Schema markup is what tells Google, ChatGPT, Claude, Perplexity, Gemini, and Apple Intelligence that your business is one entity, not three. Without it, every brand mention you earn from now on points at the wrong company. With it, every mention points at you. We deploy the most rigorous Schema Marketing service in the market, fixed price, fourteen days, with a written 30-60-90 day outcome commitment.
The standard agency move is to install Yoast or Rank Math, fill the business name and logo, and call schema "done." That deploys roughly five percent of the schema work that matters in 2026. The other ninety-five percent is the entity-grounding layer that decides whether AI engines can confidently name and cite your brand.
The math is brutally simple. Brand mentions correlate with AI Overview citation at three to one over backlinks. Domain Authority predicts under four percent of AI citations. Brands with fewer than fifty independent mentions across high-trust sources fail to be recognized by major LLMs in seventy-two percent of relevant prompts. The shift away from links toward entity authority is already done. Schema is the wire that connects every mention you'll earn from now on to one canonical brand record.
If your business name appears in five places online with five different addresses, three different founders, and two different industries, AI engines either pick one (likely the wrong one), pick none, or pick a competitor with cleaner data. That is the disambiguation tax. It is silent. It compounds. Every press mention, podcast appearance, listicle, and Reddit thread you earn while the disambiguation tax is in place flows away from you. Schema Marketing eliminates the tax in fourteen days.
No vendor-blog claims. No marketing fluff. If we cite a number, the source is in our master playbook with the URL.
Schema is structural. Once it ships and validates, every brand mention you earn for the next decade points at one canonical record. Every press feature, podcast guest spot, Reddit thread, customer review, and trade publication article that mentions your business name accrues to that record instead of dispersing across the entity confusion that costs most agencies their AI visibility.
Schema is not "do once, get one win." It is the wire that every future PR placement, content asset, link, and brand mention runs over. Spend $5,000 on a Forbes mention before schema is right? Most of that value disperses. Spend the same $5,000 after? It accrues to the entity. The schema deploy is the leverage point.
Building a 50+ independent-mention authority graph organically takes 12 to 24 months and tens of thousands of dollars. Deploying the schema layer that lets every mention you do have count, plus a Wikidata entity that anchors the brand to the global Knowledge Graph, takes fourteen days and costs $1,500 to $3,500. The ratio of cost-to-effect is unmatched in SEO.
Schema is finite. Twelve types, fifteen sameAs URLs, one Wikidata entity, four validation checks. Once it is right, paying more does not improve it. Most agencies bury schema in $3,000+ monthly retainers where it never gets prioritized. We sell it as a finite, fixed-price, ship-it-or-refund product, then move on.
Most agencies deploy one schema type. We deploy twelve, layered correctly, each one paste-ready and bound to your data. The list is not aspirational. It is the standard.
LegalService for law firms, Farm for farm-DTC, Plumber for trades, Restaurant, Store, MedicalBusiness, FinancialService. Full property set: name, legalName, founder, foundingDate, knowsAbout, areaServed, contactPoint, sameAs.
Enables the sitelinks search box in Google. Anchors every page to the site's entity graph via @id references.
Page-level node with isPartOf linking to the WebSite, about linking to the Organization, and primaryImageOfPage. Completes the entity graph.
Generated from URL hierarchy. Helps engines understand page relationships and surfaces breadcrumb rich results in SERPs.
Founder + key staff with full credential chain: jobTitle, alumniOf, hasCredential, knowsAbout, memberOf, sameAs. The single biggest content-quality signal we deploy in 2026.
One per service offering. Linked to Organization as provider. Includes areaServed, serviceType, hasOfferCatalog with Offer items.
Five Q&A pairs per cornerstone page. Answers 40 to 75 words each (the empirical citation sweet spot per the Princeton GEO study).
Steps, supplies, tools, total time. Engines treat HowTo blocks as quotable atomic answers and surface them in AI Overviews and rich results.
Every blog post wired to a real Person via @id. Article inherits the author's full E-E-A-T claim set. Speakable schema marks the answer block.
Full property set including brand, sku, gtin, price, availability, aggregateRating (genuine reviews only). For farm-DTC, beef shares, etc.
Either as the @type of Organization (LegalService, Plumber, etc.) or in addition. Geo coordinates, opening hours, areaServed list.
thumbnailUrl, uploadDate, contentUrl, transcript, chapter timestamps. YouTube long-form is now the #1 social citation source for AI engines.
Most agencies deploy a sameAs chain with three URLs (Facebook, LinkedIn, maybe Yelp). Schema Foundation deploys twelve to fifteen, spanning social platforms, vertical-specific industry directories, knowledge graph anchors (Wikidata, Wikipedia where eligible), professional registries, and owned media. Each URL is HEAD-checked on delivery and re-checked monthly at the Authority+ tier.
