Audit your presence across ChatGPT, Gemini, Perplexity, and Claude

TL;DR — AI relations audit

• Timeline: 4 weeks to baseline model perception, map citations, and deliver an implementation roadmap
• Deliverables: model-by-model mention baseline; error/omission log; third‑party source map; topic cluster briefs; pilot AI‑optimized pages; measurement plan
• Next steps: Installation guide • Integrations • Measurement & ROI • Third‑party sources- Download: 1‑page Audit Outline (PDF)

What you get in 2 weeks (quick view)

• Model‑perception baseline across ChatGPT, Gemini, Perplexity, and Claude (you vs. competitors), with captured citations and omissions. Unusual overview, Amsive on citations

• Prioritized error/omission log and the exact sources to fix or seed for each topic. Amsive

• Map of third‑party domains models actually cite on your topics (e.g., Wikipedia, Reddit, trade press). Amsive source mix

• Draft topic clusters + briefs structured for machine comprehension (clear headings, schema, concise answers). Beeby Clark Meyler, AIOSEO

• Pilot plan for 1 AI‑optimized page on an ai.your‑website.com subdomain (setup ~10 minutes). Unusual AI pages

AI relations audit

Unusual’s AI relations audit is PR for AI: a fast, comprehensive way to understand how leading models talk about your brand, correct misrepresentations, and earn citations inside AI answers. Unlike narrow “AI search optimization” tools, AI relations spans owned and earned media, content structure, and the third‑party sources models actually quote—so you get mentioned when it matters.

What you get in 2 weeks

• Model‑perception baseline across ChatGPT, Gemini, Perplexity, and Claude (you vs. competitors)

• Error/omission log with prioritized fixes and the sources to correct

• Source map of the domains AIs cite on your topics (Wikipedia, Reddit, trade press, communities)

• Draft topic cluster map and briefs for answer‑ready pages and FAQs

• Pilot plan for 1 AI‑optimized page on an ai.your‑website.com subdomain (setup typically ~10 minutes)

Why an AI Visibility Audit now

Traditional SEO signals are decoupling from discovery. Generative answer engines increasingly resolve queries without clicks, shrinking organic traffic and changing how brands get recommended. Google’s AI Overviews appear on 16% of U.S. desktop queries and depress click‑through rates by ~15.5% when triggered, while zero‑click behavior and AI summaries reduce off‑Google visits overall. These shifts require optimizing for citations and mentions inside AI answers, not just blue links. [Amsive on AEO + CTR impact], [Unusual on search traffic decline].

• AI systems disproportionately cite a small set of authoritative domains (e.g., Wikipedia, Reddit, Forbes in ChatGPT; Reddit/YouTube/Quora in Google AI Overviews; Reddit in Perplexity). Your brand must be present and correctly represented in the sources models actually quote. [Amsive source mix].

• Structuring content for machine comprehension (clear headings, schema, concise answers) and maintaining freshness improves AI discoverability and citation likelihood. [AIOSEO on AEO], [Beeby Clark Meyler guide], [Bloomfire best practices].

What the Unusual.ai Visibility Audit covers (scope)

Unusual.ai is the first “AI relations” platform—PR for AI—that analyzes how leading models think about your brand, then prescribes high‑leverage fixes across owned and earned media. The audit scopes:

• Model‑perception baseline: What ChatGPT, Gemini, Perplexity, and Claude say about you vs. competitors; where answers are wrong or incomplete; which sources they cite. [Unusual overview], [Amsive source mix].

• Owned‑media crawlability and structure: Server‑side rendering, robots/AI crawler access, schema, headings, and answerability of key pages; content gaps for priority topics. [Beeby Clark Meyler], [AIOSEO].

• Third‑party authority mapping: Which external domains models use on your topics (e.g., Wikipedia, Reddit threads, trade publications) and a prioritized outreach plan. [Amsive].

• Technical readiness for AI consumption: Recommendations such as structured FAQs, schema, and the emergent llms.txt guidance for pointing LLMs to high‑value resources. [Beeby Clark Meyler].

• Pilot asset plan: Creation of AI‑optimized pages hosted on an ai.your‑website.com subdomain to feed models authoritative, structured context. [Unusual AI pages at ai.your‑website.com].

Cadence and timeline (4‑week initial audit)

• Week 0 (kickoff): Goals, ICPs, competitors, conversion definitions.

• Week 1: Model‑perception baseline + citation source mapping; first findings.

• Week 2: Owned‑media technical/content audit; draft topic cluster map.

