#1 french SEO according to charming people I put all my brain in → https://xitter.cf/t.co/9U2dx8MTNJ (grows your revenue through Google & AI) EN / FR
Budapest
Joined January 2021
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chatseo.app
its internal linking playbook starts from your Search Console
xitter.cf/asaio87/status/2114404…
Internal linking will greatly help your SEO.
Here is how I do it with Claude (or manually):
1/ either download GSC export or use an MCP for it
2/ put that into claude
3/ make sure your website has an mcp (i use wordpress and i have a custom mcp plugin which lets claude make changes to the website)
there are mcp connectors for all sorts of blogging frameworks
4/ ask claude to automatically do the internal linking based on the queries that rank best (have great positions for each article)
this is a prompt I use:
I've attached my Google Search Console export (or: pull it from the GSC connector) for the last 3 months. My website is connected through the [site name] MCP.
1. For each article, find the queries where it ranks best (position 1–10, decent impressions). Those are its target anchors.
2. Go through every published post. Wherever the text naturally mentions another article's top query (or a close variant), turn that phrase into a link to that article.
3. Rules:
- Max 3–5 new internal links per post, spread through the body (no headings, intro sentence, or existing links)
- Never link a post to itself, and only link each target once per post
- Anchor text must read naturally. Don't rewrite sentences just to force a keyword in
- Prioritize sending links to pages ranking 4–15 (they gain the most)
4. Before changing anything, show me a table: source post → anchor text → target URL → target's query and position. Wait for my OK.
5. After I approve, make the edits through the MCP, then give me a changelog so I can revert if needed.
5/ leave the website alone for a few days
6/ repeat this every week and see your rankings go up
7/ do not forget to build backlinks and explore new content opportunities
thats pretty much it
this process can be done manually too
i am doing the same process on my websites and my customer websites
Léo just found why your AI agent API eats ~1 Go of RAM
If you stream sub-agents with the Vercel AI SDK, send this to your Claude now
One clone per batch instead of one per token
Thank me later
L'erreur qui bouffe la RAM de ton API si tu streames des sous-agents avec le Vercel AI SDK
readUIMessageStream clone tout le message accumulé à chaque chunk, sorties d'outils comprises
Un sous-agent qui scrape 500 Ko puis rédige 2 000 tokens, ça fait vite ~1 Go de clones
Le fix : fusionner les deltas par lots de 500 ms avec un pipeThrough avant le reducer
Et ne renvoyer au parent qu'une version légère du message tant que le run tourne
Un clone par lot au lieu d'un par token
Paul Vengeons retweeted
ChatGPT cites your site 77.6% of the time when a buyer names your brand
Give this post to your Claude and ask where you get skipped
And win the "best tool" answers before your competitors do 🏖️
xitter.cf/alexgroberman/status/2…
Fun fact:
When a buyer asks ChatGPT about your brand BY NAME, your website gets cited 77.6% of the time.
When a buyer asks "who is the best in this category," your site gets cited 2.2% of the time.
Here is how to close that 14x gap.
Oh, and if you want to see where your site stands across Google, ChatGPT, Claude and broader AI search, start here (it's free):
seo-stuff.com/free-audit
According to Foundation Marketing and AirOps's April 2026 study of 57.2 million AI citations across 50 brands in 7 B2B verticals, branded queries generate 14x more citations for brand-owned websites than unbranded discovery queries.
The brands that do appear in unbranded AI recommendations share a fairly consistent profile: deep expert content on their own site that establishes category authority, combined with editorial coverage from trusted industry publications that puts their brand name in front of the AI's retrieval system across multiple authoritative sources.
Basically, when a buyer asks AI about your brand by name, the AI searches specifically for your website and your content, so of course it finds you.
But then when a buyer asks "best CRM for mid-market companies" or "top cybersecurity platforms for healthcare," the AI is looking for the most authoritative, comprehensive answer it can assemble from every source in the category.
Every industry has a different set of sources that AI draws from for these unbranded queries.
The brands that close the 14x gap are the ones that show up across both their own site and the editorial sources AI trusts in their vertical.
That takes two things working together - both of which SEO Stuff (seo-stuff.com) has been helping customers with all year.
Expert content on your own website that demonstrates deep category authority: this is what gives AI platforms a reason to include your brand when it finds you.
And editorial backlinks + mentions (authority) from trusted publications in your vertical: this is what puts your brand name across multiple authoritative sources so the AI encounters your brand repeatedly when searching for the best answer to a category query.
