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AgoraSense AI – AI PR & AI-маркетинг

@agorasenseai

On this record: Growth · Engagement · Reactions · Posts · Polls · Citations · Cite this entry

73subscribers

+3 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003449885517
TypeChannel
Username@agorasenseai
CreatedBetween 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live15 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/agorasenseai

Growth

707371.56 August 2026 — 70 subscribers7 August 2026 — 71 subscribers9 August 2026 — 71 subscribers15 August 2026 — 73 subscribers6 August 202615 August 2026
4 measurements spanning 9 days, net +3. 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 70–73 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 02:3873+2
9 Aug 2026, 23:1671no change
7 Aug 2026, 02:0471+1
6 Aug 2026, 06:0670first reading

Engagement

12 posts held, back to 27 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
154.5%
avg views ÷ 73 subscribers
Avg views / post
113
4 posts measured
Reaction rate
4.52%
reactions ÷ views · ER floor
Posts in window
4
of 12 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 3 of 4 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 August 2026
Posts held12 (27 May 20265 August 2026)
Views total451
Reactions total19
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 23:16 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

64 reactions across 10 posts, in 6 distinct kinds. The most used accounts for 32.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍2132.8%
🔥2132.8%
1726.6%
🤝34.69%
👏11.56%
😱11.56%

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 10 of the 12 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 64reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 12 most recent posts we hold, published 27 May 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, 15:38 UTC20 views5 reactionsread 9 August 2026
Forwarded from @marketing_da_aiPhoto

⚡️ TIME начал размещать рекламу для AI-агентов Журнал TIME первым среди издателей запустил рекламный формат, рассчитанный специально на AI-агентов. Теперь объявления размещаются в текстовых версиях материалов издания в формате FAQ: блок содержит информацию и сообщения бренда, а также маркировку рекламы. Новый продукт появился после того, как TIME перевёл страницы сайта в markdown — упрощённый формат без изображений

👍2🔥2😱1

29 Jul 2026, 10:05 UTC28 views6 reactionsread 9 August 2026
Forwarded from @ParfunAPhoto

СМИ все равно власть, даже в эпоху ИИ Испанцы из Good Rebels разобрали 40 000 ответов ChatGPT, Gemini и Perplexity с целью понять откуда нейросети берут мнение о бренде. Выяснили что редакционный контент "традиционных" СМИ становится дифференцирующим фактором для повышения узнаваемости бренда в таких моделях, как ChatGPT, Gemini или Perplexity, Упоминания в медиа поднимают присутствие бренда в ответах модели в 1,78

🔥31👍1👏1

27 Jul 2026, 09:30 UTC372 views8 reactionsread 9 August 2026
Photo

Как подружить PR-контент с нейросетями 👋 📰 Компания может годами публиковаться в СМИ, вести блог, выпускать исследования и комментарии экспертов — и при этом почти не появляться в ответах ChatGPT, Алисы или Perplexity. А если и появляется, то в роли, которая давно не соответствует реальному позиционированию бизнеса. Причина в том, что большой объем контента не означает хорошую AI-видимость. Алгоритмам важно понять,

3👍3🔥2

24 Jul 2026, 13:57 UTC31 viewsread 9 August 2026
Forwarded from @PR_UsPoll

Сколько % источников в ответах ИИ о брендах - это сайты самих брендов?

  1. 40%46%
  2. 25%15%
  3. 10%25%
  4. 1%15%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

8 Jul 2026, 06:35 UTC44 views5 reactionsread 9 August 2026
Photo

Что происходит с AI-поиском в мире? Новое исследование показало почти полную монополизацию рынка Пока многие компании продолжают говорить об «оптимизации под все нейросети», мировой рынок AI-поиска становится все менее разнообразным. Компания Previsible проанализировала 6,77 млн переходов из больших языковых моделей (LLM) за последние 19 месяцев. Исследование охватывает 166 сайтов из разных отраслей и позволяет уви

