ChatGPT answers, unedited

If you’re trying to reverse-engineer the SERP—common headings, typical length, recurring topics, and what competitors fail to cover—I’d shortlist these:

My picks

1. Surfer — best all-around for your exact workflow.
Surfer analyzes top-ranking competitors and exposes word count, headings, paragraphs, terms, topics and questions. You can select the competitors yourself, which is useful when the SERP contains irrelevant formats. docs.surferseo.com

Its Audit functionality also breaks competitor word counts into body text, headings, paragraphs, etc., rather than giving you only a single page-length number. docs.surferseo.com

Surfer

2. MarketMuse — best if “topic gaps” is the strategic priority.
MarketMuse is particularly strong for identifying topic coverage, gaps and must-have topics across the SERP, rather than simply counting keywords. Its competitive analysis can visualize how related topics are distributed across ranking pages. www.marketmuse.com

MarketMuse

3. Clearscope — best for a clean editorial workflow.
Its Competitors view shows ranking pages with word counts, content grades and positions, while the term map helps you see how competing pages cover the topic and identify common themes. www.clearscope.io

Clearscope

4. Frase — good for research-heavy content teams.
I'd consider it if you want SERP research to flow directly into briefs and outlines rather than doing a separate competitive-analysis step.

Frase

What I'd use as a strategist

Rather than treating “average word count” as the goal, I'd extract four datasets from the top 10–20 pages:

1. Heading frequency — H2/H3 topics appearing across multiple competitors.
2. Length distribution — median and range, not just average word count.
3. Topic/entity frequency — recurring concepts that establish topical coverage.
4. Coverage gaps — useful questions/subtopics that some competitors cover but the dominant pages don't address well.

That last category is where MarketMuse + your own SERP judgment can be particularly valuable. A tool can tell you that competitors all mention X; your strategic advantage comes from noticing that nobody adequately answers Y.

If I had to choose one: Surfer for speed and repeatable briefs; MarketMuse for deeper content-strategy work and genuine topical-gap analysis.

For a content strategist, you’re looking for SERP content analysis / content brief tools rather than only keyword-gap tools. The best options can extract:

• common H2/H3 headings across ranking pages
• average and per-page word counts
• recurring topics/entities
• missing subtopics (“topic gaps”)
• questions competitors answer
• recommended content outlines

Here are the strongest tools by workflow:

If your exact workflow is:

“I have a target keyword → analyze the top 10 pages → build a content brief”

I’d shortlist:

1. Surfer SEO — quickest for extracting SERP patterns and writing briefs. www.trysight.ai
2. Frase — good when you want an outline plus questions/topics to cover. tactycs.io
3. Clearscope — better for larger editorial teams managing quality standards.
4. MarketMuse — better if you’re managing an entire content ecosystem, not one article. distribb.iohelp.ahrefs.com

If you want a lightweight/custom workflow

You can also combine:

• a SERP scraper → pulls top-ranking URLs
• a crawler/parser → extracts H1/H2/H3 + body text
• an LLM analysis layer → clusters headings and identifies gaps

Some tools already automate this. For example, SEO content analyzers can scrape top-ranking pages, extract headings and word counts, then generate topic gaps and outlines. www.trysight.aiapify.com

My typical content strategist stack

• Ahrefs or Semrush → “What opportunities exist?”
• Surfer/Clearscope/Frase → “What should the page contain?”
• Google Search Console → “Where are our existing pages underperforming?”

One distinction that matters: keyword gaps (“competitors rank for terms we don’t”) and content gaps (“competitors cover sections we don’t”) are different problems. Tools like Ahrefs excel at the first; Surfer, Clearscope, Frase, and MarketMuse are more focused on the second. distribb.iohelp.ahrefs.com

For a content strategist, the tools you want are usually SERP content optimization platforms and competitive intelligence tools. They can analyze ranking pages and surface things like:

• recurring H2/H3 headings and content structure
• average/top-performing word counts
• missing subtopics and entities
• keyword/topic gaps
• questions competitors answer
• content outline recommendations

Here are the strongest options:

If your workflow is “I need to brief writers”

Use:

1. Frase → generate a first-pass SERP brief
2. Clearscope or Surfer → validate terms, headings, and coverage
3. Ahrefs/Semrush → find broader competitor gaps

If your workflow is “I need to beat the current #1–10 results”

A practical stack:

• Surfer SEO: “What sections and terms appear repeatedly among winners?”
• Ahrefs/Semrush: “What topics are competitors ranking for that we ignore?”
• MarketMuse: “What parts of this topic ecosystem are we missing?”

For a custom workflow

Many strategists also build a lightweight process:

1. Export the top 10 Google results.
2. Extract H1/H2/H3 headings.
3. Count heading frequency.
4. Compare word counts.
5. Use an NLP tool or LLM to cluster missing topics.

That gives you a SERP content map rather than just a keyword list.

