✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

SleekRank for ETF info pages

Pull ETF records from a market feed or fund-master sheet and let SleekRank render an indexable WordPress page per fund with ticker, issuer, expense ratio, category, and top holdings on every URL.

€50 off for the first 100 lifetime licenses!

SleekRank for ETF info pages

ETF reference pages need scale and structure

ETF coverage is a thousands-of-funds problem. The US market alone lists more than 3,000 ETFs across SPY, QQQ, VTI, VXUS, AGG, and the long tail of thematic and active funds. Each one needs ticker, issuer, expense ratio, AUM, category, benchmark, and a current view of top holdings. The data already exists in fund APIs, issuer disclosure sheets, and N-PORT filings; the WordPress pages are the missing piece.

SleekRank reads an ETF dataset on a configurable cacheDuration and renders one /etf/{slug}/ page per fund from a single base template. Top holdings become a list mapping that repeats a row per holding, expense ratio and category map in as tags, and meta descriptions update from data. New launches like a fresh thematic ETF show up on the site within hours of the source feed registering them.

Issuer-aware grouping is straightforward: build separate page groups for Vanguard, iShares, State Street, and Invesco from filtered views of the same source. Per-issuer index pages, category index pages, and a master fund catalog all share the same dataset, so an expense ratio change at the fund level propagates to every page that references that fund.

Workflow

From ETF dataset to per-fund pages

1

Connect fund feed

Point SleekRank at a fund-master CSV or REST endpoint with rows like spy-spdr-sp-500 and vti-vanguard-total-stock-market. Each row carries ticker, issuer, expense ratio, category, and a holdings array.
2

Map fund fields

Configure tag mappings for ticker, issuer, expense ratio, and category, a list mapping for top holdings with weight and ticker, and meta mappings for per-fund descriptions and OG images.
3

Build the base template

Author one WordPress page with the fund header, holdings table, and benchmark callout. Embed any chart widgets you need on the base page; SleekRank inserts the ticker via selector.
4

Cache and ship

Set cacheDuration to a few hours for active funds, flush after quarterly N-PORT updates so top holdings refresh, and let the sitemap pick up new launches as they enter the feed.

Data in, pages out

From ETF dataset to per-fund pages

One row per ETF with slug, ticker, issuer, expense ratio, and category.

Data source: REST API / CSV file
slug ticker issuer expense_ratio category
spy-spdr-sp-500 SPY State Street 0.09% Large Blend
qqq-invesco-nasdaq-100 QQQ Invesco 0.20% Large Growth
vti-vanguard-total-stock-market VTI Vanguard 0.03% Total Market
vxus-vanguard-total-international-stock VXUS Vanguard 0.07% International
agg-ishares-core-us-aggregate-bond AGG iShares 0.03% Aggregate Bond
URL pattern: /etf/{slug}/
Generated pages
  • /etf/spy-spdr-sp-500/
  • /etf/qqq-invesco-nasdaq-100/
  • /etf/vti-vanguard-total-stock-market/
  • /etf/vxus-vanguard-total-international-stock/
  • /etf/agg-ishares-core-us-aggregate-bond/

Comparison

Manual ETF pages vs. feed-driven catalog

Manual ETF reference pages

  • Thousands of US ETFs is too many to author manually
  • Expense ratios and AUM drift between source and pages
  • Top holdings change quarterly across every fund
  • Category and benchmark labels go stale
  • Per-page meta and OG tags become inconsistent
  • New ETF launches hit the site weeks after listing

SleekRank

  • One page per ETF, generated from one feed
  • Ticker, issuer, and category from columns
  • Top holdings rendered from list mappings
  • Per-fund title, meta, and OG image via mappings
  • Sitemap stays current as funds launch and close
  • Consistent /etf/{slug}/ pattern

Features

What SleekRank gives you for ETF info pages

Per-fund pages

Each ETF becomes a dedicated indexable /etf/{slug}/ page with ticker, issuer, expense ratio, AUM, and category from your dataset. The base template renders thousands of funds from one layout.

