AI Visibility Audit — abccorp.example

Without a machine-readable statement of who ABC Corp is, AI answer engines have to guess which entity your pages describe, and they tend to default to better-documented competitors.

Add an Organization JSON-LD (a machine-readable metadata format Google and AI assistants parse) block to the abccorp.example homepage that names ABC Corp, its logo, its founding year and sameAs (a schema property that lists your brand's other web profiles) links to its official profiles. Keep the legal name identical to the name on the About page.

Place the block in the site-wide head template so it ships once. Validate it with a structured-data testing tool before release.

AI answer engines look to robots.txt for guidance on what they may read and cite. With no rules for their user agents, every AI crawler is allowed by default; explicit rules state which ones may read and cite your content.

The abccorp.example robots.txt does not block AI crawlers, but it also declares no rules for them. Add explicit Allow rules for the user agents used by AI answer engines and leave only the private paths (client portal, staging) restricted.

Ask the web team to deploy the change with the next release and re-fetch robots.txt afterwards to confirm the new rules are live.

A short, curated index of your most important pages gives AI systems a clean starting point instead of forcing them to infer structure from navigation.

Create /llms.txt on abccorp.example listing the service overview, pricing, support and About pages with a one-line description each.

Keep the file under one screen of text and update it whenever a top-level page is added or retired.

Prompts such as "which vendor should I choose for X" are answered from pages that state a direct answer early. ABC Corp's service pages open with marketing copy instead.

Restructure the five highest-traffic service pages so each opens with a two-sentence answer to the question buyers ask most, followed by supporting detail, typical engagement scope and a comparison table.

Start with the page that already ranks best in organic search so the change is easy to measure.

Expert authorship is one of the signals AI systems use to decide whether a page is safe to cite.

Add a named author, a short credential line and a last-reviewed date to each of the 12 guides on abccorp.example, and link each author to a bio page.

Use real staff who are comfortable being named; avoid generic team bylines.

Slow pages are fetched less reliably by answer engines and frustrate the visitors those answers send to you.

Compress and properly size the hero image on the homepage and the two top landing pages, and defer the chat widget script until after first interaction.

Re-test with a lab tool after each change so you can tell which fix moved the metric.

AI systems cross-check a brand against independent directories. Incomplete or inconsistent profiles weaken that confirmation.

Claim the ABC Corp profile on the main industry directories, and make the business name, description and website address match abccorp.example exactly.

Use a single shared document for the approved name and description so every profile stays consistent.

Independent mentions are what AI answer engines lean on when they recommend one vendor over another.

Pitch two data-backed stories a quarter to trade publications that cover your market, and give each story a stable page on abccorp.example that the coverage can link to.

Treat this as a standing programme rather than a campaign; results compound slowly.

Original data gives other sites a reason to cite ABC Corp, and gives answer engines a unique fact to attribute to you.

Survey your own customers and publish the anonymised results as an annual report with a downloadable data table.

Plan for several weeks of analysis and review before publication.