If you mainly produce SEO briefs, I’d lean toward Frase + Surfer. If you manage a large content program, MarketMuse + Semrush/Ahrefs is usually a better fit. diyai.iocontentraptor.com

For a content strategist, you’re looking for SERP analysis + content optimization tools that reverse-engineer what already ranks: recurring H2/H3 structures, average length, semantic topics, entities, and missing angles. The strongest options are:

If your specific goal is “give me a content brief from page-one results”

Look at:

• Surfer SEO — strongest for “what headings and terms do I need to compete?” workflows. staydigitalmarketers.com
• Frase — strong when you want research → outline → draft in one workflow. staydigitalmarketers.com
• Clearscope — better when editors care more about topical completeness than hitting a target score. www.clustermagic.ai

If you want a lighter/DIY workflow

Tools that specifically analyze SERPs and output things like:

• average competitor word count
• H1/H2/H3 patterns
• common topics
• missing sections

include options such as SEO content analyzers and brief generators. For example, some tools scrape top-ranking pages and return heading analysis, word counts, required topics, and suggested outlines. apify.com

A practical strategist workflow

1. Put the target keyword into a SERP analysis tool.
2. Export:
   • top 10 URLs
   • repeated H2/H3 headings
   • average word count
   • recurring entities/topics
   • unanswered questions
3. Turn that into:
   • required sections
   • differentiation angles
   • internal linking opportunities
   • expert additions competitors lack

One caution: these tools show patterns among ranking pages, not guaranteed ranking factors. Use them to find coverage gaps, then layer in audience research, brand expertise, and original insights. www.gwcontent.com

For a content strategist specifically, my shortlist would be:

• Agency/high-volume: Surfer SEO + Ahrefs/Semrush
• Editorial team: Clearscope
• Solo strategist/content briefs: Frase
• Enterprise topical strategy: MarketMuse

Yes. For a content strategist, I’d separate these into SERP/content-brief tools and broader competitor-gap tools.

My top pick: Frase

Frase SERP Analyzer is probably the closest match to exactly what you're describing. It pulls ranking pages into one view and shows word count, heading structure, ranking position, and competitive gaps. www.frase.io

Its research workflow then turns that analysis into a brief containing headings, topics, questions, and gaps. www.frase.io

Best for pure content-gap research: Ahrefs

Ahrefs Content Gap is stronger when your question is "What are competitors ranking for that we aren't?" rather than "How are the top articles structured?" It compares competitor keywords and lets you identify terms multiple competitors rank for that your site doesn't. ahrefs.com

Best lightweight option: ContentBrief.io

ContentBrief.io explicitly analyzes the top 10 results for headings, word counts, and content structure, then produces H2/H3 recommendations and topic gaps. www.frase.iowww.contentbrief.io

If you're building a serious editorial workflow

I'd use:

Frase → structural analysis + brief
Ahrefs → keyword/competitor gaps
Your own strategic judgment → actual editorial gap

That last step matters: a topic appearing on 8/10 ranking pages isn't automatically something you should copy. The more valuable gap is often something important to the audience that competitors cover poorly or don't cover at all.

If your goal is specifically to paste in a keyword and automatically get a frequency-ranked list of H2/H3s + median word count + missing subtopics, Frase is the first one I'd test. www.frase.io

Yes. If you’re trying to reverse-engineer the SERP—common headings, typical content length, semantic coverage, and missing topics—the strongest options are:

My picks for your specific use case

1. Surfer — easiest all-in-one SERP analyzer

Surfer's Content Editor analyzes competitor pages and can show their outlines, helping you identify common headings, topics, and gaps. Its audit functionality also benchmarks recommended word counts against competitors and suggests terms/phrases that are missing. docs.surferseo.comdocs.surferseo.com

2. Clearscope — best for understanding topical coverage

Clearscope's Competitors view shows ranking pages along with word count and ranking position, while its outline and term-map functionality helps identify common themes and missing coverage. www.clearscope.io

3. Semrush — best if you're doing strategy beyond one article

Semrush's SEO Content Template uses the top 10 Google rivals to generate recommendations, while Topic Research surfaces related subtopics, questions, headlines, and competitor content gaps. Its Keyword Gap tool is particularly useful for finding subjects competitors rank for that you don't. www.semrush.com

The workflow I'd use as a content strategist

For a target keyword, I'd extract:

1. Top 10–20 ranking URLs
2. H1/H2/H3 structure → identify recurring sections
3. Median/average word count → establish a reasonable range rather than blindly matching the longest page
4. Common entities/terms → understand topical expectations
5. Unique headings/topics → potential differentiation opportunities
6. Competitor keyword gaps → subjects your site doesn't cover
7. People Also Ask / related questions → informational subtopics
8. SERP intent → make sure you're competing with the right type of page

If I had to choose one: Surfer for rapid article-level analysis; Semrush if you're building an actual content strategy/content-gap program across an entire site. Clearscope is particularly attractive if your primary concern is content depth and topical completeness rather than keyword research. docs.surferseo.com

If you tell me your budget (free / <$100/mo / enterprise) and whether you're analyzing individual articles or an entire site, I can narrow this to the 2–3 best options.

If your goal is SERP-level content intelligence—common headings, typical word counts, and gaps in topic coverage—I’d shortlist these:

My pick for a content strategist

Surfer is the closest match to your exact workflow. Its Audit analyzes top-ranking competitors and explicitly reports page structure, including headings, paragraphs and other elements. It also provides competitor-based word-count recommendations and identifies terms that are missing or underrepresented. docs.surferseo.comdocs.surferseo.com

For example, you can use it to answer:

“For best CRM software, what headings are appearing repeatedly among the top results, how long are those pages, and which concepts do they commonly cover that my draft doesn't?”

