CAPABILITIES
Watch the engines answer questions about your store
Six capabilities, one report. Free accounts see every ranked problem; Pro unlocks the full fix playbook and optional weekly monitoring.
We probe every audit through:
ChatGPT
Claude
Perplexity
Gemini
Live LLM probing
AI engines do not index pages — they answer questions. Surfacely runs live category prompts against ChatGPT, Claude, Perplexity, and Gemini and records exactly what each engine says about your category: verbatim responses, which stores it cites, how it characterizes your brand, and the sentiment score attached to each mention.
Most SEO tools tell you where you rank on Google. They do not tell you whether ChatGPT names you when a buyer asks for the best running shoes for flat feet. Live probing does.
Live LLM probing
12 shopper questions
ChatGPTClaudePerplexityGeminiPrompt: best cordless drill for home projects
Acme Cordless Drill is frequently recommended for DIY projects: strong torque, long battery life, and widely available at acme-store.com.
Prompt: affordable drill under $100 for beginners
DeWalt and Milwaukee dominate budget drill roundups. Black+Decker is cited for occasional use but Acme is not mentioned in this answer.
Prompt: which drill brand do contractors recommend
Contractors often cite Acme for reliability alongside Makita. Acme-store.com appears in several trade-focused buying guides.
Cited rate
8/12
Share of voice
41%
Engines probed
4
Verbatim responses
Read the exact answer each engine returns for buyer-intent prompts in your category.
Citation sources
See which domains and pages the model cites: yours, competitors, or third-party guides.
Rank position
Know whether your store is named, mentioned in passing, or absent from the answer.
- Verbatim AI responses — the exact text each engine returned, stored per audit so you can diff week over week.
- Citation records — which domains each engine linked or named, and how often yours appeared.
- Sentiment scoring — positive, neutral, or negative characterization of your brand in AI-generated answers.
- Multi-engine coverage — ChatGPT, Claude, Perplexity, and Gemini queried in parallel.
Variant-level depth
Most audit tools check your homepage and a handful of top-level pages. Surfacely deep-scans up to 500 storefront pages on Pro (25 on free) — including product detail pages and variants — because that is the surface AI engines extract structured data from when a buyer asks a specific product question. The Shopify app reads your full catalog via Admin API.
Schema markup at the variant level is how AI models read your catalog. A parent PDP with valid JSON-LD but missing variant-level price, availability, and SKU fields is a partial schema — and a partial schema produces partial AI answers.
Schema coverage
Variant-level PDP audit: 24 product pages crawled
- Product18/24
- Organization1/1
- BreadcrumbList12/24
- FAQPage0/24
- AggregateRating6/24
Variant schema
Catch missing price, SKU, and availability at the variant level.
Catalog breadth
Audit every PDP, not just homepage samples.
Extraction score
Per-field confidence for AI parsing reliability.
- JSON-LD completeness — required and recommended fields present at the variant level, not just the parent product.
- Correctness — field types, value formats, and nested structures validated against the schema.org Product spec.
- AI extraction confidence — a per-field score reflecting how reliably each AI engine can parse the value.
- Structured data depth — coverage across your catalog on Pro (up to 500-page deep scan), not just a 25-page sample.
Prescriptive playbook
An audit that surfaces issues without telling you what to do with them is a list, not a plan. The Surfacely playbook turns every finding into a ranked fix with three fields: what to change, where to change it, and the expected score lift from making that change.
Fixes are ordered by impact, not by severity alone — a low-severity fix that applies to 200 PDPs ranks above a high-severity fix that applies to 1.
Action plan
Ranked fixes with copy-paste steps
- 1
Enhance product descriptions
High priority
- 2
Add JSON-LD to top 5 PDPs
High priority
- 3
Publish llms.txt index
Medium priority
- 4
Fix duplicate meta titles
Medium priority
Top priorities
3
Fixes ready
18
Ranked fixes
Ordered by expected lift and catalog impact, not severity alone.
Copy-paste ready
Exact snippets to add or replace — no guesswork.
