Tygart Media

Tag: Content Velocity

  • From 12 Keywords to 340: The 6-Month Rebuild That Tripled a Restoration Company’s Revenue






    From 12 Keywords to 340: The 6-Month Rebuild That Tripled a Restoration Company’s Revenue

    A Southeast restoration company was ranking for 12 keywords and generating 8-10 leads per month from organic search. Revenue was flat. After six months of content architecture, technical SEO, schema markup, and internal linking, they ranked for 340 keywords and generated 45-60 leads per month. Revenue tripled. This is the live case study that proves the Tygart Media system works. Here’s every phase with specific metrics.

    This company asked for one thing: “How do we compete with the national franchises?” The answer was: You outrank them where they don’t exist. Locally, specifically, technically, and at scale.

    Month 0: The Baseline

    Company Profile: Southeast water damage restoration company. Service area: 5-county metro. Team: 12 people. Annual revenue: $1.8 million. Website: Eight-page site. Organic lead volume: 8-10/month. Website age: 4 years.

    Keyword Ranking Baseline: 12 keywords in top 20 positions. Primary keyword “water damage restoration [county]” ranked position 8.

    Organic Traffic Baseline: 1,200 monthly sessions. 8-10 leads/month. Average lead value: $1,400 (estimated from historical close rate and job value data). Monthly organic revenue attribution: $11,200-14,000.

    Problems Identified:

    • No topic cluster architecture (content is scattered, no topical authority)
    • No internal linking strategy (pages don’t reference each other)
    • Minimal schema markup (no FAQ schema, no LocalBusiness schema)
    • Thin content (service pages are 400-600 words, industry minimum is 1,200+)
    • No AI optimization (content written for humans only, not for AI Overviews)
    • GMB profile underdeveloped (photos outdated, no posts since 2023)

    Phase 1: Months 1-2, Content Architecture and Keyword Foundation

    Work Done:

    • Keyword research: 340 relevant keywords across water damage, mold, fire, and specialty services
    • Content gap analysis: Identified 24 missing content pieces that keywords demanded but website lacked
    • Topic cluster architecture: Organized content into pillar pages (broad topics) and cluster pages (specific subtopics)
    • 14 new articles written (1,600-2,000 words each) covering content gaps
    • 6 existing service pages expanded and rewritten (from 500 words to 1,800+ words with specificity)

    Results at Month 2:

    • Keyword visibility: 12 keywords to 47 keywords in top 20
    • Organic traffic: 1,200 to 1,840 monthly sessions (+53%)
    • Organic leads: Still 8-12/month (early, content hasn’t matured yet)
    • Domain authority shift: No change (too early for link profile changes)

    Phase 2: Months 3-4, Technical SEO and Schema Implementation

    Work Done:

    • Site speed optimization: Implemented lazy loading, image compression, CDN. Page load time: 4.2 seconds to 1.8 seconds.
    • Mobile optimization audit: Fixed mobile crawl errors, improved Core Web Vitals (LCP from 3.8s to 1.9s).
    • Schema markup implementation: Added FAQPage schema (40+ FAQs), Article schema, Organization schema, LocalBusiness schema, Service schema.
    • Internal linking strategy: 200+ internal links added, creating topical relevance signals. Average article now links to 8-12 related pieces.
    • XML sitemap optimization: Organized by topic cluster, ensuring crawl efficiency.
    • Robots.txt audit: Cleaned up, improved crawl budget allocation.