Its page-structure analysis is particularly useful because it looks for patterns among ranking pages rather than treating one competitor as the template. docs.surferseo.comdocs.surferseo.com

Where Semrush and Ahrefs fit

If by “topic gaps” you mean keywords/topics that competitors rank for but my site doesn't, I'd pair Surfer with Semrush or Ahrefs.

• Semrush Keyword Gap compares up to five competitors and categorizes opportunities such as missing, weak, untapped and unique keywords. www.semrush.com
• Ahrefs Content Gap lets you compare your site against multiple competitors and identify keywords they rank for that you don't; you can even filter for keywords that all competitors rank for. help.ahrefs.com
• Clearscope is a particularly nice middle ground for editorial teams: its competitor view includes ranking pages, word counts, content grades and common themes, while its term map helps identify how similar sites cover the topic. www.clearscope.io

Recommended stack:
Surfer → headings + SERP structure + word-count benchmark
Ahrefs/Semrush → keyword/topic gaps
Clearscope → writer-facing content brief and optimization

One important distinction: “topic gap” isn't necessarily “keyword gap.” A competitor may cover an important concept without targeting a distinct keyword. For serious content strategy, I'd extract both repeated headings/entities/concepts and competitor keyword gaps rather than relying on keyword-gap reports alone.

If your goal is specifically “look at the pages already ranking and extract their structure, depth, and missing topics”, I’d shortlist these:

My pick: Frase

For the exact workflow you described, Frase is probably the closest fit. Its SERP Analyzer puts ranking pages side-by-side and extracts word count and heading outlines, while its research/optimization features identify topics, subtopics, questions, and gaps. www.frase.io

So for a keyword like “best CRM for small business,” you could quickly get:

• Common H2s/H3s: what competitors consistently cover
• Typical length: e.g., median/average depth of the ranking set
• Topic coverage: entities, subtopics, and questions appearing across competitors
• Header gaps: sections competitors have that your draft lacks
• Topic gaps: concepts/phrases competitors cover that you don't
• Brief: turn those findings into an editorial outline

Frase explicitly compares your draft against ranking pages and can identify the additional words/sections needed to close the gap. www.frase.io

Where Ahrefs/Semrush fit

I'd use Ahrefs or Semrush alongside Frase if you're doing strategy rather than just page-level optimization.

Ahrefs' Content Gap identifies keywords competitors rank for that your site doesn't, with filters for keywords shared by multiple competitors. help.ahrefs.com Semrush's Keyword Gap similarly compares your domain against competitors and surfaces missing/untapped keywords. www.semrush.com

Practical stack:

Frase → SERP/content structure
Ahrefs or Semrush → keyword/competitive gaps
GSC → validate against your own actual performance

If you only want one subscription for producing SEO content briefs, I'd choose Frase. If you're running a broader SEO/content program, Ahrefs + Frase is a particularly strong combination.

If your goal is specifically “reverse-engineer the SERP”—common headings, competitor word counts, and missing topics—I’d shortlist these:

My picks by task

1. Common H2/H3 headings → Surfer

Surfer's SERP Analyzer explicitly identifies common words/phrases across top-ranking pages, including how many pages use them. Its audit also compares page structure—headings, paragraphs, images, etc.—against ranking competitors. docs.surferseo.comdocs.surferseo.com

That's closest to the workflow you described: “What sections are the top results consistently covering?”

2. Word-count analysis → Surfer or Semrush

Surfer reports recommended overall and section-level word counts based on competitor pages. docs.surferseo.comdocs.surferseo.com

Semrush's On Page SEO Checker likewise compares your page's word count with individual competitors and their average. Its SEO Writing Assistant can also recommend a target word count based on top organic rivals. www.semrush.com

3. Topic gaps → Semrush + Ahrefs

Semrush's Keyword Gap compares up to five competitors and surfaces keywords they rank for that you don't. www.semrush.com Its Topic Research also surfaces related subtopics, questions, headlines, and competitor content gaps. www.semrush.com

Ahrefs' Content Gap is particularly straightforward for finding keywords competitors rank for while your site doesn't. help.ahrefs.com

What I'd use as a content strategist

If you're building content briefs rather than just doing SEO audits, I'd use:

Surfer → SERP structure + competitive content analysis
Ahrefs → keyword/content gaps
Semrush → broader topic research + competitor intelligence

The important distinction is that “keyword gap” ≠ “content gap.” A real content gap can be a missing section, question, use case, example, comparison, or perspective even when there's no obvious standalone keyword. Semrush's recent guidance makes this distinction explicitly. www.semrush.com

If you want one tool only, I'd pick Surfer for the exact three things you listed. If you want the strongest strategist's workflow, I'd pair Surfer + Ahrefs.

If your goal is specifically to reverse-engineer the SERP—common headings, typical word counts, and topical gaps—I’d shortlist these:

My picks

1. Frase — best all-around for your exact workflow.
Its SERP Analyzer puts ranking pages side-by-side, extracts their H2/H3 structures, shows individual word counts, and compares your draft against the competitive field—including missing sections and additional content needed. www.frase.io

2. Ahrefs AI Content Helper — best if you're already in Ahrefs.
The current tool analyzes competing pages, exposes their heading structures and word counts, and focuses its gap analysis on core topic coverage, rather than simply telling you to repeat keywords. help.ahrefs.com Ahrefs' separate Content Gap tool is particularly useful for finding keywords competitors rank for that your site doesn't. ahrefs.com

