We pulled the live SERP for 1,000 keywords across 10 industries, scraped the top 10 ranking pages from each, and analysed the structure of 6,889 pages that returned content. The result is the most current, defensible answer to a question every content team is asking: what actually ranks in 2026?
The headline finding is uncomfortable for the SEO industry. The advice that has been repeated for a decade, write 2,000+ words, include a table of contents, structure with H2s and H3s, expose a publish date, does not describe what is currently ranking. The data describes a different reality. One in two of the keywords we sampled now has Reddit in its top 10. The median ranking page is 950 words, not 2,000. The Table of Contents appears on 0.3% of pages. Industry, not heuristic, is the strongest predictor of structure.
Here is the full dataset, the methodology behind it, and what it changes for the brief you write next.
The Methodology in 60 Seconds
The sample was constructed to be defensible:
- 1,000 keywords, stratified into 10 industries (SaaS, Ecommerce, Finance, Health, Travel, Education, Legal, Real Estate, Home Services, Food).
- Each keyword sourced via DataForSEO’s keyword_ideas API from five seed phrases per industry, then filtered to the meaningful middle (1,000–50,000 monthly US searches) and deduplicated.
- For each keyword, the live Google SERP was fetched and the top 10 organic URLs extracted.
- Each URL was fetched directly, no third-party index, and parsed for word count, H1/H2/H3 count, section length, intro length, paragraph/image/list/table counts, table-of-contents presence, FAQ presence, and visible publish/modified dates.
- 6,889 of 10,000 pages returned parseable content. The remaining ~31% were either rendered behind JavaScript walls, blocked our user agent, returned non-HTML responses, or timed out.
For all structural averages reported below, we separate publisher pages (traditional content sites) from non-publisher pages (Reddit, YouTube, app stores, social platforms, marketplaces). The non-publisher group accounts for 26.5% of every top-10 position we sampled, a finding that itself becomes the first major signal.
Finding 1, Reddit Is Now in 1 of Every 2 SERPs
Reddit appeared in the top 10 organic results for 51.8% of the 1,000 keywords we tested. Including Quora and StackExchange, the figure rises to 52.1%. YouTube appeared in the top 10 for 32.1%. The Google Play Store or Apple App Store appeared for 18.6%. Across all 6,889 ranked positions, 26.5% were occupied by something other than a traditional publisher page.
The takeover is not uniform. It correlates strongly with regulatory weight on the topic.
Reddit prevalence by industry
- Education, Reddit in top 10 for 72% of keywords
- Food, 71%
- Home Services, 69%
- Finance, 66%
- SaaS, 50%
- Ecommerce, 49%
- Legal, 48%
- Real Estate, 34%
- Travel, 30%
- Health, 29%
The pattern is consistent: the more Google trusts an established expert hierarchy in a vertical, the less Reddit it serves. Health and Travel, both heavily regulated YMYL territory, see Reddit at less than half the rate of Education or Food. This has a clean strategic implication. If you are publishing into Education, Food, or Home Services, your top 10 is now a hybrid of publisher and forum content, and your brief must explicitly target the gap between the two.
Finding 2, The 2,000-Word Minimum Is Dead
Across publisher pages only, excluding Reddit, video, and app store pages, which distort downward, the median ranking page is 950 words. The mean climbs to 1,300 because of a long tail of 25,000+ word outliers, but the median is the honest centre of the distribution.
The much more interesting finding is what happens when we plot word count against SERP position. There is no monotonic relationship.
- Position #1 publisher pages average ~1,200 words.
- Position 2–5 publisher pages average ~1,340 words.
- Position 6–10 publisher pages average ~1,290 words.
Position #1 is not the longest. Position #1 is, on average, slightly shorter than positions 2–5. The widely repeated heuristic, match the word count of the top result, then add 20%, has no support in this dataset. Page length is not predicting ranking; it is decorating it.
What this changes: when you brief an article, set the word target by topical completeness, not by competitor longest. The longest competitor is not the highest-ranking competitor. The right target is how many distinct user questions the article resolves, fan-out queries from PAA, related searches, and autocomplete, not how many words fill the page. Zero-Volume Alpha goes deep on this: the queries that determine whether a page out-traffics a longer competitor are the ones that don’t show up in any keyword tool.
Finding 3, Structure Is Industry-Specific, Not Universal
The variation in median word count by industry is not subtle. It is 4x.
Median publisher word count by industry
- Health, 1,188 words
- Home Services, 988 words
- Legal, 944 words
- Travel, 826 words
- Education, 739 words
- Finance, 627 words
- Ecommerce, 535 words
- Real Estate, 453 words
- Food, 448 words
- SaaS, 296 words
Health pages run four times longer than SaaS pages at the median, and they carry more H2s (median 5 versus 1). The reason is structural: Health queries reward depth, citation, and E-E-A-T-loaded prose. SaaS queries reward direct landing pages, comparison tables, and pricing, formats that don’t need 2,000 words to win.
The lesson is that no universal “ideal article” exists. The architecture that ranks for “intermittent fasting benefits” would be the wrong architecture for “best CRM for small business”, and treating SEO advice as universal is what produces 1,800-word SaaS articles that nobody reads and nobody ranks.
Finding 4, The Table of Contents Is Functionally Extinct
0.3% of publisher pages have a Table of Contents. The advice to add a TOC for SEO has no support in the data. The vast majority of ranking pages don’t bother. If you have one, fine, but it is not earning your ranking.
