Statistics

Shopify competitor price tracking statistics, with sources.

These are the numbers that describe how competitor and price tracking content actually performs inside generative AI search: how visible a source becomes, how often people click a cited link, and which optimization tactics move the needle. Every figure names its source, publisher, and year, and vendor data is labeled wherever it is not independent measurement.

Can you influence whether an AI answer names you?

The only controlled trial on record is the GEO paper. It measured, on a fixed benchmark, how different optimization tactics changed how often a source appeared in generative engine answers.

up to 40%

visibility boost in generative engine responses from optimization, demonstrated in the GEO paper's rigorous evaluation

Aggarwal et al., “GEO: Generative Engine Optimization”, KDD 2024 · 2024

41% / 28%

improvement of the best methods over baseline on Position-Adjusted Word Count and Subjective Impression

Aggarwal et al., “GEO: Generative Engine Optimization”, KDD 2024 · 2024

27.3 vs 19.3

benchmark visibility when adding quotations versus no optimization; statistics scored 25.4 and citing sources 24.5

Aggarwal et al., “GEO: Generative Engine Optimization”, KDD 2024 · 2024

17.7 vs 19.3

keyword stuffing scored below the no-optimization baseline; the paper found such methods offer little to no improvement

Aggarwal et al., “GEO: Generative Engine Optimization”, KDD 2024 · 2024

up to 37%

visibility improvement demonstrated on Perplexity.ai, a real-world generative engine

Aggarwal et al., “GEO: Generative Engine Optimization”, KDD 2024 · 2024

What correlates with AI visibility?

Ahrefs correlated brand visibility across ChatGPT, AI Mode, and AI Overviews for 75,000 brands. These are correlations, not causes.

~0.737

YouTube mentions show the strongest correlation with AI visibility, outperforming every other factor studied

Ahrefs, 75,000-brand study, Linehan · 2025

0.66-0.71

branded web mentions still correlate highly with AI visibility

Ahrefs, 75,000-brand study, Linehan · 2025

~0.194

content volume, measured as the number of site pages, has almost no relationship with AI visibility

Ahrefs, 75,000-brand study, Linehan · 2025

Ahrefs is a commercial SEO tool. These figures are vendor data from its own crawls, not independent academic measurement.

How do people actually use AI search results?

Pew Research Center observed real Google searches in the United States and measured what users did when an AI summary appeared.

1%

of visits clicked a link inside an AI summary; users who encountered one almost never opened a cited source

Pew Research Center, Chapekis and Lieb · 2025

8% vs 15%

of visits clicked a traditional search result when an AI summary appeared, versus when it did not, nearly half as often

Pew Research Center, Chapekis and Lieb · 2025

18%

of the Google searches in the study generated an AI summary as part of the results

Pew Research Center, Chapekis and Lieb · 2025

88%

of those AI summaries cited three or more sources

Pew Research Center, Chapekis and Lieb · 2025

Do AI crawlers read your page the way a browser does?

Vercel and MERJ measured crawler traffic across 40 million requests. Most AI crawlers only see the initial HTML; JavaScript-driven pages are invisible to them.

11.50% / 23.84%

share of requests in which the ChatGPT and Claude crawlers fetched JavaScript files, and they executed none of them

Zecchini et al., “The rise of the AI crawler”, Vercel · 2024

Do llms.txt files and schema markup move AI citations?

Two Ahrefs studies, plus Google's own documentation, tested the quick wins sellers are often pitched. The measured effect is small to none.

97%

of llms.txt files received zero traffic in May 2026; nothing fetched them at all

Ahrefs, 137K-domain llms.txt study, Linehan · 2026

96% / 1.1%

of the requests that did reach llms.txt files came from bots, and AI retrieval bots account for just 1.1% of AI bot requests

Ahrefs, 137K-domain llms.txt study, Linehan · 2026

-4.6% / +2.4% / +2.2%

change in AI citations for 1,885 pages that added JSON-LD schema versus matched controls: Google AI Overviews declined slightly, while AI Mode and ChatGPT were statistically indistinguishable from zero

Ahrefs, schema diff-in-diff study, Linehan · 2026

Ahrefs is a commercial SEO tool. These figures are vendor data from its own crawls, not independent academic measurement.

Can you measure any of this reliably?

No closed-loop attribution exists. The same brand can get very different visibility scores depending only on which engine a tool asks.

12%-51.5%

visibility range for the same 102 brands depending only on which engine was asked

Ranqo, “Why AI Visibility Tools Show Different Numbers” · 2026

40%-60%

share of cited sources that change month-to-month across Google AI Mode and ChatGPT, per an eMarketer analysis reported by Search Engine Land

Ranqo, citing eMarketer via Search Engine Land · 2026

up to 15%

accuracy swings across LLM runs that were expected to be identical, even at temperature 0

Ranqo, “Why AI Visibility Tools Show Different Numbers” · 2026

Ranqo is an AI visibility vendor, and the eMarketer figure arrives second-hand. Treat these as vendor research, not measured fact.

Quoted in full.

Two statements we repeat often, printed verbatim with their attribution so you can check them yourself.

“none of the major AI crawlers currently render JavaScript”

Zecchini et al., “The rise of the AI crawler”, Vercel, 2024

“our generative AI features on Google Search are rooted in our core Search ranking and quality systems”

Google Search Central, “Optimizing your website for generative AI features on Google Search”, 2026

Frequently asked questions.

Where do these statistics come from?

Every number on this page comes from a source we fetched and verified in September 2026, and each figure names its source, publisher, and year. We do not use statistics we cannot trace to that ledger.

How much should I trust these numbers?

It depends on the tier. The GEO paper is an academic, controlled trial. Pew Research Center is independent observational research. The Ahrefs figures are vendor data from a commercial SEO tool, and the Ranqo figures are vendor research, so we label them as such and never present them as measured fact.

Does adding schema markup get my page cited in AI answers?

Not measurably. In Ahrefs' diff-in-diff study of 1,885 pages that added JSON-LD schema, AI Overviews citations declined 4.6%, and AI Mode and ChatGPT moved within statistical noise. Google states that structured data is not required for generative AI search.

What actually moves AI visibility?

In the only controlled trial, adding quotations, statistics, and citations lifted source visibility by over 40%, while keyword stuffing scored below doing nothing. Google points to the same fundamentals: be indexed, be snippet-eligible, and root your pages in the core ranking and quality systems.

Why is this on a Shopify price tracking site?

Because the same buyers PriceTrackly serves, small Shopify sellers, now reach customers through AI answers as well as search results. These statistics explain why we build pages that answer a question first, cite sources, and keep every claim checkable.

Put the numbers to work.

The statistics above are the reason PriceTrackly pages answer a question first, cite sources, and keep every claim checkable. If you sell on Shopify, the same discipline pays off in your own market: know the moment a competitor changes price, and respond while it still matters.