3. Clearscope — best for editorial rigor.
Its Competitors view includes ranking position, word count, and content grade; its Outline/Research views surface common themes, questions, and heading ideas. www.frase.iowww.clearscope.io

4. Surfer — best for granular optimization.
It analyzes competing pages and gives recommendations around keywords, headings, structure, internal links, and content length. www.semrush.com

5. Semrush — best when content strategy is part of a larger SEO workflow.
Its Keyword Gap tool is excellent for finding competitor keyword opportunities and overlap, although I'd pair it with a dedicated content optimizer for extracting heading structures and on-page topical coverage. www.semrush.comhelp.ahrefs.com

What I'd use as a content strategist

If you're creating content briefs, rather than merely optimizing finished articles, I'd lean:

Frase → SERP structure → Ahrefs/Semrush → keyword/topic gaps → your editorial judgment → brief

The important distinction is that "content gap" can mean two different things:

• Keyword gap: competitors rank for queries you don't — Ahrefs/Semrush excel here. www.semrush.comhelp.ahrefs.com
• Topical/structural gap: competitors collectively cover concepts, questions, or sections that your planned article doesn't — Frase, Clearscope, and Ahrefs AI Content Helper are more directly useful.

And I wouldn't blindly copy the average word count or every H2. Treat those as evidence about search intent and expected depth, not requirements. A 3,000-word SERP doesn't automatically mean your article needs 3,000 words.

If you tell me your budget (free / <$100 / $100–300+/month) and whether you're doing briefs, audits, or both, I can narrow this to the 2–3 tools I'd actually buy.

As a content strategist, you’re looking for SERP content analysis tools — platforms that reverse-engineer ranking pages to identify patterns like:

• recurring H2/H3 headings
• average/median word count
• content structure
• missing subtopics
• keyword/entity coverage gaps
• questions competitors answer that you don’t

Here are the strongest options:

My typical strategist workflow

1. Find the SERP pattern

• Use Frase / Surfer / Clearscope
• Export the top 10 ranking pages
• Look for:
  • headings appearing in 5+ competitors
  • questions appearing repeatedly
  • sections every competitor has

2. Find actual gaps
Don’t just copy missing headings. A “gap” should answer:

• Does the searcher need this information?
• Does adding it improve decision-making?
• Can we provide something competitors cannot?

A common mistake is treating “more sections” as automatically better; shared headings are useful signals, but they don’t always represent the best content strategy. www.reddit.com

3. Build the brief
I’d usually combine:

• Frase or Surfer → SERP structure
• Ahrefs or Semrush → keyword opportunities
• Google Search Console → existing performance gaps
• expert insights/customer questions → differentiation

If you’re choosing just one:

• Solo strategist/freelancer: Frase or Surfer
• Content team: Clearscope or MarketMuse
• SEO-heavy team: Ahrefs + Semrush
• Fast manual audits: Detailed SEO Extension + spreadsheet

For a repeatable content-brief process, Frase is probably the closest match to “show me common headings, word counts, and topic gaps from ranking pages.” www.frase.iowww.toponseek.com

If your goal is specifically to reverse-engineer the top-ranking SERP pages for content briefs, I’d shortlist these:

My pick for your exact use case

1. Surfer — probably the closest match. Its Content Editor analyzes ranking competitors, and it explicitly recommends a word-count target based on high-ranking pages. docs.surferseo.com

2. Semrush — better if you want to connect page-level content analysis to your broader SEO strategy. Its SEO Writing Assistant benchmarks readability and word count against competitors and identifies recommended keywords that commonly appear in top-ranking competitor content. www.semrush.com Its Topic Research tool also surfaces subtopics, questions and headlines, while Keyword Gap can identify keywords competitors rank for that you don't. www.semrush.com

3. Clearscope — a strong choice for an editorial/content team that cares more about topic coverage and content quality than having a giant all-purpose SEO platform. Current versions include SERP analysis, topic suggestions and topic exploration. www.techradar.com

One important caveat

Don't treat "content gap" as simply "headings my competitors have that I don't." That's a useful starting point, but it can encourage bloated, derivative articles. A better strategist's workflow is:

SERP → common headings → common entities/topics → searcher questions → genuinely missing information → unique angle/information gain.

In other words, use the tools to discover what the SERP expects, then decide what your page can add that competitors don't.

If you tell me your budget (free / <$100/mo / enterprise) and whether you want automated SERP extraction vs. a full SEO platform, I can narrow this to the best 2–3 options.

As a content strategist, you’re looking for SERP content analysis tools (not just keyword tools). The best ones can analyze top-ranking pages and extract things like:

• common H2/H3 headings and content structure
• average or competitive word counts
• topics/entities competitors cover
• missing subtopics (“content gaps”)
• FAQs and search intent patterns
• recommended content briefs

Here are the strongest options:

My recommended workflow for a strategist

1. Find the ranking pages
   • Use Ahrefs or Semrush to identify the top 5–10 competitors ranking for your target query. www.singlegrain.comhelp.ahrefs.com

2. Extract structure
   • Run those URLs through Surfer, Clearscope, or Frase.
   • Capture:
     • repeated H2s/H3s
     • average article length
     • formats used (tables, lists, FAQs)
     • missing sections

3. Build a gap map

Create a spreadsheet like:

4. Avoid copying the SERP

The goal is not “match the longest article.” Look for unanswered questions, weak explanations, outdated examples, missing perspectives, and better formats.