Export ready
Full playbook on Pro for client delivery and implementation.
- Fix description — a plain-language statement of what the issue is and what the corrected state looks like.
- Copy-paste implementation — the exact JSON-LD snippet, meta tag value, or heading text to add or replace.
- Expected score lift — the estimated change in AI extraction confidence if the fix is applied correctly.
- Affected PDP count — how many pages carry the issue, so you can prioritize by catalog impact.
See how AI search engines see your store
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Shopify one-click apply (Coming soon)
Generating a fix list is one step. Applying it to live PDPs without touching code is the next — and it is coming soon. The Surfacely Shopify embedded app will connect to your store once and surface every playbook fix inside Shopify admin for review and apply.
Pro and Multi-store already include the full copy-paste playbook and exports on the web product today. You can implement fixes manually while we finish the Shopify-native apply workflow.
Cordless Drill: Product
Coming soonSuggested fix
Add variant-level JSON-LD with SKU, price, and availability for each drill configuration.
"@type": "Product", "name": "Acme Cordless Drill", "offers": { "price": "129.00" }
No theme edits
Apply schema and meta from admin without liquid changes.
Review first
Confirm each fix before it ships to live PDPs.
Versioned rollback
Revert an applied fix if something looks wrong.
- Schema injection — planned: add or replace JSON-LD blocks on PDPs without theme liquid edits.
- Meta tag updates — planned: title, description, and structured meta fields at the page level.
- Batch application — planned: apply a fix class across affected PDPs in one action.
- Rollback — planned: versioned revert from audit history.
Continuous monitoring
AI engines update their answers weekly. A store that appears in ChatGPT's recommendations today may be absent next week if a competitor improves their schema or your catalog drifts from the structured data it was audited against.
Surfacely re-probes your tracked prompts every week and surfaces a diff: which citations appeared, which disappeared, and how your sentiment score moved.
Continuous monitoring
Pro · monthly re-checks
AI visibility score
78/100
vs last month
+6
Recent changes
Weekly cadence
Optional re-probes on Pro so drift surfaces early.
Diff alerts
Email when citation share moves beyond your threshold.
Trend lines
Sparklines show directional movement per engine.
- Weekly re-probes — the same category prompts run against ChatGPT, Claude, Perplexity, and Gemini on a rolling weekly cadence.
- Diff alerts — email notification when your citation share changes by a threshold you set.
- Sparkline trends — per-prompt, per-engine visibility scores plotted over time.
- Prompt library — add, edit, or remove tracked prompts as your catalog focus changes.
Sources analysis
Knowing whether AI names your store is the first question. Knowing which sources AI cites to answer your category queries — and what share of those citations go to competitors — is the second.
Sources analysis maps the citation landscape for your category. For each tracked prompt, Surfacely records every domain an AI engine cites and your store's citation share against top competitors.
Sources AI engines cite
Top domains across 12 live probes · 114 total citations
Citation share
Your percentage of total citations per prompt session.
Competitor map
See which domains win citations in your category.
Source types
Know whether AI cites PDPs, reviews, or editorial content.
- Citation share by domain — your store's share of AI citations for each tracked prompt.
- Competitor citation map — which competitor domains AI engines cite most often in your category.
- Source type breakdown — product pages, review sites, editorial content, and brand homepages.
- Gap prioritization — playbook cross-references sources data to surface citation-share fixes.
Built for your team
Compare and explore
Know where you show up in AI search, and what to do about it
We probe ChatGPT, Claude, Perplexity, and Gemini with real shopper questions. You get cited sources, competitor gaps, and ready-to-paste fixes.
- Probe
Real shopper questions across ChatGPT, Claude, Perplexity, and Gemini
- Diagnose
Cited sources, competitor gaps, and what each engine is missing
- Fix
Ready-to-paste copy and step-by-step instructions for your store
- ChatGPT
- Claude
- Perplexity
- Gemini
Free · No signup · Minutes
See how AI search engines see your store
Free · No signup · Results in minutes