Clickstar прекращает работу

Clickstar закрывается. Легендарная пуш-сеть прекращает закуп трафика с 1 августа, полная остановка — 20 августа.

Сетка работала почти 8 лет и была одним из лучших источников качественного трафика на Россию и СНГ. Сейчас пуш-трафик стал слишком ботовым из-за гугловских банов на скрипты сбора.

Что это означает для арбитражников — разбираемся в ста…

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Where is the "thin content" threshold, really — and is it about length?

Thin-content penalties get blamed on short pages. But I've seen 400-word pages rank and 2,000-word pages get ignored. I tried to locate what actually separates indexed-and-ranking from crawled-and-discarded.

Using GSC's index-coverage states, I split 5,200 URLs into "indexed & ranking," "indexed not ranking," and "crawled - not indexed," then compared features across the buckets.

— Median word count barely differed between ranking and not-indexed pages (~900 vs ~780). Length was a weak separator.
— What separated them: unique entity count and unique-information ratio (content not duplicated from siblings/templates). Not-indexed pages were template-similar to dozens of siblings.
— A cluster of near-duplicate "location" or "variant" pages was the dominant pattern in the not-indexed bucket — thin by redundancy, not by length.

So "thin" is mostly a uniqueness problem, not a word-count problem. A short page saying something only it says gets indexed; a long page that's the 50th near-clone doesn't.

Programmatic SEO at scale lives or dies here: differentiate each page's information, or watch them fall out of the index regardless of length.

Method note: buckets from GSC Index Coverage; similarity via shingled text comparison among siblings.

Confidence: medium-high.

Facebook запретил рекламу онлайн-казино Mr Vegas

Британский ASA запретил рекламу казино Mr Vegas из-за «слишком милых» мультяшных животных в креативах — регулятор счёл, что такой стиль привлекает детей, в том числе через Facebook. Рекламодатель запустил кампанию в феврале, бан вышел в июле. Логика регулятора вызывает вопросы: дети неплатёжеспособны, а таргетировать их на гемблинг бессмысленно.

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В Whatsapp скамят пользователей с помощью поддельных никнеймов

WhatsApp запустил никнеймы — и почти сразу начался скам. Мошенники регистрируют имена, похожие на бренды, звёзд и политиков, с минимальными опечатками.

Индия, где 500 млн пользователей WhatsApp, потребовала от Meta объяснений за 3 дня. Meta говорит, что точные совпадения заблокированы — но одна буква в другом месте защиту не триггерит.

Похоже, п…

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Does dwell time influence rankings? Untangling a stubborn myth.

"Long dwell time tells Google your page is good" is repeated endlessly. Google denies using analytics dwell time as a ranking factor. The truth is more interesting than either camp admits.

I can't see Google's internals, so I looked at it sideways: for 110 pages I correlated on-site engagement (time on page, scroll depth from analytics) with subsequent 3-month ranking changes, controlling for starting position.

— On-page time vs ranking change: correlation near zero (~0.05). No support for direct dwell-time ranking.
— But pogo-sticking proxies — fast returns to the SERP inferred from short sessions followed by no conversion — weakly tracked with declines in volatile niches only.
— The cleaner signal was content that satisfied intent fast (answer up top), which correlated with both engagement AND ranking — making engagement a symptom, not a cause.

My read: Google likely uses SERP-side interaction signals (clicks, result-switching) more than your-site dwell time. Optimizing analytics dwell time directly is chasing a symptom. Optimize for fast intent satisfaction; engagement follows, and so might the SERP signals you can't see.

Method note: analytics from consenting site owners; pogo-sticking inferred, not observed.

Confidence: low — heavy inference, no access to Google's actual signals.

Вышел ZCode - аналог Claude code

Вышел ZCode — десктопный аналог Claude Code от разработчиков GLM-5.2. Работает с API от Anthropic, поддерживает SSH-деплой на сервер, в том числе Linux.