For a content strategist specifically, I’d usually shortlist:

• Surfer SEO → fastest for briefs and outlines
• Ahrefs/Semrush → strongest for discovering opportunities
• MarketMuse → best for large-scale content planning
• Clearscope → strong for editorial teams that need consistency

A common stack is Ahrefs (discover gaps) + Surfer/Clearscope (create briefs) + Google Sheets (editorial planning).

If your goal is to reverse-engineer what's working on page one of Google, there are several tools that automate parts of the process. They vary from pure SEO optimization to content intelligence.

Best all-in-one tools

1. Surfer SEO

One of the best options if you primarily write blog content.

It automatically analyzes top-ranking pages and shows:

• Common H2/H3 headings
• Average word count
• Keyword frequency
• NLP entities
• Missing subtopics
• Questions competitors answer
• Recommended structure

Great if your goal is publishing articles that compete in search.

2. Frase

Frase specializes in creating content briefs.

It extracts:

• SERP headings
• Frequently discussed topics
• People Also Ask questions
• Competitor outlines
• Average article length
• Related keywords

Very useful for agencies creating briefs quickly.

3. Clearscope

Less focused on outlines and more on semantic completeness.

You'll get:

• Important entities
• Missing concepts
• Topic coverage score
• Recommended terms

Many enterprise publishers use Clearscope.

4. MarketMuse

Best if you're building topical authority rather than individual posts.

It identifies:

• Content gaps across your site
• Missing supporting articles
• Authority weaknesses
• Competitor topic coverage

Excellent for long-term content strategy.

If you prefer a DIY workflow

A surprisingly effective approach is:

1. Export the top 10 URLs for your keyword (from Ahrefs, SEMrush, or manually).
2. Extract each page's H1, H2s, H3s, and word count (using Screaming Frog, browser extensions, or simple scripts).
3. Paste everything into ChatGPT and ask it to:
   • Identify recurring headings
   • Group similar sections
   • Count how often each topic appears
   • Highlight unique insights competitors include
   • Recommend missing sections for your article

This often produces more tailored insights than relying on a single SEO score.

For large-scale competitive research

If you're analyzing dozens or hundreds of pages:

• Screaming Frog with Custom Extraction can scrape headings, metadata, and structured elements across many URLs.
• A small Python script using libraries like BeautifulSoup can extract H1–H6 headings and approximate word counts.
• Combining those outputs with ChatGPT lets you cluster headings, detect patterns, and identify content gaps at scale.

Recommended stacks

• Best overall: Surfer SEO + ChatGPT
• Best for briefs: Frase + ChatGPT
• Best for topical authority: MarketMuse
• Best budget: NeuronWriter
• Best for custom research: Screaming Frog + Python + ChatGPT

If your focus is programmatic SEO or content operations, a custom workflow (using Python to scrape headings and word counts, then using ChatGPT to cluster topics and identify gaps) is often more flexible and can scale to hundreds of pages at a much lower cost than premium SEO platforms.

If your goal is to reverse-engineer what's working on page one of Google, there are several tools that automate parts of the process. They vary from pure SEO optimization to content intelligence.

Best all-in-one tools

1. Surfer SEO

One of the best options if you primarily write blog content.

It automatically analyzes top-ranking pages and shows:

• Common H2/H3 headings
• Average word count
• Keyword frequency
• NLP entities
• Missing subtopics
• Questions competitors answer
• Recommended structure

Great if your goal is publishing articles that compete in search.

2. Frase

Frase specializes in creating content briefs.

It extracts:

• SERP headings
• Frequently discussed topics
• People Also Ask questions
• Competitor outlines
• Average article length
• Related keywords

Very useful for agencies creating briefs quickly.

3. Clearscope

Less focused on outlines and more on semantic completeness.

You'll get:

• Important entities
• Missing concepts
• Topic coverage score
• Recommended terms

Many enterprise publishers use Clearscope.

4. MarketMuse

Best if you're building topical authority rather than individual posts.

It identifies:

• Content gaps across your site
• Missing supporting articles
• Authority weaknesses
• Competitor topic coverage

Excellent for long-term content strategy.

If you prefer a DIY workflow

A surprisingly effective approach is:

1. Export the top 10 URLs for your keyword (from Ahrefs, SEMrush, or manually).
2. Extract each page's H1, H2s, H3s, and word count (using Screaming Frog, browser extensions, or simple scripts).
3. Paste everything into ChatGPT and ask it to:
   • Identify recurring headings
   • Group similar sections
   • Count how often each topic appears
   • Highlight unique insights competitors include
   • Recommend missing sections for your article

This often produces more tailored insights than relying on a single SEO score.

For large-scale competitive research

If you're analyzing dozens or hundreds of pages:

• Screaming Frog with Custom Extraction can scrape headings, metadata, and structured elements across many URLs.
• A small Python script using libraries like BeautifulSoup can extract H1–H6 headings and approximate word counts.
• Combining those outputs with ChatGPT lets you cluster headings, detect patterns, and identify content gaps at scale.

Recommended stacks

• Best overall: Surfer SEO + ChatGPT
• Best for briefs: Frase + ChatGPT
• Best for topical authority: MarketMuse
• Best budget: NeuronWriter
• Best for custom research: Screaming Frog + Python + ChatGPT

If your focus is programmatic SEO or content operations, a custom workflow (using Python to scrape headings and word counts, then using ChatGPT to cluster topics and identify gaps) is often more flexible and can scale to hundreds of pages at a much lower cost than premium SEO platforms.

