You've created a page: ten second-level headings, all sounding the same — “Prices,” “Service Prices,” “Cost of Work,” “Price List,” “Rates,” “Tariffs”... The model can't tell where one semantic block ends and another begins. It only sees repetitive signals. It ignores the page.

In this article — why repetitive H2 headings hurt citation, what structure the model looks for, and how to properly build headings for AI-powered search.

What the Model Sees in H2 Headings

H2 headings are the page's navigation system. The model uses them to determine which semantic blocks exist on the page and where to find answers to specific questions. If H2s are identical or uninformative, the model can't locate the needed fragment.

According to research in language model evaluation, AI systems use headings as markers for information retrieval. The clearer the marker, the higher the chance the fragment gets cited. Repetitive H2s create “noise” for the model — it doesn't know which identical block to choose.

The model looks for three elements in H2s: uniqueness (each H2 marks its own semantic block); functionality (the H2 tells what's inside: definition, mechanics, criterion, example, conclusion); hierarchy (H2s should logically follow each other). Identical H2s violate all three conditions. A professional website audit for search engines can help identify such issues.

Why Repetitive H2s Are “Noise” for the Model

Reason 1. The model can't determine section boundaries. When H2s repeat, the model doesn't understand where one section ends and another begins. This reduces information extraction accuracy.

Reason 2. The model can't tell which section is more important. If H2s are identical, the model can't assess block priority. The page looks like a “flat” structure where all sections are equal, even though they aren't.

Reason 3. The model loses context. Each H2 should signal what type of content follows. “Price” gives one context, “How We Work” gives another. Ten “Prices” give ten identical contexts. The model can't use this information to answer.

Effective geo-optimization of a website requires unique and functional H2 headings.

Example: Poor H2 Structure

A page on “Dental Services.” H2s: “Prices,” “Treatment Prices,” “Service Cost,” “Price List,” “Rates for Appointments,” “Charges for Procedures,” “Implant Prices,” “Prosthetics Prices,” “Cleaning Prices,” “Whitening Prices.”

The model sees ten H2s, nine of which say the same thing — “price.” It can't extract structure. Where do prices end and, say, process description begin? Where's the comparison? Where are guarantees? The model doesn't know. It sees a wall of “prices” and leaves.

The page won't be cited because the model can't extract a structured answer.

How to Properly Structure H2 Headings

Rule 1. Each H2 is a unique semantic block. Don't repeat meaning. If a “Prices” block exists, don't add “Service Prices,” “Price List,” or “Cost.” Combine everything into one section, “Prices and Rates.”

Rule 2. An H2 should answer “What is this section about?” “How We Work” is about process. “Work Examples” is about cases. “Guarantees” is about terms. The heading should be clear to the model without reading the text below.

Rule 3. Use different types of H2s. A good page has H2s of various types: definition, mechanics, criteria, examples, conclusions. This gives the model a complete picture. Example: “What is GEO?” (definition), “How Does GEO Work?” (mechanics), “Key Criteria for Choosing a Contractor” (criteria), “Example of GEO Optimization” (example), “Conclusions” (conclusion).

Rule 4. Logical sequence. H2s should go from general to specific. First definition, then mechanics, then criteria, then examples, then conclusions. Don't jump around.

Rule 5. Optimal number of H2s. 5–7 per page. Fewer — the page is poor in semantic blocks. More — overloaded. Ten identical — a disaster. If you need ten H2s, you have ten different meanings. Find a unique name for each. Quality content creation helps structure headings properly.

How to Fix a Page with Repetitive H2s

Step 1. Group repetitive H2s. If you have “Prices,” “Service Prices,” “Cost,” “Price List” — combine into one section, “Prices and Service Costs.” Inside, use H3 subheadings or lists.

Step 2. Rename H2s to reflect the section's essence. “More Details” → “How We Work.” “Important to Know” → “Guarantees and Terms.” “Additional Information” → “Frequently Asked Questions.”

Step 3. Check that H2s form a logical chain. Read only the H2s. Formulate: “This page talks about... (first), then explains... (second), then shows... (third), then concludes... (last).” If the H2s don't form a coherent story — restructure.

Step 4. Check with webmaster tools. Some tools show how the model sees the page structure. If H2s appear as “noise,” there's a problem. Fix it.

Read about new search trends in the article new search trends.

Conclusion

AI systems don't like pages with ten identical H2s because they create “noise.” The model can't determine section boundaries, understand block priority, or extract structured information. A page with repetitive H2s won't be cited.

Proper H2 structure is navigation for the model. Each H2 should be unique, functional, and logically arranged. Use different heading types: definition, mechanics, criteria, examples, conclusions. The optimal number is 5–7 H2s per page. If there are more, combine semantic blocks. Check your pages. If you see “Prices,” “Service Prices,” “Cost of Work” — combine and rename. The model will thank you with citations. To comprehensively improve site visibility, use the service comprehensive website promotion.

Frequently Asked Questions

Can I use identical H2s if they're on different pages?
Yes. “Prices” on the “Services” page and “Prices” on the “Contacts” page are fine. The model evaluates each page separately. Identical H2s are only harmful within a single page.

What if the topic really requires 10 identical H2s (e.g., 10 different prices)?
Don't use H2s to list 10 prices. Use one H2, “Prices,” and inside — a table or bulleted list. H2s are for semantic blocks, not list items.

Can the model “understand” repetitive H2s if the content under them differs?
No, it can't. The model doesn't read all the text under each H2 to figure out how they differ. It scans headings first. If they're identical, the model may assume the content is also identical and skip analysis. The model doesn't “fill in” meaning — it works with what it sees.

How many H2s are optimal for a long article?
For an article of 5,000–8,000 characters — 5–7 H2s. If the article exceeds 10,000 characters, you can add 8–10 H2s. But each must be unique. If you can't come up with 10 unique H2s, you probably don't have 10 semantic blocks. Combine them.