Etsy AI Visibility Market Strategy Report - Make Money Online

Mark HuntleyBy Mark HuntleyFounder and CEO
13 minutes read

Key Takeaways

  • Etsy appears in about three in ten qualified AI responses, but its top-three and rank-one placement rates are much lower.
  • The brand’s sentiment is strong, with 100 positive mentions and no negative mentions across 109 total mentions.
  • Google AI Overviews is Etsy’s strongest platform for recommendation placement, while Copilot shows the clearest gap.
  • The main opportunity is improving conversion from mention to recommendation in high-intent brand recommendation prompts.

Answer Capsule

Etsy holds a visible but under-recommended position in the Make Money Online category for October 2026, with valid recommendation coverage of 27.84% against a raw mention presence rate of 30.97%. The benchmark shows Etsy is mentioned in AI answers at a moderate rate but converts those mentions into valid recommendations less often than the category leaders. Its clearest win is a strong positive sentiment profile with zero negative mentions across 352 qualified observations. Its clearest weakness is a rank-one rate of just 1.42%, meaning AI systems rarely place Etsy first when buyers ask for a recommendation. The clearest opportunity is closing the gap between presence and recommendation placement in the Brand Recommendation cluster.

Who This Report Is For

This report is for Etsy's marketing, SEO, and category strategy teams, and for marketplace and e-commerce leaders who need to understand how AI systems position Etsy against Upwork, Fiverr, Swagbucks, and other platforms when buyers ask for money-making recommendations.

Report Card

Field

Value

Report type

AI Visibility Company Market Strategy Report

Target company

Etsy

Category / market studied

Make Money Online

Reporting month

October 2026

AI platforms tracked

6 (ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, Google AI Mode)

Public high-intent clusters

1 with qualified data (Brand Recommendation)

AI observations analyzed

352 qualified observations from 800 source prompt-surface observations

Competitors tracked

9

Executive Summary

Etsy is visible in AI-generated recommendations for the Make Money Online category but is not converting that visibility into recommendation-stage strength at the rate the category leaders achieve. The benchmark shows Etsy with a raw mention presence rate of 30.97% in October 2026, meaning the brand appears in roughly three of every ten qualified AI responses. Its valid recommendation coverage sits at 27.84%, a gap of 3.13 percentage points between being mentioned and being recommended.

The analysis found Etsy received 98 valid recommendations across 352 qualified observations, with 38 top-three placements and only 5 rank-one placements. Etsy's top-three rate of 10.80% and rank-one rate of 1.42% place it sixth in the ten-brand competitive set by top-three rate, ahead of InboxDollars, Amazon, and Shopify POS, and behind TaskRabbit, Survey Junkie, and Rover.

Etsy's strongest signal is its sentiment profile. The dataset marked 100 positive mentions, 9 neutral mentions, and zero negative mentions, producing a net sentiment score of 0.9174. This is among the highest in the category and indicates that when AI systems do mention Etsy, the framing is overwhelmingly favorable. The absence of negative framing is a meaningful asset.

The weakest cluster signal is structural. All 352 qualified observations fell into the Brand Recommendation cluster. The benchmark does not yet contain qualified observations in Pricing and Value or Multi-Brand Comparison clusters, so Etsy's performance in cost-focused or head-to-head comparison prompts cannot be assessed from this dataset.

Etsy's strongest platform signal is Google AI Overviews, where it holds a valid recommendation coverage of 29.85% and a top-three rate of 19.40%. Its weakest platform signal is Copilot, where it received 18 mentions but zero top-three placements and zero rank-one placements, producing a valid recommendation coverage of 26.42% with no recommendation placement credit.

The clearest platform gap is Copilot. Etsy appears in Copilot responses but is never placed in the top three. This suggests AI systems surface Etsy as context or as a listed option rather than as a recommended choice on that platform. The clearest cluster gap is the absence of qualified data in comparison and pricing prompts, which means Etsy's competitive positioning in those high-intent scenarios is unmeasured.

What Etsy Is Winning

Questions This Section Answers

  • How does Etsy's sentiment compare to the category leaders?
  • Which platform gives Etsy its strongest recommendation placement?
  • How much of Etsy's visibility comes from positive mentions?

Etsy's strongest evidence-backed win is its sentiment and framing quality. Across 109 total mentions in October 2026, Etsy recorded 100 positive mentions, 9 neutral mentions, and zero negative mentions. This produces a net sentiment score of 0.9174, which is the third-highest among the ten tracked brands, behind Rover at 0.9792 and TaskRabbit at 0.9721, and ahead of Fiverr at 0.9614 and Upwork at 0.9673.

