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How to Automate Your ASO Research and Metadata Generation with RespectASO — Transcript

by The Creator Behind · 2,212 words · 351 segments · language en · Watch on YouTube

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  1. 0:00Why do you need an AI researcher for
  2. 0:03your app store optimization? Let's say
  3. 0:05that you have an idea for which you want
  4. 0:07to develop a mobile app and publish it
  5. 0:09in the Apple App Store.
  6. 0:10But you first want to check if you can
  7. 0:12find keywords that are relatively easier
  8. 0:14to rank for in the Apple App Store
  9. 0:16before publishing your app because you
  10. 0:18want to make sure that the keywords that
  11. 0:20you choose for your app, if they are
  12. 0:22available at all, um have relatively
  13. 0:25lower pop- lower difficulty and
  14. 0:27relatively high popularity so that you
  15. 0:29can get downloads organically without
  16. 0:31paying lots and lots of money for paid
  17. 0:33advertisements.
  18. 0:34To be able to do this, you need to come
  19. 0:36up with a list of keywords. Then you
  20. 0:39need to go through them one by one to
  21. 0:41identify if they are really worth going
  22. 0:43for uh for using in your metadata,
  23. 0:46meaning in your app title, subtitle, and
  24. 0:48keyword list as an example.
  25. 0:51But this is actually a problem that can
  26. 0:52be automated and this new feature in
  27. 0:54Respect ASO is built just for that
  28. 0:58purpose.
  29. 0:59Um you come to the AI researcher uh tab
  30. 1:02here in the app
  31. 1:04um Respect ASO application. So in this
  32. 1:07section here, you are provided you are
  33. 1:10expected to provide a seed keyword. You
  34. 1:13can write here anything that you like.
  35. 1:15Then you pick the country which you want
  36. 1:18to target and there are 30 different
  37. 1:20countries for localization in Apple App
  38. 1:22Store.
  39. 1:23And you can optionally select a category
  40. 1:25as well.
  41. 1:26And what it does here, and you actually
  42. 1:29can find this information here as well
  43. 1:31if you click on the about this feature,
  44. 1:34um it goes through um
  45. 1:37uh the the apps in the Apple App Store
  46. 1:39that rank for the seed keyword that you
  47. 1:42have given,
  48. 1:43collects the
  49. 1:45metadata [clears throat] of these apps
  50. 1:47um
  51. 1:48uh ranking for the keyword or seed
  52. 1:50keyword that you provided, and collects
  53. 1:52the metadata in terms of app titles,
  54. 1:54descriptions, and so on.
  55. 1:55And with the help of AI in the
  56. 1:57background creates lots and lots of um
  57. 1:59keywords
  58. 2:01and goes through them one by one, checks
  59. 2:04out their popularity figures, difficulty
  60. 2:06figures, and
  61. 2:07calculates opportunity numbers,
  62. 2:09values, and then makes a list of
  63. 2:12keywords and picks the ones that are
  64. 2:16most relevant to your seed keyword, and
  65. 2:18also checks out the opportunity figures,
  66. 2:20popularity, and difficulty numbers to
  67. 2:22find the best possible ones, which will
  68. 2:25help you to rank organically as high as
  69. 2:27possible and as easy as possible, which
  70. 2:30you then later can use for for your app
  71. 2:33as well, which can also help you to
  72. 2:35define which kind of app you should be
  73. 2:36developing.
  74. 2:38So, let's go through an example. Um this
  75. 2:40is, by the way, something, you know, one
  76. 2:42thing that may take some somewhere
  77. 2:44between 1 to 5 minutes because it's a
  78. 2:47long process and it's lots of iteration
  79. 2:48going on in the background. This is an
  80. 2:50agentic system.
  81. 2:51Um so, you should be patient. So, I've
  82. 2:54already run. And what whatever the study
  83. 2:56or research you run here, a list is
  84. 2:58created down below here. Whenever you
  85. 3:00want, you can just click on it and start
  86. 3:03seeing the results.