The reason the count matters: AI engines reconcile entities by triangulating identifiers. Three URLs is a coin flip. Twelve to fifteen is structural certainty.
Schema.org JSON-LD on the site tells engines the entity exists. Wikidata tells engines the entity is real, public, and notable. The two together separate "schema deployed" from "entity recognized." Included in Schema Authority and above.
Wikidata is the seed dataset for Google's Knowledge Graph, Bing's Knowledge Graph, Apple's KG, and the entity disambiguation systems inside ChatGPT, Claude, Perplexity, and Gemini. A Wikidata Q-id with ten properly-cited claims gives every AI engine a stable canonical reference for your brand.
It is the closest thing in 2026 to a registered trademark for your AI-search identity. The brands that have one are cited correctly. The brands that don't are confused with competitors, omitted from answer sets, or replaced with a directory listing that ranks for the same query.
No "ship it and hope" deploy. We don't bill until every cornerstone page passes every check.
Zero errors. Warnings reviewed but acceptable for non-critical fields. Run on every cornerstone URL.
validator.schema.orgAt least one rich result type detected per cornerstone page. Catches Google-specific property requirements that the base validator misses.
search.google.com/test/rich-resultsSchema is parsed and listed under "Markup" in the Bing inspection report. Bing powers ChatGPT search; if Bing sees it, ChatGPT sees it.
Bing Webmaster ToolsSchema is in the HTML response body, not just JS-injected. AI crawlers don't execute JavaScript, so JS-injected schema is invisible to GPTBot, ClaudeBot, PerplexityBot, and Bytespider.
curl -s URL | grep ld+jsonCompare what you'd otherwise spend to achieve the same entity-grounding outcome through pure earned-media work. The numbers below are conservative ranges from independent agency rate cards, not aspirational figures.
Schema is not a substitute for any of these line items. It is the multiplier. Without it, every dollar you spend on the items below leaks. With it, every dollar accrues to one canonical entity.
No "it depends." Specific deliverables, specific dates, specific measurable outcomes. The plan goes into the Statement of Work you sign on day zero.
Schema deployed across all cornerstone pages. Schema.org validator passes with zero errors. Rich Results Test shows eligibility. First-party HTML render confirmed. Validation report delivered.
Bing Webmaster Tools shows the schema indexed. Google Search Console "Markup" section shows new schema types. Run audit_technical.py: section score lifts from baseline to 13-15/15.
One to three rich snippet appearances visible in Google. Bing AI Performance Report shows brand citation activity. sameAs chain fully populated. Wikidata entity created (Authority+ tier).
Review eligible rich-result appearances and the Knowledge Graph submission where included. Repeat the baseline AI prompt panel and report observed changes without assuming a fixed uplift.
Pick the tier that matches the depth of entity work your business needs. Every tier credits 100% toward a GEO retainer if you sign within 60 days. The math stays whole, the friction goes to zero.
Audit + deploy kit. Self-install. 5-day turnaround.
Audit + we deploy + 14-day re-validation. Most popular.
Foundation + Wikidata + Person E-E-A-T + 6 months validation.
Authority + KG claim + Wikipedia sprint + quarterly re-deploy.
Every tier credits 100% toward a GEO Foundation+ retainer if you sign within 60 days. The math stays whole. See GEO retainer pricing →
A law firm's sameAs chain is not a farm's sameAs chain. The schema engine adapts itself to your category before any work ships.
LegalService schema with state bar credential chain. Avvo, Justia, Martindale, Super Lawyers, Best Lawyers, state bar registry in sameAs. Attorney Person entities with full E-E-A-T. Bar advertising compliance baked in (no fabricated reviews, no specialty claims without certification, no fee guarantees).
Farm or LocalBusiness schema with Product schemas for each share size. LocalHarvest, EatWild, USDA Local Foods Portal, AGA / AWA / Real Organic in sameAs. Recipe schema for cookbook content. AggregateOffer for share variants.
Trade-specific schema (Plumber, HVACBusiness, Electrician). Yelp, BBB, Houzz, Angi, Thumbtack, Nextdoor in sameAs. Service schema per service offering with areaServed list. Multi-location LocalBusiness pattern for franchises.
Our Schema Marketing Master Plan is a 17-section canonical playbook covering twelve schema types, the sameAs chain build-out, the Wikidata claim graph, the E-E-A-T Person spec, AI Overviews eligibility signals, eight stack-specific deploy SOPs, and the four-check validation rigor. Every empirical claim in it is cited to primary research. New clients get access on day one.
