Growth & Marketing
Optimize for AI Overviews, ChatGPT, Perplexity, and answer engines. We restructure content, sharpen entity signals, and build the kind of source material that LLMs actually quote.
What this solves
Search is splitting into traditional results and AI answers. Brands without structured, source-worthy content disappear from both surfaces at the same time.
Without clear structure and authority signals, your content isn't picked up by AI Overviews or chat answers.
Long, vague paragraphs without facts, definitions, lists, or comparisons get skipped in favor of cleaner sources.
AI engines lean heavily on structured data and entity graphs to understand who you are and what you do.
Most analytics ignore answer-engine traffic and brand mentions inside LLM responses.
Your category is being defined by other people's definitions — and AI is repeating them.
What we cover
A practical AI visibility layer built on top of strong traditional SEO fundamentals — not a replacement for them.
01
How your brand and category show up across ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews — and who's being cited instead.
02
Define what you are, what you do, and who you serve in formats AI can actually understand and reuse.
03
Reframe pages around the real questions buyers ask — with direct answers above the fold, then context.
04
Definitions, comparisons, pros and cons, step-by-step formats, and tables built for extractive AI.
05
High-leverage formats that AI engines reach for when summarizing a category.
06
Schema, source attribution, freshness signals, and author credentials — the things LLMs use to pick sources.
07
Every AI improvement is double-checked against Google Search so you don't trade one channel for another.
08
Track recurring prompts, citations, and brand mentions across major AI engines over time.
What we deliver
A documented AI visibility program with measurable mentions, not vibes.
01
AI visibility audit across ChatGPT, Perplexity, AI Overviews
02
Entity and brand definition pages
03
Quotable content patterns (definitions, facts, comparisons)
04
Schema and structured data implementation
05
Source-worthy long-form content
06
FAQ, comparison, and 'best of' pages
07
Monitoring of brand mentions in LLM answers
08
Quarterly visibility report with prompts and citations
How we work
Capture how your brand and category currently appear across answer engines and AI search surfaces.
Map the prompts buyers run, the entities tied to your category, and the gaps where competitors win citations.
Reshape existing pages into answer-friendly formats — definitions, comparisons, lists, schema.
Publish the comparison, FAQ, and explainer pages that AI engines need to cite your category honestly.
Earn mentions on sources that LLMs already trust — directories, datasets, partner content.
Quarterly visibility checks, prompt tracking, and continuous adjustment as the AI landscape shifts.
Project examples
Anonymous examples of the types of projects this work supports.
SaaS
Restructured category pages around buyer prompts and added schema and comparison content. Brand started appearing in AI Overviews for core terms within two quarters.
Consulting
Built definition and FAQ pages around the firm's specialty topics so AI engines could quote them as a source instead of summarizing competitors.
Connected services
Services that naturally strengthen this work.
Industries
Where this work tends to make the biggest impact.
FAQ
Short, honest answers. If you have something more specific, just ask.
Contact
We'll run a free visibility check across major AI engines so you can see who they're quoting today — and what it'll take to be one of them.