AI Optimization
AI Content Optimization for SEO
Semantic analysis of Google's top 10, a content score that updates as you write, and AI-assisted writing, in the same platform as your audit and rank tracking.
Key features
What this module does, in practice.
Semantic analysis
The terms, entities and structure of Google's top 10 pages, compared with your text.
Content score
A score out of 100, recalculated as you write, showing what raises or lowers it.
Article writing
AI suggests topics based on your project's data and writes structured articles for you to review before publishing.
What AI changes in content optimization
Repeating a keyword a set number of times is no longer enough to rank. Search engines now rely on language models that take into account the context, nuance and intent behind a query.
AI content optimization means writing from data rather than gut feeling. With the Zerkado SEO platform, writers and consultants compare their text with the pages that already rank and see what is missing before they publish.
What an AI-assisted approach brings
- Less time spent on research and preparation
- More complete coverage of the topic
- Less risk of under-optimization or keyword stuffing
- Content that better matches search intent
How semantic analysis works
Semantic analysis is at the heart of content optimization. Google no longer looks only for exact keyword matches: it looks for related concepts, entities and vocabulary that show the author knows the subject.
Zerkado's analysis reads the pages ranking in Google's top 10 for your target keyword. It extracts the key terms and entities, then compares their heading structure and content length with your page.
| Traditional approach | AI-assisted semantic approach |
|---|---|
| One to three exact keywords | The entities and concepts related to the topic |
| Keyword density | Topic coverage and contextual relevance |
| Manual competitor review | Automatic analysis of Google's top 10 |
| Structure based on intuition | Structure based on the pages that rank |
The content score: a guide while you write
The content score is a rating out of 100. It measures how well your page covers the topic, matches search intent and follows best practices, compared with the pages that already rank. It is not a ranking prediction.
In the Zerkado editor, the score updates as you type. It combines several weighted factors, and the score panel shows the weight of each one.
What the score takes into account
- The presence of the semantic terms found in the top 10
- The heading structure (H1, H2, H3)
- How well the page matches the detected search intent
- Content length and number of subheadings, compared with competing pages
- The title tag and meta description
- The page's internal links, and any cannibalization with another page on the site
AI-assisted writing: beyond generation
Generating text in one click from a bare-bones prompt and using AI as a writing assistant are two different things. Raw generation often produces generic, sometimes inaccurate content that offers readers little.
Assisted writing keeps you in control. You set the angle, the tone and the main ideas. AI steps in when you ask: writing a missing section, expanding an existing page, suggesting titles and meta descriptions. Every suggestion is reviewed before it is applied, and earlier versions remain available.
What the Zerkado editor offers
Missing sections
AI writes a section on a theme that competing pages cover and yours doesn't yet.
Semantic terms to cover
The analysis lists the terms and entities that competing pages use and that your text doesn't cover yet.
Titles and meta descriptions
AI suggests several title tag and meta description variants, taking the page's current rankings into account.
FAQ
When a long page has no FAQ, the analysis flags it and AI can draft one for you to review before publishing.
Avoiding cannibalization and matching search intent
Producing a lot of content with AI carries a risk: cannibalization. Several pages on your site then target the same search intent and compete with each other in Google's results.
To avoid it, structure your internal linking and define clear topic groups. Before writing, check that no existing page already answers the target query. If one does, updating that page is often better than creating a new one.
Zerkado vs. Surfer SEO, Frase and Clearscope
Surfer SEO, Frase and Clearscope are well-regarded tools that specialize in content optimization. Zerkado takes a different approach: it builds content optimization into a full SEO platform. This comparison is based on the vendors' public information as of the time of writing (October 2026); their offers change, so check their websites.
| Criterion | Zerkado | Specialized tools (Surfer SEO, Frase, Clearscope) |
|---|---|---|
| Semantic analysis of the top 10 | Yes: terms, entities, headings, page length | Yes, it's the core of these tools |
| Content score | Updated as you write, in the editor | Yes, in their editor |
| AI writing | Articles, sections, titles and meta descriptions | Depends on the tool and plan |
| Publishing to the site | WordPress or PrestaShop | Depends on the tool and its integrations |
| Cannibalization | Detected from the site's rankings | Generally outside their scope |
| Technical audit and rank tracking | In the same platform | Generally in separate tools |
| Citations by AI engines | AI Visibility module (checked on your questions) | Depends on the tool |
| Price | Included from €79/month | Separate subscription, see each vendor's website |
Zerkado's advantage lies in its integration with the other modules. A standalone content tool evaluates the text; it may not see that a page has a technical issue holding back its rankings, or that another page on the site targets the same query. In Zerkado, that information sits in the same project.
GEO: optimizing for Google's AI Overviews
Google now shows AI-generated answers (AI Overviews) for many informational queries. Being cited in them has become a visibility issue. That is the purpose of GEO (Generative Engine Optimization): optimizing for generative search engines.
How to improve your chances of being cited
- Open each section with a direct, concise answer
- Back up your content with verifiable facts, figures and sources
- Use lists and tables for comparative information
- Show your expertise (E-E-A-T): a named author, cited sources, real experience
- Keep your content up to date
- Cover the topic thoroughly
- Use appropriate Schema.org markup (Article, FAQPage, Organization)
Content Copilot and GEO
Zerkado doesn't calculate a GEO score: no tool can reliably predict that a text will be cited in an AI Overview. Content Copilot helps you structure clear answers backed by factual data, and the AI Visibility module checks, on the questions you choose, whether conversational engines actually cite your site.
Measuring the impact of your content optimizations
Content optimization isn't an exact science; it's an iterative process. Once a page is published or updated, track its performance to validate your choices.
With the built-in rank tracking module, you follow your rankings check after check and compare positions before and after the optimization.
KPIs to watch after an optimization
- Changes in position for the main keyword
- New secondary keywords ranking (long tail)
- Organic traffic to the page
- Click-through rate (CTR) after revising the title and meta description
- Time on page, an indicator of perceived quality
AI to write, reliable measurements to check: that loop is what improves content over time. Zerkado brings both together in one tool.
Frequently asked questions
The questions we hear most often.
See also
Explore the other modules of the Zerkado platform.
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