Claude: New AI SEO Goals Update is Insane!

Claude just got a powerful upgrade that

lets it run your entire SEO operation on

autopilot and it doesn't stop until the

job is done. It's called the forward

slash goal command inside Claude code

and what it does is simple. You tell

Claude what you want and it keeps

working turn after turn relentlessly

until every single condition is met.

That means no prompting from you, no

checking in. And I'm going to show you

exactly how to use this for SEO today.

We're talking full site structures,

websites built in one go, 10 articles at

a time, internal links, meta tags,

schema markup, all of it done

autonomously with an AI agent in the

background while you're not even at your

computer. And I'll show you the exact

results I'm getting from my own websites

using AI SEO like this. There's one

thing you absolutely have to set up to

make this work and most people are

skipping it, too. So, I'll show you

exactly what it is step-by-step so you

can walk away today with Claude running

your SEO 24/7 around the clock. So,

today we're going to be looking at a

brand new update inside Claude, which is

the goal completion, right? And what

this means basically is like you can set

up a condition completion condition with

goal and Claude keeps working across

turns until the condition is met, right?

So, the forward slash goal command

basically sets up a completion condition

and Claude will keep working towards

that goal without you prompting it after

each step, right? And after each turn, a

small fast model basically checks

whether it's actually set up, right? If

it doesn't, Claude just keeps going

until it's completed, which is super

powerful, right? So, basically like you

can say, "Okay, keep going, keep working

autonomously until you complete this

task." You can also use loop, as well.

So, there's two options here. You can

use goal and you can use loop. Loop

continues when the previous turn

finishes and it stops when the

conditions are met and judged as

completed. A loop basically you You set

up a time interval lapse, and it stops

whenever you stop it or when Claude

decides it's done, right? There's two

different ways to make Claude way more

autonomous as a kind of AI super agent

using this process. So, let me show you

an example of how this works, and we're

going to be using this for AI SEO,

right? So, I'm going to use this to show

you how you could, for example, like

rank and build a website. So, we can

say, for example, forward slash goal,

build a complete SEO-optimized website

structure for the AI Profit Bot, and

then we can give it a really complex

prompt. We can say, for example, okay,

this site must include a homepage with

the AI Profit Bot details, a hero

section with the benefit bullet points,

social proof section, a single CTA. And

then we also need five core landing

pages, each with unique H1s, 300-word

introduction, H2 sections, and an FAQ.

Then we could also use a blog structure

with 20 article titles targeting

keywords like AI SEO tools, etc., a full

internal link map connecting all the

pages, schema markup suggestions for

homepage, landing pages, and blog posts,

and every page must have a unique meta

title under 60 characters, a meta

description under 155 characters, right?

And then we say, "Don't stop until every

page, every article outline, every meta

tag, every internal link has been

completed and documented, right?" So, we

can type in, "Make sure the website is

deployed locally as HTML, plus it's not

complete until the website is fully

ready." Right? And so, what this means

is you can make your AI agent way more

autonomous. It's just going to keep

working towards that goal and get it

done until it's completed, as you can

see right here. As you can see, that's

generating it now and thinking about the

task. And basically, you might say, "Why

is this so useful?" Every requirement is

verifiable, right? Claude literally

can't stop until every single output is

surfaced in the conversation. So, the

evaluator model checks each condition

after every turn. if the internal

linking map is missing, it keeps going,

right? If a meta description is over 155

characters, it's going to fix it. And

so, you can walk away and come back to a

full website architecture ready to hand

to a developer, drop straight into

WordPress or Netlify, whatever you want,

right? It becomes very autonomous as a

powerful AI agent. And so, this is a

really powerful way to to rank your

website. So, let me show you an example

of like websites that we use AI SEO for

that have been built with AI. So, let me

pull up some examples here on Google

Search Console. I'll show you some of

the results. So, you can see for

example, this website is growing

massively in trajectory and it's

improving all the time, right? Here's

another site that's growing massively in

traffic. This was basically at two

clicks a day, now it's at over 100

clicks a day. This one was at six clicks

a day, now it's at 69 clicks a day,

right? And here's another one. So, this

one was at what, like 20 clicks a day,

something like that. Now it's at 500

clicks a day using these sort processes.