  87. 3:05I already run an analysis for the seed
  88. 3:08keyword budget tracker. What happened
  89. 3:10here is that it went and and made a
  90. 3:13search with the term budget tracker in
  91. 3:15the background in Apple App Store,
  92. 3:17figured out the, you know, top ranking
  93. 3:19apps, collected all the metadata from
  94. 3:22those apps,
  95. 3:23created bunch of relevant keywords uh
  96. 3:26with the help of AI, and also added new
  97. 3:28keywords as well, which maybe doesn't
  98. 3:30exist in the metadata of these apps that
  99. 3:32are ranking, but those keywords may
  100. 3:35still be relevant to the seed keyword
  101. 3:37that you provided, and figured out
  102. 3:40popularity figures, difficulty figures,
  103. 3:43and opportunity values are calculated
  104. 3:45together with estimated number of
  105. 3:48downloads per day in the given
  106. 3:50localization,
  107. 3:51and it also classifies them one by one.
  108. 3:55In this case, the for the seed keyword
  109. 3:58budget tracker
  110. 3:59the tool has come up with 76 different
  111. 4:03keywords. And these can be single
  112. 4:06keywords or pair of keywords or maybe
  113. 4:08you know long tail keywords consisting
  114. 4:10of three keywords at once.
  115. 4:13And here in the source column you can
  116. 4:15see if the keyword itself was generated
  117. 4:18by AI
  118. 4:20or a combination or competitor apps and
  119. 4:24so on. So it actually figured it tries
  120. 4:27out many different things. You know, it
  121. 4:30combines the words. It can go for single
  122. 4:33words or you know you know
  123. 4:35keyword pairs and many different things
  124. 4:37and checks out the the the popularity
  125. 4:40difficulty opportunity values including
  126. 4:42estimated downloads.
  127. 4:44So after having this list here and by
  128. 4:47the way in the in the in the filter
  129. 4:49section here you can you can
  130. 4:53make searches like you know I if I just
  131. 4:55write manager then I start seeing the
  132. 4:58keyword list that that consists of
  133. 5:00manager or or includes the word manager
  134. 5:03and so on.
  135. 5:06And if we come down here after this
  136. 5:09list, okay, we have this list but what's
  137. 5:11going to happen? You know, what is the
  138. 5:12point? Um
  139. 5:14in the next section here you see
  140. 5:16recommended ASO metadata. If you want to
  141. 5:19develop an app
  142. 5:21the tool here says that you know these
  143. 5:23are the combinations that are worth
  144. 5:26considering for developing for
  145. 5:28developing the new app.
  146. 5:29So there's one recommended app title
  147. 5:31here network family finance pro
  148. 5:35and the recommended subtitle here simple
  149. 5:38budget and money clarity.
  150. 5:40And at the bottom here you see the
  151. 5:43keyword field. As you see freedom wealth
  152. 5:46manager etc., which consists of exactly
  153. 5:49100 characters. This may not happen all
  154. 5:52the time, you know, in some cases maybe
  155. 5:54it ends up at 93 characters, maybe 96
  156. 5:57characters, and so on. Uh you obviously
  157. 5:59have the freedom to update them later
  158. 6:01on. But these keywords are actually
  159. 6:03chosen in a way so that these can be
  160. 6:05combined, um
  161. 6:08you know, combined with some with some
  162. 6:11other keywords that are available or
  163. 6:13given in the app title and subtitle.
  164. 6:16Um for example, um you know, we have the
  165. 6:20family here in the recommended section.
  166. 6:22Maybe, you know, family wealth, you
  167. 6:24know, maybe we can end up ranking for
  168. 6:27for that
  169. 6:28keyword as well with the help of this
  170. 6:30combination. Family comes from app title
  171. 6:32and wealth the word to wealth comes from
  172. 6:34the keyword field or keyword list.
  173. 6:37So here we have this recommended ASO
  174. 6:39metadata. So you can also, you know, you
  175. 6:42have three different options, uh three
  176. 6:43different app title variants, and three
  177. 6:46different subtitle variants. You can
  178. 6:48pick any of them.
