AI Readiness Report

stackadapt.com

How visible stackadapt.com is to AI engines like ChatGPT, Perplexity, Gemini, and Claude, based on a technical scan of crawler access, structured data, and citation signals.

Summary

stackadapt.com has an AI Readiness score of 50/100, placing it at Maturity Level 2: Indexable. The site was scanned on April 27, 2026 across 7 technical signals that influence whether AI engines like ChatGPT, Perplexity, Gemini, and Claude can discover, parse, and cite content from stackadapt.com.

50
out of 100

Maturity Level 2

Indexable

Based on 50 out of 100 points across 7 technical signals that influence whether AI engines can discover, parse, and cite stackadapt.com.

Final URL: https://www.stackadapt.com/ Scanned: 2026-04-27 Tranco rank: #619

Signal breakdown

Content-level signals were checked on: https://www.stackadapt.com/native-advertising

AI crawlers allowed

20/20 pts

robots.txt allows GPTBot, ChatGPT-User, anthropic-ai, ClaudeBot, PerplexityBot, and Google-Extended.

llms.txt present

0/10 pts

No /llms.txt file. AI engines have no curated guide to the site's purpose and key pages.

Fix: Publish /llms.txt with a short site description and links to your most important pages.

Organization schema

0/15 pts

Homepage lacks JSON-LD Organization markup. AI engines cannot identify the entity behind the site.

Fix: Add JSON-LD Organization with name, url, logo, and sameAs links to social profiles.

Article schema

0/15 pts

Content pages lack JSON-LD Article markup. AI engines may struggle to attribute and quote the content.

Fix: Add JSON-LD Article with headline, datePublished, author, and publisher to blog/article templates.

FAQPage schema

15/15 pts

JSON-LD FAQPage markup found.

Author Person schema

0/10 pts

Content pages have no Person schema with a verifiable identity (sameAs link or author bio URL).

Fix: Add JSON-LD Person to article authors with sameAs link to LinkedIn or other verifiable profile.

Sitemap in robots.txt

15/15 pts

A Sitemap: directive in robots.txt points to the sitemap.xml file.

See if AI engines actually mention stackadapt.com

The score above measures technical readiness. The next step is measuring whether ChatGPT, Perplexity, Gemini, and Claude currently mention stackadapt.com for the queries that matter. The free AI Visibility Audit runs live queries against the engines and reports back.

Run free AI Visibility Audit →

Frequently asked questions

What is stackadapt.com's AI Readiness score?

stackadapt.com scored 50 out of 100 on the Appearly AI Readiness scan, placing it at Maturity Level 2 (Indexable).

Does stackadapt.com have ai crawlers allowed?

Yes. robots.txt allows GPTBot, ChatGPT-User, anthropic-ai, ClaudeBot, PerplexityBot, and Google-Extended.

Does stackadapt.com have llms.txt present?

No. No /llms.txt file. AI engines have no curated guide to the site's purpose and key pages. Publish /llms.txt with a short site description and links to your most important pages.

Does stackadapt.com have organization schema?

No. Homepage lacks JSON-LD Organization markup. AI engines cannot identify the entity behind the site. Add JSON-LD Organization with name, url, logo, and sameAs links to social profiles.

Does stackadapt.com have article schema?

No. Content pages lack JSON-LD Article markup. AI engines may struggle to attribute and quote the content. Add JSON-LD Article with headline, datePublished, author, and publisher to blog/article templates.

Does stackadapt.com have faqpage schema?

Yes. JSON-LD FAQPage markup found.

Does stackadapt.com have author person schema?

No. Content pages have no Person schema with a verifiable identity (sameAs link or author bio URL). Add JSON-LD Person to article authors with sameAs link to LinkedIn or other verifiable profile.

Does stackadapt.com have sitemap in robots.txt?

Yes. A Sitemap: directive in robots.txt points to the sitemap.xml file.

Methodology & sources

Appearly scans up to 8 pages per domain (homepage, robots.txt, /llms.txt, sitemap, and a discovered content page) to evaluate 7 signals weighted from 10 to 20 points each. The maturity model maps total score to one of 5 levels: Invisible (0), Discoverable (1), Indexable (2), Retrievable (3), Cited (4).

Sources and references:

Published:  ·  Last updated:  ·  Publisher: Appearly (AI Visibility Platform)