Most marketers spend half a day staring at a blank page, juggling SEO tools, briefs and rewrites, just to get one half-decent landing page out.
If that is you, keep reading.
This walkthrough is for founders, marketers and content teams who want SEO content that actually ranks and sounds like their brand, without drowning in tools or handover chaos. You will see how to turn what used to be a four hour process into a 10 minute workflow using AI, SEO data and custom GPTs, from keyword research to landing page to blog post to social content.
No magic, just a smarter setup and a repeatable system. Learning about custom GPT for content automation helps optimize your workflow.
Watch the video: Watch Me Turn 4 Hours of Marketing Into 10 Minutes: 24x Faster Workflow Using AI & Custom GPTs
How can AI keyword research replace hours inside SEO tools?
Traditional keyword research goes like this: log into your SEO platform, type a seed keyword, stare at thousands of rows, then spend ages deciding what to actually write about. If you enjoy colour-coded tables, great. Most writers do not. They just want “tell me the right keyword and what this page should say”.
Here is the better way:
- Use a custom GPT that connects via API to your SEO platform, so it pulls real search data, not guesses
- Give it 5 basic parameters: search engine, country, currency, your seed keyword and content type, for example:
- Search engine: google.com
- Country: United States
- Currency: USD
- Keyword: “bitcoin loans”
- Page type: commercial landing page
- Let the bot fetch:
- Monthly search volume
- CPC
- Competition level
- Competitor pages
The result: you get a shortlist of keyword suggestions with metrics plus a clear recommendation like “Bitcoin loans” as the primary keyword for your landing page. No scrolling through “monstrosity of data”, no manual export, no guesswork.
This works because the GPT is not hallucinating, it is pulling numbers directly from your SEO platform’s API. You keep the accuracy of an SEO consultant, but the writer only sees the bit they care about.
How do you turn SEO keywords into a landing page that sounds like your brand?
Keywords are useless if the page reads like a generic brochure. Writers need brand voice, product details and messaging baked in. That is where a second custom GPT comes in, trained on your brand.
In the example, the client is Mezo, a crypto loan company that offers bitcoin-backed loans. The custom GPT, “Messo Marketer”, has been fed with:
- Product details like:
- Meso USD, their own crypto stablecoin
- 1% APR on loans
- How the borrowing process works
- Tone of voice, benefits, FAQs, product pages and blog posts
Then the prompt is very simple:
“Read the information from before and write a landing page about bitcoin loans for Messo.”
What you get back:
- A clear headline and subheadline, for example:
- “Borrow against your bitcoin, keep your bitcoin, get liquidity”
- Copy that mentions real product features: Meso USD, 1% APR, how to secure a loan
- Sections that map to what a real user wants to know: how it works, benefits, risk, next steps
- Internal references like “read the blog” that link to the client’s actual content
So you move from a blank Google Doc to a full draft in under a minute that already feels like your client, not like a random crypto lender.
Writers still need to review, tighten, and check compliance, especially in finance and crypto. But they are editing something that is 80% there, not starting from zero.
How do you repurpose a landing page into a blog post with a different tone?
One landing page is not enough. You also need thought leadership pieces, deep dives and top‑of‑funnel content. The smart move is to repurpose what you have, rather than brief a new piece from scratch every time.
For Messo, the team has two writers:
- Joey: punchy, “crypto bro”, short and sharp
- Vaish: more academic, structured, loves conceptual language
The workflow:
- Use the first GPT to create the commercial landing page around “bitcoin loans”.
- Pass that landing page into a second GPT tuned on Vaish’s writing style, called “Bash Vault”.
- Prompt something like:
“Rewrite the landing page as a blog post by Vaish.”
The output shifts from conversion-focused copy into a longer, more reflective blog post. You see phrases like:
- “the legacy trap”
- “traditional liquidity”
- clearer explanations of how bitcoin-backed loans differ from bank loans
- more context around the crypto lending space and risk framing
The structure changes too:
- Longer paragraphs
- Concept-led subheadings
- Less “buy now”, more “understand this trend”
So you go from one page to a second asset that targets different keywords and a different stage of awareness, without rebriefing the writer or recreating all the arguments.
As a bonus, some AI detectors will flag this as low‑AI content, even if it is fully AI‑generated, because the style is less templated. I would not build a compliance strategy on content detectors but it shows why strong brand voices matter.
How do you go from long-form content to social posts in seconds?