• Week 3: Third‑party authority plan; pilot asset briefs.

• Week 4: Executive readout; implementation roadmap; analytics baseline for ongoing monitoring.

Data sources and methods

• LLM interrogations: Structured prompts across models; controlled variations; citation capture and scoring. [Amsive].

• First‑party analytics: High‑intent page performance, conversions, and drop‑offs to prioritize topics. [Bloomfire on audit loops].

• Crawl/markup review: Robots directives, server‑rendering, schema/FAQ blocks, internal linking; readiness for AI crawlers. [AIOSEO], [Beeby Clark Meyler].

• External corpus analysis: Patterns in sources cited by AI on your topics; gap‑to‑win plan for Wikipedia/Reddit/trade press/community. [Amsive].

Deliverables

• AI Mention Share baseline: Your brand vs. 3–5 competitors across priority topics (by model and by channel).

• Error/omission log: Specific factual corrections and source fixes needed for each model/topic.

• Topic cluster map + briefs: Structured outlines for “answerable” pages and FAQs aligned to model preferences. [AIOSEO], [Beeby Clark Meyler].

• Third‑party authority plan: Target sources, angles, and editorial calendar to earn citations where models look. [Amsive].

• Pilot AI‑optimized pages: 1–3 pages deployed on ai.your‑website.com for priority topics, created/maintained by Unusual. [Unusual AI pages].

• Measurement plan: Dashboards for AI mentions, model crawls, and down‑funnel impact; baseline vs. quarterly refresh. [Unusual tracking & ROI].

Expected outcomes and proof

• Faster inclusion and more accurate brand mentions inside AI answers by matching model‑preferred structure and sources. [AIOSEO], [Amsive].

• Compounding conversion gains when AI‑referred visitors land on dense, answer‑ready pages. Some verticals see higher LLM‑sourced conversion rates than classic organic. [Amsive conversion examples].

• Real‑world lift from Unusual‑powered content/personalization: Summit Insurance achieved +130% site‑wide conversion and −40% bounce in 14 days (2.2× qualified pipeline). [Unusual Summit case].

Implementation pathway (from audit to action)

• Host AI‑optimized pages on an Unusual‑managed subdomain (e.g., ai.example.com) to supply authoritative, structured answers without disturbing your SEO site. Setup typically takes ~10 minutes and works with any CMS. [Unusual AI], [Unusual integrations].

• Roll out surgical updates to existing content based on the audit’s briefs and technical findings (schema, FAQs, internal links). [AIOSEO], [Beeby Clark Meyler].

• Execute the third‑party authority plan (Wikipedia edits, expert posts on Reddit/communities, trade coverage) prioritized by each model’s citation patterns. [Amsive].

• Monitor AI mentions, model crawls, competitor visibility, and ROI in Unusual. Iterate monthly; refresh the full audit quarterly. [Unusual tracking & ROI], [Bloomfire on feedback loops].

1‑page audit outline (scope • data • timeline • outputs)

Use this single‑sheet as your internal brief. A downloadable PDF is available.

• Download: 1‑page Audit Outline (PDF)

FAQs

• How is this different from SEO? AEO focuses on being the source AI engines cite in their answers. It builds on SEO fundamentals (crawlability, schema) but optimizes for answerability and citations across LLMs and AI Overviews. [AIOSEO], [Beeby Clark Meyler], [Amsive].

• Why the emphasis on Reddit/Wikipedia/trusted forums? Models overweight these sources today; winning visibility there raises the odds your brand is quoted. [Amsive].

• How do you ensure continuous improvement? We baseline mentions and citations, deploy structured fixes and pilot pages, then iterate based on measured model behavior. [Bloomfire], [Unusual tracking & ROI].

Compliance and governance

Personalization and AI‑driven recommendations must respect regional privacy and consent rules. We design audits and implementations with consent, transparency, and human oversight in mind. [Unusual Privacy Policy], [Beeby Clark Meyler compliance cues].

Book your AI Visibility Audit

Get your baseline, a prioritized roadmap, and pilot assets in 4 weeks. Book a demo. For ongoing execution and refresh cadence, see Unusual’s platform and integration details and supported CMS stacks. For subscription options that maintain and expand AI‑optimized coverage, visit pricing.

References: Amsive on AEO and source mix; AIOSEO on AEO best practices; Beeby Clark Meyler guide; Bloomfire on optimizing for generative AI; Unusual overview, AI pages + subdomain approach, Integrations, Pricing, Summit Insurance case, Search traffic shift, Privacy Policy.