Aigely

Feature

GEO site audit

Tracking tells you if AI recommends you. The site audit tells you why not - on the whole store and on the pages that matter most.

Site-level

Signals AI needs before it trusts a store

On every discovery we check the technical layer answer engines and crawlers use - then turn gaps into a prioritized checklist with plain-language next steps.

  • llms.txt - present, missing, or thin
  • robots.txt rules that silently block AI crawlers
  • Organization / storefront schema
  • SSR vs client-only render (can AI even read the page?)
Site-level audit
  • Product / Offer schemamissing
  • llms.txtmissing
  • GPTBot allowedok
  • Organization schemaweak
Fix: add Offer schema on product cards, then re-scan to confirm.

Page-level

Top 200-1,000 URLs - the ones AI actually cites

We pre-select home, category, and top product pages from your catalog. You keep the cap and can swap any URL. Each page gets schema, render, and content-score checks - not a full-site crawl.

  • Starter 200 · Shop 500 · Business 1,000 · Agency 500 / project
  • Schema, meta, canonical, hreflang, content structure
  • Content score for shopping-intent readiness
  • Manual refresh up to once a week
Page audit · plan cap
Selected pages4 / 500
  • /—
  • /collections/trail-shoes—
  • /products/mud-runner-pro—
  • /products/ridge-pack—

Swap any URL inside your plan cap. Refresh up to once a week.

Plain language

Fixes you can ship - or hand off

Each finding is problem → impact → next step. Built for a store owner who is not an SEO specialist, and clear enough for a developer to execute without a briefing call.

  • Example: add Offer schema on product cards
  • Example: unblock GPTBot in robots.txt
  • Example: category page missing the specifics AI quotes

Sample fix

Missing Offer schema on 18 product pages

Impact: Google AI Overviews and shopping answers often need price and availability. Without Offer markup, competitors with clean schema get cited instead.

Next step: add Product + Offer JSON-LD on PDP templates, then re-run the audit and weekly tracking.

Free scan includes a site-level teaser. Page-level audit and fix history live on paid plans. Pair it with AI visibility tracking so every fix can be measured against mention rate.

Frequently asked questions

Is this a full crawl of every URL on my site?+
No. We audit the pages AI is most likely to cite - home, categories, and top products from discovery - up to your plan cap (Starter 200, Shop 500, Business 1,000, Agency 500 per project). You can swap any URL inside that cap. We do not crawl an entire 20k-SKU catalog.
What is checked site-wide vs per page?+
Site-level: llms.txt, robots.txt AI crawler rules, Organization schema, and whether the store renders without relying on client-only JS. Page-level: Product/Offer/FAQ schema, meta/title, canonical, hreflang, render, content structure, plus a content score for shopping-intent readiness.
Can I choose which pages get audited?+
Yes. Aigely pre-selects the strongest candidates from your catalog and sitemap. Within your plan cap you can add or remove any URLs you care about.
How often can I re-run the audit?+
Manual refresh up to once per week per project, plus an automatic monthly pass with tracking. That keeps crawl cost low without locking you out of a fresh check after you ship fixes.
Do you change anything on my site?+
No. Recommendations stay on your side. You apply them yourself or hand the list to a developer. After you fix something, the next tracking run shows whether mention rate moved.
Which plans include page-level audit?+
Every paid plan. Free scan includes a site-level teaser checklist only. Page caps: Starter 200, Shop 500, Business 1,000, Agency 500 pages per client project.

See which pages block AI recommendations

Free scan flags site-level basics. Paid plans audit your top URLs and keep the checklist current as you fix.

Run free scanSee pricing