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Channel

Пиксель Тулс: ИИ, SEO. Проекты & инструменты

@pixeltools

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,751subscribers

+32 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001272092022
TypeChannel
Username@pixeltools
CreatedBetween 1 April 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live8 November 2026
Measurements held23
Confirmed unchanged1 time, most recently 8 November 2026
On Telegramt.me/pixeltools

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 17 September 2026 and assigned it the closest of 31 fixed categories, at 95% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@geoaiseo/6525 Jun 2026, 17:00 UTC@pixeltools/1328 · this entry25 Jun 2026, 17:01 UTC1.0072 seconds
@pixeltools/1331 · this entry13 Jul 2026, 09:21 UTC@geoaiseo/7013 Jul 2026, 09:43 UTC1.0022 minutes
@pixeltools/1334 · this entry14 Jul 2026, 13:18 UTC@geoaiseo/7314 Jul 2026, 13:19 UTC1.00under a minute
@pixeltools/1335 · this entry15 Jul 2026, 14:42 UTC@geoaiseo/7415 Jul 2026, 14:44 UTC1.002 minutes
@pixeltools/1340 · this entry21 Jul 2026, 07:02 UTC@geoaiseo/7821 Jul 2026, 07:02 UTC1.00under a minute
@pixeltools/1342 · this entry29 Jul 2026, 07:01 UTC@geoaiseo/8129 Jul 2026, 07:01 UTC1.00under a minute
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@geoaiseo13 (8/8 hand-verifiable sample passed)1.0072 secondsthis entry (11–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 20 comparable posts for this entry, running 17 June 2026 to 5 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 2 channels, the one whose matching posts we hold earliest is @geoaiseo. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

1,7101,7521,7316 August 2026 — 1,719 subscribers6 August 2026 — 1,719 subscribers9 August 2026 — 1,715 subscribers12 August 2026 — 1,711 subscribers15 August 2026 — 1,710 subscribers19 August 2026 — 1,713 subscribers22 August 2026 — 1,717 subscribers25 August 2026 — 1,716 subscribers28 August 2026 — 1,717 subscribers31 August 2026 — 1,719 subscribers3 September 2026 — 1,721 subscribers16 September 2026 — 1,719 subscribers30 September 2026 — 1,725 subscribers7 October 2026 — 1,738 subscribers13 October 2026 — 1,741 subscribers16 October 2026 — 1,738 subscribers19 October 2026 — 1,741 subscribers23 October 2026 — 1,742 subscribers25 October 2026 — 1,741 subscribers28 October 2026 — 1,744 subscribers31 October 2026 — 1,749 subscribers3 November 2026 — 1,752 subscribers8 November 2026 — 1,751 subscribers1,7516 August 20268 November 2026
23 measurements spanning 95 days, net +32. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,704–1,758 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)SubscribersChange
8 Nov 2026, 20:361,751-1
3 Nov 2026, 03:081,752+3
31 Oct 2026, 04:211,749+5
28 Oct 2026, 12:401,744+3
25 Oct 2026, 18:551,741-1
23 Oct 2026, 00:201,742+1
19 Oct 2026, 19:371,741+3
16 Oct 2026, 14:541,738-3
13 Oct 2026, 16:181,741+3
7 Oct 2026, 12:561,738+13
30 Sept 2026, 09:581,725+6
16 Sept 2026, 03:561,719-2
3 Sept 2026, 23:001,721+2
31 Aug 2026, 15:361,719+2
28 Aug 2026, 15:531,717+1
25 Aug 2026, 16:131,716-1
22 Aug 2026, 18:261,717+4
19 Aug 2026, 00:221,713+3
15 Aug 2026, 18:031,710-1
12 Aug 2026, 06:421,711first reading

Engagement

20 posts held, back to 17 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

158 reactions across 20 posts, in 7 distinct kinds. The most used accounts for 32.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍5132.3%
❤4528.5%
🔥4327.2%
👏106.33%
❤‍🔥53.16%
😁31.90%
🤔10.633%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 20 of the 20 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 158 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 17 June 2026 to 5 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

5 Aug 2026, 08:30 UTC190 views11 reactionsread 7 August 2026
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⚡️ Добавляйте отслеживаемых конкурентов в AI-проект В разделе «Конкуренты» появилась возможность добавлять бренды, за которыми вы хотите следить отдельно. Укажите компании, которые важны именно для вашего бизнеса, — и анализируйте их видимость в ответах нейросетей вместе с конкурентами, найденными сервисом. 🎯 Как это работает? В разделе «Конкуренты» нажмите кнопку «Настроить конкурентов» и добавьте до 100 брендов …

👍5❤3🔥3

4 Aug 2026, 08:30 UTC194 views7 reactionsread 7 August 2026
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⚡️ Покупатель ушёл в ИИ? Разбираем новый путь пользователя в 2026 году Раньше путь к покупке выглядел просто: запрос → поисковая выдача → сайт или маркетплейс → корзина. Теперь между запросом и решением всё чаще появляется нейросеть: она предлагает варианты, сравнивает товары и помогает сформировать шорт-лист ещё до первого перехода на сайт. В новой статье разобрали, как нейросети меняют путь пользователя и что биз…

👍5👏1🤔1

29 Jul 2026, 11:00 UTC369 views3 reactionsread 7 August 2026
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📁 Папки в списке GEO-проектов В списке GEO-проектов появились папки. Теперь проекты можно объединять так, как удобно именно вам: по клиентам, брендам, исполнителям, направлениям или этапам работы. Особенно полезно, когда проектов много и нужный приходится долго искать в общем списке. ➕ Как создать папку? — Откройте «Список GEO-проектов». — Нажмите на селектор папок в шапке таблицы (справа от «Все проекты») или на …

