App Store Optimization for SEO Pros: What Transfers, What Doesn't, and Why It Matters in 2026

Here is the uncomfortable thing we had to admit to ourselves last year. We run an SEO and link building agency, we are good at it, and for ages we treated app store optimization the way most search people do. We nodded politely when a client mentioned their app, then quietly hoped nobody would ask us to actually touch it.

That stopped working. One of our SaaS clients pulled up their attribution data and a big slice of their new paying users were arriving through organic App Store search. The website got more traffic, sure, but the app was where money changed hands. So we learned app store optimization properly, made plenty of mistakes, and came out the other side with strong opinions about what an SEO actually needs to relearn versus what they can carry over wholesale.

This is that breakdown. What transfers cleanly, what will burn you if you assume ASO is just SEO with different tools, and why 2026 is the year this becomes a genuine service line rather than a polite nod.

What is ASO, and why should an SEO care?

App store optimization is the practice of improving an app's visibility and conversion inside the Apple App Store and Google Play. Same goal as SEO, different search engine. You are still matching what someone types into a box with the most relevant, highest quality result, and you are still fighting for the few positions people actually scroll to.

The reason it matters more than it used to is where people now spend their time. DataReportal's Digital 2025 Global Overview Report found that the world's mobile users spend less than 6 percent of their total smartphone time inside browsers and search engines. The rest happens inside apps. If your entire optimisation practice points at the 6 percent and ignores the 94, you have a strategy gap, not a tactical one.

The scale is enormous too. Sensor Tower's 2025 State of Mobile report put downloads across iOS and Google Play at 136 billion in 2024, with in-app purchase revenue crossing 150 billion dollars for the first time. That is the market you are choosing to ignore every time you say ASO is not your job.

And search drives a lot of it. Sensor Tower's analysis of App Store download sources found that around 59 percent of all App Store installs came from search, rising to roughly 70 percent for non-game apps. Discovery in the stores is overwhelmingly query-driven, exactly like Google. Which is precisely why your skills are worth more here than you think.

What ASO and SEO actually share

More than the product marketers want to admit. Here are the bits that map across almost one to one, in our experience running both.

Keyword research is the same muscle

Build a seed list, expand it into intent variations, score by volume and competition, cluster by the job the user is trying to do. The logic is identical. Only the tools change. If you already live in Ahrefs or Semrush for web work, you point the same brain at AppTweak, Sensor Tower or AppFollow and you are off.

The one real difference is query length. App store searches skew much shorter. People type "meditation", not "best meditation app for beginners with sleep stories". You build a tighter keyword list as a result, but the way you think about it does not change. Anyone who has already done serious mobile search optimisation work has felt this compression of intent into fewer words before.

Entity strength and brand recognition

If your client is a recognised brand, that helps in both worlds. Google's emphasis on reputation has a clear cousin in how the stores treat established developers. The work we do on entity optimisation for AI search carries over here neatly. A clear entity, consistent brand mentions across the web, and a solid knowledge graph footprint all feed into how an app gets surfaced, both inside the store and increasingly when an AI assistant gets asked to recommend something.

Ratings and reviews are a ranking signal, full stop

This is not folklore. Apple states plainly in its official App Store search documentation that results are based on text relevance (title, subtitle, keywords, primary category) plus user behaviour including downloads, ratings and reviews. It even spells out that "ratings and reviews appear on your product page and in search results, and can influence how your app ranks in App Store search."

If you already run review acquisition for local or service clients, you have the playbook. We wrote up the mechanics in our guide to getting more Google reviews and they transfer almost perfectly. Ask at the moment of genuine value. Make it stupidly easy. Never bribe for a rating. Respond to the bad ones in public, calmly. We have watched that single discipline drag an app from a 3.8 to a 4.4 over a quarter, and the ranking lift followed.

Competitive gap analysis

This is where SEO people have an unfair edge. You already know how to find the keywords a competitor ranks for, the ones they are missing, and the realistic wins in between. Run that exact exercise inside an ASO tool and you will quietly outperform most of the in-house ASO teams we have audited. The majority are doing flat keyword tracking with no competitor delta analysis at all. That gap is your opening.

Conversion rate optimisation

A store listing is a landing page. The icon, screenshots and preview video are the hero section. The description is the body copy. Every CRO instinct you have built for web pages applies: information hierarchy, social proof placement, value props above the fold. The difference is you can test it more cleanly, because both stores give you free experimentation tools, Apple's product page optimisation and Google Play's store listing experiments.

What does not transfer, and where we burned real hours

Nobody talks about this part, so it costs people weeks. There are structural differences that will trip you up if you treat ASO as SEO in a wig.

