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Audit SEO and GEO in under 30 seconds.

Paste a URL. Sk:vr crawls your page, checks 23 observable signals for Google and generative AI, and returns your priority actions instantly. Two scores: SEO and GEO.

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sk:vr/auditstudjoow.com

Score SEO

0/100

Score GEO

0/100

0 % scanned

  • Crawl
  • Headings
  • Schema.org
  • llms.txt
  • AI Overviews

< 15 s

Complete audit

23

Checks measured

2

Scores: SEO + GEO

0 €

No payment, ever

context · 2026

Why GEO changes everything in 2026

For twenty years, SEO meant one thing: rank in the top three Google results. That metric is losing its grip.

Today, a growing share of queries are answered directly inside the interface, by an AI that quotes a handful of sources without sending the user to your site. Being readable by these models, not just by Googlebot, has become its own discipline. That discipline is called GEO: Generative Engine Optimisation.

60 %

of Google searches now end without a click — the answer was already in the SERP.

source · SparkToro 2025

400 M

weekly active users on ChatGPT, plus Perplexity, Claude, Gemini, Copilot.

source · OpenAI Q4 2025

~ 4

average number of sites cited by an AI Overview. The list of “good enough” pages is short.

source · Authoritas 2025

8 / 10

French sites are technically invisible to LLMs (no llms.txt, no JSON-LD, blocked AI bots).

source · Studjoow audit panel 2026

in plain terms

A modern audit checks two layers. The classic SEO layer (titles, structure, performance, backlinks) tells Google how to rank your page. The GEO layer (llms.txt, JSON-LD, FAQ schema, AI-bot access) tells ChatGPT, Perplexity, and Google AI Overviews whether they can safely quote your page. A site that nails the first but ignores the second is increasingly invisible. Sk:vr exists to measure both at once, in plain language, with no jargon.

who uses Sk:vr

Four real situations, one tool

Sk:vr was built from concrete cases first. Below, the four most common reasons people land on this page.

SME founder

“My agency tells me everything is fine, but my traffic is dropping.”

how Sk:vr helps · Run Sk:vr on the home page and the top three landings. In 90 seconds, you know whether the issue is SEO (positions) or GEO (citability). Conversation with the agency becomes specific instead of vague.

SEO consultant

“My audits look the same as everyone else's, my reports are heavy.”

how Sk:vr helps · Use Sk:vr as the GEO layer of your audit. The plain-language checklist becomes the “client-readable” section of your deliverable; you keep the technical depth on the side. Saves 2 to 3 hours per client.

Freelance marketing

“I produce content, I never know whether it works for AI search.”

how Sk:vr helps · Audit each new article 24 hours after publication. The “3 priority actions” tell you which structural improvements to apply before scaling on the next piece.

In-house marketing manager

“CEO asks me whether ChatGPT will replace SEO. I have no clean answer.”

how Sk:vr helps · Two reports: one for your homepage, one for a competitor. The score differential is the briefing material. It frames the conversation in concrete numbers, not in abstract trends.

Recognise yourself in one of these four?

See Skovr in action ↗

Under the hood

How Sk:vr works

Five stages from URL to report. No black box: each step is documented and reproducible.

  1. 01

    Targeted crawl

    We download the page as it is publicly served, along with its companion files: metadata, heading structure, Schema.org tags, robots.txt, sitemap, and llms.txt are all retrieved.

  2. 02

    Classic SEO signals

    On-page checks: title, meta description, canonical, indexability, https, heading hierarchy, alt attributes, Open Graph, viewport, declared language, robots.txt, and sitemap.

  3. 03

    GEO signals

    LLM readability: identity and content JSON-LD (Organization, FAQ, Article), usable heading hierarchy, substantial text, semantic tags, freshness signals, llms.txt. These determine whether ChatGPT, Perplexity, or Google AI Overviews cite you.

  4. 04

    Dual scoring

    Two independent scores out of 100: SEO and GEO, weighted per check. Scoring is deterministic: the same site gets the same score from one run to the next, the precondition for credible monitoring.

  5. 05

    Immediate priority actions

    Every failed check becomes a concrete action, ranked by impact. Three priority actions at the top of the report, in plain language, no jargon. And monitoring emails you the evolution, month after month.

The report

What you get at the end

What's working

The signals already in place: optimised tags, valid Schema.org, crawlable structure, AI bots allowed. A foundation to build on.

What's holding you back

The specific gaps: missing llms.txt, unstructured FAQs, poor H1/H2 hierarchy, miscalibrated meta description. Each failed check named precisely.

3 priority actions

Ordered by impact. Not 40 recommendations, just three concrete steps to gain the most ground in the least time.

What if this report came back on its own, every month?

