Fix categories

Every audit finding belongs to one of these classes. The audit ranks the specific instances for your domain by impact against effort; the sample audit shows real examples of each.

AI crawler access

Whether GPTBot, PerplexityBot, Google-Extended and OAI-SearchBot can fetch your pages at all: robots.txt rules, WAF blocks, JS-only rendering.

An engine that cannot read a page cannot cite it. This is the most common and cheapest class of finding. Typical effort: minutes to hours.

Check it yourself: fetch a key page without JavaScript and count how often your product name appears in the raw HTML.

curl -sL https://yourdomain.com/pricing | grep -c "Your Product"

Zero in the response but visible in a browser means engines read an empty shell. The full crawler table, a robots.txt template, and IP verification commands are in the AI crawler reference.

Bing indexation and IndexNow

Bing Webmaster verification, index coverage, and IndexNow push so new pages land in the index fast.

ChatGPT's web answers retrieve from Bing's index. Pages missing there are invisible to it regardless of quality. Typical effort: 1 to 2 hours.

After verifying the domain in Bing Webmaster Tools, pushing an updated URL into the index is one request. Host your key at https://yourdomain.com/YOUR-KEY.txt, then:

curl "https://api.indexnow.org/indexnow?url=https://yourdomain.com/new-page&key=YOUR-KEY"

A 200 or 202 response means the URL is queued; coverage appears in Bing Webmaster Tools within days instead of weeks.

Structured data (SEO, not a GEO lever)

Organization, Product, FAQ and Article schema in JSON-LD, valid and matching the visible copy.

Schema earns you rich results in classic Google SEO. It is not a proven AI-citation lever: a controlled study (Ahrefs) measured no citation lift from adding JSON-LD, and Google states structured data isn't required for its AI features. We ship schema for SEO, not as an AI-visibility tactic. Typical effort: hours.

The minimal Organization block, in a script tag in your page head:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Company",
  "url": "https://yourdomain.com",
  "description": "One sentence matching your visible positioning.",
  "sameAs": [
    "https://www.linkedin.com/company/your-company",
    "https://www.g2.com/products/your-product"
  ]
}
</script>

Keep it consistent with the visible copy; mismatches are worse than absence.

Entity clarity (experimental)

Consistent naming and sameAs links so engines resolve your brand to one entity instead of confusing it with similarly named companies.

There is no published measurement of AI-citation lift from entity or knowledge-graph work, so we treat this as experimental and test it against our own measurement rather than sell it as proven. Typical effort: hours to days.

Factual accuracy surface

The pages engines quote facts from: pricing, founding dates, feature lists. Stale promo prices and undated claims get repeated to buyers verbatim.

Most hallucinations we log are not invented; they are outdated truths still published somewhere you forgot. Typical effort: hours.

Citation footprint

Presence in the third-party sources engines actually read for your category: review sites, vertical publications, Reddit threads, comparison posts.

Engines cite sources, not brands. If the sources that dominate your category's answers never mention you, you do not exist there. Typical effort: days to weeks.

Content extractability

Whether your pages answer questions in a liftable form: direct answers near headings, FAQ blocks, tables instead of marketing prose.

Engines quote the passage that answers the prompt. Pages that bury the answer lose the citation to a page that states it plainly. Typical effort: hours per page.

The pattern engines can lift, versus the one they skip:

Buried:   "In today's fast-moving landscape, teams need visibility..."
Liftable: "Acme reduces pipeline forecast error by 12 to 18 percent
           (internal benchmark across 40 customers, March 2026) by
           reconciling CRM stages against call transcripts."

A direct 20 to 25 word answer under each heading, with a dated, attributed number where one exists. This is the content lever with published evidence behind it: statistics, quotes and cited sources lifted AI visibility up to 40 percent in the founding GEO study (Aggarwal et al., KDD 2024).