Again, if you want to see how your brand performs on branded versus unbranded AI queries and where the 14x gap is in your category, start here (it's free):
seo-stuff.com/free-audit
The expert content is doing two things simultaneously.
First, it creates a comprehensive resource that AI can cite directly when it finds the brand during category searches: the more sub-questions your content answers, the more entry points AI has to discover and recommend your brand.
Second, it creates something that editorial publications want to cover and link to: original data, expert frameworks, and comprehensive buyer guides are what industry publications write about.
Every editorial placement where a trusted publication mentions your brand and links to your site creates another source the AI can encounter during unbranded category queries.
A brand that has been covered by 10 or 15 editorial publications in its vertical gives the AI multiple authoritative references to draw from.
Reddit alone accounts for 20.8% of all external AI citations, but editorial publications, review sites, and industry sources collectively represent a massive portion of the citation landscape that brands can actively build presence on through expert content and earned editorial coverage.
This is the system SEO Stuff (seo-stuff.com) was built around.
The done-for-you package:
seo-stuff.com/free-audit
Expert-attributed content backed by DR50+ backlinks: the content builds category authority on your site that AI cites directly, and the backlinks put your brand across the editorial sources AI draws from during unbranded discovery, closing the 14x gap
The content package:
seo-stuff.com/premium-conten…
60 pages of expert-attributed content covering every question buyers ask in your category: the content depth that gives AI a reason to cite your brand and gives editorial publications something worth covering
The authority building package:
seo-stuff.com/premium-backli…
Editorial placements on trusted publications that put your brand name across the authoritative sources AI searches during unbranded category queries, turning your brand into a recommendation for buyers who have never heard of you
And if you want to see where your site stands across Google, ChatGPT, Claude and broader AI search, start here (it's free):
seo-stuff.com/free-audit
Paul Vengeons retweeted
Zero product to build
Sign up at chatseo.app/affiliate
Share it with people who need SEO
30% of everything they pay, for life
xitter.cf/pakreddit/status/21138…
Paul Vengeons retweeted
For 10 months, some of our ads sent people straight into a wall
Tap our ad inside Instagram, try to sign up with Google, and Google refuses. Its in-app browser isn't allowed
I told my cofounders to treat it as a bug we'd had for 10 months, one where we couldn't even count who it hit
2 days later the first fix shipped. Anyone landing from an in-app browser now gets this screen first
Running ads on Instagram or Facebook? Sign up to your own product from inside the app. That's where your clicks land
If you're not making SEO pages with this template, what are you even doing? 9 steps to rank on Google and get Black Friday buyers' clicks this November
The template is "Black Friday [your category] deals", a search typed by people who already have their card out
1/ Fill the template with your category
-> "black friday software deals": 2,400 US searches last November, 90 in September
2/ Check the curve before you build
-> Google Trends, US, past 5 years: the spike comes back every November, and 2025's was the biggest
3/ Go one notch narrower than the big lists
-> "Black Friday [category] deals for [who]". On "black friday software deals", only 3 of the top 10 US titles hold the exact phrase
4/ Put the exact phrase in 4 places
-> Page title, URL, H1 and first sentence, so the buyer lands and thinks "I'm in the right place"
5/ Keep ONE url, forever
-> /black-friday, never /black-friday-2026. 4 of today's top 10 have no year in the URL and put it in the title
6/ Publish it this week, not on November 20
-> Google needs time to find and test a new page, and the peak only lasts a few days
7/ Link to it from your homepage and best pages
-> Internal links are how Google finds it fast and how much weight it gets
8/ Show the deal before the first scroll
-> Price, what's included, end date. People searching "deals" leave a page that hides the offer
9/ Never delete it after Cyber Monday
-> Swap the deal for a "notify me next year" signup. The URL keeps its links for next November
Prepared by SEO experts at ChatSEO, the AI agent for SEO and GEO
Paul Vengeons retweeted
😂😂😂😂
JUST IN: Brooklyn plumber ranks #1 on Google after telling customers he has no idea what SEO is, never wrote a blog post, & just put "emergency plumber" in his page title
Paul Vengeons retweeted
Google indexes what it trusts
chatseo.app shows what it kept, 7-day free trial
xitter.cf/seo_bint_ejamil/status…
Watched 56 minutes of Yahoo's CEO on its $5B search comeback so you don't have to
