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App: Chii Chako Saiti YeMuchina Zvakaitika (MX) Score?

Douglas KarrJul 11, 2025

Maminitsi e7 akaverengwa

Vagadziri vewebhu uye vatengesi vakapedza makumi maviri emakore apfuura vachikudza mushandisi Zvakaitika (UX)—unyanzvi nesainzi yekugadzira mawebhusaiti anonzwisisika, anokwezva, uye anowanikwa kuvanhu. Nekuuya kwa AI uye browser usability maficha, pamwe metric nyowani inoda kubuda iyo yakakosha zvakaenzana:

Zviri Mukati

Machine Experience

Machine Experience (MX) inoreva kuti webhusaiti yako inonyatso kutaurirana nemichina-mabhurawuza, AI vamiririri, vabatsiri vezwi, vanoverenga skrini, masevhisi eshanduro, uye mamwe masisitimu ayo zvino anoshandisa, kupfupikisa, kuverenga zvinonzwika, shandura, kubvunza, uye kupindura kune zvauri. Hazvisi zvekuti saiti yako inotaridzika sei kuvanhu-inyaya yekuti zviri mukati mako zvakarongeka uye zvakaratidzwa kuti michina inzwisise, kududzira, uye kuita.
Douglas Karr

Webhusaiti yako haichaverengeki nevanhu chete. Iyo yakapatsanurwa, inorondedzerwa, uye kunyange yakatsanangurwa neAI masisitimu. Kubva Safari's kutaurirwa kugutsikana Firefox's Reader View, kubva kuGoogle's AI overviews (IAO) kune Perplexity's ichangobva kuziviswa browser, kometi, kusimuka kwemuchina-inoverengeka zvemukati mashandisirwo anoda kutarisa kwakafanana padivi pemunhu-yakatarisana neUX.

apo Nhoroondo yevashandi inokoshesa kuyerera kwekuona, kupindirana, uye kujekesa kwedhizaini, Machine Experience inotungamira semantic chimiro, kuverenga kwemuchina, uye data yakarongeka. Ndezvekuita kuti zvemukati zvisangonaka chete, asi zvinonzwisisika kune masisitimu asina kumbobvira aita ona webhusaiti yako zvachose.

Kana zvirimo zvako zvisina kurongeka zvakanaka-kana zvakavigwa mukati <div> ma tag, akavanzwa kuseri kweJavaScript, kana kushaikwa semantics kujeka-zvinogona kutaridzika zvakanaka kumunhu, asi zvisingaonekwe kana kusashandiswa kune boka rinokura revatengi vedhijitari: AI vamiririri, vanoverenga skrini, masevhisi ekushandura, uye mabhurawuza akangwara. Chiitiko ichi ishanduko yekufambira mberi kwevatsvaki injini vanokambaira.

Chii chinonzi Semantic Markup?

Semantic markup inoreva kushandiswa kweHTML tags iyo tsanangura zvakajeka zvinoreva uye chimiro zvemukati peji rewebhu. Kusiyana neasiri-semantic zvinhu senge <div> or <span>, iyo isingapi ruzivo nezve zviri mukati mavo, semantic zvinhu zvinopa ese mabhurawuza uye anobatsira matekinoroji mamiriro ekuti zvakarongwa zvakarongwa sei uye kuti chikamu chimwe nechimwe chinomiririrei. Vanogona kusanganisira:

Metadata zvinhu: <title>, <meta>, <link>, <base>
Rongedzo zvinhu: <main>, <header>, <nav>, <section>, <article>, <aside>, <footer>
Content semantics: <figure>, <figcaption>, <time>, <mark>, <address>
Interactive kana ruzivo zvinhu: <details>, <summary>, <output>, <progress>, <meter>
Mafomu uye metadata: Semantic zvinhu zvinotsigira mafomu uye peji metadata

Iyo yaimbove ruzivo rwemeta yakabatana nesaiti ikozvino ndiyo yakarongeka uye isina kurongeka data inodiwa kuti zvemukati zvive nemazvo uye nyore kugayiwa nemichina. Ngationgororei kuti izvi zvinotamba sei mubrowser ecosystem-uye izvo mabhizinesi nevashambadzi vanofanirwa kuita kukwirisa zvese zviri zviviri. mushandisi uye Machine ruzivo rwemawebhusaiti avo.