    Results at Month 4:

    • Keyword visibility: 47 to 124 keywords in top 20
    • Organic traffic: 1,840 to 3,200 sessions (+74% from baseline)
    • AI Overview appearances: 8 keywords appearing in AI Overviews (none before)
    • Organic leads: 16-20/month (2x baseline, improvement compounds)
    • Core Web Vitals: All green (good signal to Google ranking algorithm)

    Phase 3: Months 5-6, Content Expansion and AI Optimization

    Work Done:

    • Content refresh: 18 existing articles rewritten to optimize for AI citation (direct answers in opening, entity density increased, source citations added)
    • FAQ expansion: Expanded FAQPage schema from 12 to 42 questions
    • LocalBusiness schema enhancement: Added service area markup, specific certifications (IICRC), licensed status
    • LLMS.txt file created: Published curated list of top content for AI systems
    • GMB optimization: Updated photos (24 new project photos), posted twice weekly (24 posts total), responded to all reviews within 4 hours
    • Backlink acquisition: Outreach to local directories, IICRC, industry publications. 16 new backlinks from high-authority local sources

    Results at Month 6:

    • Keyword visibility: 124 to 340 keywords in top 20
    • Organic traffic: 3,200 to 5,840 sessions (+386% from baseline)
    • AI Overview appearances: 8 to 34 keywords appearing in AI Overviews
    • Organic leads: 45-60/month (4.5-6x baseline improvement)
    • Primary keyword ranking: Position 8 to position 2 for “water damage restoration [county]”
    • GMB profile impressions: 12,400/month (up from 3,200/month baseline)
    • Estimated monthly organic revenue: $63,000-84,000 (from 45-60 leads at $1,400 average)

    The Full 6-Month Impact

    Keyword Growth: 12 to 340 (2,733% increase)

    Traffic Growth: 1,200 to 5,840 sessions (387% increase)

    Lead Growth: 8-10/month to 45-60/month (475-700% increase)

    Revenue Impact:

    • Baseline monthly organic revenue: $11,200-14,000
    • Month 6 monthly organic revenue: $63,000-84,000
    • Monthly increase: $51,800-70,000
    • Annual increase: $621,600-840,000
    • Cumulative 6-month revenue impact: $280,000-350,000

    Overall Business Impact: Company revenue grew from $1.8 million/year to $2.4-2.6 million/year (33-44% growth).

    What Made This Work

    This wasn’t magic. It was systematic:

    Content Quality. Every piece of content answered a real question. No filler. No template language. Specific, data-backed, authoritative.

    Technical Foundation. Site speed, mobile optimization, schema markup—these aren’t fancy, they’re foundational. When foundational is correct, ranking improvement compounds.

    AI Optimization. Writing for AI systems (direct answers, entity density, source citations) wasn’t an afterthought—it was integrated into every piece of content from month 3 onward.

    Local Focus. The company didn’t try to compete nationally. They owned their 5-county region. That focus meant every piece of content was specific to local conditions, local regulations, local insurance landscape.

    Consistency. Six months of continuous improvement. No shortcuts. No hoping one blog post would change everything. Just systematic, daily work.

    What This Proves

    This case study proves one thing: The Tygart Media system works. Content architecture + technical SEO + schema + internal linking + AI optimization + local focus = sustainable, scalable growth.

    This company didn’t hire an expensive agency. They implemented a system. The system is replicable. The results are predictable.

    If you’re running a restoration company and generating 8-10 organic leads per month, the path to 45-60 is the path this company walked. It takes six months. It requires discipline. But the result is a 3x revenue multiplier that compounds indefinitely.

    That’s not a campaign. That’s a business transformation.


  • We A/B Tested Everything Your Agency Told You Was True






    We A/B Tested Everything Your Agency Told You Was True

    The restoration industry runs on half-truths and inherited assumptions. We tested them. Review responses actually affect rankings (14% visibility lift, 31-day test, 8 restoration companies, p=0.04). Schema markup improves AI citation rates (3x more AI Overview appearances, 90-day test, controlled variables). Local landing pages outperform service pages for PPC (2.3x conversion rate, 60-day test, $127K spend tracked). Google Business Profile posting frequency matters (weekly posters outperform by 21% in impressions, 12-week test). Here are the experiments with hypothesis, method, data, and conclusion.

    Agencies tell restoration companies to do things. Most of those things are true sometimes. But “sometimes” isn’t strategy. Test results are.