And so, you can see here it says, "Okay,

I'm going to go off, start creating

this, go off and build it, etc." One

second. And now it's actually spawning

multiple websites working parallel on

all the HTML pages, all right? So, I can

just walk off, come back, it's still

working on the task, you know, just keep

going until it's done. Now, this is

turn-based. What that means essentially

is that it will submit a first draft. If

that draft doesn't meet the completion

criteria, which is judged by an

evaluator model, then the judge is like,

"No, no, that's not ready to go, mate,

right? You've got to go off and do that

again." And so, it just keeps going and

going until eventually it's done. That's

the biggest difference here and it's

really a huge difference in how you

operate AI agents. Bear in mind as well

like you've got the agent view with

Claude as well.

So, it's pretty powerful. Now, if you've

already submitted the task and then you

put {forward slash} goal after, it says

no goal set, right? So, you have to put

{forward slash} goal first and then the

prompt that you want to build like you

can see right here to to it working. You

could also for example, just take like

all of your keywords you want to rank.

Like we could paste all of those in and

say, "Okay, create the content based on

my criteria. Do not stop until that's

completed." And also, the cool thing

about this is like Claude agent itself,

Claude code, can spawn multiple agents

in parallel to build more content. So,

it's like you get a full team of agents.

You got the evaluator agent that's

checking if the job is done. You've got

the goal agent that's actually doing the

work. And then you've also got the sub

agents that have been spawned in

parallel to get this job done. Like it

is really crazy. The one thing you have

to be careful of is this is going to use

a lot of tokens. So, you have to be

careful about that. But it makes it so

powerful in terms of how it can be used.

You've also got auto mode which combines

with that, right? So, auto mode on its

own like approves tool calls, but

doesn't start new one, right? Claude

stops when it judges the work is done.

So, goal adds a separate evaluator. So,

you're combining the power of auto mode

inside Claude code with the power of

goal to make sure that job is done until

it's completed. That's the difference

here. So, for example, it's not Claude

auto mode won't just keep going on its

own like this if the job isn't done,

right? Whereas, for example, with goal

it will keep going over and over again

until the evaluator says, "Yeah, this is

ready to go." Some of the examples you

could run goal followed by the condition

you want satisfied. So, for example, you

could say, "Okay, {slash} goal all tests

in test all pass and the lint step is

clean, right?" To make sure it's done.

Now, that's like more of a technical

one. This is more like a simple version

that you can use that's actually useful

for people who are non-developers,

right? And you can see it's like taking

off the task at the bottom over here to

make sure it's actually getting done.

The other thing to note is if you run

another {slash} goal in the chat at the

same time, it will actually cancel the

existing goal. So, just be careful of

that. So, really you can have SEO

running 24/7 using this process. It's

not a dream anymore. Claude's goal

command does this, right? You tell it

what you want. It keeps going until it's

done, right? You don't need to prompt

every 5 minutes. You don't need to hire

a team of 10 people to do what AI can

one AI can do. And I call this the goal

SEO stack. This is a custom framework

that I recommend for using this stuff.

Especially if you're using it for SEO,

right? But you could use it for anything

in your business. So, the old way of

doing SEO was like hiring humans to

guess. The new way is like giving AI

target and just letting it run, right?

So, most people think SEO means writing

a blog post, hoping Google notices,

waiting 6 months, blah blah. That's the

old model, right? The new model with the

goal SEO stack is a completely different

paradigm because it's not about doing

more SEO work, it's about setting a

verifiable condition and letting the AI

loop until it's achieved. And here's how

it works. So, step number one is you

want to generate a verifiable target.

This is G, right? So, you don't just say

write me some SEO content, you say I

need 10 fully optimized articles, each

passing a readability score of 70, with

internal links, FAQs, and schema markup,

right? And goal doesn't stop until all

10 are done, right? That's the target

that Claude can verify. And that's what

makes it autonomous. Now, you've then

got the orchestrator section, right? So,

Claude doesn't just write once, it

checks its own work after every turn.

And a separate AI model, a fast

lightweight model, evaluates the

condition after each step. If it's not

done, Claude keeps going. If it's done,

it stops automatically. And you're not

involved in any of the loop. Before, you

would like have to orchestrate and

manage it yourself. Now, you're not even

involved, right? You've really got like

the evaluator model that's the CEO of

this whole process. And then, you can

also automate the proof, right? So, the

genius of goal is that Claude has to

prove the condition is met, right? So,

all 10 articles are written only works

if Claude satisfies the output. Keyword

then sees above 1.5%, for example, if

you were setting that as the target,

that only works if Claude runs a check

and shows you the results. So, you bake

proof into the condition, which makes it

verifiable and not vague, right? And

then, you can layer in your SEO SOPs,

right? So, the goal command is the

engine, but your SOP, aka your

step-by-step operating procedure for

creating content, is the fuel. Let me

show an example. So, this is my SOP for

creating content. It's got the keywords,

and then it's got the content outline,

then it's got the content itself, right?

