Programmatic SEO examples: 50 real page sets live in 2026

What is programmatic SEO?

Programmatic SEO is a way to build many pages from one page template and one dataset. Each row in the data becomes a page, and each page targets one search, like "USD to EUR", "things to do in Lisbon" or "Gmail Slack integration".

It works when the data gives every page something real: a live rate, a list of homes, a set of reviews, a spec sheet. It fails when the only thing that changes is a keyword. Google calls that second kind "scaled content abuse" (more on that below).

A programmatic page has three parts:

1. A pattern people search. A head term plus a variable: "{city} cost of living", "{app} alternatives".
2. A dataset with one row per page. Prices, listings, reviews, specs, scores.
3. A template that answers the search. The answer sits at the top, filled from that row.

50 programmatic SEO examples, by pattern

We grouped the 50 by the kind of page they build. For every site we also loaded two more pages from the same template, so you know the page set is real and not a one-off. Some sites (Make, AlternativeTo, Product Hunt, G2, Tripadvisor, Canva) block scripts; for those we read the page with a fetch tool or confirmed it in the search index.

Integration pages (6)

One page per app, or per pair of apps. People search "connect X to Y" and "X Y integration".

Location pages (12)

One page per city, region or route. People add a place to almost any search: "things to do in Lisbon", "homes for sale Austin". How to build them well: programmatic SEO location pages.

Comparison and alternatives pages (5)

One page per product, or per pair of products. People search "X alternatives" and "X vs Y" right before they choose.

Template pages (7)

One page per template, or per template type. People search "{thing} template" when they want to start fast.

Converter and calculator pages (6)

One page per conversion or calculation. The searcher wants a number, now.

Directory and data profile pages (10)

One page per thing in a database: a stock, a job, a company, a feature, a book genre.

Glossary and dictionary pages (4)

One page per word or term. People search "{word} meaning" and "another word for {word}".

The PDF adds, for each of the 50: the data source behind the page, why it works, the two sibling pages we checked, and the public page count when the site states one.

What the best examples have in common

Look at three pages from any site above and you will see the same four traits:

• The changing part is data, not words. Kayak's route titles carry a fare ($239 New York to London when we checked). Thesaurus.com titles carry a count ("HAPPY Synonyms & Antonyms - 164 words"). Numbeo puts the month in the title.
• The data is first-party or user-made. Speedtest uses its own test results. Levels.fyi, Goodreads and AlternativeTo get their data from users, so new pages fill themselves.
• One URL per combination. Pipedream sends github/integrations/discord to discord/integrations/github, so the two orders never compete.
• Empty combinations do not get a page. Zapier, Make and n8n only publish pairs that actually connect.

What Google enforced in March 2026 (and what it did not)

There was no separate March 2026 crackdown on scaled content on record. Here is what Google's Search Status Dashboard shows:

The rule that matters is the March 2024 policy. Google's spam policies page (updated August 28, 2026) defines it: "Scaled content abuse is when many pages are generated for the primary purpose of manipulating search rankings and not helping users." Its examples include generating many pages with AI "without adding value for users", scraping or rewording other content, and pages that "make little or no sense to a reader but contain search keywords." Google did not publish a list of sites hit in March 2026, and we do not guess at one. More in our page on scaled content abuse.

A quick pass/fail test for your template

Run one finished page through these five checks. The full 17-point version is in the PDF.

• Unique data: the page shows at least one fact that is on no other page of your site.
• Demand: most of 10 random rows show searches in a keyword tool or impressions in Search Console.
• Intent: Google a sample query; the top results are the same kind of page as yours.
• No thin pages: rows with empty data are not published, or are set to noindex.
• Indexing control: one canonical URL per combination, a hub page links to every page, sitemaps list only indexable URLs (each file under 50,000 URLs, per Google).

If you want to build page sets from your own data, see how SEOmatic builds programmatic pages from your own template.

Use SEOmatic to find the right programmatic SEO pattern for mysite.com, based on the guide "50 programmatic SEO examples" (patterns: integrations, locations, comparisons, templates, converters, directories, glossary).

1. Run check_site on mysite.com and tell me if Google can index the site. Fix-first items go at the top.
2. Run connect_seomatic so you can read my Google Search Console data.
3. Use site_pages with action inventory [get_site_inventory] to list my pages, and group them by URL folder.
4. Use gsc_performance with action top_pages [get_top_pages] and action folder_rollup to see which page groups already get impressions and clicks.
5. Use gsc_insights with action cannibalization to check that pages in the same group are not competing for the same queries.
6. Use gsc_indexing with action batch_inspect [batch_inspect_urls] on up to 20 pages from my largest page group, and tell me how many are indexed vs "Crawled - currently not indexed".
7. Tell me which one of the 7 patterns fits data I already own, and which one of my own pages is the best model. Explain why in plain words.
8. Use keyword_research with action metrics on 10 sample queries for that pattern, and tell me which have real demand.
9. If I agree, use campaign_manage with action propose_page_scale (or propose_location_pages for city or clinic pages), built on my model page, to stage a small first batch for my approval. Only include rows that have real data.
10. Run show_approval_cards so I can review each page. Do not publish anything without my approval.