2🔥2👍1

1 Jul 2026, 07:55 UTC44 views5 reactionsread 9 August 2026
Photo

Вокруг AI Search до сих пор идет много споров: нужно ли брендам заниматься AEO и GEO или достаточно классического SEO? Похоже, Яндекс постепенно дает на этот вопрос свой ответ. Недавно в справке для вебмастеров Яндекс впервые подробно описал, какие факторы влияют не только на ранжирование в поиске, но и на попадание сайтов в ответы Алисы AI. Среди них — экспертность, полезность, оригинальность и содержательность ко

👍2🔥21

30 Jun 2026, 09:31 UTC23 views5 reactionsread 9 August 2026
Photo

Google продолжает менять правила игры в поиске. Компания постепенно внедряет AI Overviews — ИИ-сводки прямо в поисковой выдаче, которые уже доступны более чем в 120 странах мира, а по последним данным Google — более чем в 200 странах и территориях и на более чем 40 языках. Впервые AI Overviews были представлены на конференции Google I/O в мае 2024 года и сначала стали доступны пользователям в США. С тех пор Google п

2🔥2👍1

25 Jun 2026, 15:16 UTC21 views7 reactionsread 9 August 2026
Forwarded from @b2bjournalPhoto

Искусственный интеллект меняет не только поиск информации, но и подходы к PR 🤖 На PR Tech Forum 2026 эксперты обсудили, как AI-поиск и answer engines влияют на коммуникации брендов, почему AI-visibility становится новой метрикой для PR и что сегодня важно учитывать компаниям, чтобы оставаться заметными в новой цифровой среде. Собрали основные тезисы обсуждения в карточках 👆 📰 Полный обзор панельной дискуссии читай

👍32🔥2

23 Jun 2026, 11:34 UTC40 views7 reactionsread 9 August 2026
Forwarded from @ishkarovskayaPhoto

Алгоритмы начинают вознаграждать не самый громкий контент, а самый полезный😊 Прочитала исследование Semrush о том, какие публикации в LinkedIn чаще всего цитируют ChatGPT, Perplexity и Google AI. Оказалось, что ИИ чаще цитирует не вирусные посты с сотнями комментариев, а публикации, которые понятно объясняют тему, дают практическую ценность и написаны людьми, регулярно и последовательно работающими в своей экспертн

🔥32👍2

17 Jun 2026, 12:21 UTC33 views8 reactionsread 9 August 2026
Forwarded from @b2bjournalPhoto

🤖 Репутация против хайпа: доверие в коммуникациях AI-native брендов На PR Tech Forum 2026 эксперты обсудили, почему для AI-компаний сегодня недостаточно просто говорить об инновациях. На первый план выходят прозрачность, честность и способность подтверждать свои заявления реальными результатами. В новом материале 👇 💙 что такое AI-washing и почему он подрывает доверие к рынку; 💙 почему AI-компаниям важно открыто го

👍3🔥32

2 Jun 2026, 06:36 UTC50 views8 reactionsread 9 August 2026
Photo

Какие сигналы нейросети считывают как показатель надежности бренда 🔍 Мы проанализировали сотни ответов ChatGPT, Gemini, Perplexity и других AI-систем и обнаружили любопытную закономерность: 🤖 нейросети оценивают надежность бренда совсем не так, как это привык делать рынок. Для AI имеют значение не громкие заявления и статусность компании, а другие сигналы 👇 💙 понятные сценарии применения продукта и реальные кейсы

👍3🤝32

Showing the 12 most recent of 12 posts we hold for @agorasenseai. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

24 Jul 2026, 13:57 UTCAnonymous Quiz68 voters

Сколько % источников в ответах ИИ о брендах - это сайты самих брендов?

  1. 40%46%
  2. 25%15%
  3. 10%25%
  4. 1%15%

Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 12 most recent posts we hold, published 27 May 2026 to 5 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 237,552 of 1,480,944entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 3 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.

Names

Channels on the register whose handles appear in this channel's posts.

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 15 August 2026 — this entry's latest reading, not the date you are reading this.

“AgoraSense AI – AI PR & AI-маркетинг” (@agorasenseai), 73 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/agorasenseai.

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.