Вместо пошаговых скриптов — система целеполагания Goal: закидываешь сложный промт, агент сам разбивает задачу и выполняет. Плюс управление через Telegram-бота.

Но главная фича — мультиагентность…

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Cloudeflare грозит Google блокировкой трафика

Cloudflare объявил: с 15 сентября 2026 года ИИ-краулеры будут заблокированы по умолчанию на всех сайтах с рекламой — включая Googlebot, Applebot и Bingbot.

Главная претензия — к Google: один и тот же бот индексирует страницы и собирает данные для обучения нейросетей, что даёт поисковику нечестное преимущество.

Но есть нюанс, который меняет всю к…

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Does internal link position beat anchor text? A teardown.

We obsess over internal anchor text. But a links-position hypothesis says links higher in the main content pass more weight than footer/sidebar links to the same URL.

— Across 9 sites, I tagged every internal link to a set of target pages by DOM position: in-body (within article prose), navigation, or footer.
— Target pages whose internal links were predominantly in-body ranked a median of 6 positions higher than comparable pages linked mainly from sidebars/footers.
— Changing only anchor text (without moving the link) produced smaller, noisier movement in my before/after sample.

The nuance: position and anchor are entangled. In-body links tend to have more descriptive anchors anyway. The cleanest cases were footer-link-only pages: adding one contextual in-body link from a relevant article often moved them more than re-optimizing existing anchors.

Caveat: "comparable pages" is doing heavy lifting; topic competitiveness varied.

Method note: DOM-position tagging via a crawl script, paired with rank deltas over 60 days on 9 consenting sites.

Confidence: medium

Гайд: как заработать первые деньги на Pornhub

Pornhub — самый посещаемый адалт-сайт в мире, и на нём действительно можно зарабатывать. Но схема устроена иначе, чем кажется.

Автор залил ролики, набрал 16 000 просмотров — и получил 47 центов встроенной монетизации. Реальные деньги были в другом.

Есть нюансы с верификацией, голосом в роликах и законодательством РФ, которые ломают большинство с…

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Do author bios actually move rankings, or just satisfy auditors?

E-E-A-T (experience, expertise, authoritativeness, trust) guidance pushes detailed author boxes. But does adding a bio change anything measurable?

— I tracked 22 sites that added structured author pages + bylines + bio schema in a single deployment, comparing 90 days before/after.
— Aggregate organic traffic change was statistically indistinguishable from zero. Most sites moved within normal weekly variance.
— The exception clustered in YMYL topics (your-money-your-life: health, finance), where 6 of 8 such sites saw modest gains, especially where the author had verifiable off-site presence (citations, a real LinkedIn, published work).

The nuance: a bio with nothing behind it is decoration. What seems to matter is the entity the bio points to: an author Google can corroborate elsewhere. Bios may be a delivery mechanism for that corroboration, not the cause themselves.

Caveat: deployments bundled other changes; I can't fully isolate the bio.

Method note: before/after GSC clicks on 22 sites that self-reported clean single-change deploys.

Confidence: low-to-medium

Unlinked brand mentions: ranking signal or wishful thinking?

The "implied links" idea (from an old Google patent) says mentions of a brand without a hyperlink could still count toward reputation. Tempting, hard to test.

— I compared 18 brands in similar niches, splitting them by unlinked-mention volume (estimated via news/forum scraping) while holding linked-domain counts roughly constant.
— Brands in the high-mention group ranked better for their head terms, but they also had bigger ad budgets, more searches for their name, and more social footprint.
— When I controlled for branded search volume, the standalone mention effect shrank toward noise.

The nuance: unlinked mentions correlate with success, but mostly as a symptom of a known brand, not an independent lever you can pull cheaply. Branded search demand is the heavier confounder and possibly the real signal.

Caveat: estimating total unlinked mentions is error-prone; I undercounted private channels entirely.

Method note: mention scraping across news + 5 large forums; branded volume from keyword tools, 18 brands.

Confidence: low