Top holdings

Use list mappings to render the top 10 holdings from an array column with weight and ticker per entry. The structure stays consistent across SPY, QQQ, VTI, and the long tail.

Issuer-aware

Group funds by issuer or category with separate page groups, all sourced from filtered views of the same dataset. Vanguard, iShares, and State Street get their own index pages automatically.

Use cases

Where ETF reference sites show up

Investing reference sites

Reference sites publish per-fund pages as the backbone for category, screener, and rebalance pages. Internal links between SPY and Large Blend index pages stay consistent across the catalog.

Brokerage affiliates

Affiliate sites publish per-fund pages tied to broker referral products. Coverage scales to the full US ETF universe without rebuilding pages on each new launch or rebalance.

Financial newsletters

Newsletters tie issues to per-fund reference pages for context and internal linking. Each weekly fund pick can deep-link to a /etf/{slug}/ page with current holdings and expense data.

The bigger picture

Why programmatic ETF coverage matters

ETF reference is a long-tail SEO play. ETF.com and ETFDB rank for thousands of branded fund queries because every ticker has its own indexable page with consistent expense ratio, category, AUM, and holdings disclosure. Searches like 'QQQ holdings' or 'VTI expense ratio' resolve to structured pages, not to a generic fund family blog post.

A WordPress site that hand-builds ETF pages can never keep up with weekly launches — the US market sees dozens of new ETFs each month, and existing funds rebalance holdings quarterly under N-PORT rules. When the dataset is the source of truth, holdings updates, expense ratio changes, and new fund launches all propagate on the next cache flush. SleekRank handles structural propagation so editors focus on category commentary and screening tools.

The per-issuer angle matters too: a Vanguard, iShares, or State Street index page that pulls from the same source stays in sync with the individual fund pages, which is something CMS-only sites struggle to maintain by hand.

Questions

Common questions about SleekRank for ETF info pages

It reads source data on a configurable cacheDuration, which is fine for AUM, expense ratio, and category since those don't change second-by-second. For real-time AUM or NAV, use a separate widget on the base page powered by your fund data API. SleekRank handles structural content like name, ticker, holdings, and benchmark; the volatile fields update client-side.

 

Store holdings as an array per row with weight, ticker, and name in each element. Then use a list mapping in the page-group config to render them as repeated items inside a holdings table on each fund page. Quarterly N-PORT updates flow through the same source on cache flush, so SPY's top 10 always reflects the most recent disclosure.

 

Yes. Build separate page groups for Vanguard, iShares, State Street, Invesco, Schwab, and others from filtered views of the same dataset. Each group has its own urlPattern like /etf/issuer/vanguard/ and shares the underlying fund data, so expense ratio changes propagate to both the fund page and the issuer index.

 

Filter by status in the source feed or remove the row entirely. The page falls out of the sitemap on the next regeneration. If you want to keep historical URLs alive for SEO, leave the row, set a 'closed' flag, and adjust the template to render a wind-down notice with links to similar funds in the same category.

 

If your source includes a history array, map it into the page through a list mapping that repeats a row per change. Otherwise, link out to the prospectus and keep the page focused on the current expense ratio. Most ETF reference sites take the latter approach because expense changes are rare and easier to handle as one-off content updates.

 

Yes. Pair SleekRank with SleekPixel to generate per-fund OG images from a template that includes the ticker, issuer, and category. The OG URL maps into the meta tag through SleekRank's meta mapping, so social previews look branded and consistent across the entire ETF catalog.

 

Add a 'leverage' or 'fund_type' column to the source and use it in the template to render risk warnings or compliance language. Building a separate page group for leveraged products with its own template and URL pattern like /etf/leveraged/ is also a clean approach if you want different disclosure copy from vanilla index funds.

 

If your data source includes Morningstar-style ratings, ESG scores, or in-house analyst notes, add them as columns and map them in. Rating updates flow on cache flush, and the same column structure works whether you license third-party data or maintain ratings internally with your own methodology.

 

Pricing

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