Find out if AI is citing your business — then raise the odds.
When buyers ask ChatGPT, Claude, Perplexity, or Gemini for a recommendation, those engines name a handful of brands. The AEO Citation Audit & Optimizer Kit scores how citable your pages are today on a 5-axis rubric, then walks you through a 30-day plan to improve the signals AI engines actually read. It audits and raises the odds — it doesn't promise a citation, because answer engines are non-deterministic.
- Query Generator30–50 buyer-intent queries across 4 funnel stages
- Citation Index audit100-point, 5-axis scoring rubric
- 30-day playbookFoundation → Content → Amplification
- Schema Library12 JSON-LD templates + 8 content patterns
Your buyers are asking AI for recommendations. You have no idea if it's naming you.
Search is splitting in two. Half your buyers still type a query and scan blue links. The other half ask an answer engine and take the three brands it names. If you're not in that short list, you never enter the consideration set — and you'll never see it in your analytics, because there was no click to track.
Most SMBs aren't missing from AI answers because their content is bad. They're missing because the entity signals that tell an engine what their business is — schema, canonical naming, citation sources — are incomplete or inconsistent.
You can't fix what you haven't measured. This kit gives you the measurement first.
- 01Presence — Does the AI name your brand at all across your query set?
- 02Prominence — When named, are you first, middle, or buried in the list?
- 03Accuracy — Does the AI describe your offer and category correctly?
- 04Freshness — Are citations reflecting your current positioning or stale data?
- 05Sentiment — Does the AI frame your brand positively, neutrally, or skeptically?
Clear about the lane. No inflated promises.
- An audit toolkit that scores how citable your pages are to AI answer engines.
- A 100-point Citation Index across Presence, Prominence, Accuracy, Freshness, and Sentiment.
- A query generator that builds your buyer-intent test set in minutes.
- A library of paste-ready JSON-LD schemas and answer-first content patterns.
- A 30-day playbook to raise the score, with a re-audit to measure the lift.
- A guarantee that AI will cite you. Answer engines are non-deterministic.
- A backlink service or a link-buying scheme.
- A one-click fixer — the playbook is real work, ~30–60 min/day for 30 days.
- A replacement for SEO. It targets a different surface and complements it.
- A tool that submits anything to the engines on your behalf — you stay in control.
The honest frame. AEO is probabilistic. The same question can surface different brands on different days. This kit improves the signals you control and gives you a repeatable way to measure movement — it raises the odds of being cited. It can't promise the citation, and it never pretends to.
Four modules. Sequenced to take you from baseline to lift.
01 · Query Generator
Plug in your niche, location, ICP, and offer. The generator builds 30–50 buyer-intent test queries across discovery, comparison, decision, and post-purchase stages — covering 8 industries plus a custom mode. This is the test set you run against the engines.
02 · Audit & Scoring
Run each query through ChatGPT, Claude, Perplexity, and Gemini, then score the responses on the 100-point Citation Index — five axes, 20 points each. The output is your day-1 baseline and a tier verdict from Invisible to Dominant.
03 · 30-Day Playbook
Foundation (entity hygiene + schema), Content (answer-first pillar and clusters), Amplification (freshness, reviews, citation network). One ~30–60 minute task a day, each tied to the axis it moves, ending in a day-30 re-audit.
04 · Schema Library
12 production-ready JSON-LD templates — Organization, LocalBusiness, Person, Article, FAQPage, HowTo, Product, Service, and more — plus 8 answer-first content patterns the engines lift from. Copy, fill the placeholders, validate, deploy.
Baseline today. Lift over 30 days. Measure the difference.
Audit
Generate your query set and run it across the four engines. Score on the rubric. In about 90 minutes you have a hard number — your day-1 Citation Index — and you know exactly which axis is dragging you down.
Optimize
Work the 30-day playbook. Fix the entity foundation first (it moves the needle most), publish answer-first content, then amplify with freshness and citation signals. Each day's task names the axis it targets.
Re-audit
On day 30, run the exact same query set again and re-score. Compare to your baseline to see which axes moved. Then decide: defend, expand to a new pillar, or repeat the cycle in another niche.
The rule the kit enforces: measure or it didn't happen. The playbook starts with a baseline and ends with a re-audit using the identical query set, so you're comparing like-for-like instead of trusting a vibe. Because answers shift day to day, you save your day-1 responses as evidence and score against the same rubric both times.
