Content Strategy
My Two-Tool Workflow for Semantically Optimised Content
The exact workflow I use for entity-rich content: competitor entity extraction in NeuronWriter, drafting in Claude with a semantic SEO prompt, then closing the term gaps.

There are a lot of AI SEO tools now. I use two, and the value is mostly in how they combine rather than in either one alone.
Before the tools, the honest framing: AI visibility depends on your content and on your marketing — what you do for links and mentions. Tools help with the first. They do nothing for the second, and no tool will.
The stack
NeuronWriter — entity coverage
Tells you which entities and terms the ranking pages actually cover. $23/month, or about $19 paid annually.
Surfer SEO is the better-known equivalent at around $99/month. It is more polished; NeuronWriter's results are genuinely good and the price difference is real.
Claude — drafting
I prefer it to ChatGPT for long-form content specifically — the output quality is noticeably better.
Both have free tiers. I use the paid version heavily enough to hit limits, which reset after a few hours.
Step 1: Extract the entities
Create a project, add your site, set country and language, then add a query. For a salon client of mine I used "microblading Grapevine," region set to Texas. It scans and analyses the competitors.
What you get out
- Entities for H1, H2 and H3 — the concepts that belong in your heading structure
- Basic entities — the mandatory terms
- Extended entities — the broader coverage layer
- A target score — mine was 81+, matching what the strong competitors achieved
This is your coverage specification. It is not a keyword list; it is a map of what the topic actually contains.
Step 2: Draft with a real prompt
Copy the entities into Claude. Then the prompt does the heavy lifting. Mine is long and deliberate:
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01
Assign the role
"You are an expert semantic SEO content author, trained and calibrated on Koray's framework." Koray Tuğberk GÜBÜR's framework covers Google's information retrieval concepts, NLP, topical authority, contextual vectors and entity optimisation — worth looking up if it is unfamiliar.
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02
State the goal, and state what it is not
"Your goal is not to write an SEO article. Your goal is to create a page that demonstrates complete topical authority and satisfies every possible search intent around the topic." That distinction matters — I am asking for page content, not an article.
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03
Give the context and objectives
The website, the focus service, the target region. Then: cover the topic completely, build topical authority, avoid content dilution, cover every important entity with attributes and relationships, build contextual bridges, satisfy informational, commercial, navigational and transactional intent.
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04
Specify the technique
Entity-rich writing. Attribute-value relationships. Lexical diversity. Information gain. Natural co-occurrence. The key idea underneath: writing the same thing ten times is repetition; writing the same subject from ten different angles is semantic coverage.
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05
Specify what not to do
No keyword stuffing. No repeated sentences. No filler. No thin content. No generic marketing copy. And critically — do not sacrifice readability chasing keyword inclusion.
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06
Give it the entities explicitly
These in the H1, these in the H2s, these throughout the body, and roughly how often — so they land naturally rather than stuffed.
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07
Add a verification step
"Before returning the content, silently verify that every important search intent discovered and every required entity has been covered. If anything is missing, redo it." This is the highest-value line in the whole prompt. Without it the model delivers immediately and misses things.
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08
Constrain the output
Title, meta description, slug. And: "Write only the finished content. Do not explain your reasoning or describe your process."
The effort goes into the prompt so the model can spend its effort on the content.
Step 3: Close the term gaps
Paste the draft back into NeuronWriter. The content score appears immediately — mine came in at 72, against a target of 81+.
Now work the colour-coded term list:
Red
Over-optimised — used too many times. Feed these back with: "These terms have been over-optimised. Balance them and do not exceed the required number of instances."
Orange
Used more than ideal. Same treatment, less aggressive.
Not used
Missing entirely. Feed these back with: "Try using these terms as well, including some from the extended list."
Regenerate, paste back, re-score. Repeat until the score clears your target and the reds are resolved. Then set your metadata and publish.
Frequently asked questions
Is NeuronWriter or Surfer SEO better?
Surfer is more polished and better supported at roughly $99/month. NeuronWriter delivers genuinely good results at about $23. If budget is a factor, NeuronWriter is the sensible choice — this is from my own client work, not a comparison chart.
Which AI writes better content for SEO?
I prefer Claude for long-form, and the difference is noticeable on anything over a thousand words. ChatGPT is fine and widely used. The model matters far less than the prompt and the editing that follows it.
What is a content score and should I chase it?
It measures how well your draft covers the entities the top-ranking pages cover. Useful as a target, not as a goal in itself — a page can score 90 and still be unreadable. Hit the score, then read it as a human before publishing.
Can I skip the entity tool and just prompt well?
You can, and you will cover less. The model does not know which entities the currently-ranking pages cover for your specific query in your specific region. That is exactly the gap the tool fills.
Will this workflow alone get me cited in AI Overviews?
No. On-site content matters enormously and it is not sufficient. Your links and your mentions matter just as much, and no tool in this workflow produces either. Content quality makes you eligible; brand signals are a large part of what decides whether you actually get cited.
What this achieves, and what it does not
You end up with content covering a topic comprehensively at the entity level — genuinely semantically optimised rather than keyword-matched. That is a real advantage and most competing pages will not have it.
But the boundary needs stating plainly: on-site content is necessary and not sufficient. Use the workflow, get the content right, then invest on the off-site side too.
Tags
- ai seo tools
- neuronwriter
- semantic seo
- entity optimization
- content workflow

Written by Naveed Ganatra
SEO Consultant · Karachi, Pakistan
Google-certified SEO consultant with 10+ years building topical authority for logistics, healthcare, legal and e-commerce brands. I publish free SEO training on YouTube.