Machine Zvakaitika Calculator

Maonero eAI, Maonero eVaverengi, uye Mavara-kune-Kutaura Ari Kutsanangura patsva Kubhurawuza paWebhu

Mabatiro anoita vanhu nemawebhusaiti ari kuchinja nekukurumidza kupfuura nakare kose. Mabhurawuza haasisiri maturusi ekuratidzira chete — ari kushanduka kuita vaturikiri vakangwara, vakagadzirirwa kwete kungoverengera kwevanhu asiwo kupfupisa kweAI, kurondedzera kwezwi, uye kushandiswa kunobatsira. Nekubatanidzwa kweAI-yekutanga kubhurawuza maturusi, akarerutswa evaverengi modhi, uye akamisikidzwa mavara-kune-kutaura maficha, zvirimo zvako zvino zvinofanirwa kutaura zvakanaka kune vese vanhu nemichina.

Nhasi, webhusaiti yako inokwikwidza pane zvinopfuura aesthetics kana mutoro wekumhanya. Inofanirwa kuve yakarongeka semantically, inoverengeka muchina, uye maererano nemamiriro ezvinhu yakajeka, kana njodzi yekusaonekwa kune yakakosha chikamu chemazuva ano nzira dzekushandisa. Shanduko iyi ine mhedzisiro huru pamagadzirirwo nemagadzirirwo emabhizinesi nekushambadza zvirimo.

Mabhurawuza eWebhu Havasiri Vangori Vataridzi

Mabhurawuza anotungamira akatogamuchira iyi shanduko:

Chrome inosanganisira yekuedza padivi-yekuverengera Modhi uye inotsigira yechitatu-bato edzedzero seReader View. Izvi zvinotsamira pane semantic markup kutsanangura uye fomati yakareruka maonero.
safari ikozvino inotsigira Reader View uye zvemukati zvinotaurwa (iOS 18+), zvichitsamira pane semantic cues kutora uye kuverenga zvakakosha zvemukati zvinonzwika.
Firefox inosanganisira yakasimba Reader View ine yakavakirwa-mukati rondedzero sarudzo. Injini yayo yekudhonza yakavakirwa pa Readability.js, iyo inotsanangura HTML chimiro chekupatsanura zvine chirevo.
Microsoft Edge inopa Immersive Reader, ine mafonti anogadzirika, marongero, uye maturusi ekuverenga anofambiswa nenzwi. Iyo zvakare inobatsira vashandisi nematambudziko ekutarisisa kana dyslexia nekurerutsa iyo yekuverenga interface.
Brave, Vivaldi, uye Opera ese anotsigira imwe vhezheni yeReader View, ingave yakavakirwa-mukati kana kuburikidza nekuwedzera, uchishandisa yakafanana heuristics kuona misimboti yemukati nzvimbo.

kometi, browser yechizvarwa chinotevera, inomiririra shanduko yakadzama zvakadaro. Iyo yakavakirwa kutenderedza AI kunzwisisa uye muchidimbu. Haingopi mapeji ewebhu — inoturikira, inoongorora, uye inopindura ichishandisa zvakarongwa zvemukati. KuPerplexity, webhusaiti idataset, kwete dhizaini.

Vatengi Havasisina Chete verenga Mapeji eWebhu

Kusimuka kwemavara-kune-kutaura, modhi dzevaverengi, uye maongororo eAI akagadziridza mabatiro anoita vashandisi zvirimo:

Vanoteerera pavanenge vachienda kana kuita zvakawanda: Mapeji ari kuverengwa zvinonzwika uchishandisa akavakirwa-mukati browser maturusi uye screen readers.
Vanoongorora pfupiso dzakarongwa pane kuverenga ndima: AI summarizers distill your content into short-form overviews.
Ivo vanoshandisa izwi rinopindirana kubvunza mibvunzo uye kugamuchira zvakananga, zvakapfuma mhinduro. Mhinduro idzi dzinowanzotora zvakananga kubva kune zvakarongwa.

Muchiitiko chega chega, semantic markup uye data yakarongeka inoshanda sebhiriji pakati pezvako uye aya matsva ekushandisa nzira.

Kunzwisisa Chokwadi Semantic HTML

Semantic HTML inopa chimiro chine musoro kune zvako zvirimo, ichibvumira mabhurawuza, tekinoroji yekubatsira, uye maAI masisitimu kuti anzwisise basa uye hierarchy yechinhu chimwe nechimwe. Izvo zvinopfuura kungoshandisa iwo ma tag chaiwo - ndezvekusaina chinangwa.