  179. 6:49And if you change, you will also see
  180. 6:52that if any keyword happens to be
  181. 6:55repeated in maybe app title and
  182. 6:57subtitle, for example, then you get a
  183. 7:00warning at the bottom,
  184. 7:02uh which warns you about the duplication
  185. 7:04so that you can later fix. For example,
  186. 7:07money and money in this case, if I pick
  187. 7:09the second app title suggestion here,
  188. 7:11uh is repeated in both app title and
  189. 7:13subtitle. Maybe I should go for another
  190. 7:16title, which is this one maybe.
  191. 7:18But it But on the other hand, I start
  192. 7:21seeing duplications in in keyword list,
  193. 7:23which I shouldn't be using because those
  194. 7:25keywords are already used in either app
  195. 7:27title and subtitle.
  196. 7:29So um it is your choice, and it is your
  197. 7:32decision to consider them.
  198. 7:34So we have these suggestion in terms of
  199. 7:37recommended ASO metadata that we can use
  200. 7:39in our mobile app, which is going to
  201. 7:41help us to get downloads organically and
  202. 7:43which is ready to use actually.
  203. 7:45But which kind of app can I actually
  204. 7:47develop by using these um
  205. 7:49keywords? And that information is
  206. 7:51available further down in the tool. ASO
  207. 7:54optimized app brief.
  208. 7:56With regards to the created um
  209. 7:58metadata suggestion here, it defines the
  210. 8:02micro problem the app can be solving, uh
  211. 8:05the metadata rationally um
  212. 8:09explaining um you know, the motivation
  213. 8:11behind the decision. Then you have the
  214. 8:13target audience, which kind of audience
  215. 8:15you can be targeting for this particular
  216. 8:17app.
  217. 8:18The competitor gaps and feature
  218. 8:20differentiators. So it gives you a
  219. 8:22starting point in terms of which kind of
  220. 8:24app you can actually develop by using
  221. 8:26the suggested or recommended metadata.
  222. 8:29And for the chosen or suggested metadata
  223. 8:33in particular,
  224. 8:34further down, you see the list of the
  225. 8:37keywords. But this keyword is generated
  226. 8:40particularly for the recommended
  227. 8:42metadata that is given up here, you
  228. 8:45know. The first keyword list up here was
  229. 8:47the keyword list that was generated
  230. 8:50based on the apps that are ranking for
  231. 8:53the seed keyword that we've given in the
  232. 8:54beginning.
  233. 8:56Further down here, this list here is
  234. 8:58generated based on the chosen and
  235. 9:00recommended metadata that we have.
  236. 9:03So net worth, family finance, simple
  237. 9:04budget, you know, and these are maybe
  238. 9:06single words and you know, combinations
  239. 9:08and stuff. For example, in the source
  240. 9:09column here, you can see where the uh
  241. 9:12keyword itself is coming from. In this
  242. 9:14case, it's coming from a combination
  243. 9:15from the title, title again, another you
  244. 9:18know, four different ones from subtitle,
  245. 9:21a title again, word finance pro, the
  246. 9:23keyword field, subtitle, and you are
  247. 9:26going to be seeing a bunch of different
  248. 9:28things including
  249. 9:29combinations as well. For example, net
  250. 9:31worth tracker is one combination, maybe
  251. 9:34coming from app title and subtitle or
  252. 9:36maybe app title and keyword list and so
  253. 9:38on.
  254. 9:40So, you have this complete list that if
  255. 9:43you go for the recommended metadata,
  256. 9:46then those are the keywords in
  257. 9:48particular your app is going to try to
  258. 9:51rank for. And in this case here, you can
  259. 9:53see the number 42 different terms you
  260. 9:56can be ranking for for your app in
  261. 9:59particular. Because in some cases, it is
  262. 10:01very difficult to figure out, okay, my
  263. 10:03app is actually getting some sort of,
  264. 10:05you know, organic downloads, but which
  265. 10:06keywords are actually bringing those
  266. 10:08downloads to my app? This list is going
  267. 10:10to help you a lot to figure out which
  268. 10:13keywords you can actually expect
  269. 10:16that, you know, that it's going to that
  270. 10:18that are going to help you to get
  271. 10:19organically organic downloads.
