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I wrote a little something on how to fix some of the (direct / none) traffic in #googleanalytics with the help of #gtm. omt.tips/recover-direct-traf… And I'd love to thank a few people for their help 1/2
Arnout Hellemans retweeted
Must follow Anthropic accounts.
We've got an amazing group of people on here who care deeply about our products and want to hear from you. If you ever have feedback, tag them:
Claude Code
@addyosmani
@lydiahallie
@_catwu
@bcherny
@sidbid
@jarredsumner
@adocomplete
@delba_oliveira
@connerphillippi
@dickson_tsai
@dmwlff
Chat/Cowork
@felixrieseberg
@TheAmolAvasare
@RobertJBye
@sean_t_strong
Duet
@ahuja_karan
@gabemulley
Tag
@noahzweben
@ghodss
API/Platform
@RLanceMartin
@cjav_dev
@katelyn_lesse
@_hi_mc
@brada
General/Community
@edwinarbus
@sammcallister
@_sholtodouglas
(+ myself)
Arnout Hellemans retweeted
We've got an amazing group of people on here who care deeply about our products and want to hear from you. If you ever have feedback, tag them:
Claude Code
@addyosmani
@lydiahallie
@_catwu
@bcherny
@sidbid
@jarredsumner
@adocomplete
@delba_oliveira
@connerphillippi
@dickson_tsai
@dmwlff
Chat/Cowork
@felixrieseberg
@TheAmolAvasare
@RobertJBye
@sean_t_strong
Duet
@ahuja_karan
@gabemulley
Tag
@noahzweben
@ghodss
API/Platform
@RLanceMartin
@cjav_dev
@katelyn_lesse
@_hi_mc
@brada
General/Community
@edwinarbus
@sammcallister
@_sholtodouglas
(+ myself)
Arnout Hellemans retweeted
We just published some new research on a specific type of Google poisoning where they ignore the majority of the words in your query. This has been going on since early 2026, though it did spike in the last month alongside the rest of the poisoning.
We also updated our original post with data about page 2 and the poisoning problem is significantly worse than originally reported.
cc @rustybrick @lilyraynyc @glenngabe @brodieseo @CyrusShepard
Arnout Hellemans retweeted
here are 3 things app.dejan.ai can do for you today:
1. Track how often ChatGPT, Gemini and Claude mention your brand for your topics
2. Compare your share of AI mentions with your competitors' over time
3. See which of your pages AI answers cite, and which competitor pages they cite
4. Rewrite a page so AI grounding systems prefer to quote it over competitor pages
5. Find the topics where competitors get named and you do not
6. Run your own prompts through AI search and pull out every cited domain and page
7. Find queries AI links to your brand that get zero organic traffic
8. Optimize an unpublished draft against live competitors before you publish it
9. See which types of claims win or lose rank in AI answers
10. Check how one edit affects all the other queries that point at the same page
11. Log a page change and compare traffic before and after it
12. Rank queries by opportunity size from your Search Console data
13. Find keyword cannibalization and the clicks it costs you
14. See what each AI says about your brand, word for word
15. Get a per-platform read of how each AI positions your brand
16. Score how relevant AI thinks your brand is to each query, with statistical confidence
17. Find which brands AI links to your topics, and which topics it links to your brand
18. Find which rivals sit at the centre of your topic space
19. List everything an AI knows about your brand from memory
20. Compare answers from live web search with answers from the model's memory
21. Optimize many query and page pairs in one batch
22. Measure how many rank places each part of a cited competitor page is worth
23. See every source an AI pulled for a query, and which ones it cited
24. See which lines of a page are relevant to up to 10 queries
25. Find fluff and padding in your copy and rewrite it as substance
26. Find domains that link to your competitors but not to you
27. Get an AI strategic gap analysis that combines all your data
28. Schedule prompt sets to run daily, weekly or monthly
29. Run tracking on a schedule, with location targeting
30. See which entities get your site or brand cited
31. Map each query to the page that earns the most clicks for it
32. Build your own site's CTR curve by position
33. Find high-potential pages with no entity assigned yet
34. List every known page with its Search Console traffic and AI citations
35. View a 16-month Search Console dashboard of devices, countries, top queries and top pages
36. Optimize a page against itself, with no competitor pages
37. Compare your brand head to head with one competitor