Once you have:
- A commercial landing page
- A long-form blog post in a distinct tone of voice
You can squeeze more value out of the same ideas. That is where short-form content like tweets or LinkedIn posts comes in.
Workflow:
- Feed the blog post into your GPT.
- Use a prompt such as:
“Read the blog post above and produce an X post (tweet) about it.”
- Let the GPT:
- Pull out a strong hook, for example: “Still selling your bitcoin to pay bills?”
- Summarise the core idea, like “borrow against bitcoin instead of selling it”
- Add a call to action, such as “Read the full blog on Messo’s site”
From the same source content, you can generate:
- A Twitter thread that breaks down the benefits of bitcoin loans
- A LinkedIn post pitching the downside of traditional liquidity
- A short intro for a newsletter section
The key is: you are not asking AI to invent new ideas. You are asking it to rephrase and reformat what already exists and is aligned with your product and SEO strategy.
How can writers and SEOs work together without drowning in data?
Most teams hit friction at the handover point:
- SEO sends a massive spreadsheet with keywords and metrics.
- Writers ignore half of it, or misunderstand what “search intent” means.
- Deadlines slip because no one is sure which keyword to prioritise.
A custom GPT, connected to SEO data and trained on your client, sits nicely in the middle:
- SEO picks the seed keyword and checks the data is sound.
- The GPT turns this into plain-English guidance:
- Primary keyword: “bitcoin loans”
- Secondary keywords to mention
- Suggested SEO title and meta description
- Page type and angle
- The writer gets a draft ready to edit, along with meta tags and internal link ideas.
This avoids the “creative people hate numbers” problem. Writers work with copy and messaging, SEOs work with data in the background, and the AI acts as translator between both worlds.
Quick wins
- Connect a custom GPT to your SEO platform’s API so you can pull keyword volume, CPC and competition data directly into a chat.
- Create one brand-trained GPT per client with product docs, blog posts and style notes so every draft already sounds like them.
- Standardise your prompts: decide the 2 or 3 prompts you will always use for landing pages, blog posts and social snippets.
- Always start from one strong asset, like a landing page, then rewrite it into a blog post and short-form posts instead of briefing each one separately.
- Add a review step where a human editor checks compliance, accuracy and tone, especially for finance, crypto or legal content.
Ready to stop spending four hours for what you could do in ten minutes? Book a free strategy call and I will show you how to set up AI workflows and custom GPTs for your own business or clients:
https://calendly.com/victoria_olsina/45min
Frequently Asked Questions
How do I connect a custom GPT to SEO data?
You need access to an SEO tool with an API, in my example I use KeywordsEverywhere which is most affordable one – and if you subscribe to the newsletter, you get free access to the bot , plus someone who can set up the connection. Feed the GPT a structured prompt that includes search engine, country, currency, seed keyword and page type. The model then calls the API, gets metrics like search volume and CPC, and summarises them for you. This lets you run keyword research chats that use actual SEO data instead of AI guesses.
Can this workflow work for non‑crypto businesses?
Yes, the process is the same whether you are selling crypto loans, SaaS or local services. Step one: connect to SEO data and pick a solid keyword that matches what you sell. Step two: train a GPT on your brand materials so landing pages and blog posts sound like you, not like generic AI copy. Step three: repurpose those assets into social posts that push users back to your site.
Do I still need human writers if I use AI and custom GPTs?
You absolutely do. AI is great for first drafts, structure and repurposing, but humans are better at nuance, storytelling and knowing what will actually convince your audience. Use writers to review AI drafts, add missing insight, check facts and keep everything compliant with your industry rules. That mix gives you the speed of AI with the judgement of a human editor.
How do I stop AI content sounding the same as everyone else?
Feed the GPT with your material: previous blog posts, landing pages, email campaigns, founder interviews and pitch decks. The more specific and opinionated your source content, the less generic the output. For clients like Messo, that means mentioning things like their own stablecoin, 1% APR and specific benefits, plus using phrases their writers love, for example “legacy trap” or “traditional liquidity”.
Will this help my SEO rankings straight away?
Better workflow does not guarantee page‑one rankings, but it makes it much easier to produce content that has a chance of ranking. Because you are basing every page on real keyword research, search intent and competitor analysis, your pages are aligned with what people are actually searching. Over time, consistent publishing of targeted landing pages and blog posts improves your chances of higher rankings and more qualified traffic.
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