1/ Yahoo's "original sin" was giving search away to Google in June 2000
-> Search was treated as a cost center with no business model yet, while 92% of internet sessions started with a search. They outsourced the one door their users walked through
2/ Yahoo had no search engine of its own for 17 years, so they built Yahoo Scout
-> Outsourcing search to Microsoft left them "in a really vulnerable position" on one of their biggest revenue streams. Owning that asset again was "life-changing"
3/ Scout is not a large language model, it is their own data on top of a small one
-> 30 years of search history, publisher data, their knowledge graph and user data ground every answer, then a lightweight model writes it. At launch it was Anthropic's Haiku
4/ Real-time content is what the LLMs could not copy
-> Evergreen content got "photocopied" by the models. Yahoo's is mostly real-time, so in those categories their AI answers are unique. Fresh data and numbers only you own are the part no model has
5/ Their job is still to send publishers traffic
-> They stopped competing with publishers and partner with them instead. That partnership is also one of the data sources behind Scout
6/ They quit breaking news and went back to aggregation
-> Out went the White House correspondents and TechCrunch. In came content that helps people decide: fantasy analysts, stock market analysts. Now a top 3 news aggregator
7/ 75% of their 700M monthly users come straight to Yahoo
-> "We get SEO traffic", but direct visits are one of the highest shares on the internet, and about 75% of daily users are logged in. Search brings the first visit, the brand brings them back
8/ A new brand joins the internet's top tier once every 3 to 5 years
-> ChatGPT was the latest, TikTok and Snap before it. A big audience lets you improve a product and see it work, instead of "trying to light the wet log from scratch"
9/ New products bring new users, not just old ones
-> 40% of the people on their new college fantasy game were brand new to Yahoo, and brand love with Gen Z rose 31 points
10/ The deal is one of the fastest paybacks in Apollo's history
-> Ad tech losing hundreds of millions a year was shut down or sold, the native ads business went to Taboola for 25% of it, AOL and TechCrunch were sold. They are "playing with house money" now
The full conversation with @MollySOShea is in the post below
xitter.cf/MollySOShea/status/211…
NEW: In 2021, Apollo acquired a massive internet business for ~$5B.
Just 5 years later, it's become *one of the fastest-returning deals in the firm's history.*
700M monthly users. Billions in revenue. And an enormous distribution advantage that would be nearly impossible to replicate today.
Apollo's Reed Rayman recruited Jim Lanzone (@jlanzone) to lead the turnaround.
The company? @Yahoo.
I sat down with CEO Jim Lanzone, one of the internet industry's most accomplished turnaround executives, to go inside @apolloglobal's PE M&A playbook for Yahoo, the economics of the acquisition, & why this may be one of the most underrated assets in tech.
The numbers:
› ~$5B acquisition
› 700M monthly users, including 100M+ each across Yahoo Finance & Sports
› 75% direct traffic, with ~75% of daily users logged in
› Hundreds of millions in annual ad-tech losses addressed through restructuring
› Major divestitures including AOL, TechCrunch & Edgecast
› One of Apollo's fastest-returning deals, with Jim saying they're now "playing with house money"
› Newer search companies valued at 6X Yahoo despite having a fraction of its users, revenue & profitability
But the most interesting part of this deal is the operator.
Before Yahoo, Jim helped drive a 50X stock increase at Ask Jeeves, grew CBS Interactive from 70M to 220M users, and led Tinder.
And unlike the traditional PE playbook of aggressive cost extraction, PE micromanagement, Apollo backed an experienced product executive to restructure the business, rebuild its leadership, & reinvest in growth.
Now Yahoo is moving from turnaround to comeback, with an entirely rebuilt product ecosystem, its own AI search engine through Yahoo Scout, and a potential path back to the public markets.
We get into what it's really like operating under Apollo, the leadership decisions behind the turnaround, the value of internet distribution at scale, and why some startups with less than 0.1% of Yahoo's users command higher valuations.
𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒
(00:00) Jim Lanzone, CEO of Yahoo
(01:33) How Apollo bought Yahoo for $4.8B
(04:16) Taking over a company in the middle of COVID
(07:22) Is private equity really the villain?
(12:42) The mistake that handed Google the internet
(16:09) Where Yahoo's 700M monthly users come from
(17:07) Why Yahoo sold AOL & TechCrunch
(21:21) "You can't skip levels of the video game"
(27:58) Why people still trust Yahoo in the AI era
(30:26) How Yahoo Scout competes with ChatGPT & Perplexity
(33:48) Saying no to the AI gold rush?