Kukosha Kwemaitiro & Hierarchical

<article>: Inomiririra yakamira, inogona kushandiswa zvakare senge mablog blog kana zvinhu zvenhau. Yakanakira ese ari maviri SEO (se indexable mauniti) uye RAG (se discrete inodzoreredzwa chunks).
<footer>: Inotaridza kupera kwepeji kana chikamu. Inobatsira kutara miganhu yezvose zviri zviviri indexing uye chunk segmentation.
<header>: Inosuma peji kana chikamu chine metadata kana zvifambiso zvekufambisa. Yakakosha pakutsanangura chimiro uye scoping zvemukati mune ese SEO uye LLM chunking.
<main>: Inotsanangura zvakajeka izvo zvekutanga zvewebhu peji. Yakakosha kuSEO nekuti inosaina kutsvaga injini kuti chii chiri pakati musoro. YeRAG, inobatsira kupatsanura musimboti wemukati kubva kumabhawa uye kufamba.
<nav>: Mapoka makuru saiti navigation link. Yakakosha kune SEO kuti unzwisise saiti yekuvaka; yeRAG, inobatsira masisitimu kufuratira zvisina basa zvinongedzo panguva yekunyorwa kwemukati.
<section>: Anoronga zvemukati kuita mabhuroko ane musoro, kazhinji aine misoro. Inotsigira zvirinani zvinyorwa zveSEO uye inobatsira maLLM kutsanangura misoro uye subtopics mumapaipi eRAG.

Zvinoenderana Nezvemukati & Mamiriro eMakaki

<em>: Zvikamu zvakasimbiswa, kazhinji zvichishandurwa nemavara akatsveyama. Inobatsira injini dzekutsvaga uye maLLM kuti asakosha kana manzwiro.
<h1>-<h6>: Musoro ma tags dhizaini yemukati hierarchically. Izvi zvakakosha kune SEO (injini dzekutsvagisa dzinorema izvi zvakanyanya) uye kutungamira maLLM mukuona masisitimu emusoro uye hierarchy panguva yechunking.
<mark>: Inosimbisa zvikamu zvinoenderana zvemavara. Izvi zvinonyanya kubatsira mune inoshanduka yekutsvaga interfaces uye maRAG UI kuratidza kuenderana kana zvakakosha zvemukati.
<p>: Inoburitsa ndima dzechinyorwa. Kunyange iri yakakosha, kushandiswa kwakakodzera kunonatsiridza kuverenga, keyword kugovera, uye semantic kujekesa kweRAG segmentation.
<strong>: Inoratidza kukosha kwakasimba kana kusimbisa. Yakaremerwa zvishoma kumusoro kweSEO uye inobatsira kuLLMs kuona kukosha mukati me block yemavara.
<time>: Inomiririra nguva chaiyo kana zuva. Yakakosha muSEO kune kutsva masaini uye muRAG masisitimu ekugadzirisa kana kuyera ruzivo rwenguva.

Media & Supplementary Context

<aside>: Iine tangential kana yekuwedzera zvemukati senge zvine hukama maposita kana sidebar. Kazhinji kusefa neese SEO neRAG masisitimu kuti atarise pane zvekutanga zvemukati.
<figcaption>: Inopa chinyorwa chezviri mukati <figure>. Inobatsira pakunongedza zvinhu zvinoonekwa uye kupa mamwe mamiriro eLLMs.
<figure>: Inoputira zvinoonekwa semifananidzo, machati, kana dhayagiramu. Inobatsira kubatanidza zvinoonekwa semantic nemavara anoperekedza.

Zvinhu izvi zvinoshanda pamwechete kugadzira chimiro chine musoro, chepamusoro icho michina inogona kusiyanisa uye vanhu vanogona kufamba, kunyanya munzvimbo dzakareruka dzekuverenga.

Nei Ichi Chimiro Chinokosha kune AI uye Chinyorwa-kune-Kutaura

Kana zvirimo zvamakwa semantic:

AI pfupiso injini inogona kuburitsa misoro, mamiriro ezvinhu, uye chokwadi nemazvo, ichipa mhinduro dzakafanira uye dzinobatsira.
Reader Views inogona kutsaura uye kuratidza chete zvinoenderana nezvirimo, kuvandudza kutarisa uye kuwanikwa.
Tsvaga injini inogona kupa akapfuma snippets, FAQs, uye zvimwe zvakarongwa zvakakwirira zvakananga mumapeji emhedzisiro kana vabatsiri vezwi.
Zvinyorwa-ku-kutaura-maturusi inogona kurondedzera zvirimo muhurongwa hune musoro, pasina kusvetuka makiyi mavara kana kusaverengera zvisizvo.
Dudziro Services inogona kupatsanura nekuturikira zvinyorwa zvinoenderana chete.