Etsy's second win is its Google AI Overviews performance. On that platform, Etsy holds a valid recommendation coverage of 29.85%, a top-three rate of 19.40%, and an average recommended rank of 2.71. This is Etsy's strongest platform by recommendation placement and suggests that Google's AI-generated overviews are more likely to position Etsy as a recommended option than other platforms.

Etsy's third win is its positive visibility rate of 28.41%, which means that in more than a quarter of all qualified observations, Etsy received a positive mention. This is higher than Amazon at 21.31% and Shopify POS at 1.99%, though it trails the category leaders.

Etsy does not have a dominant position in any cluster or platform. Its wins are meaningful but narrow, and the brand remains a mid-tier presence in the category rather than a recommendation leader.

Where Etsy Has the Clearest AI Visibility Gaps

Questions This Section Answers

  • Why does Etsy's recommendation coverage trail its mention presence rate?
  • On which platform does Etsy receive zero top-three placements?
  • What high-intent clusters are missing from the benchmark for Etsy?

Etsy's clearest gap is recommendation conversion. The benchmark shows Etsy with a raw mention presence rate of 30.97% but a valid recommendation coverage of 27.84%. This means that in a portion of cases where Etsy is mentioned, it does not receive valid recommendation credit. More importantly, Etsy's top-three rate of 10.80% and rank-one rate of 1.42% show that even when Etsy is recommended, it is rarely placed in the top three and almost never placed first.

The comparison to Upwork is instructive. Upwork holds a raw mention presence rate of 78.12% and a valid recommendation coverage of 72.73%, with a top-three rate of 38.07% and a rank-one rate of 25.57%. Upwork converts mentions into recommendations at a much higher rate and is placed first in more than a quarter of all qualified observations. Etsy is placed first in 1.42% of observations. The gap is not about presence; it is about recommendation placement.

Etsy's Copilot performance is a specific platform gap. On Copilot, Etsy received 18 mentions but zero top-three placements and zero rank-one placements. Its valid recommendation coverage on Copilot is 26.42%, but its top-three rate is 0.00%. This means Copilot surfaces Etsy as a mentioned option but never places it in the top three recommended choices. By contrast, Fiverr holds a low but non-zero top-three rate on Copilot, and Upwork holds 3.77%.

Etsy's weakest platform by recommendation placement is Copilot, followed by Perplexity, where it holds a top-three rate of 9.26% and a rank-one rate of 1.85%. Its strongest platform by placement is Google AI Overviews, where it holds a top-three rate of 19.40%.

The benchmark does not contain qualified observations in Pricing and Value or Multi-Brand Comparison clusters, so Etsy's performance in those high-intent scenarios is unmeasured. This is a data gap, not a confirmed weakness, but it means the current benchmark cannot show how Etsy fares when buyers explicitly compare options or evaluate cost.

Biggest Opportunity

Questions This Section Answers

  • Which platform offers the clearest opportunity to convert Etsy mentions into top-three placements?
  • What prompt types in the Brand Recommendation cluster matter most for Etsy's placement?

Etsy's biggest opportunity is closing the gap between mention presence and recommendation placement in the Brand Recommendation cluster. The benchmark shows Etsy is mentioned in 30.97% of qualified observations but receives a top-three placement in only 10.80% and a rank-one placement in only 1.42%. The path from reference to recommendation is the clearest opportunity.

This opportunity is specific to the prompts and platforms where Etsy is already visible but not placed. On Copilot, Etsy is mentioned 18 times but never placed in the top three. On Perplexity, Etsy is mentioned 7 times and placed in the top three 5 times, a conversion rate of 71.43%. On Google AI Overviews, Etsy is mentioned 23 times and placed in the top three 13 times, a conversion rate of 56.52%. The Copilot gap is the clearest target.

The opportunity is also tied to the prompt types in the Brand Recommendation cluster. The cluster prompt examples include questions such as "What apps pay $100 a day legit?", "What are some legit surveys for money?", and "What is the best legit survey site?" These are high-intent prompts where buyers are asking for a specific recommendation. Etsy's ability to convert mentions into top-three placements in these prompts is the clearest path to improving its recommendation-stage visibility.

Competitive Landscape

Questions This Section Answers

  • Where does Etsy rank by top-three rate among the ten tracked brands?
  • How does Etsy's average recommended rank compare to its top-three and rank-one rates?
  • Which competitors lead the category in recommendation-stage visibility?

Upwork and Fiverr hold the strongest recommendation-stage positions in the Make Money Online category for October 2026, with Upwork leading at a 38.07% top-three rate and a 25.57% rank-one rate. Etsy sits in sixth place by top-three rate, behind TaskRabbit, Survey Junkie, and Rover, and ahead of InboxDollars, Amazon, and Shopify POS.

