I Like Movies Review: strong tracker (85/100)

I Like Movies is a consumer mobile app marketing site for movie and TV tracking and recommendations.

Fact	Value
Domain	ilikemovies.app
Category	Movie and TV tracking and recommendation app
Pricing	Unknown; no price range supplied
Pages crawled	40
Crawl date	2026-10-12

Accessibility scored 94/100 and technical SEO scored 91/100, while usability scored 72/100 and remains the main constraint. I Like Movies presents a clear product: an iPhone and Android movie and TV tracker built around personal history, household sharing, and conversational recommendations.

The strongest evidence is spread across accessibility, technical SEO, and content integrity. Performance remains strong at 87/100, although mobile LCP is not uniformly under Google’s 2.5-second target. Decision-support surfaces scored 82/100, supported by comparison pages that disclose developer authorship and identify cases where another product is the better fit.

I Like Movies is clearly a movie and TV tracker for people who want to decide what to watch, with a useful emphasis on personal history and shared choices. Its central claim, “Everything you have watched. Everything you are going to.”, is followed by “The movie and TV tracker that helps you decide what to watch.” The crawl supports that promise with history-based recommendations, country-specific streaming availability, and one shared household library. The site names Letterboxd, IMDb, Trakt, Simkl, and TV Time, giving the positioning a credible competitive frame. The gap is proof: the supplied pages show product detail and screenshots, but no named customer metrics. Make the shared decision use case more explicit in the hero and add one verifiable proof point.

The homepage frames the real problem well: choosing a film takes time, even when the catalog is large. “Stop scrolling. Start watching.” leads into concrete jobs: use scores to build a shortlist, ask the assistant in natural language, check regional availability, and decide with a household. Screenshots make those flows tangible, while the FAQ covers imports, episode tracking, availability, and offline mode. The weakness is prioritization. AI collections, chat, friends, households, tracking, lists, statistics, imports, and streaming availability compete for early attention. Put one first-use journey ahead of the inventory: import or score, receive a shortlist, decide together, then record the result.

The product category is easy to identify, but the simulated walkthrough found a meaningful gap when a skeptical visitor tried to decide whether to start. The supplied homepage and task artifacts do not show a pricing or plans destination or concrete trust proof beside the app-start path; this gap appeared in 3 of 12 runs. Add a clearly labeled plans destination and one specific trust signal near the primary CTA. Mobile content discovery also needs work: Guides and Blog are crawlable at /guides and /blog, but hesitation appeared in 2 of 12 runs because the mobile evidence did not establish a prominent route. Expose those destinations in mobile navigation. The walkthrough stops at the pre-auth boundary and makes no claim about post-login behavior.

I Like Movies has a strong semantic baseline across the sampled pages. The homepage, blog, guides, changelog, press, and delete-account pages report landmarks, skip links, English language metadata, and no missing image alt text in those supplied samples; the broader crawl reports one missing-alt image on 17 pages, so the sample result should not be read as a whole-site finding. The blog has one confirmed structural issue: its heading sequence jumps from H1 directly to H3. Make article titles H2s, or add an H2 grouping heading. PSI also reports links relying on color alone on the AI recommendations and most-watchlisted pages; add a persistent non-color distinction in text blocks. These are targeted fixes, not a reason to revisit the whole system. Manual keyboard, focus, menu, dialog, and screen-reader behavior remains unverified and should be tested separately.

The sampled marketing and blog surfaces have a coherent hierarchy. The homepage uses one H1 followed by orderly H2 and H3 groupings, while the supplied PSI reports give the homepage an accessibility score of 100 on mobile and desktop. Mobile CLS is 0.00. The remaining work is implementation-level. PSI flags unsized images on both homepage strategies even with that zero-CLS result; add width and height attributes or stable aspect ratios. It also estimates 380 ms of mobile render-blocking savings and 205 KiB of mobile image-delivery savings, compared with 80 ms and 431 KiB on desktop. Defer non-critical resources, serve viewport-appropriate assets, and add a prefers-reduced-motion override where motion is used.

I Like Movies performs well in lab testing, but the slower content path remains above the 2.5-second mobile LCP target. The homepage scored 99 in PageSpeed, with 2.3 s mobile LCP, 0 CLS, and 34.5 ms total blocking time. A representative data page reached about 3.0 s mobile LCP and 85 ms blocking time. No CrUX field metrics were returned, so these are lab observations rather than a real-user verdict. PageSpeed also estimates 548 KiB of homepage cache-lifetime savings and flags 17 KiB of legacy JavaScript plus up to 74 KiB of unused JavaScript. As an implementation option inferred from the short cache-lifetime evidence, give hashed assets long immutable caching, keep HTML revalidation short, split route-specific code, and profile the slower template until its mobile LCP is below 2.5 s.