  272. 10:22If you come further down, um
  273. 10:25so, it gives you another
  274. 10:27suggestion. We went for budget tracker.
  275. 10:31So, this was the result of the study,
  276. 10:34but
  277. 10:35it is also possible for you to go for
  278. 10:38net worth, you know.
  279. 10:40What about searching for net worth
  280. 10:41because net worth as the as the keyword,
  281. 10:44according to respect ASO, has the
  282. 10:46popularity 84 and the opportunity figure
  283. 10:49here is 50 65, indicating that, you
  284. 10:52know, the the um difficulty is not that
  285. 10:55high with regards to the given
  286. 10:57popularity.
  287. 10:59And maybe, you know, difficulty is
  288. 11:00relatively high anyhow, but but
  289. 11:03popularity is very high as well, so
  290. 11:05there's maybe a good chance for ranking
  291. 11:06high enough to to get downloads.
  292. 11:09If you just click on this button here,
  293. 11:11it triggers the the new research once
  294. 11:13again based on this new uh seed keyword,
  295. 11:16which is net worth. And the tool itself
  296. 11:19comes up with the suggestion by itself
  297. 11:21by considering which other keywords are
  298. 11:23actually worth going for
  299. 11:25um in terms of in terms of difficulty,
  300. 11:28popularity, and opportunity figures, uh
  301. 11:30which can help us to to downloads
  302. 11:32organically with the help of the the
  303. 11:35easiness for ranking for such keywords.
  304. 11:39Further down here, you see the top
  305. 11:41competitors um
  306. 11:42for the given keyword seed keyword that
  307. 11:45the um respect ASO has analyzed for us.
  308. 11:49And if you click on the view button
  309. 11:51here, you can see them in the App Store
  310. 11:52as well.
  311. 11:54And lastly,
  312. 11:56if you want to iterate on the um budget
  313. 12:00tracker keyword itself instead of going
  314. 12:02for net worth here, for example, it is
  315. 12:05possible for you to uh provide a
  316. 12:08feedback here in the section.
  317. 12:10Um so, you know, maybe you want to you
  318. 12:14want the system to focus on some certain
  319. 12:16keywords more, or you maybe want to
  320. 12:18provide some kind of feedback for the
  321. 12:21selection of app title, maybe subtitle
  322. 12:23or keyword list, for example. Um you can
  323. 12:26provide that keyword and click on the
  324. 12:28refine with feedback so that it redoes
  325. 12:31the um
  326. 12:32it does the analysis once again based on
  327. 12:35the seed keyword budget tracker, but
  328. 12:37this time by considering your your given
  329. 12:40feedback.
  330. 12:42So, that's it.
  331. 12:44AI Researcher functionality here makes
  332. 12:47the life much easier if you have an idea
  333. 12:50and wondering which um
  334. 12:54which keywords you can go for uh when
  335. 12:57developing your new app. Maybe you end
  336. 12:58up with the conclusion that this field
  337. 13:01is too competitive, so you shouldn't be
  338. 13:03targeting uh this field with regards to
  339. 13:06its competitiveness and difficulty to to
  340. 13:08to rank for. Or maybe in some cases, the
  341. 13:11seed keyword that you provide really
  342. 13:13helps you to find the niche uh for which
  343. 13:16you can develop a mobile app and start
  344. 13:18getting downloads organically. And
  345. 13:20everything here in the AI Researcher tab
  346. 13:23automated with the power of AI.
  347. 13:25So, thanks for listening. Um and I hope
  348. 13:27that AI researcher tab and and
  349. 13:29functionality here helps you to create
  350. 13:32such apps which can help you to get
  351. 13:35downloads organically.

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