(37:31) From turnaround to comeback
(39:42) One of the fastest paybacks in Apollo history
(42:50) The biggest mistake companies make at scale
(44:21) Silicon Valley startups are now worth more than Yahoo with 0.1% of its users
(46:25) Why Yahoo is ready for the next crash
(48:57) Barry Diller, Tinder & the tweet that predicted Yahoo
(54:36) Is Yahoo finally back?
or just use chatseo.app
it checks where ChatGPT, Gemini and Perplexity cite you
xitter.cf/hridoyreh/status/21143…
📂 AI SEO
┃
┣ 📂 Search Visibility
┃ ┣ 📂 ChatGPT
┃ ┣ 📂 Google AI Mode / Overviews
┃ ┣ 📂 Claude
┃ ┣ 📂 Gemini
┃ ┗ 📂 Perplexity
┃
┣ 📂 Brand Visibility
┃ ┣ 📂 Brand Mentions
┃ ┣ 📂 3rd Party Mentions
┃ ┣ 📂 Reddit Mentions
┃ ┣ 📂 Community Mentions
┃ ┗ 📂 Brand Sentiment
┃
┣ 📂 Content Optimization
┃ ┣ 📂 Direct Answers
┃ ┣ 📂 Topical Authority
┃ ┣ 📂 Semantic SEO
┃ ┣ 📂 Content Structure
┃ ┣ 📂 Content Freshness
┃ ┗ 📂 Information Gain
┃
┣ 📂 Technical AI SEO
┃ ┣ 📂 Crawlability
┃ ┣ 📂 Indexability
┃ ┣ 📂 Structured Data
┃ ┣ 📂 Schema Markup
┃ ┗ 📂 Machine Readability
┃
┣ 📂 Authority / Trust
┃ ┣ 📂 EEAT
┃ ┣ 📂 Expert Contributions
┃ ┣ 📂 Original Research
┃ ┣ 📂 Data Studies
┃ ┣ 📂 Trusted Sources
┃ ┗ 📂 Digital PR
┃
┣ 📂 Off-page AI SEO
┃ ┣ 📂 Link Building
┃ ┣ 📂 Community Building
┃ ┣ 📂 Review Platforms
┃ ┣ 📂 Directory Listings
┃ ┣ 📂 Unlinked Mentions
┃ ┗ 📂 Brand Building
┃
┣ 📂 Keyword Research
┃ ┣ 📂 Conversational Queries
┃ ┣ 📂 Prompt Research
┃ ┣ 📂 Long Tail Questions
┃ ┣ 📂 Query Fan Out
┃ ┗ 📂 Entity Research
┃
┣ 📂 Content Strategy
┃ ┣ 📂 Content Hubs
┃ ┣ 📂 Comparison Pages
┃ ┣ 📂 Alternative Pages
┃ ┣ 📂 Statistics Pages
┃ ┗ 📂 Best Tools Pages
┃
┣ 📂 Analytics
┃ ┣ 📂 AI Visibility Tracking
┃ ┣ 📂 Brand Mention Tracking
┃ ┣ 📂 Citation Tracking
┃ ┗ 📂 Referral Traffic
┃
┣ 📂 SaaS AI SEO
┃ ┣ 📂 Brand Visibility
┃ ┣ 📂 Comparison Pages
┃ ┣ 📂 Alternative Pages
┃ ┣ 📂 Integration Pages
┃ ┣ 📂 Free Tools
┃ ┗ 📂 Customer Proof
┃
┗ 📂 Growth
┣ 📂 Brand Discovery
┣ 📂 Organic Traffic
┣ 📂 AI Referral Traffic
┣ 📂 Lead Generation
┣ 📂 Customer Acquisition
┣ 📂 Revenue Attribution
┗ 📂 Scaling
Paul Vengeons retweeted
ChatGPT doesn't rank you, it names you or it doesn't
Give this guide to your Claude tonight
And start showing up in the answers 🏖️
xitter.cf/NicholasDulait/status/…
Want Google and ChatGPT to name your business when someone asks for "the best X near me"?
I wrote up a free guide that takes your Google Business Profile from ignored to cited by AI.
(It's the 5 checks I'd run on any local business before touching anything else.)
