tweetindex
PT

Marie Haynes

@Marie_Haynes · Ottawa, Ontario · joined 08 Nov 2010

I like learning about Google & AI. 🤖Antigravity 🦾Workspace CLI 📙NotebookLM 🚀 OKF --- AI & SEO News: https://t.co/zdw5sWdbKq

103 307Followers
2 025Following
49 576Posts total
64.9KViews on collected posts

Posts recentes

A good weekend prompt in whatever LLM tool you work in: "Look through our conversations this week to find what topics I've been most interested in. Then find podcast episodes on Spotify or Youtube for me to listen to and make this into a webpage with links to the episodes." 1.6K views · 6 likes · 0 reposts · 2 replies Open on X →
This story popped up on my feed reader. I just opened up public access to it, so if you want a feed of all of the interesting things happening in AI, check it out. I added some checks across GitHub for interesting Repos. It also scours the web for fascinating AI research and
3.1K views · 14 likes · 4 reposts · 2 replies Open on X →
This looks like something worth playing with. It turns a new Chrome tab into a dashboard for agents. The agents can then perform actions on sites with WebMCP. The sites become sub-agents that your AI can interact with. It's an experimental project created by Google's 5.9K views · 43 likes · 2 reposts · 4 replies Open on X →
Here are 10 ways in which I might use Gemini managed agents for SEO. I wrote in the Marie's Tips section (Search Bar Pro) on Google's new release for Gemini Managed agents. It gives you a Linux Sandbox which runs code in an Antigravity Harness. There are so many possibilities h
3.2K views · 42 likes · 2 reposts · 1 replies Open on X →
@Marie_Haynes The sites I saw dropping on September 2 were all programmatic templates. If 100 pages offer 0 information gain beyond basic LLM output, rankings evaporate. Search models do not need a named update to penalize pure semantic redundancy. 162 views · 0 likes · 0 reposts · 0 replies Open on X →
@Marie_Haynes The Gemini deep learning theory and the spam update theory are completely different remediation stories. One needs months of content quality signals. The other needs cleanup before Google re-crawls. Which one you're solving for matters a lot right now. 164 views · 1 likes · 0 reposts · 0 replies Open on X →
@Marie_Haynes Good to hear you are seeing this too. Some massive drops. 814 views · 2 likes · 0 reposts · 1 replies Open on X →
Yes, I see this as well. Looks like there was an unannounced, but significant change in Google's algorithms in early September. I thought it was Sep 2. Could be the 3rd like Glenn notes. Have seen a few sites with devastating traffic drops. I had wondered if this was due to
16.9K views · 54 likes · 7 reposts · 9 replies Open on X →
A huge heads-up: I held off on sharing about this yesterday, but now there is overwhelming evidence. There was some unconfirmed update that Google pushed out in early September (around 9/3 into 9/4) that hammered some websites. I've had a number of companies reach out to me about
28.7K views · 93 likes · 16 reposts · 15 replies Open on X →
I wanted to learn how to make an MCP server, so I used Antigravity to turn my Algo Update list into a tool that agents can use. Here's how I did it! https://t.co/9ds1IGaliH Plug it in to your LLM of choice and analyze your site's traffic. https://t.co/yh2IiUVWsX
4.3K views · 64 likes · 7 reposts · 8 replies Open on X →

Em comparação com contas do mesmo porte

10 posts dos últimos 90 dias, ao lado da faixa de 100K–1M seguidores. aparece para muita gente, mas poucos desses espectadores reagem.

Mediana de visualizações3 161esta conta6 463mediana para 100K–1M
Alcance, %3.06%esta conta1.71%mediana para 100K–1M
Engajamento, %0.55%esta conta0.98%mediana para 100K–1M
MétricaEsta contaMediana para 100K–1MProporção
Mediana de visualizações por post3 1616 4630.49×
Alcance (visualizações ÷ seguidores)3.06%1.71%1.79×
Taxa de engajamento0.55%0.98%0.56×

Outras contas desta faixa →   Comparar com outra conta →   Como estas referências são construídas →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

4.3K11 Sep
28.7K12 Sep
16.9K
814
164
16213 Sep
3.2K18 Sep
5.9K
3.1K
1.6K19 Sep

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.85%11 Sep
0.43%12 Sep
0.41%
0.37%
0.61%
0.00%13 Sep
1.39%18 Sep
0.85%
0.65%
0.50%19 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.98%.

What the audience does

Likes55.3%319 in total
Reposts6.6%38 in total
Replies7.3%42 in total
Quotes0.2%1 in total
Bookmarks30.7%177 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

14 Sep

Daily snapshots since 14 Sep 2026; the dashed line is the starting count.

Contas semelhantes