Dear @HDFC_Bank , contrary to popular belief, most NRIs don’t dress like this in their day to day life.
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Krinal Mehta
10K posts
Krinal Mehta
@krinal
The rank-and-click era is ending. I write about what replaces it. | Director of SEO @bluehost @yoast @hostgator | AEO + Vector based growth
Waterloo, Ontario Katılım Temmuz 2009
3K Takip Edilen3.9K Takipçiler
Payment infrastructure for agents: Masterstroke
Not surprised where this comes from!
Stripe@stripe
Today, we’re launching the @link wallet for agents. It lets you securely empower agents to spend on your behalf. Your payment credentials are never exposed and you approve every purchase. link.com/agents
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@suganthan how do you rank on a competitive keyword?
who said anything about competitive keyword
we invent an entity and amplify
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For those of us stuck in outlook (for reasons outside your individual control) , here comes the sun!
Satya Nadella@satyanadella
Agent Mode is here in Outlook! Copilot can now help run your inbox and calendar, triaging emails, rescheduling meetings, and helping you stay on top of what matters most.
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YouTube
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Big news: Ahrefs just massively increased API limits (at no extra cost). 🥳
As Ahrefs grows in this AI era, we're opening up more data to power your marketing.
Increased API limits have been one of the top requests over the past few months, so I'm excited to be sharing this news.
Changes depend on your account level, but as an example, Standard plans now get 2.67x more credits and up to 10x more rows per request.
Over the next few weeks I'm going to be sharing some of the unique tools and workflows Ahrefs powers for my own work.
If you have any cool use cases of your own, I would love to hear those as well. 🙌
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A wave of sadness in GEO land 🙂
Gagan Ghotra@gaganghotra_
And it's gone! Google removed GEO Partner Manager job role page 😄
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I'm giving away the Claude Code skills we use to manage $300k/mo in ad spend at ColdIQ.
4X ROAS on $1M+ spent.
Ivan, our head of growth, built them off 300+ hours running ad campaigns for our clients. They run Google, Meta, and LinkedIn ads from the terminal in plain English:
→ bulk edits across platforms
→ custom audiences from CRM lists
→ creative fatigue detection before CTR dips
→ bid adjustments at scale
→ performance audits across periods
Reply "ads" and I'll send the full repo. Must be following.
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@JHTScherck you can tell by the design that they're generated with Claude
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Seeing hyper-niche B2B exact match domains popping up in AI search that (I am guessing) are intended to get LLM visibility (vs drive traffic via trad search).
I'm Thinking low effort, AI generated microsites are going to be a gray hat aspect of AEO moving forward.
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Wrote the full framework in my first Search Engine Land piece — published yesterday.
17 years of enterprise SEO in one article.
If you’ve ever had a great strategy die in a slide deck, this one’s for you.
→ searchengineland.com/buid-enterpris…
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In 2026 this matters even more.
85% of sources LLMs cite are third-party sites.
You can’t control what AI says about your brand alone. You need PR, affiliates, brand, legal, product — all aligned.
Cross-functional alignment isn’t a leadership style anymore. It’s survival.
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I pitched a 6-month SEO project at FreshBooks.
Leadership created a multimillion dollar business unit instead.
Here’s what happened 🧵
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You don't need to do some weird relevance engineering or token optimisation #SEO these AI systems going to do heavy lifting of finding query relevant content on your pages.
"We trained a text extraction "Highlights" model to dynamically select only the most relevant tokens from a webpage, for a given query. Only 500 tokens of highlights are needed to match the RAG performance of a full 10K token webpage."
Exa@ExaAILabs
Exa now reduces input tokens for web agents by 96%. We trained a text extraction "Highlights" model to dynamically select only the most relevant tokens from a webpage, for a given query. Only 500 tokens of highlights are needed to match the RAG performance of a full 10K token webpage. We find Highlights to be particularly useful for frontier models like GPT 5.5, where content density enables longer horizon tasks by preventing context bloat. You can use it today by using the "highlights" content type in our API!
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Man, Rippling's AEO program is very aggressive, yet VERY effective.
They're successfully getting AI Overviews to recommend rippling via comparison pages.
AIOs consistently say "[Competitor] is good for [niche use-case]. Rippling is good for everything else:
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@OpenAI Glad it’s not, such a waste of tokens of it were. You could google it for what like 1/100th of energy?
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Krinal Mehta retweetledi
I can see a version of this playing out for enterprise SEO tools.
No one wants to be locked in workflows they don’t use.
Give them the outputs and get out of their way.
DataForSEO has a headstart because their model was primarily based on API, can they/will they evolve fast?
GREG ISENBERG@gregisenberg
There’s $1T up for grabs for agent-first startups and this window is WIDE open. Probably 10,000+ niches. How it plays out: 1. Every SaaS company follows salesforce and goes headless within 18 months 2. a new category of "agent-native" startups emerges that treat salesforce, HubSpot, workday etc as dumb backends. the startup IS the agent. the SaaS is just the database. 3. the entire consulting/services industry around enterprise SaaS gets compressed into software. the agent replaces the implementation team. 4. outcome-based pricing becomes default. nobody pays per seat when the "seat" is an agent making 10,000 API calls a minute. you pay when revenue hits your account. 5. the winning founders are ex-operators who understand a vertical workflow cold. the code is the easy part. knowing that a property manager spends 14 hours a week on lease renewals? that's the insight worth $100M. 6. distribution becomes the moat. when anyone can wire agents to APIs, the company with the audience and the brand wins. media + agents is the new SaaS. There’s a rush to incubate live/short form shows. 7. Silicon Valley goes all influencer. Roy lee gets this. Pat Walls gets this. Sam Parr gets this. 8. the first $1B agent-native company in each vertical will look nothing like the SaaS it replaced. smaller team, higher margins, no implementation cost, no churn from bad UX because there is no UX. the fastest path to wealth right now: find an industry that still runs on dashboards, phone calls, and spreadsheets. build the agent-native version. charge per outcome. own the workflow end-to-end. someone reading this right now is going to build a $100M company off this exact shift. tell me about it on the @startupideaspod when you do. Im rooting for you. Less reading, less bookmarking, more building. the last wave rewarded people who built pretty interfaces on top of ugly data. I think this wave rewards people who build smart agents on top of exposed APIs. Or who just build the APIs themselves Here we go
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