Zvemukati zvisina kurongeka, mukusiyana, zvinogona kusvetwa zvachose, kududzirwa zvisizvo, kana kupeperetswa kuita chivharo chisinga shandiswe chemavara. Izvi zvinokanganisa kuoneka uye ruzivo rwemushandisi.

Yakagadzirwa Data: Iyo Inotevera Layer yeMuchina Kuverengeka

Semantic HTML inopa chirevo chechimiro, asi data rakarongeka inopa ruzivo rwakajeka. Nekudzvanya schema.org markup, mabhizinesi anogona kuwedzera maitiro eAI nemapuratifomu ekutsvaga kududzira zvirimo. Mhando dzakajairika schema dzinosanganisira:

Article, NewsArticle, kana BlogPosting zvezvinyorwa
Product, Offer, uye Review zve e-commerce
FAQPage uye HowTo yezvinyorwa zvekudzidzisa
Event, Organization, uye LocalBusiness kuti zvionekwe mumamiriro emunharaunda kana kuwanikwa
Indasitiri-chaiyo mhando dzakadai AutoDealer, MedicalOrganization, RealEstateAgent, uye Restaurant.

Injini dzekutsvaga, vabatsiri vezwi, uye nzvimbo dzeAI dzinoshandisa iyi data yakarongwa kusimbisa mapaneru ezivo, mhinduro dzakananga, uye mhinduro dzezwi.

Makiyi Ekutora kune Mabhizinesi uye Vatengesi

AI-yekutanga mabhurawuza seComet uye vabatsiri vezwi seSiri, Alexa, uye Google Mubatsiri havasi kuverenga saiti yako nenzira yechinyakare. Vari kuzvitsanangura. Uye zvavanoona zvinoenderana zvachose nemarkup yako.

Gamuchira semantic-yekutanga pfungwa: Dhizaina zvemukati neHTML inotaura zvinoreva, kwete kungorongedza. Tags like <main>, <article>, <section>, <aside>, uye <footer> kupa zviratidzo zvinokosha.
Gadzira zvemukati zvine musoro: Shandisa misoro (<h1> through <h6>) kugadzira hutungamiri hwakajeka. Kamura zvemukati muzvikamu zvedingindira. Ipa intro uye kupeta kuburikidza <header> uye <footer>.
Shandisa data yakarongwa: Shandisa schema.org markup kutsanangura zvakajeka chinangwa chemukati-kunyanya ruzivo rwebhizinesi, zvinyorwa, zvigadzirwa, FAQs, uye masevhisi.
Ita shuwa kuwanikwa uye kuverenga: Semantic markup inobatsira vanoverenga skrini uye inobatsira tech. Text-to-kutaura injini dzinotsamira pazviri kutaura zvirimo muhurongwa chaihwo.
Deredza kuvimba neJavaScript: Ita shuwa kuti yako huru yemukati inopihwa mune static HTML, kwete dynamically jekiseni kana kuvanzwa kuseri kweanopindirana layer.
Edza mapeji ako muReader Views: Ongorora kuti saiti yako inotaridzika sei muSafari Reader View, Firefox Reader View, Edge's Immersive Reader, uye Perplexity's AI browser.
Nyora zvakajeka: Mamiriro ekunyora uye maumbirwo emitsara anovandudza zvese zviri zviviri kupfupisa kweAI uye kusanganisa kwekutaura kwechisikigo.

Kana meseji yako yakakosha yakaputirwa mukati <div>s, yakavigwa muJavaScript, kana yakatsemuka kuita zvikamu zvisina musoro, vamiririri ava vanogona kusvetuka pamusoro payo. Zvemukati mako hazvingokundikane kurongeka — hazvizoonekwe.

Webhusaiti Yako Haisisiri Ingori Peji-Iyo Inobva Dhata

Webhusaiti yako inokwikwidza kwete yekutarisisa kwevanhu chete asi yealgorithmic kunzwisisa. Zvingave zviri kutaurwa nescreen reader, zvakapfupikiswa neAI, kana kuti indexed yekutsvaga voice, zviri mukati mako zvinofanirwa kufomatidzwa kuti zvidudzire, kwete kungoratidzwa. Funga nezvezvako sesosi yeruzivo rwakarongwa, kwete bhurocha redhijitari. Mabhizinesi anogashira nzira iyi anowana meseji yavo ichifambiswa mberi nevanhu nemichina zvakafanana.