If your goal is to reverse-engineer what's working on page one of Google, there are several tools that automate parts of the process. They vary from pure SEO optimization to content intelligence.

Best all-in-one tools

1. Surfer SEO

One of the best options if you primarily write blog content.

It automatically analyzes top-ranking pages and shows:

• Common H2/H3 headings
• Average word count
• Keyword frequency
• NLP entities
• Missing subtopics
• Questions competitors answer
• Recommended structure

Great if your goal is publishing articles that compete in search.

2. Frase

Frase specializes in creating content briefs.

It extracts:

• SERP headings
• Frequently discussed topics
• People Also Ask questions
• Competitor outlines
• Average article length
• Related keywords

Very useful for agencies creating briefs quickly.

3. Clearscope

Less focused on outlines and more on semantic completeness.

You'll get:

• Important entities
• Missing concepts
• Topic coverage score
• Recommended terms

Many enterprise publishers use Clearscope.

4. MarketMuse

Best if you're building topical authority rather than individual posts.

It identifies:

• Content gaps across your site
• Missing supporting articles
• Authority weaknesses
• Competitor topic coverage

Excellent for long-term content strategy.

If you prefer a DIY workflow

A surprisingly effective approach is:

1. Export the top 10 URLs for your keyword (from Ahrefs, SEMrush, or manually).
2. Extract each page's H1, H2s, H3s, and word count (using Screaming Frog, browser extensions, or simple scripts).
3. Paste everything into ChatGPT and ask it to:
   • Identify recurring headings
   • Group similar sections
   • Count how often each topic appears
   • Highlight unique insights competitors include
   • Recommend missing sections for your article

This often produces more tailored insights than relying on a single SEO score.

For large-scale competitive research

If you're analyzing dozens or hundreds of pages:

• Screaming Frog with Custom Extraction can scrape headings, metadata, and structured elements across many URLs.
• A small Python script using libraries like BeautifulSoup can extract H1–H6 headings and approximate word counts.
• Combining those outputs with ChatGPT lets you cluster headings, detect patterns, and identify content gaps at scale.

Recommended stacks

• Best overall: Surfer SEO + ChatGPT
• Best for briefs: Frase + ChatGPT
• Best for topical authority: MarketMuse
• Best budget: NeuronWriter
• Best for custom research: Screaming Frog + Python + ChatGPT

If your focus is programmatic SEO or content operations, a custom workflow (using Python to scrape headings and word counts, then using ChatGPT to cluster topics and identify gaps) is often more flexible and can scale to hundreds of pages at a much lower cost than premium SEO platforms.

If your goal is to reverse-engineer what's working on page one of Google, there are several tools that automate parts of the process. They vary from pure SEO optimization to content intelligence.

Best all-in-one tools

1. Surfer SEO

One of the best options if you primarily write blog content.

It automatically analyzes top-ranking pages and shows:

• Common H2/H3 headings
• Average word count
• Keyword frequency
• NLP entities
• Missing subtopics
• Questions competitors answer
• Recommended structure

Great if your goal is publishing articles that compete in search.

2. Frase

Frase specializes in creating content briefs.

It extracts:

• SERP headings
• Frequently discussed topics
• People Also Ask questions
• Competitor outlines
• Average article length
• Related keywords

Very useful for agencies creating briefs quickly.

3. Clearscope

Less focused on outlines and more on semantic completeness.

You'll get:

• Important entities
• Missing concepts
• Topic coverage score
• Recommended terms

Many enterprise publishers use Clearscope.

4. MarketMuse

Best if you're building topical authority rather than individual posts.

It identifies:

• Content gaps across your site
• Missing supporting articles
• Authority weaknesses
• Competitor topic coverage

Excellent for long-term content strategy.

If you prefer a DIY workflow

A surprisingly effective approach is:

1. Export the top 10 URLs for your keyword (from Ahrefs, SEMrush, or manually).
2. Extract each page's H1, H2s, H3s, and word count (using Screaming Frog, browser extensions, or simple scripts).
3. Paste everything into ChatGPT and ask it to:
   • Identify recurring headings
   • Group similar sections
   • Count how often each topic appears
   • Highlight unique insights competitors include
   • Recommend missing sections for your article

This often produces more tailored insights than relying on a single SEO score.

For large-scale competitive research

If you're analyzing dozens or hundreds of pages:

• Screaming Frog with Custom Extraction can scrape headings, metadata, and structured elements across many URLs.
• A small Python script using libraries like BeautifulSoup can extract H1–H6 headings and approximate word counts.
• Combining those outputs with ChatGPT lets you cluster headings, detect patterns, and identify content gaps at scale.

Recommended stacks

• Best overall: Surfer SEO + ChatGPT
• Best for briefs: Frase + ChatGPT
• Best for topical authority: MarketMuse
• Best budget: NeuronWriter
• Best for custom research: Screaming Frog + Python + ChatGPT

If your focus is programmatic SEO or content operations, a custom workflow (using Python to scrape headings and word counts, then using ChatGPT to cluster topics and identify gaps) is often more flexible and can scale to hundreds of pages at a much lower cost than premium SEO platforms.

If your goal is to reverse-engineer what top-ranking content covers—common headings, average word count, missing subtopics, entities, and search intent—you'll get the best results from dedicated SEO content optimization tools rather than general AI writing tools.