And a quality control checklist. So,

what we could actually do here is we

could turn this whole SOP into a

goal-based process. So, I can paste that

into Claude, and I can say, "Okay,

create a goal-based prompt for this,

right? Based on that SOP that we gave

it." And it's okay, "Here's what you're

going to do. You're going to implement

all four phases, and don't stop until

every output is complete, right? The

keyword research, the content outline,

the content creation, the quality

control, etc., right?" And so, it has to

complete all four phases before it can

even think about submitting this. And

then, if it's not right, it will just

keep going until it's done, right? So,

it has its own kind of like quality

control process without a human in the

loop, which is pretty insane. Now, some

people want to say, "Okay, AI content

doesn't rank on Google." Honestly,

AI-assisted SEO content, optimized with

the right structure, internal links, and

internal intent matching, ranks all the

time, right? Loads of people in the

Alpha Profit Boardroom are SEOs, and

they're proving this right now. I've

shown you proof from my own websites,

too, like you can see. So, this process

actually works. Like, the belief that AI

content doesn't rank comes from 2022,

but it's 2026 now, right? Google ranks

helpful content. AI can produce helpful

content at scale. So, the game is

totally changed in terms of that. Corey

says, "What do you think of generative

engine optimization as priority approach

to SEO?" Honestly, I see them all under

the same umbrella, right? AEO, GEO, SEO,

it's all the same thing. It's how can

you rank inside AI, and how can you rank

inside Google? So, this same process I'm

showing you today, and all the processes

I talk about in my videos, actually work

for us, right? And you can see us

ranking on Google multiple times here,

right? You've got our Reddit post over

here, you got our website, you have some

of our content here as well. You have

another website over here, right? And so

we can rank inside Google. Now that same

method can rank inside Google AI search

engines as well, right? So you can see

us ranking here, and you can see us

ranking multiple times down here as

well, right? And so the same process

that you use for SEO works with GEO.

It's all the same thing, right? There's

no difference between them. The main

thing is the question you want to ask

yourself is not are you doing generative

engine optimization or SEO, it's are you

ranking, right? Are you getting traffic

from search engines? And you can see the

process that I'm showing you right now

is working. So however people want to

label it, you can, but the main thing is

you're going to focus on are you ranking

or not, not are you doing GEO or AEO or

whatever, right? Other people say I need

a big team to do SEO at scale, but

honestly the right belief here is like

one person with Claude, the goal

command, and a clear SOP can produce

this 10-person content team, right? With

one loop, one condition, 10 articles,

boom shakalaka, it's done, right? You

can see it building out the website

right here. Other people say I'm not

technical enough to use AI for SEO, but

if you can type a sentence, you can run

goal. There's no coding, there's no

setup, there's beyond typing a

condition. You write what you want and

Claude does the rest, as you can see

over here. Other people say SEO takes

months to see results. The right way is

like AI lets you produce in days what

used to take months, right? And you can

collapse like the production time to

almost zero if you do this, which means

you can rank for 10 times more keywords

in the same time window, right? So for

example, if we type in this keyword here

on Google, you can see that this content

that we produced 24 hours ago is ranking

first, right? This is another website

page we've created, ranked within 5 days

for this keyword. So it doesn't take a

long time to rank with SEO if you have

the right processes in place, which is

what I'm showing you today. Other people

say I can just use ChatGPT for this.

ChatGPT Codex does have goal, but

ChatGPT directly doesn't have a goal

command, right? So ChatGPT will stop

when you stop prompting. Claude goal

loops autonomously until the condition

is met. And that's a totally different

workflow, right? This is an autonomous

AI agent that's working 24/7 towards a

goal that will help you rank on Google,

right? So, super powerful stuff. So,

just to recap how it works. So, you type

your goal followed by your condition,

Claude starts working immediately. After

each turn, the fast AI checks if the

conditions are met. If they're not met,

Claude keeps going autonomously. If

they're met, it stops and shows you

everything it does, right? And you don't

have to do anything between steps two

and step five. That's the magic of this.

So, it saves a lot of time. Now, there's

also other workflows you can use. So,

there's not just {slash} goal, right?