Track my site over time ↗

glossary · what we measure

The 8 signals Sk:vr measures, in plain words

Each signal has a one-sentence definition and a concrete reason it matters for being cited by an AI in 2026.

01

llms.txt

A plain-text file at the root of your domain telling AI crawlers which content to read.

why · Without it, ChatGPT and Perplexity often default to your homepage and miss your real content.

02

JSON-LD enriched

Structured data (Article, Person, Organization, Product) embedded in your HTML.

why · LLMs use it to understand who wrote what, when, and on which entity. Without it, the page is anonymous.

03

FAQ schema

Schema.org markup that flags questions and their answers as a Q&A block.

why · AI Overviews pull short, structured answers from these blocks before plain prose.

04

Heading hierarchy

A clean H1 then H2/H3 ladder, no skipped levels, no decorative H1s.

why · LLMs parse documents through their outline. A broken outline means a broken understanding.

05

AI bot access

GPTBot, ClaudeBot, PerplexityBot and CCBot allowed in robots.txt.

why · Many sites accidentally block these bots while allowing Googlebot. Citation becomes impossible.

06

Semantic tags

main, article, section and nav elements that mark where the content that matters is.

why · LLMs strip menus and footers. Semantic tags tell them exactly which block to read and quote.

07

Freshness signals

Dated content: time elements, article:published_time, visible modification dates.

why · AI engines favour sources they can date. An undated page reads as potentially stale.

08

Substantial text

Enough visible, self-standing prose on the page, beyond menus and captions.

why · An AI cannot quote a site that says nothing. Thin pages never make it into an answer.

Sk:vr measures 23 checks in total. These eight matter most for GEO and are the most often missing in 2026. The free report walks through each one and names exactly what your page is missing.

timeline · 2024 → 2026

What changed in 24 months

Generative search did not arrive overnight. Here is the short version of the timeline that explains why GEO matters now.

  1. 01

    May 2024

    Google launches AI Overviews

    A direct AI answer placed above organic results in the United States, then rolled out worldwide.

  2. 02

    Oct. 2024

    ChatGPT search opens to all

    OpenAI ships in-product web search with citations. Several sources per answer, no clicks needed.

  3. 03

    Nov. 2024

    llms.txt proposed

    A community standard appears to declare what AI crawlers may read. Adoption goes from zero to thousands of sites in weeks.

  4. 04

    Jan. 2025

    Perplexity passes 30 M users

    A search-native LLM gains real traction. The list of “AI search engines” becomes plural.

  5. 05

    June 2025

    AI Overviews on 80 % of queries

    Google generalises generative answers to a vast share of FR/EN queries. Click-through rates on standard organic results drop sharply.

  6. 06

    Q4 2025

    Schema.org publishes its “AI search” note

    Recommendations on JSON-LD and structured Q&A blocks for citation purposes. The field gets a name: GEO.

  7. 07

    2026

    GEO is a routine line item

    GEO audit and SEO audit are now expected together. Sites that ignore the second one keep losing ground.

↔ scroll horizontally to see the rest

interactive · 90 seconds

Are you citable by AI?

Five quick questions. No email needed. The result tells you whether ChatGPT, Perplexity, and Google AI Overviews can quote you today, and how far you sit from the citable minority.

Question 1 / 5

0 %

  1. 01Do you have a llms.txt file at the root of your domain?
  2. 02Do your pages embed JSON-LD (Article, Person, or Organization)?
  3. 03Does your robots.txt allow GPTBot, ClaudeBot, and PerplexityBot?
  4. 04Are your Q&A blocks marked up with Schema FAQPage?
  5. 05Is your H1 → H2 → H3 hierarchy clean, with no skipped levels?

Auto-evaluation only. Sk:vr is the verified version, in 30 seconds, with evidence from your page.

show me the code

What does a GEO-ready page actually look like?

Three minimal blocks. Add them to any page and you instantly cover four of the eight signals listed above. The rest is editorial work.

01/llms.txt

A plain-text file at the root of your domain. Tells AI crawlers what to read, in priority order.

# studjoow.com — llms.txt
# Studjoow · studio for considered websites

> Web studio specialised in SEO + GEO native sites.

## Core pages
- [About](https://studjoow.com/studio): who runs the studio
- [Sk:vr](https://studjoow.com/skovr): free SEO + GEO audit
- [Lab](https://studjoow.com/lab): editorial deep dives
02JSON-LD · Article schema

Placed in the <head> of any article page. Tells LLMs who wrote what, when, and on which entity.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Why GEO matters in 2026",
  "datePublished": "2026-05-31",
  "author": {
    "@type": "Person",
    "name": "John Houzi",
    "url": "https://studjoow.com/studio"
  },
  "publisher": {
    "@type": "Organization",
    "name": "Studjoow",
    "url": "https://studjoow.com"
  }
}
</script>
03/robots.txt

Many sites accidentally block AI bots while allowing Googlebot. Three explicit allows fix that.

