SEO / AEO wins
One engine, one answer
Ranked link or a single citation
The question every marketer asks first
What Is AI Optimization (AIO) and How Is It Different from SEO and AEO?
SEO earns a ranked link. AEO earns a citation inside one AI answer. AIO is bigger than both: it covers your complete AI presence across ChatGPT, Claude, Gemini, and Perplexity — how they describe you, whether they recommend you, and how accurately they understand your brand. AIO is the umbrella; AEO and SEO sit beneath it.
Most buyers no longer open a search results page and click ten blue links. They ask ChatGPT or Perplexity "who's the best option for X?" and act on the brands named in that response. If you're not in the answer, you don't exist for that query across any of these platforms — and there is no page two in an AI chat.
AIO wins
Every AI assistant
Present, accurate, recommended
How to Get Your Brand Mentioned in ChatGPT, Claude, Gemini, and Perplexity Answers
Each AI assistant uses different signals to decide which brands to name. Getting consistently mentioned across ChatGPT, Claude, Gemini, and Perplexity requires answer-first content, strong entity signals, structured data, and off-site citations — all working together. No single tactic wins all four; a coherent AIO strategy does.
We map the buyer prompts that trigger AI recommendations in your category, build answer-first content around each one, and reinforce the entity signals — schema, off-site presence, knowledge panel data — that make an AI confident enough to name you by brand. The goal is consistent, accurate citation across every engine your buyers use.
How to Audit Whether AI Assistants Are Describing Your Business Accurately
Many businesses discover through an AIO audit that ChatGPT or Gemini describes them with outdated services, wrong positioning, or even attributes them to a competitor. An accuracy audit tests each engine with your brand name, category, and service questions — then maps every inaccuracy back to a fixable cause.
- Brand-name prompts — what does each engine say when asked directly about your company?
- Category prompts — are you named when buyers ask "who's the best for X" in your space?
- Competitor comparison prompts — do you appear when buyers ask AI to compare options?
- Accuracy check — are services, locations, and differentiators described correctly across all four engines?
What Structured Data and Schema Help AI Systems Understand Your Brand?
Schema.org markup — especially Organization, Service, FAQ, and HowTo types — tells AI engines your brand name, category, services, and location in machine-readable form. Combined with a consistent entity footprint across the web, structured data makes it easier for ChatGPT, Gemini, and Google AI Overviews to describe you accurately and cite you confidently.
- Organization schema — your name, URL, description, and contact data, machine-readable
- Service schema — each service tied to your entity, with clear category labels
- FAQ schema — question-and-answer pairs that AI engines extract directly
- HowTo schema — process-based content that earns citations for "how do I…" prompts
- Speakable markup — flags the key paragraph Google and voice assistants should read aloud
Find out what every AI says about you today.
Run a free visibility check across ChatGPT, Perplexity, Gemini, and Claude — or jump straight in.
How to Find the Prompts Your Customers Are Asking AI About Your Industry
Your buyers aren't typing keywords into Google anymore — they're asking ChatGPT and Perplexity full questions. A prompt map turns your customers' real AI queries into content targets. Sources include customer interviews, sales call transcripts, support tickets, AI-generated suggestion tools, and competitive gap analysis. Prompt research is the new keyword research.
We build a prompt map of 30–100 buyer questions sorted by funnel stage — awareness, consideration, and decision. For each prompt we run live tests across ChatGPT, Perplexity, Gemini, and Claude to see who gets cited, what they say, and where the gaps are. Your content roadmap flows directly from that data.
Every engine, one playbook
Which AI platforms — and do they require different strategies?
Yes, they source content differently — but you don't need five separate strategies. One entity-strong, answer-first, schema-rich, well-cited site performs across all of them. Prompt-testing and reporting, however, run per engine, because citation coverage varies significantly across ChatGPT, Perplexity, Gemini, and Claude.
| Engine | How it picks sources | What we optimize |
|---|---|---|
| ChatGPT | Training data + live browsing (Bing-backed) | Brand entity clarity, off-site citations, accurate training signals |
| Perplexity | Real-time retrieval, cites inline | Answer-first blocks, crawl access, real-time citation signals |
| Google AI Overviews | Indexed content + E-E-A-T + schema | Technical SEO foundation, FAQ/HowTo schema, BLUF summaries |
| Gemini | Google knowledge graph + GBP | Knowledge panel, entity truth docs, structured data |
| Claude | Training + some retrieval | Entity consistency, factual accuracy, clean structure |
What you get
A system that makes every AI assistant know your brand.
Every AIO engagement turns your site and entity footprint into the signal AI engines trust. No guesswork, no vanity metrics — a repeatable system of prompt research, structured content, schema, and authority signals, tracked per engine so you watch your citation share move over time.
01
AI Audit
Test your brand across ChatGPT, Claude, Gemini, and Perplexity. Log what each says.
02
Prompt Map
The exact questions your buyers ask AI, sorted by funnel stage and intent.
03
Answer-First Content
Pages engineered to be quoted, with Organization, FAQ, and HowTo schema on every one.
04
Citation Tracking
Your share of AI answers, per engine, reported monthly with competitive benchmarks.
Measurement
How to Track and Measure Your AI Visibility Across Multiple Platforms
Track your AI visibility by running a consistent prompt set across ChatGPT, Perplexity, Gemini, and Claude on a regular cadence — logging whether you're named, where you appear, and how you're described. Citation share, the percentage of prompts where your brand is named per engine, is the core metric. We layer in sentiment, position, and branded search proxies.
Metric
Citation Share
% of prompts naming you, per engine
Metric
Position
Where in the answer your brand appears
Metric
Sentiment
Named vs actively recommended
Metric
Proxies
Branded search lift, lead self-reports
The method
A system, not a guess.
01
Research
Map the prompts your buyers ask AI — and who ChatGPT, Gemini, and Perplexity cite today.
02
Build
Produce the structured, citable answers every engine trusts, with schema on every page.
03
Deploy
Push live, verify crawlable by AI bots, indexed, and machine-readable.
04
Measure
Track citations across ChatGPT, Perplexity, Gemini, and Claude. Report the trend monthly.
FAQ
How do I audit ChatGPT, Claude, Gemini, and Perplexity for misinformation about my brand?
Ask each engine your brand name, key services, and category questions. Record what it says, check for inaccuracies, and log gaps where competitors are named instead. Then fix the underlying causes: entity inconsistency, missing or thin content, and weak off-site citations.
Why does my brand appear in one AI assistant but not the others?
Each engine sources differently. ChatGPT leans on training data and Bing browsing; Perplexity runs real-time retrieval; Gemini uses the Google knowledge graph; Claude relies on training and retrieved sources. Gaps usually trace to entity inconsistency, thin content, or missing off-site citations — all fixable.
Which pages should I fix first for the fastest gains in AI visibility?
Start with your homepage, primary service pages, and any FAQ or about page. These anchor your entity signals and are most likely to be consulted first by AI models. The audit identifies exactly which pages have gaps — and ranks them by expected impact.
How do I compare my AI visibility against competitors?
Build a shared prompt set of 20–50 buyer questions in your category, run them across ChatGPT, Perplexity, Gemini, and Claude, and log which brands are named. That's your baseline. Run it monthly; the delta over time shows whether you're gaining or losing share.