38. Open a brand page that compares a competitor with you over time
39. Classify queries by intent, funnel stage or your own entities
40. Fact-check how faithfully an AI answer used its sources
41. See the topics Google, OpenAI and Anthropic each find in a page
42. Classify cited pages by type, such as Reddit thread, product page or Wikipedia
43. View your backlink profile, anchors and referring domains
44. Look up the backlinks of any domain or URL, one at a time or in bulk
45. Discover topics a model nearly linked to your site
46. Generate synthetic AI reviews of your brand and measure their sentiment
47. Keep optimizer edits on-brand with your editorial guidelines
48. Generate citation prompts in bulk from your project data
49. Run live Google SERP checks for a query
50. Pick a date range and compare it with the period just before
51. Mark launches, migrations and campaigns on the visibility chart
52. Download a print-ready HTML report
53. Export CSVs, or a ZIP of slide-ready data with charts
54. Share projects with clients or team members, with role-based access
55. Read your data from Claude or other tools through the MCP server
56. Check if a name is in Google's Knowledge Graph
57. Find natural places for a new link on a page
58. Convert long AI prompts into short search queries and back
59. Compress a page into five summaries, from a paragraph down to one word
60. Tune image captions to match what the image shows
61. Use your own OpenAI, Anthropic and Google API keys
62. Try it free on your first project with one baseline run, no card needed
63. Try the read-only public demo project at app.dejan.ai/property/43
Oh... did I say 3 things? Sorry 63 things.
Have a nice weekend everyone 🫡
Arnout Hellemans retweeted
Still deciding whether to publish that post?
Stop waiting. Someone needs to read what you're afraid to send.
Building their own search engine is my take from this. But that's quite the job. Interesting times!
We've been reviewing around 1.5 billion server requests, so I thought I'd share a few observations.
There's been some interesting discussion recently about how much traffic AI assistants actually send to websites.
Worth checking out the research and perspectives from @Marie_Haynes , Kevin Indig, The SEO Works, @randfish and Michael King. Different datasets, methodologies and opinions, all worth reading.
Firstly, AI referral traffic remains small compared with Google organic. Our findings broadly agree with the other studies. However, server logs reveal another layer of activity that traditional analytics doesn't capture.
Some interesting changes we've observed since mid-August:
✳️ ChatGPT live reads: Verified ChatGPT-User requests have fallen by approximately 80%.
✳️ OpenAI crawling: Verified OAI-SearchBot requests have more than doubled over the same period.
✳️ Claude Code: We recorded approximately 26x growth in distinct sources accessing websites between June and September, predominantly technical documentation.
The change in ChatGPT's behaviour is particularly interesting. It's consistent with a shift towards crawling and indexing content in advance, rather than fetching pages during individual conversations.
Of course, an AI agent fetching a page doesn't mean someone saw a recommendation, let alone made a purchase. But that doesn't make the activity irrelevant either.
It highlights why referral traffic, agent activity and indexing need to be considered separately.
Interested to hear whether others analysing server logs are seeing similar patterns.
Arnout Hellemans retweeted
As a CMO, saying AI is a distraction is reckless as marketer. AI isnt impacting traffic, it's massively impacting pipeline and revenue. 68% of B2B buyers conduct research on invisible channels (AI), they enter the buying cycle more informed, condensing sales processes & timelines
Arnout Hellemans retweeted
i don't think people realize how big this is…
A US lab just released a 40B open-weight coding model leading its class on three major coding benchmarks.
125+ tok/s on a MacBook. 150+ on RTX Spark.
no per-token fees. no usage limits.
your laptop is now the endpoint.
🤝 Paid partnership
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Arnout Hellemans retweeted
Agent Org Chart No. 05. My own.
You talk to one bot: a Chief of Staff, routing to 5 heads and a Team Doctor.
Departments never message you directly.
Every send, post or delete waits for your OK.
Who is the front door to your agents?
