# Optimises existing content: a census of 118 listings

> Source: CitedIndex — https://citedindex.com/blog/optimises-content-census (sourced research)
> By CitedIndex Editorial · Published 2026-09-20 · Updated 2026-10-03

_87 of 118 listings answer yes for “Optimises existing content”. Counted from our own datasheet, with the query that reproduces every figure._

## Optimises existing content, across 118 settled listings

Of the 118 Published listings whose datasheet settles “Optimises existing content”, the largest group is “Yes” at 87 (74%). Measured 2026-10-03.

| Listings | Count | Share of 118 |
| --- | --- | --- |
| Yes | 87 | 74% |
| Qualified | 25 | 21% |
| No | 6 | 5% |

Denominator: 118 Published listings whose datasheet settles “Optimises existing content”. Method: Counted from the stored datasheet answer for “Optimises existing content” across every Published listing, all of which have a recognised stored answer on that row.

## The population

118 listings in this index are Published. This is the population as of 2026-10-03. 118 of the 118 published listings in this index carry a settled answer for “Optimises existing content”. That row asks: Does it analyse pages you already have and say what to change? Every listing in the index is settled on this row, so nothing is left out.

## Findings

1. 87 of the 118 settled listings answer “Yes” for “Optimises existing content”. That is 74% of the settled set.

2. 25 of the 118 settled listings answer “Qualified” for “Optimises existing content”. That is 21% of the settled set.

3. 6 of the 118 settled listings answer “No” for “Optimises existing content”. That is 5% of the settled set.

1 of those yes answers is Emergine, which still answers yes for “Optimises existing content”. Its [listing](/emergine) carries the stored answer and links to [the source recorded for it](https://emergine.ai/blog/emergine-vs-otterly-ai-visibility-tool-comparison/). This is one worked example, not an independent audit of every source in the census.

## What we counted, and how

Each figure above is a count over the “Optimises existing content” row of the listing datasheet, taken from the same stored answer the listing page renders. The denominator is the 118 listings whose answer is settled, meaning one of yes, qualified, no, does not apply, not established. On this row that is the whole index, because every listing has a recognised stored answer. Every number here is stored with the read-only query that reproduces it and re-run every sixty seconds against the live corpus, so a figure that stops reproducing surfaces as drift rather than as a stale sentence nobody notices. Our full method covers how a datasheet row is settled in the first place.

## Limitations

This counts stored datasheet answers, not independently tested capabilities. A sourced answer can record a vendor statement or our reading of published evidence; this census does not re-fetch those sources. “Not established” means we have not established an answer. That can reflect vendor nondisclosure, blocked evidence, or unfinished research, not a no. An absent or unrecognised answer is excluded rather than treated as a researched finding. The figures are restated when the stored corpus changes; the date above is the count used for this published version, not a new verification of the vendors.

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Tags: data-report, census