FAQ section adoption is 14.8% across publishers. It is more common in some industries (Travel 19.3%, Home Services 18.9%) and rare in others (Ecommerce 4.2%). FAQ is correlated with FAQPage schema and with AI Overview citation eligibility, so it is worth including for those reasons, but the “every page needs a FAQ” advice is overstated.
Visible publish dates appear on 30.6% of publisher pages. Health (43%) and Legal (37%) lead because their queries reward freshness signals. Travel (12%) and Finance (13%) are surprisingly low. If you are publishing into a vertical where dates are rare, exposing one becomes a differentiator rather than a baseline.
Finding 5, The Top 30 Domains Reveal How Concentrated Search Is
Across 6,889 ranked positions, only a few hundred unique domains capture the majority. The fifteen most-ranked domains in our sample:
- reddit.com, 572 positions (8.3% of all ranked spots)
- youtube.com, 403 (5.9%)
- play.google.com, 245 (3.6%)
- apps.apple.com, 174 (2.5%)
- instagram.com, 125 (1.8%)
- amazon.com, 90 (1.3%)
- walmart.com, 50
- pmc.ncbi.nlm.nih.gov, 42
- facebook.com, 41
- support.google.com, 40
- google.com, 39
- aa.com, 37
- healthline.com, 33
- creditkarma.com, 30
- southwest.com, 30
The first four entries, Reddit, YouTube, Google Play, Apple App Store, collectively own 20.3% of every top-10 position we measured. Add Instagram, Amazon, Facebook, and Google’s own properties and the figure exceeds 25%.
For an independent publisher trying to rank, this is the single most important number in the report. A “top 10 ranking” in 2026 is functionally a top 7, because three of those slots are usually occupied by something you cannot directly compete with as a content writer.
What This Changes for Your Brief
Five concrete actions, each tied to a finding.
1. Audit the SERP before you write, every time
Open the SERP for your target keyword and count: how many positions are Reddit, YouTube, app stores, or social? If five of the top ten are non-publisher, you are competing for half the slots, not all of them. Adjust your expectations and angle accordingly.
2. Set word count by industry median, not competitor longest
Use the publisher medians above as the floor, not the ceiling. Health at 1,188. SaaS at 296. Cover the topical map fully, then stop. Length without coverage gain is dead weight.
3. Mirror the structure of the top three publisher results, not all ten
Forum and video results don’t share an architecture you can borrow. Filter your competitor analysis to the three highest-ranking publisher pages and use their H2 structure as your topical scaffold.
4. Add an FAQ, expose a date, skip the TOC
FAQ at 14.8% adoption is undervalued, it doubles as AI Overview citation bait via FAQPage schema. Visible publish dates at 30% are easy wins where they aren’t standard. The Table of Contents at 0.3% is not a ranking factor.
5. Pick a Reddit-defensive angle
If your keyword has Reddit in the top 10, your article needs to do something Reddit cannot. That usually means: structured comparison tables, original data, expert citation, named author with E-E-A-T evidence, or a synthesis of fragmented community advice into one definitive answer. Generic listicles will lose to forum threads in 2026.
The Brief Layer Is the Bottleneck
What this study really illustrates is that briefing has gotten harder. A defensible SEO content brief in 2026 has to incorporate live SERP composition (publisher vs forum), industry-specific structural baselines, AI Overview presence, and entity coverage gaps, before a single word is written. That is the work that BriefWorks automates: data-engineered briefs generated from live SERP analysis, competitor structure scraping, entity mapping, and AI Overview audits.
You can produce briefs of this depth manually. We did, for this study, on 1,000 keywords. It took ten hours of automated runs at concurrency 12, on infrastructure that is already paid for. To do this manually for one piece of content is a half-day. To do it on every piece your team ships is impossible.
The data above is current as of March 2026. We will refresh it quarterly. The methodology, scripts, and raw aggregations are reproducible, every claim in this article is generated from a public DataForSEO endpoint and a parser any engineering team can run.
Frequently Asked Questions
What was the sample size?
1,000 stratified keywords across 10 industries, with the top 10 organic SERP results pulled and parsed for each. 6,889 of 10,000 candidate pages returned parseable HTML.
How was the keyword sample chosen?
Five seed keywords per industry were expanded via DataForSEO’s keyword_ideas endpoint, filtered to 1,000–50,000 monthly US search volume, deduplicated, and ranked by volume. Top 100 per industry kept.
Why not include AI Overview frequency?
That study has been done at much larger scale by Ahrefs (146M SERPs), Semrush (10M keywords), and Conductor (21.9M queries). We chose content structure because, to our knowledge, no comparable public dataset of ranking page heading and word count distributions exists in 2026. For the structural decisions that determine AI Overview citation eligibility specifically, see our GEO playbook.
What counts as a “publisher”?
A traditional content site. We separated forums (Reddit, Quora), video (YouTube), app stores, social platforms, and marketplaces (Amazon, Walmart) from the publisher group because their content structure isn’t directly comparable to a written article.
Will the underlying data be released?
The aggregated summary and chart-ready JSONs are available. The per-page raw parses contain third-party page content that we don’t republish, but the methodology, both the keyword sourcing script and the structural parser, is documented in the SEO content brief guide and reproducible by any team with a DataForSEO subscription.
How often will this be updated?
Quarterly. SERPs in 2026 are volatile enough that any longer cadence would publish stale numbers. The next refresh is scheduled for August 2026.