What's inside:
• See why Google now answers local searches without your site
• Copy one name, address and hours block everywhere
• Fix the old listings that make AI skip you
• Take the category the top 3 on the map use
• List every service in your customers' words
• Dodge the name mistake that gets profiles suspended
• Get reviews that name the service, the city and the result
• Stop one bad phrase from becoming your AI summary
• Report fake reviews instead of answering them
• Answer the questions Google already shows under your search
• Load your page in 2 seconds, not 10
• Switch on the contact buttons almost nobody turns on
• Fill the forgotten field that proves your seniority
• Check the red pin a competitor may have moved
• Drop the 6 habits that waste your time
• Check the 13 suspension triggers first
• Copy a ready prompt for each check
1. Follow
2. RT + bookmark
3. Comment "MAPS"
Paul Vengeons retweeted
chatseo.app
the strategy and the pages, built on your own Search Console
xitter.cf/natmiletic/status/2113…
This article packs more than most paid SEO courses
Give it to your Claude and let it do the work
Thank me later
xitter.cf/ChadSE0/status/2114661…
30 clicks a day in April, 200+ a day in September
Nicho got this e-com founder to share his exact playbook
Give it to your Claude and steal it 🏖️
xitter.cf/NicholasDulait/status/…
Paul Vengeons retweeted
If you run a small business, this is the fastest way to rank on Google
You don't need more content, you need your buyer's exact words in 4 places on one page
On "emergency plumber brooklyn", all 3 top organic results have plumber and Brooklyn in the title, and #2 is the search word for word
1/ Pick a search where people want to buy, call or book, never a "how to"
2/ Put those exact words at the start of your page title
3/ Then in the URL and in the H1
4/ Then in the first sentence, and write a page that answers what that buyer needs right now
Your business already has the trust, Google just can't tell what you sell
Paul Vengeons retweeted
Watched 47 minutes of SaaStr's AEO playbook so you don't have to
1/ They test their AI visibility logged out, never with their own AI
-> An agent ran 50 cold prompts in ChatGPT, Gemini and others, signed out, with questions where SaaStr should be the answer. Your own assistant is biased toward you, its yes proves nothing
2/ AI assistants named SaaStr in 46 of 50 cold answers, and still disagreed with each other
-> Mixed years: some quoted a past SaaStr Annual, some the 2027 site, so attendance and audience numbers clashed. Fix: one set of numbers on every site, then republish
3/ Agents read facts, humans read opinions
-> Rewrite your claims as things anyone can check. Agents don't care about your images or your design
4/ Testimonials barely count, a number an AI can verify does
-> They had an agent count which sponsor logos came back from 2025 to 2026, against similar events. Their renewal rate came out higher, so they published it as a fact
5/ Hidden pricing gets you marked down
-> When an AI compares two newsletter tools, it says one charges a fee and the other one's price is a mystery. Put your prices on a public page
6/ Publish some pages for agents more than for humans
-> Plain facts, numbers and comparisons, the content an agent can repeat without guessing
7/ Brands still win
-> "Agents are attracted to brands", they read a brand as a proxy for quality, exactly like humans do
8/ Ask 10 third-party agents every week what they'd pick in your category
-> For someone like you, a bigger company, a smaller one, with your integrations. Attack every answer where you lose, protect every answer where you win
9/ Agents are ruthless with vendors
-> Their own agents told them to move a whole activity to Resend. They moved 100% of it, not to HubSpot, not to Salesforce. That's the war you have to win
10/ First-party data booked an inbound lead in 10 minutes
-> The agent checks their own records first (Base44's CEO and leadership had attended SaaStr), then the company's news, then writes a personal pricing page and a booking link
The full episode is in the post below
xitter.cf/jasonlk/status/2114167…
New!! The Agent-Led Growth Playbook | The Agents #017
An inbound booked in 10 minutes. A 46 of 50 AEO score.
First-party data beats every signal tool.
saastr.com/the-agent-led-gro…
Opus 5.5 can handle all your SEO
It will bring you traffic without you having to lift a finger
But if you feed it actual consultant-level strategies, it will bring you clients
Personally, I prefer option 2
Anyway, hand this guide over to your Claude
And come back to see me once you’re making $$$ every single day thanks to SEO/GEO
✌️
Paul Vengeons retweeted
Claude + 21 skills just dropped the price of a full SEO audit to one question
One technical audit used to cost my clients about $1,700 👇
1/ Finds why your clicks dropped
Reads your Search Console live
Striking-distance pages, declining pages, hidden-intent queries
2/ Ranks keywords by money, not volume
Live volume x difficulty x business potential
Skips the big keywords that won't convert
3/ Watches your 5 closest competitors
Week over week, the pages they ship and you don't
New entrants flagged the day they show up
4/ Checks if ChatGPT names you
ChatGPT, Perplexity, Claude, Gemini, AI Overviews
Where you're cited, and who gets cited instead
5/ Writes the internal link plan
Finds the orphan pages
15 rows to copy, with the exact anchor text
6/ Fixes "crawled, not indexed"
Sorts the URLs that need a content fix from the ones to redirect
At scale, not page by page
7/ Rewrites the titles nobody clicks
High impressions, low CTR
3 title variants per page, character counts included
1. Follow
2. RT + bookmark
3. Comment "SKILLS"