Backlinks do not move App Store rankings

Zero. You can run the most beautiful tier-one PR campaign for an iOS app and it will not directly move keyword rankings inside Apple's App Store. Apple does not crawl the web for backlinks the way Google does.

Google Play is a slightly different animal. Its official discovery documentation says ranking depends on user relevance, the quality of the app experience, editorial value and overall user experience, with those factors weighted differently across surfaces. There is reasonable evidence that web signals carry a little more here than on iOS, but it is nowhere near the weight a backlink carries for a website. So when we run a white hat link building campaign for an app, we sell it on branded search lift and referral, not on a direct ASO ranking bump.

We learned this the slow way. We spent a month convinced PR would push App Store rankings. It did not. It moved branded search, which moved organic installs through brand discovery. Still valuable. Completely different mechanic, and a much longer chain than we had assumed.

Technical SEO mostly evaporates

There is no robots.txt for the App Store. No crawl budget. No JavaScript rendering headaches. The whole technical stack that earns its keep on the web side gets replaced by a different set of concerns: app size, crash rates, launch time, retention and update cadence.

Google Play formalises this with Android Vitals, a quality dashboard that genuinely feeds ranking. Apps with high ANR (application not responding) rates or excessive battery drain get marked down. It is the closest thing ASO has to a Core Web Vitals analogue, and it lives in the Play Console, somewhere a typical SEO would never think to look. The skills overlap with our usual technical SEO work, but the dashboard and the levers are entirely different.

Schema markup is mostly irrelevant inside the stores

The stores do not read your structured data. Schema still matters on the app's marketing site, where it can earn rich results and AI citations, and we always recommend it there. Just do not expect a single line of JSON-LD to do anything once a user is inside the App Store itself.

Apple's keyword field is invisible to users

This one catches every SEO the first time. Apple gives you a separate keyword field that real users never see. Per Apple's own product page documentation, that field is limited to 100 characters, terms separated by commas with no spaces. The app name is up to 30 characters, the subtitle up to 30, and the promotional text up to 170, with the crucial note that promotional text does not affect ranking, so do not stuff it.

Google Play has no hidden field. As its store listing best practices spell out, you get a 30-character title, an 80-character short description, and a 4,000-character full description, and every word is visible. Google explicitly tells you to "give an overview of your app or game using everyday language, not a list of keywords." So iOS and Android genuinely need different content strategies. On iOS you hide components in the keyword field. On Android you write naturally for a human and let the long description do the semantic lifting.

The 2026 changes that broke older ASO advice

A lot of the ASO guides floating around were written for a different store. Two shifts in particular have changed what we prioritise.

The stores are getting more ad inventory

The direction of travel is identical to what happened to Google's results page between 2010 and 2020. More paid placements, less organic real estate, and therefore higher pressure on the quality of the organic positions that remain. The implication for ASO is the same as the implication for SEO. The top organic slots are worth more every quarter, and the ones below the fold are worth less. If you have lived through Google packing ads into the SERP, you already know how this story ends.

AI assistants are becoming an app discovery layer

When we ask ChatGPT or Gemini for an app recommendation, they tend to surface apps that are well described, well reviewed and have a strong web presence. That is not a coincidence, and it is the same dynamic we describe in our work on getting brands cited in ChatGPT and AI Overviews. A clear entity with consistent, accurate language gets picked. A keyword-stuffed listing with vague copy does not.

Siri and the wider on-device assistant layer are pushing the same way, toward semantic, conversational discovery rather than a directory lookup. Instead of typing "running app", people are starting to ask "what's the best app for tracking trail runs that works without signal". We dug into the assistant side of this in our piece on Apple Intelligence and search, and the entity-first principles map straight onto apps. The app that answers the intent best, in its metadata, its reviews and its web presence, gets suggested. The funnel is also fragmenting, with TikTok search and Gen Z discovery patterns sending users into store listings from outside the store entirely, which means ASO is no longer a contained discipline.

The practical ASO workflow we actually run

This is the bit we wish someone had handed us at the start. Here is the process, end to end, for a new ASO engagement.