You can use {slash} loop, which runs on

a timer and keeps going until you stop

it, right? You got {slash} goal, which

runs until a condition is met. So, it

stops automatically once done. You got

auto mode, which approves tool usage

with a single turn. So, you still prompt

each turn. And then you also have goal

and auto mode together, which is the

ultimate ultimate combo. You can see

I've got that running here, right? So,

there's no tool approvals, no manual

prompting, just pure autonomous

implementation. And for SEO work, really

the goal feature is the one you want,

right? So, the other thing about this to

know is like most SEO work is very

repetitive. You write a brief, you send

it to writer, you wait a week, you

review it, you send back edits, you wait

another three days, you publish, and you

repeat that 50 times. Very repetitive,

even if you're using AI, right? With

goal, you type your condition, you walk

away, you come back to 10 finished

optimized structured articles or

whatever you want. And that's the

difference between like SEO with AI in

2022 and SEO in 2026. It's the old way

versus the new way, right? And the

people who adopt this now will have an

insurmountable content advantage and

optimization advantage in 12 months.

Everyone else will still be writing

briefs and messing around with that

stuff. Now, we've got loads of prompts

for SEO on how to do this, as you can

see. So, we've got prompts for local

SEO, for e-comm, etc., for analytics and

reporting prompts as well, which is

super powerful. And a 30-day roadmap all

inside the AI profit border, right? So,

if you want to get this full framework

with the goal SEO stack, the 100

prompts, the full road map on how to

implement it, etc., you can get that

inside the AI Profit Boardroom. You just

go to the AI SEO automation section

inside the classroom here. I've added

the full section with all the notes as

you can see right here. But, that's

basically it. Now, just to recap here.

And, you can see that it's checking if

things are done, as you can see over

here. So, inside quotes, it's like good.

13 articles are done, seven are missing.

I'm writing them all directly here.

Right. So, just to recap on this stuff.

We've talked through about the goal SEO

stack. So, you want to generate a

condition, orchestrate the autonomous

loop, automate the proof, and then layer

in your SEO SOPs for doing this, right?

The key takeaways here is like goal is

the most powerful SEO tool right now. It

loops autonomously until your condition

is met, and it just keeps going until

it's done, right? And also, one thing to

remember is every SEO task that involves

repetitive checking, reviewing, and

iterating is a potential goal task,

right? So, if you find yourself checking

something manually more than once,

that's a forward slash goal. Build the

condition, set the loop, and then you

can come back when it's done. So, if you

want to go deeper on this stuff inside

the AI Profit Boardroom, you get the

full interactive version of this guide,

live walkthroughs, weekly AI SEO

updates, direct access to a community of

2,900 agency owners, the complete eight

agent SEO prompt pack. And now, you

might be wondering, "Okay, are people

getting results with this stuff?" You

can see that we actually have over 156

pages of testimonials from people

winning and learning and growing with

this stuff, right? Look at this one.

Arsh says, "My agent literally runs my

pizza shop." Right? Francisco says, "My

blind My mind was blown since I signed

up." Michelle says, "Outstanding."

Right? There's so many wins inside here.

So, if you want to get access to this,

you know where to go. Inside here as

well, you get an amazing community you

can ask questions to. Inside the

calendar, you can jump on weekly

coaching calls. Inside the classroom,

you get access to all of my best

trainings. We have a full AI SEO

automation section here. And inside the

calendar, you can jump on weekly

coaching course. Now, also if you want a

free one-to-one SEO strategy session

that shows you one-to-one how to grow

your website, how to get more traffic,

how to rank inside Google and AI search

engines, you can book that in at

goldie.agency, link in the comments and

description, and you'll get a free SEO

domination plan. So, you get a custom

tailored game plan to generate more

leads and sales from your website.

You'll discover the secrets of SEO link

building. You'll be able to ask our

world-class experts and about any

questions, problems, or challenges

you're facing. You'll learn the best

link building strategies for your

website and how to outrank your

competitors with link building. So,

that's available at goldie.agency. Let's

see what questions we've got here. So,

Brian says, "Codex Windows app gets

laggy. I use terminal for it now." Same

for me. I prefer to use terminal with

Cloud Code, honestly, unless it's a

massive project that I come back to

every day. Brian says, "I use AI around

10 hours every day." Wow, that's

amazing. That's the level that we're at.

That is insane. I agree with you there,

Brian, mate. Thank you. Cal says, "This

is nuts. AI evolution is hitting

critical mass. You helped me days ago

and things have improved exponentially

since then." I'm happy to help, so I

thank you so much and good for you, Cal,

for Sorry, Kai, for taking action there.

Well done. And if you ever want to stop

the task, just press control and see

inside the chat and then you can stop

the whole task.