AI Shopping

Share of Shelf: the % of AI shopping answers that name you

When a buyer asks ChatGPT what to buy, one brand gets recommended. Siftly tells you how often that brand is yours — and exactly which competitor it is when it isn't.

Siftly Share of Shelf dashboard showing the % of AI shopping prompts a product appears in across engines.
9AI engines tracked
#9Domu, in one month
3.5×KIWABI ChatGPT revenue
End-to-endTrack → create → measure
Why now

The Shift To AI Search Is Measurable

Buyers are already shopping through AI, and the demand is measurable. The trend has produced its own discipline — generative engine optimization — now documented by Search Engine Land, Forbes, and arXiv research.

Agentic commerce demand

According to Semrush (US, 2026), demand for 'agentic commerce' is at ~3,600 monthly searches and trending up.

ChatGPT shopping searches

'chatgpt shopping' draws ~1,300 monthly US searches (Semrush).

Google product guidance

Google publishes guidance on AI-features eligibility for product pages (Search Central).

The shift

AI Shopping Is Already A Revenue Channel

Measurable demand

US buyers now run ~1,300 monthly searches for 'chatgpt shopping', ~3,600 for 'agentic commerce', and ~210 for 'share of shelf'.

GEO is no longer fringe

Generative engine optimization is documented by Search Engine Land, Forbes, and peer-reviewed arXiv research.

AI visibility is the channel

When buyers ask AI before they buy, your AI visibility is the channel — not a future bet.

The problem

Most Brands Don't Know Where They Stand on the AI Shelf

Shopping is moving to the AI shelf

Shopping is moving onto the AI shelf, and buyers are already there: ~3,600 US monthly searches for 'agentic commerce' and ~1,300 for 'chatgpt shopping'.

The basic question goes unanswered

Most brands can't answer it: do you show up in AI answers today — and which competitors show up instead?

Nothing to benchmark

Across 9 AI engines, there's no rank, no share-of-voice metric — nothing to benchmark, track, or improve.

Forbes and Search Engine Land now call generative engine optimization the future of search.

How it works

How It Works: Track → Optimize → Measure

Siftly tracking which prompts surface your brand across AI engines.

Track

Siftly runs the prompts buyers actually ask large language models and reads the responses to see where your brand stands. This is the AI citation tracking layer: which prompts surface you, on which platforms, and which sources the answers lean on.

Siftly generating AI-optimized content and publishing via CMS.

Optimize

From those prompts, Siftly generates content built around the questions that matter — including AI-optimized blog articles published straight to your site through your CMS, with multiple CMS integrations supported. As the content gets picked up, AI engines begin recommending your brand.

Siftly measuring AI-bot crawl, visibility, and revenue attribution.

Measure

The loop closes by tracking AI-bot crawl, response visibility, citation movement, and traffic, lead, and revenue attribution where tracking is available — proving impact end to end, so AI search reads as a measurable channel.

What you get

Six Capabilities That Put You on the AI Shelf

Know whether you show up in AI answers today, and which competitors show up instead. Siftly tracks prompt, platform, rank, mention, citation, and geography over time across 9 AI engines.

See which prompts you win and lose, on which AI platforms, in which geographies. Brand-versus-competitor visibility sits side by side, so share-of-voice gaps are obvious.

Citation & Source Intelligence

Understand which sources and citations AI systems trust. Siftly identifies the high-influence domains AI cites and runs competitor source and authority-gap analysis.

Optimize product titles, descriptions, and metadata, plus Google Merchant and Manufacturer Center feeds and collection pages, so your product is the AI recommendation.

Impact Measurement

Prove impact from AI-bot crawling to visibility to traffic, leads, and revenue. Siftly tracks crawl activity, response visibility, citation movement, and revenue attribution where tracking is available.

Team Access

Bring the whole team — up to 20 members per account share one source of truth on AI visibility.

Why Siftly

End-to-End GEO Execution — Not Just a Dashboard

Illustration of Siftly running tracking, content, and measurement in one loop.

Action over scores

You don't just get a score. Siftly delivers specific, data-backed actions — tracking plus AI-optimized content, CMS publishing, and impact measurement in one loop.

Illustration of content reverse-engineered from the sources AI engines cite.

Earned content

Articles are reverse-engineered from the sources AI engines actually cite, in line with how Google documents AI features and your site.

Illustration of the 9 AI engine logos Siftly tracks.

9-engine coverage

Most tools are a single ChatGPT visibility tracker. Siftly tracks visibility across 9 AI engines — ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Google AI Mode, Copilot, AI Shopping, and Groq.

Proof

Brands Already Winning the AI Shelf

Before working with Siftly, Domu had no meaningful visibility across AI search platforms. Within a month, we moved from not showing up at all to ranking #9, with visibility gains across Google AI Overviews, Perplexity, and ChatGPT. Siftly gave us a clear view of where we stood, what was driving visibility, and what actions could move us further.

ManuelGTM, Domu

Siftly helped us grow revenue from ChatGPT by 3.5x month over month. More importantly, it showed us AI search is a real, measurable revenue channel, not just hit-or-miss visibility. The on-brand content Siftly creates keeps KIWABI showing up consistently across ChatGPT and Google AI Mode.

EmiFounder, KIWABI

Siftly has been a supportive partner as we've worked on AI search visibility for our customers in Japan. They've been responsive, fast to fix bugs, and proactive about improving results. We're now seeing leads come through Google AI Overviews and ChatGPT, which has made AI search a channel we can take to market.

Niigawa KyouheiCEO, BROMO
FAQ

Questions about share of shelf

Share of shelf measures how prominently your brand appears versus competitors in a given shopping context. In AI shopping, it's whether — and how often — AI engines recommend your brand when buyers ask. Siftly tracks this visibility across AI platforms, capturing prompt, platform, rank, mention, citation, and geography.
Increase your AI share of shelf by publishing content reverse-engineered from the sources AI engines actually cite. Siftly generates AI-optimized articles, optimizes product feeds and collection pages, and runs third-party citation outreach. As that content is picked up, AI engines start recommending your brand.
Siftly Share of Shelf tracks visibility across 9 AI engines: ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Google AI Mode, Copilot, AI Shopping, and Groq. For each, it reports prompt, platform, rank, mention, citation, and geography, comparing your brand against competitors over time. Tracking happens on scheduled runs rather than real-time.
Siftly calculates AI share of shelf by running the prompts buyers ask LLMs and reading the responses to see where your brand stands. For each prompt it records platform, rank, mention, citation, and geography, then tracks trends over time and compares your brand against the competitors that show up instead.
Retail share of shelf measures your physical or digital placement against competitors inside stores. AI share of shelf measures whether AI engines recommend your brand when buyers ask shopping questions. Siftly runs the prompts buyers ask these LLMs and reads the responses to see where your brand stands, across 9 AI engines.
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Written by Chalam PVS, Founder, Siftly · LinkedIn
Chalam PVS is the Founder of Siftly.
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See Your AI Shelf Number

Know your share-of-shelf number today. See exactly where your brand stands in AI answers — and which competitors show up instead. Stop guessing about your visibility across ChatGPT, Gemini, and Perplexity, and start tracking it with a clear, data-backed view.

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