TF-IDF tools vs embedding similarity for content coverage: measuring different things

Question: when scoring whether your draft "covers the topic," do term-frequency tools (TF-IDF style) or embedding-based similarity give better guidance?

Evidence: TF-IDF tools (Surfer/Clearscope-style term lists) tell you which words top pages share — useful, but they reward lexical matching and can be gamed by stuffing terms. Embedding similarity (comparing the meaning vector of your text to top results) captures semantic coverage and resists keyword stuffing, but gives vaguer guidance — a number, not a checklist. On one rewrite, hitting the TF-IDF term targets raised the embedding similarity only marginally; the gain came from answering missing sub-questions, which neither tool names directly.

Nuance: TF-IDF tools are an actionable proxy; embeddings are a truer-but-blunter measure. Use term tools to find obvious omissions, then judge information gain by hand.

Method note: one rewrite scored with both a term-coverage tool and cosine similarity to top results.

Caveat: n=1 document; both are proxies for relevance, not relevance itself.

Confidence: low

Subfolder vs subdomain for a new topic area: does authority transfer?

Question: launching a new vertical, do you put it in a subfolder (site.com/topic/) or subdomain (topic.site.com)?

Evidence: Google states subdomains and subfolders are treated similarly, but case studies repeatedly show subfolders inheriting parent authority faster in practice — likely because internal link equity and shared template signals flow more naturally within one host. Several documented migrations from subdomain to subfolder reported traffic gains, with few credible reverse cases. The mechanism is probably link consolidation, not a hard rule.

Nuance: the subfolder advantage is mostly an artifact of how easily equity flows on one host, not a penalty against subdomains. If the new area is genuinely a distinct brand or needs isolation, a subdomain's tradeoff can be worth it.

Method note: synthesis of multiple public migration case studies plus Google's stated position.

Caveat: case studies suffer survivorship bias; confounded by simultaneous changes.

Confidence: medium

ЕЮ Иванов продолжает кошмарить АффПапу, конторку, которая накинула говна на вентилятор этим летом. Тогда в AffPapa не знали, с каким говном идут бодаться, поэтому заслуженно проиграли. 😏

На этот раз ЕЮ зарегал товарный знак AffPapa — совсем скоро имя компании будет официально принадлежать ему. Чтобы убедиться в трушности мува, переходим по ссыл-Очке и вводим серийный номер: 2026793242. Там видим, что заявка на регистрацию подана лично Евгением Юрьичем.

Всё это выглядит забавно, но давайте не забывать, в какой сфере мы работаем и что реально может произойти с жирным троллем за воровство нейминга. Впрочем, толстому не привыкать отхватывать пиздов за проделки в интернете, поэтому ждем очередную фотку разбитого ебала и длинный пост с извинениями. 😏😏😏

В арбитраже денег нет 💵

Internal site-search data vs keyword tools for finding gaps: the underused dataset

Question: for discovering what your audience actually wants, does your own site-search log beat third-party keyword tools?

Evidence: Keyword tools report aggregate market demand; internal search reports your visitors' unmet demand in their own words — often phrasings with no measurable global volume. On two sites, 25–40% of high-frequency internal queries had near-zero volume in standard keyword tools, yet several became real long-tail traffic pages once created. Internal search also reveals zero-result queries: explicit gaps where visitors wanted something you don't have.

Nuance: keyword tools size the market; internal search reveals intent the tools can't see yet. For information-gain content — covering what rivals miss — zero-result internal queries are among the highest-signal inputs available.

Method note: two sites' internal site-search logs cross-referenced with keyword-tool volumes.

Caveat: internal search reflects existing traffic's bias, not the whole market.

Confidence: medium