The AI and SEO problem
Google’s helpful-content guidance doesn’t penalise AI by name. It penalises content that reads as machine-produced filler. Templated structure, hedged prose, missing specifics, no identifiable author behind the page. Which is, awkwardly, exactly what an LLM defaults to when nobody edits its output.
The sites taking the biggest ranking hits in 2026 aren’t the ones that used AI to write. They’re the ones that published AI output unedited. Featureless headings, the same section cadence on every page, stock imagery, and not a first-person sentence or real date anywhere. Google’s ranking systems keep getting better at noticing.
An AI SEO audit answers two questions at once. Does the site read as AI-generated? Does the technical SEO hold up under that scrutiny? A site scoring high on the first and weak on the second is the textbook profile for a helpful-content downgrade.
What the audit checks
Every CrawlRanker scan runs two passes against a single URL. A deterministic SEO rubric on one side. An AI-content detector on the other. Both report side by side, with a confidence percentage on every finding.
SEO rubric, seven checks
- Meta tags. Title under 60 characters, meta description under 160, canonical link present.
- Heading structure. One H1, sensible H2 hierarchy, no skipped levels.
- Mobile readiness. Responsive viewport, layout reflow under 600px.
- Page speed signals. Server response time, HTML payload, image weight against Core Web Vitals thresholds.
- Schema markup. Presence of JSON-LD types relevant to the page: Article, Product, FAQPage, Organization.
- Broken links. Sample of internal links HEAD-checked. 4xx and 5xx flagged.
- Image alt text. Every meaningful image carries a descriptive alt attribute.
AI-content detector, four signal categories
- Content. Lexical patterns, sentence-shape variance, hedged phrasing, factual specificity. The markers an LLM leaves when it writes prose.
- Structure. Heading regularity, paragraph length distribution, list cadence, the templated section ordering AI page-builders produce.
- Imagery. Filename patterns, repeated alt text, artifacts characteristic of generative image models.
- Tone. Voice consistency across sections, register shifts, the emotional flatness LLMs default to when nobody edits the output.
How Google treats AI content in 2026
Google’s public position has been consistent since 2023. AI-generated content is not penalised per se. What gets penalised is unhelpful content. And unhelpful content correlates very strongly with unedited AI output. The official guidance lives on the Google Search blog.
The practical implication: the surface area Google reads to make that call is wider than the prose alone. Heading regularity, schema, alt text, internal linking, freshness. They all feed the same model. A site scoring well on every SEO check but reading as 90% AI-automated sits in a category Google has signalled it’ll keep tightening.
What you’ll see in the report
- An overall AI-automation score (0–100) with a verdict band: Mostly AI-generated, Mixed signals, or Mostly human-written.
- An overall SEO score (0–100) with the seven check results expanded.
- Up to three findings, each with verbatim quotes drawn from the page, the location they appeared in, and a one-sentence fix recommendation.
- A what’s working section listing the page’s strongest human-authorship signals.
- The detected tech stack. AI page-builders like Framer, Durable, or Lovable are themselves a high-signal input.
- A count of LLM-marker phrases in the body text. A few hits is normal. A dense cluster is the load-bearing signal.
- The full heading outline, sampled link health, and a by-the-numbers stat strip.
Run a free AI SEO audit
The scanner is free, requires no signup, and finishes in under 30 seconds for most pages. Every scan creates a public report URL you can send to a client, a co-founder, or a peer. See the homepage to start.
Common questions
Does AI-generated content hurt SEO?
AI-generated content is not penalised by Google directly. Unhelpful content is, and unedited AI output trips most of the unhelpful-content signals at once. It looks like a draft nobody finished editing: same heading rhythm on every page, hedges where claims should be, no byline you could put on a page. A site that uses AI to draft and a human to edit can score well. A site that publishes AI output as-is is the profile that gets penalised.
How is this different from an AI text detector?
Most AI detectors (GPTZero, Copyleaks, QuillBot, Originality) read a paragraph of pasted text and return a probability. An AI SEO audit reads the whole page (copy, structure, headings, imagery, tone) and pairs the AI-content score with the technical SEO checks Google itself weighs. Single-paragraph detectors miss the structural and stylistic signals that scale with the page.
Will Google penalise my AI-generated pages?
Probabilistically, yes, if the pages read as unhelpful. The risk isn’t binary. Helpful-content updates are graduated, and sites with a mix of original and AI-drafted content tend to lose ranking on the weakest pages first. The audit gives you the per-page signal before the SERP does.
Is the AI SEO audit really free?
Yes. The single-URL scan, both scores, the findings with evidence and recommendations, the public report URL. All free, no signup. Multi-page audits, history, and exportable reports land on a paid tier later in the roadmap. The free single-URL scan stays free.