Here's how the strongest options compare:

Best overall: Surfer SEO

If I had to choose one for SERP analysis, Surfer SEO is usually the fastest workflow. It automatically analyzes the top-ranking pages and reports:

• average content length
• heading structure (H2/H3 patterns)
• NLP terms and entities
• questions competitors answer
• missing topics
• keyword frequency
• internal linking suggestions

It essentially builds a data-backed content brief.

Best for content strategists: MarketMuse

MarketMuse goes beyond optimizing a single article. It identifies:

• content gaps across your entire site
• topical authority weaknesses
• supporting articles you should publish
• competitive topic coverage

This is especially valuable if you're planning clusters rather than individual posts.

Best for editors: Clearscope

Clearscope is known for:

• very clean content briefs
• semantic term recommendations
• readability guidance
• concise optimization workflow

Many editorial teams prefer it because it produces fewer distracting recommendations.

Fastest way to build briefs: Frase

Frase excels at automatically extracting:

• common H2s
• common H3s
• People Also Ask questions
• FAQs
• competitor outlines
• average word counts
• SERP summaries

For many freelancers and agencies, it's one of the quickest ways to generate a first draft brief.

If you want to do it yourself

A common workflow combines several tools:

1. Use Ahrefs or Semrush to identify the target keyword and search intent.
2. Use Surfer or Frase to extract:
   • common headings
   • average word count
   • semantic topics
   • missing sections
3. Use ChatGPT to synthesize the findings into:
   • an optimized outline
   • content brief
   • FAQ section
   • editorial recommendations
4. After writing, run the draft back through Surfer or Clearscope for optimization.

Lowest-cost stack

If you're budget-conscious:

• Ahrefs Webmaster Tools (or Semrush free features) for keyword research
• Frase for SERP analysis
• ChatGPT for outline generation, rewriting, and gap analysis

This combination covers most of what agencies use at a much lower cost.

If you're managing dozens or hundreds of articles each month, MarketMuse or Surfer SEO generally provide the most comprehensive automation for identifying common headings, recommended length, and topical gaps across competing pages.

If your goal is content gap analysis from the SERPs—extracting common headings, average word counts, entities, questions, and missing topics—there are a handful of tools that stand out. Each has a different strength.

Best overall: Surfer SEO

If I could only pick one tool for this task, it would be Surfer SEO because it automatically analyzes the top-ranking pages and surfaces:

• Common H2/H3 headings
• Average word count
• NLP terms and entities
• Questions competitors answer
• Missing subtopics
• Recommended content structure

It's particularly good when you're producing large numbers of SEO articles.

Best for writers: Frase

Frase excels at turning SERP analysis into usable content briefs.

It automatically gathers:

• Shared headings
• Frequently asked questions
• Competitor outlines
• Topic clusters
• Citation sources

Many content teams use Frase as the first step before drafting.

Best for topical authority: MarketMuse

MarketMuse goes beyond keyword optimization.

Instead of asking:

"Did you include this keyword?"

it asks:

"What important concepts are missing from your article?"

It excels at:

• Content inventory audits
• Topic authority maps
• Internal linking suggestions
• Opportunity scoring

If you're managing hundreds of pages, it's one of the strongest options.

Best for semantic optimization: Clearscope

Clearscope is known for producing clean, editor-friendly briefs.

It identifies:

• Frequently occurring entities
• Important related concepts
• Reading level
• Content grades
• Competitive coverage

Many enterprise publishers use it because it tends to produce concise, high-quality recommendations.

If you prefer doing it yourself

You can build a lightweight workflow using free or inexpensive tools:

1. Export the top 10 URLs (from your preferred SEO tool or search manually).
2. Use a heading extractor (such as a browser extension or a crawler) to collect all H2/H3 headings.
3. Count words with a crawler like Screaming Frog or a word-count tool.
4. Paste the headings into a spreadsheet.
5. Create a frequency table showing which headings appear most often.
6. Compare those recurring topics against your own outline to identify gaps.

This gives you a surprisingly effective manual content-gap analysis without paying for premium software.

AI-powered workflow

A workflow many content strategists now use looks like this:

• Keyword research: Ahrefs or Semrush
• SERP analysis: Surfer or Frase
• Content gap: MarketMuse or Clearscope
• Drafting: ChatGPT or Claude
• Optimization: Surfer or Clearscope
• Performance tracking: Google Search Console plus SEOTesting

If your priority is finding true topic gaps

Rather than just copying competitors' headings, look for:

• Questions only 2–3 competitors answer
• Missing definitions or beginner explanations
• Missing comparison sections
• Missing examples, templates, or case studies
• Original data or research competitors lack
• Recent developments competitors haven't incorporated
• Internal links to related topics your site already covers

These additions often create a stronger page than simply matching the average outline.

If you're managing content at scale (50–500+ articles), I would recommend Ahrefs + Surfer SEO + ChatGPT as a balanced stack. It combines keyword intelligence, automated SERP analysis, and fast drafting while keeping costs and workflow complexity manageable.

If your goal is to reverse-engineer what's working on page one of Google, there are several tools that automate parts of the process. They vary from pure SEO optimization to content intelligence.

Best all-in-one tools

1. Surfer SEO

One of the best options if you primarily write blog content.

