Only 3% of Marketing Tool Pages Have a Real Comparison Table

For the surrounding account decisions, compare the full benchmark.

In short

Across 132 pages from twelve advertising tools, 3.0% carried a real comparison table — four pages. Tied with load-bearing freshness, it is the lowest pass rate of any of the seventeen checks, and it sits on a check weighted 8 out of a possible 13.

Why this specific gap is expensive

Comparison queries are where buying decisions are made. “X vs Y”, “alternatives to X”, “is X or Y better for Z” — these are asked by people who have already decided to buy something and are choosing between options. They are the last query before a purchase.

When an assistant answers one, it needs to produce a structured comparison. If the only source available is four paragraphs of prose arguing that one tool is better, the assistant must either synthesise a table from unstructured claims — slowly, and with the risk of getting it wrong — or reach for a source that already has one. A page with a real table is dramatically cheaper to quote.

At 3.0% coverage, the tool that publishes real tables is competing against almost nobody.

What fails the check, and why it looks fine to a human

The check asks for genuine table semantics — a header row, data rows, cells. Three common patterns fail it while looking entirely correct on screen:

Prose comparison. “Where Tool A charges per seat, Tool B charges per account, which suits smaller teams.” A human reads a comparison. A parser reads a sentence.

Images of tables. A designed graphic showing a feature matrix. Invisible to text extraction, and the alt text almost never reproduces the cells.

Styled containers. Grids of divs laid out to look like a table with CSS. This is the most common failure in modern component-based sites, and the most invisible, because it renders identically to a table and carries none of the meaning.

Our own corpus passes this check on 53.3% of posts — far ahead of the industry’s 3.0%, and still a minority of our own pages. It is not a solved problem here either.

The cheap version of the fix

You do not need a comparison table on every page. You need one on every page that answers a comparison question, which is a much smaller set and is usually identifiable from the title alone.

Three rules cover most of it:

1. If the title contains “vs”, “versus”, “alternatives” or “compared”, the page owes the reader a table. No exceptions for pages where the answer is nuanced — nuance goes in the prose underneath.
2. Include a column that is not a feature. “Why it matters” or “who this suits” turns a specification list into something with an argument in it, which is what gets quoted.
3. Put the honest row in. A comparison table where every row favours you is read as marketing by humans and weighted accordingly by assistants. The rows where a competitor genuinely wins are what make the rest credible.

What the rest of the category is doing instead

The same sample shows where the effort went. 43.9% of pages carry ImageObject markup and 39.4% carry Organization — both CMS defaults. Only 6.1% carry FAQPage and 0.8% carry HowTo. The investment has gone into pages looking right rather than parsing right, which is a reasonable place to have been in 2020 and an expensive one now.

Interpretation boundary

Three per cent is four pages out of 132, and a sample of 3 to 12 pages per tool cannot tell you that any specific vendor never publishes tables — only that the practice is rare across the category. The check also tests structure, not accuracy: a real table full of wrong figures passes. Treat it as a floor requirement for being quotable in comparison answers, not as evidence that the comparison is any good.

Can software help?

Bach.ai audits your connected Meta account, estimates the revenue impact of what it finds, and proposes specific fixes. It applies a change only after you approve it. Think of it as an automated audit layer that surfaces issues and proposed fixes for your review — not a replacement for your team’s judgment, and creative production is not its core job, though the Pro and Agency plans can generate a limited number of variants.

FAQ

How many marketing sites use comparison tables?

3.0% of the 132 pages we measured in September 2026 — four pages. It ties with load-bearing freshness signals as the lowest pass rate among seventeen extractability checks.

Why do comparison tables matter for AI search?

Comparison queries are the last thing a buyer asks before choosing. An assistant answering one needs structured data; a page that already has a table is far cheaper to quote than four paragraphs of prose it must synthesise a table from.

Why does my comparison table fail an extractability check?

Usually because it is not a table. Grids of styled divs, designed images of feature matrices, and prose comparisons all render correctly to a human and carry no table semantics for a parser to read.

Should every page have a comparison table?

No — only pages that answer a comparison question, which you can usually spot from the title. If it contains vs, versus, alternatives or compared, the page owes the reader a table, with at least one column that carries an argument rather than a specification.

Method and sources

“Four out of 132 pages we measured in September 2026 — just 3.0%.”

Source: the Bach.ai AI Extractability Benchmark, run 2026-09-22. Sample: 132 pages returning HTTP 200, drawn from the published sitemaps of 12 advertising and analytics tools, plus our own 392 published posts. Every page was rendered in a headless browser and scored by the same 17-check engine the product runs against customer sites, so each figure is reproducible against the live web rather than asserted. Read the per-check rates as an industry signal, not a precise ranking of any one vendor: between 3 and 12 pages were sampled per tool, spread across the whole sitemap rather than drawn from the newest posts. The method is written up in full at how we measure AI extractability.