I Like Movies earns trust on its comparison surfaces by stating who wrote them and where the competitor wins. The Trakt page assigns automatic tracking, ecosystem breadth, cross-platform reach, and deeper history to Trakt, while positioning I Like Movies around phone-first decisions and shared household use. The Dutch-film page is a different surface: it ranks 15 films by TMDB user score and offers date sorting, but the supplied evidence does not show mood, duration, or viewing-context guidance. Keep the transparent ranking, then add a few evidence-backed “best for” paths. Comparison pages would also benefit from a visible last-checked date and short change note; the sampled freshness inventory reports no published or last-modified date.

The Trakt comparison uses an unusually direct integrity pattern: it identifies the developer as author, says a one-sided comparison is not neutral, declines to score either app, and names concrete areas where Trakt is stronger. That is a credible synthesis model because it does not claim hands-on testing or pretend to be independent. The missing layer is repeatability. The supplied page includes feature-level claims and a comparison table, but no formal methodology block, source list, or visible published/updated date. Add the criteria, source basis, verification date, and a dated what-changed line. The sampled ranking page shows no affiliate links in the probe, so no disclosure issue is evidenced; preserve the same directness if monetization is introduced later.

The supplied crawl shows no active technical suppression. All 40 sampled URLs returned 200 with self-canonicals, robots allows crawlers, the sitemap is declared, the soft-404 probe returns 404, and raw and rendered content match on every page. The domain was registered on 2026-07-25, so this is a young property rather than a site with a mature two-year traffic baseline. The practical resilience work is straightforward: 11 titles exceed typical display length, 17 pages contain one missing-alt image, and the press page contains oversized imagery. Those issues can reduce snippet clarity, accessibility, or efficiency, but the evidence does not support calling them traffic suppression. Search Console is not connected, so clicks, impressions, and historical losses cannot be measured.

I Like Movies reads more like a maintained publication than an unedited content mill. Comparison pages disclose their limits and state where the other app is better. The first QA priority is structure: N1 reports 2,388 words in one paragraph on the homepage and 2,943 words in one paragraph on the changelog, with changelog sentences averaging 210.2 words. These paragraph and sentence measurements are extraction-level signals pending verification in rendered HTML, not confirmed reader-facing defects. Repeated missing-alt findings suggest a shared component omission, while title-length flags are direct template fixes. Preserve the strong decision framing, split dated releases and bullets into semantic blocks, add missing alt text to informational images, and shorten flagged titles.

Technical SEO is in strong shape. All 40 crawled URLs returned 200, each listed URL has a self-canonical, and the homepage resolves over HTTPS through a single 301. Robots explicitly allows major crawlers and declares the sitemap; /llms.txt is present at 200. Raw and rendered word counts match on all 40 pages, including the homepage at 2,390 versus 2,390, so primary content is not dependent on client-side hydration. The remaining work is polish: 11 pages have titles longer than typical display space, 17 pages report one missing-alt image, and /press contains six oversized images, including a 1,800 KB image displayed at 169 px. Shorten titles, add intentional alt text, and serve responsive press imagery.

I Like Movies earns 85/100 because its public surface makes the product legible and supports that promise with strong accessibility, technical SEO, and candid comparison content. It is a good fit for film and TV viewers who want to keep a personal history, receive recommendations shaped by that history, or share a watchlist with a household.

The fixable weaknesses are concentrated in the first-use experience. Usability scored 72/100, and the site should make the mobile decision path more direct. Performance is strong at 87/100, but mobile LCP is not consistently under the 2.5-second target. Editorial QA also scored 76/100, with mechanical and structural checks still needing attention. The overall position is positive: the product is clear, technically healthy, and unusually candid about comparison limits, while onboarding remains the highest-value improvement.

This article surfaces 11 dimensions from a 13-dimension review of the public site, based on 40 crawled pages captured on 2026-10-12 and the supplied public dimension score table. The review covers positioning, audience and messaging, usability, accessibility, design execution, performance, decision-support surfaces, review-content integrity, risk and stability, editorial QA, and technical SEO.

Search Console was not connected, so this review does not use Search Console data. The site profile identifies the audience as film and TV viewers who track personal history, want personalized recommendations, or share a watchlist with a household. See How SiteList scores for the review method.