guidance governs newsletter sign-ups, analytics and listener surveys. A rival's lead capture form proves nothing about compliance.
Decisions the comparison should drive
| Situation | Do this | Avoid |
|---|---|---|
| Rival is a BBC Sounds commission | Copy structure: chapters, transcript, episode hubs | Benchmarking against their budget |
| Rival is an independent England show | Copy cadence and topic focus | Assuming a small team means weak SEO |
| Rival ranks for place-based terms | Use your own city names and local guests | Mimicking a regional accent you do not have |
| Rival has no transcript | Publish one and measure indexing | Assuming audio alone ranks |
| Rival data looks stale | Check RAJAR's latest quarterly release | Reusing last year's figures |
Recheck the sheet quarterly. If a rival changes format or a platform alters how it surfaces shows, run the comparison again sooner. Own-number benchmarks belong in the podcast SEO benchmark research guide, which covers when your own data beats a rival comparison.
Common questions
How many rivals should I track?
Three to five. More than that and the exercise becomes data collection rather than a decision.
Can I reuse a rival's episode titles?
Use the structure, not the wording. Study how they front-load the topic, then write a title that describes your own episode accurately.
Do transcripts really help podcast SEO?
They give search engines text where audio provides none. The size of the gain varies by show, so measure before and after.
How often should I repeat the research?
Quarterly, aligned with RAJAR's release cycle. Recheck sooner if a rival changes format or a platform changes how it surfaces shows.