Built for operators who can edit their own site — and want a number, not a vibe.
Local & service businesses
Home services, healthcare, legal, fitness, finance — anyone fighting for 'best [thing] near me' answers. The kit ships industry-specific query templates and LocalBusiness schema.
Founders & marketers
B2B SaaS, e-commerce, and DTC operators who suspect AI engines are recommending competitors and want a structured, repeatable way to close the gap.
Agencies & consultants
Single-operator license across unlimited client projects. Run the audit as a paid deliverable, then execute the 30-day playbook as a retainer engagement.
Exactly what you get for $79, and what you don't.
- Query Generator — 8 industries + custom, 4 funnel stages.
- The 5-axis, 100-point Citation Index scoring rubric.
- 30-day playbook: Foundation, Content, Amplification.
- 12 JSON-LD schema templates + 8 answer-first content patterns.
- Single-operator license · unlimited projects · 30-day refund.
- Done-for-you implementation — you run the playbook yourself.
- Backlinks, PR placements, or review generation as a service.
- An API that queries the engines for you. You run the audit by hand.
- Any promise of a specific citation, ranking, or traffic number.
Pairs well with the Synthetic Customer Research Panel — sharpen the positioning the engines will read before you spend 30 days reinforcing it. And once you're generating answer-first content for the playbook, the broader RedHub systems catalog has kits for the writing, voice, and ops layers around it.
The questions operators actually ask before optimizing for AI search.
- AEO is the practice of improving whether — and how prominently — your business gets named when an AI answer engine like ChatGPT, Claude, Perplexity, or Gemini synthesizes a response to a buyer-intent query. Unlike SEO, which optimizes for blue-link rankings, AEO optimizes for being cited inside the generated answer itself. This kit audits where you stand today and gives you a 30-day plan to raise your citation odds.
- No, and any tool that promises that is selling fiction. Answer engines are non-deterministic — the same query can return different brands on different days. What this kit does is measurable: it scores how citable your pages are right now on a 5-axis rubric, fixes the entity and schema signals AI engines actually read, and re-audits at day 30 so you can see the lift. It improves the odds and gives you a number to track. It does not promise a citation.
- Four modules. (1) A Query Generator that builds 30–50 buyer-intent test queries for your niche across four funnel stages. (2) An Audit & Scoring rubric — the 100-point Citation Index across five axes: Presence, Prominence, Accuracy, Freshness, and Sentiment. (3) A 30-day playbook split into Foundation, Content, and Amplification phases, one ~30–60 minute task per day. (4) A Schema Library of 12 ready-to-paste JSON-LD templates plus 8 answer-first content patterns.
- SEO tools measure where your page ranks in a list of links. This measures whether AI engines name your brand inside a generated answer — a different surface with different signals. The kit focuses on the entity graph (Organization/Person schema, canonical naming, citation sources) and answer-first content structure that LLMs lift from, not keyword density or backlink counts. It's a complement to SEO, not a replacement.
- You'll want access to the answer engines you're auditing — ChatGPT, Claude, Perplexity, and Gemini. The free tiers are usually enough to run a baseline audit. The kit is the rubric, query set, schema templates, and playbook you run against those engines; you bring the engines. Most users run the full audit in about 90 minutes.
- The audit itself is one focused session — roughly 90 minutes to generate queries, run them across the four engines, and record your day-1 Citation Index. The 30-day playbook is the lift work: 30–60 minutes a day. Because answer engines re-crawl and re-synthesize on their own schedule, movement timing varies — the playbook ends with a day-30 re-audit so you measure the actual change rather than guess at it.
- Operators, founders, marketers, and agencies who've noticed their business isn't showing up when buyers ask AI for recommendations — and want a structured way to fix it. It works across home services, healthcare, legal, B2B SaaS, e-commerce, agencies, fitness, and finance (plus a custom mode for anything else). If you can edit your own site's schema and content, you can run this.
- Yes. The kit is licensed for single-operator use across unlimited projects — your own business, your agency clients, your portfolio. Run the audit and 30-day playbook for as many businesses as you like. Team licensing is available on request through the RedHub AI support inbox.
- 30-day no-questions refund. If you run the baseline audit and the rubric doesn't change how you see your AI-search visibility, email support and you get the $79 back. One-time purchase, no subscription.
Stop guessing whether
AI is recommending you.
Run the audit, get your Citation Index, and work the 30-day playbook. $79, once — and you can run it on every business you ever touch.
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