Schema is finite. Twelve types, fifteen URLs, one Wikidata entity, four checks. Most agencies bury it as one of fifteen line items in a $2,500+/mo retainer where it never gets done. We sell it as a fixed-scope, fixed-price product, with a written 30-60-90 day commitment, with the $1,500 (or $3,500) crediting toward retainer if you upgrade.
Schema.org validator pass + Google Rich Results Test eligibility + Bing URL Inspection confirmation + first-party HTML render check via curl. All four must pass on every cornerstone URL. We don't bill until they do. The render check is the one most agencies skip; it's also the one that catches the JS-injection trap that makes schema invisible to GPTBot and ClaudeBot.
Schema Marketing is the productized, end-to-end deployment of the entity-grounding layer of your website: twelve schema types (not one), a verified sameAs chain of twelve to fifteen URLs (not three), a Wikidata entity with full claim graph, E-E-A-T Person schemas for your team, four-check validation rigor, and a written 30-60-90 day outcome commitment. Most "schema markup" your SEO already does stops at one Organization block on the homepage and skips everything that compounds into AI citation authority.
Yoast and Rank Math generate one Organization block automatically. They do not build the sameAs chain, file Wikidata claims, mark up authors with full E-E-A-T credentials, deploy HowTo or Service or Person or Product schemas with the full property set, validate against four standards, or run the first-party HTML render check that catches JS-injection traps. The plugins are the floor. Schema Marketing is the ceiling.
Schema is live on day 14. After launch, we check validation and indexing, then monitor eligible search appearances and repeat the recorded AI prompt panel. Search features and AI citations are determined by the platforms; implementation does not guarantee an appearance or a fixed mention-rate increase.
Yes. The Schema Marketing master playbook includes eight to twelve step deploy SOPs for WordPress (with Yoast, with Rank Math, and with no SEO plugin), Static HTML, Shopify, Squarespace, Webflow, and Headless (Next.js, Remix, Astro). The deploy approach changes per stack; the deliverable does not.
Wikidata is the structured-data sister of Wikipedia. It is the seed dataset for Google's Knowledge Graph, Bing's Knowledge Graph, Apple's Knowledge Graph, and the entity disambiguation systems inside ChatGPT, Claude, Perplexity, and Gemini. A Wikidata Q-id with ten properly-cited claims gives every AI engine a stable canonical reference for your brand. Without it, your brand is a string match. With it, your brand is an entity. We file the entity for you at the Authority tier and above.
Then the $500 Schema Audit will tell you exactly what coverage you have, what coverage you're missing, what's malformed, and what needs to be re-deployed because it's JS-injected (the most common silent failure). About 70% of the audits we run on existing schema deploys turn up at least one type that's invisible to AI crawlers because of a JS-render trap.
Yes. The $500 Schema Audit explicitly includes the deploy kit so you can install yourself. About 30% of buyers self-install. The other 70% upgrade to the $1,500 Foundation tier where we deploy and validate, because the time cost of doing it correctly across twelve schema types and a fifteen-URL sameAs chain usually exceeds $1,000 of internal team time anyway.
Yes. Every tier credits 100% toward a GEO Foundation+ retainer if you sign within 60 days. So Schema Foundation at $1,500 is effectively net $0 if you upgrade to a $2,500/mo GEO retainer afterward (the $1,500 absorbs into month one). The credit makes the schema product the lowest-friction way to start working with Timpson Marketing.
We don't invoice the second 50% until all four checks pass on every cornerstone URL. If validation fails on a third-party blocker (e.g., your CMS has a quirk that blocks a specific schema type), we work the issue and re-validate at no additional cost. The deliverable is the validation pass, not "we tried."
Real concern. WordPress theme updates can override custom injection. SEO plugin updates can change the schema format. sameAs URLs go 404 when a social account is renamed. Wikidata claims can be reverted by another editor. Schema Authority and Schema Dominance tiers include monthly automated re-validation with Slack alerting on regression, monthly sameAs liveness checks with a 24-hour replacement SLA, quarterly schema re-deploy as new content launches, and Wikidata watch for revert protection.
MEASURED CLIENT RESULTS
organic search sessions, year over year
Pro Line Parking Lot Maintenance recorded 1,956 organic search sessions, up from 736 in the same 90 days last year. Engaged organic sessions grew even faster, from 384 to 1,049.
June 19–September 16, 2025 versus June 19–September 16, 2026. GA4, Organic Search, All Users. Sessions are visits, not unique prospects or booked jobs.
Read the story ↗organic search sessions
Search-led resources, stronger service pages and technical improvements for a drafting business, alongside 45 more organic visits in the latest 28-day period.
July 23–August 19 versus August 20–September 16, 2026. GA4, Organic Search, All Users. Visits, not booked projects; small starting base.
Read the story ↗