01 / ENTITY
Make the business unambiguous.
Business identity, trade, services, locations, service areas, expertise, operating hours and relationships are expressed consistently across the web.
AI SEARCH MARKETING / AEO / GEO
Be present when the customer asks an AI.
Search is becoming an answer layer. Hammer & Funnel builds the evidence, structure and local relevance that can make a home-service company easier for search engines and AI systems to understand and reference—without pretending there is a secret “AI ranking” switch.
THE AI SEARCH STACK
We optimize the information ecosystem, not just a page.
Google says the foundational SEO requirements and people-first content practices remain relevant for AI features. Our AI Search work extends that foundation into answer-oriented content, entity clarity, local evidence and measurement.
02 / ANSWERS
Build content around real questions.
Service-specific questions, diagnostic queries, pricing context, maintenance questions, “who should I call?” intents and location-specific needs become useful answer assets.
03 / EVIDENCE
Give AI systems reasons to trust the answer.
Reviews, first-party proof, author expertise, service details, project evidence, local references and consistent business information reinforce the picture.
04 / TECHNICAL
Make important information crawlable.
Indexability, internal linking, page architecture, structured data, canonicalization, performance and clean service/location relationships.
05 / LOCAL
Own the service-area context.
Google Business Profile, accurate service areas, local landing pages and consistent location information support local discovery. Google specifically recommends accurate service-area information for service-area businesses.
06 / MEASURE
Track visibility without vanity metrics.
Monitor search demand, indexed assets, branded queries, local visibility, AI citations where measurable, qualified calls, bookings, revenue and job economics.
AI SEARCH ARCHITECTURE
From service to citation.
A simplified view of how we connect your real-world operation to the information an answer engine can interpret.
Business reality
Trades · services · teams · locations · proof · jobs
Hammer & Funnel
Entity + answers + technical + local + evidence
Discovery layer
Google Search · AI features · ChatGPT · Gemini · Perplexity · other engines
WHAT WE BUILD
An AI Search operating layer for a home-service brand.
| Layer | Examples | Outcome to watch |
|---|---|---|
| Service architecture | HVAC repair, AC maintenance, emergency plumbing, deep cleaning, etc. | Clear intent matching |
| Location architecture | Dubai, Sharjah, Ajman + actual service areas | Local relevance |
| Answer library | FAQs, troubleshooting, comparisons, buying and maintenance questions | Useful answer coverage |
| Evidence layer | Reviews, projects, credentials, policies, photos, expertise | Trust and corroboration |
| Technical layer | Indexing, internal links, schema, page speed, canonical URLs | Crawlability and clarity |
| Conversion layer | Calls, WhatsApp, forms, booking, qualification | Qualified demand |
Research note: Google’s current guidance says there are no additional technical requirements specifically for AI Overviews or AI Mode; pages still need to meet normal Search technical requirements and follow people-first content best practices. See Google Search Central. Google also documents service-area setup for businesses such as plumbers and cleaners.
AI SEARCH ≠ CONTENT VOLUME
We would rather publish 30 useful answers than 300 empty pages.
Every asset should have a job: answer a real question, establish a service entity, strengthen local relevance, demonstrate expertise, or move a qualified customer toward action.
Talk about your AI Search opportunity →