Brand

Top-3 rate

Rank-1 rate

Avg recommended rank

Sentiment

Upwork

38.07%

25.57%

1.72

0.9673

Fiverr

35.23%

11.08%

1.93

0.9614

Swagbucks

23.30%

12.22%

2.55

0.8912

TaskRabbit

18.47%

3.98%

2.81

0.9721

Survey Junkie (Acquiring Company: DISQO, Inc.)

12.50%

3.69%

2.77

0.9116

Etsy

10.80%

1.42%

2.73

0.9174

InboxDollars

9.66%

2.27%

3.26

0.9052

Rover

7.39%

1.14%

3.48

0.9792

Amazon

4.26%

1.14%

3.09

0.5522

Shopify POS

1.14%

0.28%

2.50

0.7000

Average recommended rank covers rank-eligible recommendations only.

Etsy's top-three rate of 10.80% places it in the lower-middle of the competitive set, and its rank-one rate of 1.42% is the second-lowest among brands with any rank-one placements, ahead of only Shopify POS at 0.28%. Etsy's average recommended rank of 2.73 is competitive with TaskRabbit at 2.81 and Survey Junkie at 2.77, suggesting that when Etsy is placed, it is placed reasonably high. The gap is in the frequency of placement, not the quality of placement.

Prompt Evidence

Google AI Overviews / Brand Recommendation Prompt: "What are some legit surveys for money?" Result: Etsy received a top-three placement on Google AI Overviews, contributing to its 19.40% top-three rate on that platform.

Copilot / Brand Recommendation Prompt: "What is the best legit survey site?" Result: Etsy was mentioned in the Copilot response but did not receive a top-three placement, consistent with its 0.00% top-three rate on Copilot.

Perplexity / Brand Recommendation Prompt: "What is the best survey site to make money?" Result: Etsy received a valid recommendation on Perplexity, where it holds a 9.26% top-three rate and a 1.85% rank-one rate.

ChatGPT / Brand Recommendation Prompt: "What apps pay $100 a day legit?" Result: Etsy was mentioned in the ChatGPT response but received no rank-one placement, consistent with its 0.00% rank-one rate on ChatGPT.

What CiteWorks Studio Would Do Next

Phase 1: AI Visibility Market Discovery Audit Map Etsy's prompt-level visibility across all six tracked platforms, identifying the specific prompts where Etsy is mentioned but not placed in the top three, with particular focus on Copilot and Perplexity.

Phase 2: Recommendation Readiness Plan Prioritize the prompts and platforms where Etsy's mention-to-recommendation conversion is weakest, and define the content, citation, and framing changes needed to move Etsy from a mentioned option to a recommended choice.

Phase 3: Owned Answer Layer Buildout Develop Etsy-owned content that directly addresses the high-intent Brand Recommendation prompts in the benchmark, ensuring AI systems can retrieve clear, structured answers about Etsy's value proposition for money-making use cases.

Phase 4: Citation / Authority Layer Development Strengthen the public evidence layer by building citations on the domains AI systems already retrieve from, including editorial, community, and consumer-finance sources that appear in the benchmark's top-cited domains.

Phase 5: Monthly AI Visibility and Recommendation Tracking Track Etsy's top-three rate, rank-one rate, and sentiment score month over month across all six platforms, with a focus on closing the gap between mention presence and recommendation placement.

Why This Matters

AI presence alone is not enough. Etsy is mentioned in nearly a third of qualified AI responses for the Make Money Online category, but it is placed in the top three in only 10.80% of those responses and placed first in only 1.42%. The gap between being mentioned and being recommended is where buyer choice is formed. When a buyer asks an AI system for the best survey site or the most legit money-making app, Etsy's mention without a top-three placement means the brand is visible but not chosen.

The next move is targeted correction of the prompt, page, and citation layers. Etsy's sentiment profile is strong, with zero negative mentions and a net sentiment score of 0.9174. The framing is not the problem. The problem is placement. The benchmark shows Etsy is mentioned but not placed in the top three on Copilot, and its rank-one rate across all platforms is 1.42%. Correcting this requires understanding which prompts and platforms are converting mentions into recommendations and which are not, then building the owned answer layer and citation support to close that gap.

Core Metrics

Metric

Value

Mentions

109

Valid recommendations

98

Top 3 recommendation count

38

Rank #1 recommendation count

5

Average recommended rank

2.73

Positive mentions

100

Neutral mentions

9

Negative mentions

0

Raw mention presence rate

30.97%

Valid recommendation coverage

27.84%

Top 3 recommendation rate

10.80%

Rank #1 recommendation rate

1.42%

Net sentiment score

0.9174

Strongest cluster by recommendation behavior

Brand Recommendation

Strongest platform by recommendation behavior

Google AI Overviews

Sentiment Score

Questions This Section Answers

  • How is Etsy's net sentiment score calculated for October 2026?
  • Why doesn't Etsy's strong sentiment translate into higher recommendation placement?

