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Surfient module · Audit

Score every page for AI citability — in under an hour

Surfient crawls your catalog the way ChatGPT, Perplexity, Claude, and Google AI Overviews do, then scores each page on the 47 signals that actually decide whether a model will quote you.

  • Crawl-grade parser reads your store the way ChatGPT, Perplexity, and Google AI Overviews do — no JavaScript blind spots, no blocked resources.
  • 47 AI-indexing signals grouped into five pillars: retrievability, parseability, factual density, schema coverage, and citation-readiness.
  • Every issue ships with a fix preview, a severity score, and a one-click hand-off to the AI Fix Pack — so merchants go from audit to deployed change in the same sitting.
Get your free GEO ScoreSee the full feature list

GEO Audit Engine

80+ checkpoints · weighted per engine

+14 this week

GEO Score — live

80+ checkpoints · weighted per engine

+14 this week

Score

0/100

Rescanned 6 min ago

0

Schema

0

Answers

0

llms.txt

0

Facets

0

Citations

0

Crawl

The problem

A page that ranks on Google can still be invisible to AI

Traditional SEO audits flag missing title tags and broken canonicals. That bar is a decade old. AI assistants ingest your page, answer a shopper directly, and never send a click — so the failure mode isn't a ranking drop, it's a silent absence from the answer. If you can't measure it, you can't fix it.

  • 61%

    of AI shopping answers cite a brand other than the one the shopper searched for

    Our own sampling of 4,200 ChatGPT and Perplexity shopping prompts across fashion, home, and beauty verticals.

  • 3.1×

    more often AI assistants cite stores that expose structured product feeds

    Structured JSON-LD + an ai-sitemap is the single largest lever we've measured — and almost no Shopify theme ships with it by default.

  • < 1%

    of Shopify stores publish an llms.txt or ai-sitemap today

    Which means the merchants who do aren't competing — they're the only option the model can cite.

How it works

From install to a full report in under an hour

The audit engine treats your store the way a model crawler would: render the page, harvest signals, score them against our rubric, and hand you a diff you can act on today.

  1. Crawl like a model

    We fetch every page through a hybrid renderer that executes your theme JavaScript the way GPTBot, ClaudeBot, and PerplexityBot do. That means AJAX-loaded reviews, lazy-rendered spec tables, and client-only schema scripts all make it into the audit — nothing is hidden behind a blank document.

  2. Score 47 signals

    Each page is scored against our GEO rubric: retrievability (robots, ai-policy, llms.txt), parseability (semantic HTML, heading depth, canonical mismatch), factual density (unique specs per 100 words), schema coverage (Product, Offer, Review, FAQPage, HowTo), and citation-readiness (short, self-contained paragraphs a model can quote verbatim).

  3. Prioritise the backlog

    Every finding is ranked by a citability delta — the estimated lift in AI-assistant quote rate once the fix ships. Low-effort, high-lift items surface at the top so a merchant team without engineering can start shipping the same afternoon.

  4. Hand-off to the Fix Pack

    One click promotes any finding into the AI Fix Pack queue. Preview the change, compare before/after, approve, publish. No theme edits, no liquid hunting, no Shopify Flow bolt-ons — the audit engine and the fix pipeline are the same surface.

Inside the app

What you’ll see after install

Every number a Shopify merchant running Surfient GEO Audit Engine tracks in one glance — live from the Surfient admin. AI engine splits, revenue lift, and the exact state of your catalog across ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, and Copilot.

Capabilities

What the audit actually checks

Five pillars, 47 signals. Every one maps to a behaviour we've watched AI engines reward or punish in the wild.

  • Retrievability pillar

    Is your site reachable by model crawlers at all? We check robots.txt rules against the GPTBot, ClaudeBot, PerplexityBot, and CCBot user-agents, flag accidental disallows, and confirm you expose an llms.txt + ai-sitemap.xml at the roots that the major engines probe for.

  • Parseability pillar

    AI engines prefer documents they can chunk cleanly. The audit scores your heading hierarchy, semantic landmark usage, main content width (too narrow kills chunk quality), and whether critical spec tables use real <table> markup rather than a <div> lattice the model has to reconstruct.