👍2❤1

29 Jul 2026, 07:01 UTC325 views13 reactionsread 7 August 2026
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⚡️ Проверка упоминаний бренда в источниках В GEO-проектах появилась новая опция — «Проверять упоминание бренда в источниках». Она помогает понять не только, упоминает ли нейросеть ваш бренд, но и есть ли он на страницах, на которые нейросеть ссылается в своём ответе. 🎯 Что показывает проверка? После обновления проекта сервис проанализирует источники из ответов нейросетей и покажет, на каких страницах встречается б…

👍7❤4🔥2

27 Jul 2026, 07:02 UTC370 views8 reactionsread 7 August 2026
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⚡️ Сравнивайте ответы нейросетей и динамику проекта за разные даты В разделе «Позиции и упоминания» появилась новая вкладка — «Сравнение ответов». Теперь можно сопоставить ответы нейросети за 2 даты и быстро понять, что изменилось в упоминании бренда или сайта. 🎯 Что можно сравнить? — Ответы нейросети на один и тот же промпт в разные даты. — Позиции бренда в ответах нейросетей: выросли, снизились или остались без …

🔥4❤2👍2

21 Jul 2026, 07:02 UTC456 views6 reactionsread 7 August 2026
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⚡️ Частичное обновление GEO-проектов Добавили возможность запускать проверку не по всему проекту, а только по нужной группе или списку промптов. Это удобно, когда нужно точечно обновить данные и не расходовать лимиты на повторную проверку. 🎯 Что можно выбрать? — Группу промптов, например ситуативные, сравнительные или репутационные. — Конкретные промпты из списка. 🔄 Что произойдёт с остальными данными? Доступны …

👍6

20 Jul 2026, 08:51 UTC730 views12 reactionsread 7 August 2026
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🧠 Анонс вебинара «Первый рейтинг GEO-факторов: что реально влияет на ответы нейросетей» 23 июля в 11:00 (МСК) Вместе с экспертами рынка мы провели исследование и составили первый рейтинг факторов, которые влияют на видимость бренда в ответах нейросетей: Алиса AI, ChatGPT, Gemini, Perplexity, Claude, Qwen и DeepSeek. В исследовании — 43 фактора, оценки 9 практикующих GEO-специалистов и выводы, которые помогут выстро…

👍5🔥4❤3

16 Jul 2026, 13:52 UTC192 views4 reactionsread 7 August 2026
Forwarded from @sapeseoteamPhoto

Видимость сервисов бронирования отелей в нейросетях: кто попадает в ИИ-ответы и почему ✏️ Делимся новым исследованием ✏️ Анализ охватывает 826 ответов четырех генеративных моделей (ChatGPT, Алиса, Gemini и Google AI Overview) на 242 уникальных промпта. Ключевые выводы: ✨ Сравнительные запросы: устойчивая тройка лидеров — Ostrovok, Booking и Яндекс Путешествия Эти три сервиса доминируют во всех восьми подкатегори…

👍3❤1

15 Jul 2026, 16:05 UTC382 views8 reactionsread 7 August 2026

И восстали машины из пепла ядерного огня… И начали рекомендовать бренды в ответах ChatGPT, Алисы, DeepSeek и Perplexity 🤔 🔥 Новый Пиксель Подкаст уже в эфире. Вместе с Владимиром Назаровым разбираемся, что такое GEO, почему это не просто SEO с новой вывеской и как бизнесу попадать в ответы нейросетей. Обсудили KPI, бюджеты, сроки первых результатов, роль PR, внешних источников и репутации. А ещё — как изменится мар…

🔥4😁3❤1

15 Jul 2026, 14:42 UTC440 views6 reactionsread 7 August 2026
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🏆 Рейтинг GEO-агентств Мы создали площадку, где бизнес может выбрать подрядчика для продвижения в Алисе AI, ChatGPT, Perplexity и других ИИ-системах. В одном месте собрали агентства, их специализации, активные проекты, кейсы, команды и контакты, чтобы можно было сравнивать исполнителей не по обещаниям, а по реальной экспертизе. 🔎 Как выбрать агентство? — Отфильтруйте компании по направлениям: GEO, SEO, контент-стр…

👍4❤2

14 Jul 2026, 13:18 UTC357 views4 reactionsread 7 August 2026
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🎯 Конверсия трафика из нейросетей в GEO-проектах Добавили блок «Конверсия трафика из нейросетей» в раздел «KPI: бренд и трафик». Он показывает, какие нейросети не просто приводят посетителей, а становятся источниками целевых действий на сайте. 📊 Что можно посмотреть? — Общее количество целевых действий за период и вклад каждого источника — в цифрах и процентах. — Динамику: рост, просадки и всплески. — 10 источнико…

❤2👍2

14 Jul 2026, 07:02 UTC326 views5 reactionsread 7 August 2026
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🤖 Автогенерация контент-плана в GEO-проектах Добавили автогенерацию контент-плана. Не нужно гадать, о чём писать, — система сама покажет темы, которые помогут вашему бренду и сайту попасть в ответы Алисы AI, ChatGPT, Perplexity и других нейросетей. ⚙️ Как это работает? — Жмёте «Сгенерировать» в разделе «Контент-план». — Система анализирует промпты проекта и группирует похожие по источникам, сущности и интенту. — Д…

👍3❤2

Showing the 12 most recent of 20 posts we hold for @pixeltools. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 5 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 8 November 2026 — this entry's latest reading, not the date you are reading this.

“Пиксель Тулс: ИИ, SEO. Проекты & инструменты” (@pixeltools), 1,751 subscribers as measured 8 November 2026. Telegram Register, tgregister.com/channel/pixeltools.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.