Sentiment Score = (positive mentions × 1 + neutral mentions × 0 + negative mentions × -1) / total mentions

For Etsy in October 2026: (100 × 1 + 9 × 0 + 0 × -1) / 109 = 100 / 109 = 0.9174.

This score matters because unclassified mention counts are misleading. A brand that is mentioned frequently but framed negatively is not in a strong position. A brand that is mentioned less often but framed positively may be better positioned for recommendation. Etsy's sentiment score of 0.9174 indicates that when AI systems mention Etsy, the framing is overwhelmingly positive. There are zero negative mentions in the dataset.

Share of voice is a diagnostic metric, not a business KPI. A positive recommendation, a neutral reference, a cautionary mention, and a competitor-displaced mention are not equal. Etsy's 109 mentions include 100 positive mentions and 9 neutral mentions. None are negative. This is a strong framing profile. However, sentiment alone does not drive recommendation placement. Etsy's top-three rate of 10.80% and rank-one rate of 1.42% show that positive framing is not converting into top placement at the rate the category leaders achieve.

Counting all mentions as wins is bad measurement. Etsy's raw mention presence rate of 30.97% is higher than its valid recommendation coverage of 27.84%, and its top-three rate of 10.80% is much lower. Classified sentiment is required before interpreting AI visibility, and Etsy's classified sentiment is strong. The next step is understanding why that strong sentiment is not producing stronger recommendation placement.

Sentiment by Platform

Platform

Mentions

Positive

Neutral

Negative

Sentiment Score

Readout

ChatGPT

11

9

2

0

0.8182

Present, but not recommendation-led

Copilot

18

16

2

0

0.8889

Present as context, not recommendation

Gemini

18

18

0

0

1.0000

Positive, but sample too small

Perplexity

7

7

0

0

1.0000

Positive, but sample too small

Google AI Overviews

23

20

3

0

0.8696

Strongest public recommendation signal

Google AI Mode

32

30

2

0

0.9375

Present, but not recommendation-led

Methodology

  1. This report is a benchmark-based analysis of Etsy's AI visibility and recommendation performance in the Make Money Online category for October 2026. It is not a client implementation case study.
  2. The reporting window is October 2026, with comparisons to the July 2026 baseline where available.
  3. Six AI platforms were tracked: ChatGPT, Copilot, Gemini, Perplexity, Google AI Overviews, and Google AI Mode.
  4. The benchmark began with 800 source prompt-surface observations in October 2026. After deduplication, 606 unique questions were identified. Of those, 390 were relevant to the category and 410 were irrelevant, yielding 352 qualified observations.
  5. The competitor universe includes ten tracked brands: Amazon, Etsy, Fiverr, InboxDollars, Rover, Shopify POS, Survey Junkie (Acquiring Company: DISQO, Inc.), Swagbucks, TaskRabbit, and Upwork.
  6. All 352 qualified observations fell into the Brand Recommendation cluster. No qualified observations were recorded in the Pricing and Value or Multi-Brand Comparison clusters.
  7. A mention is defined as any appearance of the brand in an AI response, regardless of whether the brand is recommended. A valid recommendation is defined as a positive recommendation with a rank between 1 and 10. Negative, neutral, cautionary, comparison-anchor, and listed-only mentions are not counted as valid recommendations.
  8. The top-three rate is the share of qualified observations where the brand appears among the top three recommended options. The rank-one rate is the share of qualified observations where the brand is the single top recommendation.
  9. Average recommended rank covers rank-eligible recommendations only. Etsy's average recommended rank of 2.73 is based on 38 top-three placements and 44 top-ten placements.
  10. The benchmark does not measure market share, sales attribution, organic-search ranking positions, social mention volume, or causality from metric movement alone.
  11. The qualified observation count for October 2026 is 352, the lowest in the four-month series. The category recorded no significant decliners against the July 2026 baseline, and seven brands rose significantly.
  12. The benchmark's top-cited domains include youtube.com, reddit.com, google.com, nerdwallet.com, printify.com, indeed.com, medium.com, finder.com, moneylion.com, and sidehustlenation.com. None of the tracked brands' own domains appear in the top ten.

See How AI Is Recommending Your Brand

The public benchmark shows where Etsy stands in AI-generated recommendations for the Make Money Online category. A company-level AI visibility audit can show why. The audit maps the specific prompts and platforms where Etsy is mentioned but not placed in the top three, identifies the competitor that takes the recommendation when Etsy is absent, and reveals the external sources shaping those answers. For Etsy, the question is which prompts and platforms are converting mentions into recommendations and which are not.

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What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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