  • Factual density pillar

    Marketing copy without facts gets summarised and forgotten. We count named entities, numeric claims, and differentiators per 100 words of body text, then compare each product against its category mean. Sparse pages get flagged with concrete suggestions — add dimensions, add GTIN, add material, add warranty.

  • Schema coverage pillar

    Every product, collection, article, and FAQ is checked for the right JSON-LD graph. Missing Offer.priceCurrency, incorrect Review.ratingValue types, mismatched Breadcrumb itemListElement — all caught with line-level references to the exact schema object AI engines parse.

  • Citation-readiness pillar

    Assistants quote. That means they want short, self-contained paragraphs with a subject, a verb, and a claim that stands alone. We highlight sentences under 8 words (too thin to cite) and over 40 words (too long for a quote box), plus paragraphs missing a lead sentence a model can pull verbatim.

  • Diffable fix previews

    Every flag renders a before/after diff — old JSON-LD on the left, generated replacement on the right. Copy writers see the prose delta, developers see the structured-data delta, and nobody has to trust the tool blindly.

  • Severity-weighted scoring

    A missing Product.offers.price is a sev-1 blocker — the model literally can't answer a price query from your page. A missing alternateName on Organization is a sev-4 polish. The GEO Score weights findings by the estimated citation lift, not the count, so teams fix the five that matter instead of the fifty that don't.

  • Scheduled re-audits

    The audit reruns weekly on a schedule you set. Changes in score trigger an email + Slack ping so you find out about a broken schema the morning it ships — not three weeks later when traffic mysteriously slumps.

Customer proof

Proof

“Shopify gave us a storefront. Surfient gave us a second storefront the AI assistants actually read. In six weeks our Share of AI Voice for our top three categories tripled — without touching a single Google ad.”
Priya Ramanathan · Head of Growth, Arcoris Coffee

3.0×

Share of AI Voice in 6 weeks

Pairs well with

Keep reading across the Surfient platform

FAQ

Questions, answered straight

  • How long does a full audit take?

    A store with under 500 products completes in under 20 minutes. We've audited catalogs of 120,000 SKUs — the full pass takes about 90 minutes because we render each page with a real headless browser, not a static fetch. Incremental re-audits only process pages whose content or schema has changed since the last run, which keeps weekly refreshes under a minute.

  • Is this the same as a Lighthouse or a classic SEO audit?

    No. Lighthouse scores human-centric signals — LCP, CLS, accessibility. Classic SEO audits score crawl rankings for Google's ten-blue-links era. Surfient scores citability — the 47 signals that decide whether a generative model will quote you in an answer. The three are complementary, but only one of them gets you cited by ChatGPT.

  • Will running the audit slow down my store?

    No. The crawl runs at a concurrency you configure — default is four concurrent fetches, which is well below the Shopify App Bridge storefront rate limit. You can throttle further during peak shopping hours, and the engine skips pages that haven't changed since the last pass, so the marginal cost of a weekly re-run is measured in seconds.

  • What signals are you checking that other SEO tools miss?

    The big three: AI user-agent rules in robots.txt (GPTBot, ClaudeBot, PerplexityBot, CCBot, and the growing long tail), the presence and freshness of llms.txt + ai-sitemap.xml at root, and the citation-readiness of your prose — sentence length distribution, lead-sentence quality, and the ratio of named entities to marketing filler.

  • Do I need to install an Shopify app or a theme change?

    Install the Surfient Shopify app once. That's the whole integration — the audit reads your storefront via the public URL and pulls structured catalog data through the Shopify Admin API using read-only scopes. No theme file changes, no Liquid edits, no metafield schemas to maintain.

  • Can I export findings to my team's ticket tracker?

    Yes. Every finding exports as JSON or CSV with severity, citability delta, page URL, and a reproducible snippet. We have first-class exporters for Linear and Jira, and a generic webhook for anything else — Slack, Notion, Trello, Zapier.

See your GEO Score before you commit to anything

Point Surfient at your store. In under 20 minutes you'll have a full report of the 47 signals AI engines score you on, plus a ranked backlog of what to fix first. No credit card, no install on your production theme.

Run the free GEO auditSee pricing