Yup, must admit it is a game changer. cc @sitebulb
This year MCPs have been an absolute game changer - I've been using @sitebulb a LOT recently and if like me you weren't sure what it could do - here is where I started - support.sitebulb.com/en/arti…
Arnout Hellemans retweeted
putting the final touches and QA on a major @SERP_recon update that should go live this week. Can't wait to show off the new features - including some FREE TOOLS!
Arnout Hellemans retweeted
The agent lacked the funds to pay gas fees for deploying smart contracts on the Sepolia test network, so it wrote a script that searched for accounts with public seed phrases and checked their balances. The script found 362 addresses, and one held enough funds to deploy the contract.
The agent's chain of thought admitted, "Private key public, funds could be stolen anytime...We can deploy!" The agent then rationalized using the funds and completed the task, but its final response did not disclose how it had obtained them.
#AI #ArtificialIntelligence #Crypto #Cybersecurity #OpenAI #AIAgents #InfoSec #Cryptocurrency #TechNews #AISafety #AINews #CyberAttack #AIAlignment
Arnout Hellemans retweeted
Have you RankMath SEO running on your website,
This was not simply a software vulnerability that someone could exploit. Attackers' malicious code was included in some plugin installation packages distributed through Rank Math's own delivery system.
Rank Math says it removed the affected packages and released a clean version, 3.0.124. However, updating the plugin alone does not necessarily remove the infection.
Time to clean up your site.
Arnout Hellemans retweeted
If your marketing only cares about potential buyers, it’s broken.
Some of the people creating the most valuable evidence around your brand will never become customers.
I wrote about audience-centricity, and why “out of market” still isn’t far enough:
jonoalderson.com/conjecture/…
An absolute gem of a guide on how to analyse browsers network traffic I would encourage and serious technical #seo should read by @thetafferboy
markwilliamscook.substack.co…
Arnout Hellemans retweeted
Medium was cited 16 times and never named in Semrush’s ghost-citations study with Kevin Indig/Growth Memo.
A source link and a brand mention are different outcomes.
My new post explains the distinction, with an audit worksheet:
fernandoangulo.com/blog/ghos…
ALT In Semrush’s June 9, 2026 ghost-citations study with Kevin Indig and Growth Memo, medium.com was cited 16 times and Medium was named in zero answers. These are study-reported domain/platform counts, not author attribution or reader recall.
Arnout Hellemans retweeted
OpenAI just told federal judges there may soon be no scientific way to tell a real video from a fake. So the guy your doorbell cam caught stealing your packages can stand up in court and say "that's AI." Only 15 of 931 federal judges surveyed have had someone try that.
That number is going to go up fast. Two law professors, Bobby Chesney and Danielle Citron, saw this coming back in 2018 and called it the liar's dividend. Once everybody knows a perfect fake is possible, real footage stops ending the argument, and a jury that hears "could be AI" suddenly has something to chew on.
And detection was always going to lose this fight. The first image generators that actually worked, GANs back in 2014, got good by training a forger against a detective over and over until the detective couldn't catch it anymore. So any detector somebody publishes basically becomes practice for the next model. Meta's product director told the same panel that regular people already can't tell recent AI video from the real thing, and making it costs next to nothing.
Now think about what the judges have spent three years drafting. Under a draft rule called 901(c), if you want to call an exhibit fake, you first have to bring some evidence it was fabricated, and then the other side has to prove it's real. Both of those steps assume somebody can actually run a test, which is the exact thing OpenAI just told them might never exist.
So courts are going to lean on people again, kind of like before anyone owned a camera. It'll come down to who shot the video and whether they're willing to swear to it.
The tech industry's best idea is to stamp footage the second it's recorded so anything without a stamp looks suspicious. Every photo from a Pixel 10's camera app already gets a cryptographic signature baked in, and Google's camera lead said the whole point is getting people suspicious of pictures that show up without one. But OpenAI's lawyer also told the judges that every company runs its own system and nothing reads all of them. A stamp only helps if the camera that shot the video added one in the first place, and your doorbell probably didn't.
Until that changes, every real video of somebody doing something awful comes with a free alibi.