1. Pull the baseline. Export both store listings, screenshot every visible element, and snapshot current keyword rankings in AppTweak or Sensor Tower. You cannot prove improvement if you never measured the start.
2. Run a keyword discovery sprint. Start with five seed terms. Expand into intent clusters: problem-solving, comparison, brand-adjacent, feature-led. Score by volume, difficulty and current rank. Same logic as web, smaller numbers.
3. Audit metadata against Apple's review guidelines. Section 2.3.7 of the App Store Review Guidelines is strict. It tells you not to "pack any of your metadata with trademarked terms, popular app names, pricing information, or other irrelevant phrases just to game the system", and says subtitles must not reference other apps. We have seen apps rejected for ignoring this. Catch it before submission, not after.
4. Rewrite the iOS title, subtitle and keyword field. Thirty, thirty and a hundred characters. Never waste space repeating a word, because Apple combines keyword-field terms into multi-word searches automatically. List the components, not the full phrases.
5. Rewrite the Google Play title, short and long descriptions. Write for a human. The first 80 characters of the short description are doing the heavy lifting above the fold, and the long description is read semantically, so natural language beats a keyword salad.
6. Plan screenshots as conversion and storytelling. Treat captions like the H2s and meta description of a landing page. They sell to humans and reinforce the story your metadata is telling.
7. Set up review acquisition. Trigger the native review prompt at the moment of highest satisfaction. Never after a paywall or a failed action. This is the single highest-leverage lever we have, because ratings feed ranking directly.
8. A/B test the icon and first screenshot. These are the highest-impact conversion elements, full stop. Apple's product page optimisation and Google Play's store listing experiments are free. There is no excuse not to use them.
9. Measure weekly, not daily. iOS rankings move slowly, Google Play a little faster, and daily monitoring will drive you up the wall. Weekly trend data is plenty.
10. Coordinate with the website. The marketing site should own the branded "app name download" queries and push install momentum. This is exactly where our SEO services turn into a force multiplier for the ASO work rather than a separate line item.

Why SEO agencies should add ASO to the stack

Most ASO is done badly, and we mean that as good news for you. Apps usually have either a product marketer who does not think in search, or an ad-buying team that obsesses over Apple Search Ads and ignores organic entirely. SEO agencies, especially ones already doing serious on-page work, have most of the muscles already built.

The cross-sell maths is generous. If a client has an app and you already manage their organic search, you have earned the right to ask about the store. The audit work is fast, the deliverables are concrete, and the artefacts are smaller than a content programme, so the production overhead is lower than retainer SEO with comparable margins.

What actually closes it is showing proof. We pitch ASO the same way we pitch search, with a clean before and after and proper attribution. An app ranking chart looks almost identical to a web ranking chart, so the same evidence and the same link building work that supports the marketing site translates into a story a client immediately understands. Same psychology, different platform.

The honest constraints, because ASO is not all upside

A few things we wish someone had flagged before we sold this as a service.

The data is worse. ASO tools lag SEO tools badly on depth and accuracy. Volume estimates from Sensor Tower, AppTweak and Mobile Action can disagree by an order of magnitude. Pick one tool, stick with it, and treat the numbers as directional, not gospel.

The attribution is harder. Both consoles give you organic install numbers, but you cannot reliably tie an install to a specific keyword the way Search Console ties a click to a query. Paid attribution through Apple Search Ads is cleaner. Organic remains a partial black box, and you have to be honest with clients about that.

Reviews can sink you fast. One bad update and a flood of one-star reviews can tank rankings for months, and there is no neat recovery playbook the way there is for a Google core update recovery. The fix is unglamorous: ship a better update, earn reviews back over time, and accept the timeline.

Apple is more closed than Google. Ranking changes arrive with less warning, less documentation and far less community signal than a Google update. You will spend more time on inference and less on direct evidence than you are used to, and you have to get comfortable saying "we think" rather than "we know".

What to do this week

If you are sold, here is the order we would run it.

1. Pick one existing client with an app. Pull their iOS and Android listings and snapshot their current visibility in a free tier of AppTweak or Sensor Tower.
2. Find three keywords they should rank for and do not. Use the exact gap analysis you would run for web, and write a one-page memo with the opportunity and the metadata changes you would make.
3. Audit their reviews and review velocity over the last 90 days. If it is flat, propose an acquisition plan tied to genuine in-app value moments, since ratings feed ranking directly.
4. Check their screenshots. Are they telling a story and selling the value, or are they five blurry phone mockups with no captions? This is usually a quick conversion win.
5. Send the memo with a paid scope attached. ASO retainers are easier to sell than people expect because the audit is fast and the deliverables are tangible.

That is the whole pitch. ASO is not optional for agencies that want to keep clients past 2026, the skills you already have transfer cleanly, and the differences are real but learnable. If you want a second pair of eyes on a client's search visibility across web, app and AI, or you would rather hand the ASO build to a team that has already made the mistakes, get in touch with us and we will tell you honestly whether it is worth your time.