Resources · Technical Access for AI Crawlers

Can Screaming Frog and Looker Studio Replace a Dedicated AI Visibility Audit Tool?

For the technical half of an AI visibility audit, largely yes. Screaming Frog's SEO Spider costs $279 a year. It can crawl your site the way AI crawlers would, and check rendering, robots.txt rules and structured data. It can also extract content and run prompts from OpenAI, Gemini, Anthropic or local models against your pages. Scheduled crawls then feed Looker Studio for free trend reports. For the other half of an audit, no. That half is what AI assistants actually say about you, which sources they cite and which competitors they name, and it needs repeated prompts across engines. You can run those by hand or with a tracker. Screaming Frog plus Looker Studio plus a monthly manual check covers a surprising amount for a small budget.

What does an AI visibility audit cover?

A full audit has two parts:

  1. Your site: can AI crawlers reach your pages, can they read the content without running scripts, is structured data present and accurate, and do pages state facts clearly?
  2. The answers: do ChatGPT, Gemini, Perplexity, Claude and Google's AI features mention you for buyer questions, how do they describe you, which sources do they cite, and who else do they name?

Dedicated audit tools usually combine both. Screaming Frog is built for the first.

Screaming Frog review for technical markup and AI visibility

The SEO Spider is free for up to 500 URLs; a licence at $279 a year per user removes the limit and unlocks the configuration options, including custom user agents, rendering and extraction. For AI visibility, the useful parts of a licensed copy are:

  • Crawling as AI bots: set the user agent to an AI crawler, such as OAI-SearchBot or PerplexityBot, and see which URLs your robots.txt blocks for it.
  • JavaScript rendering: compare the raw HTML with the rendered page to find content that only appears after scripts run, which many AI crawlers may not see.
  • Structured data: extract and validate Schema.org markup, and check it matches the visible page.
  • Custom extraction: pull specific elements, such as prices, addresses or FAQs, across every page to check consistency.
  • AI prompts on crawl data: connect OpenAI, Gemini, Anthropic or local models through Ollama, and run up to 100 prompts against page text or HTML during a crawl, for example to summarise what each page claims, check whether a page answers a stated question, or generate embeddings for topic analysis.
  • Scheduling: run crawls on a schedule and append crawl overview data to a Google Sheet each time.

Two cautions. The AI prompt feature asks a model about your own content; it does not show how ChatGPT or Gemini answer users' questions. And API calls to paid models cost money per crawl, so test prompts on a sample before running them across a large site.

What does Looker Studio add?

Looker Studio is free. Connected to the Google Sheet that scheduled crawls update, it gives you time-series reports on crawl health: pages blocked, rendering issues, structured data errors and indexability. You can add Search Console and GA4, including visits from AI assistants, to the same report. Search Console's AI Overview and AI Mode impressions are not available through its API or the Looker Studio connector, so export the generative AI performance report as a CSV each month and paste it into a tab of the same Google Sheet. The crawl and GA4 parts then update without manual work.

What can't they do?

  • Show AI answers. Neither tool asks assistants your buyers' questions or records the answers.
  • Track citations and competitors in those answers over time.
  • Show share of voice or sentiment across engines.
  • Handle answer variation, which needs repeated runs of the same prompts.

You could build a simple answer tracker with model APIs and a spreadsheet, but API answers can differ from what people see in consumer apps, and models without web search answer from training data rather than live sources. Most teams find a manual check or a low-cost tracker more reliable. How to check by hand is covered in how to track AI visibility by testing prompts manually.

How should you combine them?

A practical low-cost set-up:

  1. Screaming Frog weekly or monthly, crawling as a browser and as two AI user agents, with rendering on.
  2. Looker Studio for crawl health, Search Console AI impressions and GA4 AI visits in one report.
  3. A monthly manual check of 15 to 20 buyer questions in four assistants, recorded in a spreadsheet with mentions, position and cited sources.
  4. A tracker only when needed, for example when you need daily data or more prompts than you can check by hand; entry trackers start around $29 a month.

Automating the answer side without checking every model yourself is covered in how to track AI visibility without manually checking every model.

What does each approach cost?

  • Screaming Frog and Looker Studio: $279 a year, plus any AI API usage.
  • Adding a manual answer check: an hour or two of staff time a month.
  • Adding an entry tracker: from about $29 to $100 a month.
  • Dedicated audit platforms: often $100 to several hundred dollars a month, combining site and answer checks with recommendations.

For small sites, the first two cover most needs. For larger sites or regular client reporting, a tracker saves time, and its recorded answers make monthly reports easier to defend.

Which technical issues matter most for AI crawlers?

Use the crawl to check these first:

  • Robots.txt rules that block AI search crawlers you want to allow, such as OAI-SearchBot, while perhaps blocking training crawlers you do not.
  • Content that needs JavaScript, such as product specifications or prices loaded after the page.
  • Missing or mismatched structured data, for example opening hours in schema that differ from the page.
  • Thin or duplicate pages that split signals across URLs.
  • Slow or error-prone templates that fail for bots.

How schema affects AI understanding is covered in whether LocalBusiness or Service schema helps AI understand business details. For script-heavy sites, a crawl comparison of raw and rendered HTML is the quickest way to find the problem; fixes are covered in how to make JavaScript-rendered pages readable to AI crawlers, and simple checks without any crawler in how to check whether AI can read your pages.

What might this look like in practice?

Consider an illustrative online furniture shop, Oakbridge Home, with 3,000 product pages. A Screaming Frog crawl with rendering showed prices and dimensions loading only through scripts, and a robots.txt rule blocking PerplexityBot. A custom prompt run through a local model flagged 200 product pages whose text never stated the material. The team fixed the template, allowed the search crawler and rewrote the weakest descriptions. A monthly manual check of 20 questions then showed Oakbridge appearing in more Perplexity answers about oak dining tables, while Looker Studio tracked the crawl fixes.

What do people ask about Screaming Frog for AI visibility?

How much does Screaming Frog cost?

It is free for up to 500 URLs; a licence costs $279 a year per user.

Can Screaming Frog check what ChatGPT says about me?

No. Its AI features run prompts on your own crawled content, not on users' questions to ChatGPT.

Can I crawl as an AI bot?

Yes, with a paid licence. Set a custom user agent, such as an AI crawler, to see what your robots.txt allows; the free version cannot change its configuration.

Is Looker Studio free?

Yes, and scheduled Screaming Frog crawls can feed it through Google Sheets.

Published by The Kovmere Team · updated Sep 29, 2026 · More resources