AI-friendly content restructure
Clear question-answer format, semantic markup, definitional paragraphs that AI assistants can extract.
Google AI Overview, ChatGPT, Claude, Perplexity, and Gemini are the new front page of local search. Most agencies aren't optimizing for them yet. I am. Cherry Hill law firm cited inside Google AI Overview for high-intent queries within 30 days.
Why AI Overview matters
Google AI Overview appears above all organic results. Citation inside means top-of-page visibility.
Buyers ask ChatGPT 'best lawyer in [city]'. The mentioned firms get the inquiry β others don't.
Most competitors aren't optimizing for AI yet. The window to build citation authority is open now, not in 12 months.
AI assistants index your business as an entity with attributes, not just keywords. Different playbook required.
What you actually get
Content restructure, entity optimization, schema deployment, citation testing across 4+ AI engines, monthly presence reports.
Clear question-answer format, semantic markup, definitional paragraphs that AI assistants can extract.
Knowledge graph alignment, Wikidata presence where eligible, consistent entity attributes across the web.
ChatGPT, Claude, Perplexity, Gemini, and Google AI Overview tested monthly for your priority queries.
Service schema, FAQPage, HowTo, AggregateRating β every type AI engines use as primary input.
Where you're cited, where you're not, and exactly what content/schema is missing for the gap queries.
Track which competitors are getting cited and reverse-engineer the entity/schema patterns earning their citations.
How I work
AI Overview optimization compounds. The work shipped in month one continues earning citations for months after. The window for early-mover advantage is now.
Test your business in ChatGPT, Claude, Perplexity, Gemini, and Google AIO for priority queries. Baseline.
Rewrite high-priority pages in question-answer structure with clear definitional content.
Service, FAQ, HowTo schema deployed. Knowledge graph alignment via Wikidata where eligible.
Re-test all 4 AI engines monthly. Gaps surface new content priorities. Citations compound.
Receipts, not promises
Service schema deployment + content restructure earned Google AI Overview citations within 30 days.
Banyan Tree β schema + FAQPage deployment surfaced the school in AI Overview for parent queries.
Multi-city entity + schema strategy ranking across 21 Indian cities at top-3 for pandit queries.
Pricing
Single Site $1,500/mo Β· Multi-Location $3,500/mo Β· Custom (Franchise/Agency). All retainers include the full 7-service stack with weekly Geo-Grid reporting.
Straight answers
Yes β the underlying signals overlap. Schema markup, entity consistency, and structured content help all major AI engines. I test specifically in ChatGPT, Claude, Perplexity, Gemini, and Google AIO monthly to validate.
Cherry Hill saw citations within 30 days. Typical timeline is 30-60 days for service-specific queries. Brand-name citations are faster (often inside 2 weeks). Competitive head-term citations can take 90+ days.
Traditional SEO optimizes for keyword-based ranking. AI Overview optimization treats your business as an entity with attributes and trains AI engines to recognize and cite it correctly. The work overlaps significantly but the measurement and content patterns differ.
GEO is the umbrella term β yes. AI Overview optimization is the local SEO subset of GEO, focused on Google's AI Overview module and AI assistants that buyers actually use for local discovery.
They will, repeatedly. The work I do is built on durable principles β structured data, entity consistency, clear answer formatting. When Google updates the AI Overview algorithm, foundational entity work survives. Tactical patches happen in the monthly cadence.
Ready to be cited
I'll test your business in 4 AI engines and surface exactly which queries cite you, which don't, and the schema/content gaps causing the absence. Then decide if AI Overview work is the next move.