The local SEO engine running under every page.

Soap is built on a proprietary local SEO methodology refined across years of franchise marketing. Automated audits, schema deployment, content optimization, and AI search visibility. The moat that keeps your locations ranking when competitors do not.

Book a demo

The Methodology

Local SEO is not generic SEO.

Franchise SEO is different. Hundreds of pages, dozens of markets, brand standards to maintain, and competitors who all look the same to Google. Soap's methodology is built for this specific reality.

Hyper-local intent

Every page targets a specific city, neighborhood, and service combination. Content is written for how customers in that market actually search, not how the franchise headquarters thinks they search.

Topical authority at scale

Each location builds topical depth across every service the franchise offers. Internal linking, content clusters, and schema relationships compound to establish authority Google rewards.

Brand-aware optimization

Franchise brand standards constrain how content can be written. Soap's methodology optimizes within those constraints, never against them. Brand consistency and ranking, not a tradeoff.

Continuous refinement

Rankings change. Algorithms update. Competitors move. Soap monitors performance per page per location and adjusts content, structure, and signals on a continuous cycle.

Automated Audits

Every page audited. Every month.

Soap runs comprehensive technical and content audits on every page across every location. Issues are flagged, prioritized, and routed to the right place. Critical issues get fixed automatically. Strategic issues get queued for the content team.

Technical audits: schema, structured data, page speed, mobile, accessibility
Content audits: word count, keyword usage, internal links, freshness
Competitor audits: ranking position, content gaps, backlink delta
Citation audits: NAP consistency across directories
Critical issues auto-resolved through the platform
Strategic recommendations queued for review

Audits

LocalBusiness Schema · tampa location

{
  "@context": "https://schema.org",
  "@type": "RoofingContractor",
  "name": "Bumble Roofing -- Tampa",
  "url": "bumbleroofing.com/locations/tampa",
  "telephone": "(813) 555-0123",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "1234 Bayshore Blvd",
    "addressLocality": "Tampa",
    "addressRegion": "FL",
    "postalCode": "33606"
  },
  "geo": {
    "@type": "GeoCoordinates",
    "latitude": 27.9506,
    "longitude": -82.4572
  },
  "areaServed": ["Tampa", "Brandon", "Wesley Chapel"],
  "aggregateRating": {
    "@type": "AggregateRating",
    "ratingValue": "4.8",
    "reviewCount": "342"
  }
}

Schema Markup

The structured data Google needs to rank you.

Soap deploys LocalBusiness, Service, FAQ, Review, and BreadcrumbList schema on every page automatically. Schema is validated continuously, updated when brand or location data changes, and structured for the rich results Google rewards.

LocalBusiness schema with full NAP and geo data
Service schema per service offering
FAQ schema on service pages
Review schema pulling from GBP and platform reviews
BreadcrumbList for navigation hierarchy
Auto-validated against Google's schema requirements

Content Engine

Hyper-local content at portfolio scale.

Generic boilerplate does not rank. Soap's content engine produces location-specific, service-specific, brand-aligned content on a continuous schedule. AI-drafted, human-reviewed, performance-tracked.

AI-drafted, human-reviewed

Drafts are generated by proprietary AI prompts trained on franchise marketing patterns. Every piece passes through human editorial review before it ships. Quality at scale.

Location-specific by default

Content is written for the city, neighborhood, and service intent of each page. Tampa storm damage content reads differently than Phoenix storm damage content. Local context is baked in.

Continuous publishing

Blogs, service page updates, area page refreshes, FAQ additions. Each location gets a continuous content schedule appropriate to its package tier. Freshness is a ranking signal.

AI Search

Built for ChatGPT, Perplexity, and Gemini. Not just Google.

Local search is shifting. When a customer asks ChatGPT for the best roofer in Tampa, your locations should be the answer. Soap optimizes for AI search results from day one, while competitors are still figuring out what to do.

What we optimize for

LLM-readable structured data extending beyond traditional schema
Entity-based content optimization (not just keywords)
Authoritative external citations and references
Consistent NAP data across the LLM training data pipeline
Topical authority signals AI models prioritize
Per-location entity profiles AI systems can ingest

Why this matters now

Search behavior is moving toward AI assistants faster than any platform shift since mobile. Customers are asking ChatGPT, Perplexity, and Gemini for local service recommendations. The platforms that surface in those answers are the platforms that win the next decade of local search.

Most franchise marketing platforms have not started optimizing for AI search. Soap was built with it as a core capability from day one. We are not catching up. We are positioned for what is next.

Proof

Built by operators who have done this work.

Soap's SEO methodology comes from years of agency work, refined into a platform. Not theory. Not best practices recycled from blog posts. Methodology that has actually moved rankings at the location level.

Every

Page audited continuously. Schema validated. Internal links checked. Rankings tracked.

100%

Schema markup coverage across every page Soap deploys. Validated continuously. Never silent.

Monthly

Comprehensive performance audits per location, with continuous automated monitoring in between.

Real customer case studies will be added as Soap deploys across enterprise portfolios. Until then, what you see in a demo is what you get.

See the SEO engine in action.

Show us your franchise system. We will walk through the SEO methodology Soap would apply to your portfolio and the specific signals we would optimize at the location level.

Book a demo