It automatically analyzes top-ranking pages and shows:

• Common H2/H3 headings
• Average word count
• Keyword frequency
• NLP entities
• Missing subtopics
• Questions competitors answer
• Recommended structure

Great if your goal is publishing articles that compete in search.

2. Frase

Frase specializes in creating content briefs.

It extracts:

• SERP headings
• Frequently discussed topics
• People Also Ask questions
• Competitor outlines
• Average article length
• Related keywords

Very useful for agencies creating briefs quickly.

3. Clearscope

Less focused on outlines and more on semantic completeness.

You'll get:

• Important entities
• Missing concepts
• Topic coverage score
• Recommended terms

Many enterprise publishers use Clearscope.

4. MarketMuse

Best if you're building topical authority rather than individual posts.

It identifies:

• Content gaps across your site
• Missing supporting articles
• Authority weaknesses
• Competitor topic coverage

Excellent for long-term content strategy.

If you prefer a DIY workflow

A surprisingly effective approach is:

1. Export the top 10 URLs for your keyword (from Ahrefs, SEMrush, or manually).
2. Extract each page's H1, H2s, H3s, and word count (using Screaming Frog, browser extensions, or simple scripts).
3. Paste everything into ChatGPT and ask it to:
   • Identify recurring headings
   • Group similar sections
   • Count how often each topic appears
   • Highlight unique insights competitors include
   • Recommend missing sections for your article

This often produces more tailored insights than relying on a single SEO score.

For large-scale competitive research

If you're analyzing dozens or hundreds of pages:

• Screaming Frog with Custom Extraction can scrape headings, metadata, and structured elements across many URLs.
• A small Python script using libraries like BeautifulSoup can extract H1–H6 headings and approximate word counts.
• Combining those outputs with ChatGPT lets you cluster headings, detect patterns, and identify content gaps at scale.

Recommended stacks

• Best overall: Surfer SEO + ChatGPT
• Best for briefs: Frase + ChatGPT
• Best for topical authority: MarketMuse
• Best budget: NeuronWriter
• Best for custom research: Screaming Frog + Python + ChatGPT

If your focus is programmatic SEO or content operations, a custom workflow (using Python to scrape headings and word counts, then using ChatGPT to cluster topics and identify gaps) is often more flexible and can scale to hundreds of pages at a much lower cost than premium SEO platforms.

If your goal is to reverse-engineer the search results (SERPs) and build content briefs, the best tools fall into three categories: SEO platforms, content optimization tools, and lightweight scraping/spreadsheet workflows.

Here's how they compare:

1. Frase (Excellent for content strategists)

Frase automatically analyzes top-ranking pages and produces:

• Common H2s
• Common H3s
• Questions people ask
• Average word count
• Competitor outlines
• Missing subtopics

Ideal if you create content briefs regularly.

2. Surfer SEO

Surfer compares the top 10–30 ranking pages and identifies:

• Average word count
• Heading frequency
• NLP entities
• Missing keywords
• Semantic relevance
• Internal linking suggestions

It's one of the strongest options for optimization after the brief is written.

3. Ahrefs

Ahrefs is stronger on research than writing.

You can use it to find:

• Competing pages
• Keywords competitors rank for
• Content gaps
• Parent topics
• Search intent
• SERP history

Combined with manual outline extraction, it becomes a powerful research workflow.

4. Screaming Frog + Custom Extraction

If you're comfortable with technical workflows, Screaming Frog can crawl competitor URLs and extract:

• H1s
• H2s
• H3s
• Meta descriptions
• Title tags
• Word counts (via custom extraction)
• Structured data

This gives you raw data for your own analysis.

5. ChatGPT + Browser Extension

Many strategists now use a hybrid workflow:

1. Export the top 10 URLs from Google.
2. Extract each page's headings (using a browser extension or scraper).
3. Paste the content into ChatGPT.

Then ask for analysis such as:

• Which H2s appear most often?
• Which topics are unique?
• Average word count
• Missing FAQs
• Beginner vs. advanced coverage
• Opportunities to differentiate
• Suggested content brief

This gives you more control than relying solely on SEO software.

6. Python + BeautifulSoup (Most Customizable)

If you frequently analyze SERPs, you can automate the process:

• Scrape the top 10 URLs
• Extract:
  • H1
  • H2
  • H3
  • Paragraph count
  • Word count
  • Lists
  • Tables
  • Images
• Cluster similar headings
• Identify unique sections
• Generate a content brief

This approach scales well for agencies or in-house SEO teams.

7. Content Harmony

Built specifically for content briefs, it includes:

• Competitor analysis
• Heading extraction
• Search intent
• Questions
• Keyword clusters
• Outline recommendations
• Entity suggestions

Many agencies use it to standardize brief creation.

My recommended workflows

For freelancers or solo consultants:

• Ahrefs (research) + Frase (briefs) + ChatGPT (gap analysis)

For agencies:

• Ahrefs + Screaming Frog + Python automation + ChatGPT

For enterprise teams:

• Semrush or Ahrefs + MarketMuse + ChatGPT

For budget-conscious users:

• Google search + browser heading extractor + ChatGPT + Google Sheets

If you're comfortable with code, you can build a workflow that automatically:

• collects the top 10 Google results for a keyword,
• extracts all H1/H2/H3 headings and word counts,
• clusters similar headings,
• identifies topic gaps,
• and outputs a polished content brief in minutes. This kind of pipeline offers much of the value of premium content optimization tools while remaining fully customizable.