User-agent: Googlebot
Allow: /

User-agent: GPTBot
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: PerplexityBot
Allow: /

User-agent: CCBot
Allow: /

Sitemap: https://studjoow.com/sitemap.xml

The full reference list lives on the Lab.

beyond the audit

A one-shot audit isn't enough.

A score at a single moment tells you nothing about tomorrow. Search engines and AI evolve every week. Here is how Studjoow can keep watching for you, in the long run.

Skovr Watch

Continuous monitoring

For SMEs, freelancers, and self-employed pros. Weekly automatic scans, email alert when a score drops, monthly evolution report, full score history on your tracking page.

  • Weekly automatic scan
  • Email alerts on critical drops
  • Monthly evolution report by email
Discover Skovr Suivi

Skovr Agency

Multi-client, white-label

For SEO agencies and freelance consultants. Monitor up to ten client sites at once, white-label PDF reports with your logo, multi-client dashboard.

  • 10 client sites tracked
  • White-label PDF reports
  • Multi-client dashboard
Discuss it
coming soon

Premium AI Audit

LLM-augmented audit

A deep one-shot audit enriched by semantic LLM analysis. Detects false positives that classic crawlers miss. Currently being polished, available in beta soon.

  • Anti soft-404 semantic check
  • Detailed E-E-A-T score
  • Pro PDF report
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Pricing is tailored after a short discovery exchange (no commitment). If you prefer to see public rates, they are listed on skovr.fr ↗.

Skovr, SEO and GEO audit and monitoringskovr.fr

the full product

Skovr lives on its own site.

Continuous monitoring, agency plans, tool comparisons, glossary and blog: the whole product lives on skovr.fr. This page is the free audit and the why; skovr.fr is where it becomes a habit.

FAQ

Frequent questions

Is Sk:vr really free?
Yes. The full audit, score, and report are free. Sk:vr is a qualification tool: it identifies what can be fixed. Fixing it, if you want to delegate that, goes through Studjoow and is subject to a quote.
How long does an audit take?
Under 15 seconds in most cases: crawling the page and its companion files takes 3 to 10 seconds, scoring is instant. There is no generation to wait for: checks are measured, not guessed.
Is the score reliable from one run to the next?
Yes, by design. The 23 checks are measured deterministically: the same site gets the same score as long as it has not changed. The evolution that monitoring sends you therefore reflects your site, not the mood of an AI model. For an AI-led creative diagnosis, its sibling tool Rayon X takes over.
Does Sk:vr replace a classic SEO audit?
No, and that is not its purpose. Sk:vr gives a fast, actionable read designed for founders and marketing teams. For an exhaustive technical audit across 500 pages, Screaming Frog or Sitebulb are still the right tools.
What is the difference between the SEO score and the GEO score?
The SEO score measures your visibility for classic search engines (Google, Bing). The GEO score measures your citability by generative AI (ChatGPT, Perplexity, Google AI Overviews). A site can have an excellent SEO score and a poor GEO score: that is true of most sites in 2026.
My site is never cited by ChatGPT — is that normal?
It is the default state. For an LLM to cite a page, three conditions must be met: the page must be accessible to AI crawlers (robots.txt open to GPTBot, ClaudeBot, PerplexityBot), it must expose an exploitable structure (clear headings, inline definitions, lists, FAQ schema), and it must contain short, self-contained answer blocks. Sk:vr checks the three and reports what is missing.
GDPR: what happens to the URL and content during the audit?
The page HTML is analysed on the fly and then discarded: nothing is sent to an AI model during the scan. If you enable monitoring, only the scores and check details are stored, along with your email, to build the history. No cookies are set, no data is resold.
Wix, Webflow, WordPress, Shopify: which CMSs does Sk:vr support?
All of them. Sk:vr does not read your CMS, it reads the page as it is publicly served. Any public HTTPS URL is analysable. That said, some platforms (free Wix, basic Shopify) limit what you can inject in JSON-LD or llms.txt: the report then tells you what is missing.
How does Sk:vr compare with Ahrefs, SEMrush, or Screaming Frog?
Not direct competitors. Ahrefs and SEMrush measure rankings and backlinks; Screaming Frog crawls thousands of URLs for an exhaustive technical audit. Sk:vr measures one specific thing: how readable a given page is to an LLM. It complements, it does not replace. Most SEO consultants run both.

After the audit

The report points the way.
Studjoow walks it with you.

Sk:vr identifies what to fix. If you want to delegate the corrections, or rebuild from scratch, that is what Studjoow is for.

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