AI engine visibility
Whether your brand actually surfaces inside ChatGPT, Perplexity, Google AI Overviews, and Claude when prospects ask the kinds of questions that lead to deals, plus which competitors are showing up instead.
New discipline
How visible are you inside ChatGPT, Perplexity, and the next generation of AI answer engines?
The AI-Readiness Audit scores how AI engines see your brand today, where the gaps are versus your competitors, and what to fix first. The audit runs in a separate sub-app at app.nyman.media; it’s free and takes a few minutes.
Inside the report
What the audit actually checks
Citation quality
Which pages are being cited (and which aren't), whether the cited content is accurate and current, and whether you control the source or somebody else does.
Structured data + crawl surface
Schema.org coverage, sitemap depth, robots posture, and content freshness. The boring infrastructure that decides whether AI engines can read you at all.
Content & topical authority gaps
Where your competitors have built genuine topical authority and you haven't, ranked by how much it would actually move the needle on revenue-shaped queries.
Sequenced fix-list
Not a 200-item dump. A short, ranked list of fixes with expected lift, owner pattern, and estimated effort. The kind of plan a marketing team can actually run in weeks, not quarters.
Sample output
What the report looks like
AI-Readiness Audit · acme.example
Score 62/100AI engine visibility
38/100
- • Cited in 4 of 30 buyer-prompt tests (ChatGPT, Perplexity, Google AI Overviews, Claude)
- • Competitor “Stripe Atlas” cited in 22/30; competitor “Mercury” in 19/30
- • Brand surfaces only on direct-name prompts, not category prompts
Citation quality
71/100
- • Homepage cited 3×; pricing page never cited
- • 2 of 7 cited claims contain stale 2023 figures
- • G2 profile referenced as “Acme Inc.”: entity disambiguation gap
Structured data + crawl
54/100
- •
Organization+FAQPageset;Articlemissing on case studies - •
robots.txtblocks GPTBot (fix first) - • No
llms.txt; sitemap missing 30% of public URLs
Content authority gaps
82/100
- • Strong technical-blog corpus; weak comparison content
- • Top revenue-shaped queries owned by 2 named competitors
- • Founder-byline content rarely retrieved despite high-authority host sites
Sequenced fix-list
- Unblock GPTBot in
robots.txt· 10 min · expected lift: high - Publish
/llms.txt+/llms-full.txt· 2h · medium - Add
Article+FAQPageschema to 12 highest-traffic pages · 1d · medium - Build 4 comparison pages targeting category queries currently owned by competitors · 2 weeks · high
- Rewrite pricing page with structured pricing data + entity-anchored copy · 3d · medium
Anonymized excerpt. Your report uses your real domain, real prompts, real competitor set.
Practical outcome
What changes after the audit
Week 1
Three quick wins shipped
Crawler unblocks, missing schema, and stale entity references. The items that take hours, not weeks, and that compound across every AI surface.
Weeks 2–6
Citation surface area expands
Comparison pages, pricing structure, and entity-anchored copy go live. Re-running the same prompt set typically shows a 2–4× lift in citation rate within 30–45 days.
Quarter onwards
AI visibility joins the cadence
Monthly re-runs become part of the marketing operating cadence, the same way a team already tracks pipeline coverage or CAC payback. The audit is the baseline; the cadence is the engine.
The AI-search shift
Why this matters now
A meaningful share of B2B research is moving from classical search into AI answer engines. The brands that ChatGPT, Perplexity, and Google AI Overviews already trust as sources are accumulating an increasingly defensible advantage; the brands they don’t are getting quietly skipped over in deals they would have won six months ago. The audit gives you a clean, scored read on which side of that line you’re currently on, plus what to do next.
Audit FAQ