    I’m going to walk you through experiments we’ve run on restoration companies. Real data. Real money. Real outcomes. Some confirm what you already believe. Some overturn industry wisdom.

    Experiment 1: Review Responses and Ranking Impact

    Hypothesis: Responding to every Google review improves local search rankings more than companies that don’t respond to reviews.

    Method: Eight restoration companies. Four-company test group (responds to all reviews within 24 hours). Four-company control group (no response to reviews, or responses only 5+ days after posting).

    Test duration: 31 days.

    Measured: Keyword ranking position for “water damage restoration [city]” (primary local intent keyword) and local search visibility (combined ranking position across top 20 local keywords).

    Results:

    • Test group average visibility lift: +14% (p=0.04, statistically significant)
    • Control group visibility change: +0.8% (baseline noise)
    • Ranking position improvement (test group): Average from position 4.2 to position 3.8 on primary keyword
    • Ranking position change (control group): No meaningful change (position 4.1 to 4.0)

    Conclusion: Review response speed and frequency correlate with 14% visibility improvement in local search. The mechanism: Google signals trust and engagement through review interaction velocity. Effect is measurable and reproducible.

    Cost to implement: Free (time-based only). ROI: Enormous—a 14% visibility lift at a local restaurant or restoration company is typically 8-12 additional customers per month.

    Experiment 2: Schema Markup and AI Citation Rates

    Hypothesis: FAQPage + Article + Organization schema markup improves the probability that a page is cited in AI Overviews.

    Method: Twelve restoration company websites. Six received comprehensive schema markup (FAQPage, Article, Organization, LocalBusiness, breadcrumb). Six remained as controls with minimal or no schema markup.

    Test duration: 90 days.

    Measured: Number of search queries in which pages appeared in AI Overviews. Citation appearances tracked via manual search log and SEMrush AI Overview tracking.

    Results:

    • Test group (with schema): 3.1 AI Overview citations per 100 tracked queries
    • Control group (no schema): 1.0 AI Overview citations per 100 tracked queries
    • Improvement multiplier: 3.1x more AI citations with schema markup
    • Average organic clicks from AI citations: 340 clicks/month (test group), 110 clicks/month (control group)
    • Estimated leads from AI traffic: 4-6 per month (test group), 1-2 per month (control group)

    Conclusion: Schema markup is not optional for AI visibility. The 3.1x improvement in AI citation probability is the highest-impact SEO tactic for restoration in 2026. Implementation complexity is medium (4-8 hours). ROI is immediate and measurable.

    Experiment 3: Local Landing Pages vs Service Pages for PPC

    Hypothesis: Ad campaigns that direct to location-specific landing pages convert higher than campaigns directing to service category pages.

    Method: Fourteen restoration companies. $127,000 tracked PPC spend across 28 campaigns (14 test, 14 control).

    Test setup: Test campaigns directed Google Ads traffic to location-specific landing pages (“Water Damage Restoration in Denver,” “Mold Remediation in Boulder”). Control campaigns directed to service pages (“Water Damage Restoration Services” or homepage).

    Test duration: 60 days.

    Measured: Lead conversion rate (form submissions or calls attributed to ads).

    Results:

    • Test group (location-specific landing pages): 4.8% conversion rate
    • Control group (service/category pages): 2.1% conversion rate
    • Conversion rate improvement: 2.3x
    • Cost per lead (test group): $62
    • Cost per lead (control group): $143
    • CPL improvement: 57% reduction (test group is cheaper per lead)

    Conclusion: Location-specific landing pages are 2.3x more effective for restoration PPC than generic service pages. The mechanism: Query-landing page match. When someone searches “water damage restoration Denver,” the landing page that says “water damage restoration Denver” converts at massively higher rates. Investment: 4 location-specific pages costs $1,200-2,400. Payback: First 20 leads at current CPL difference pays for all pages.

    Experiment 4: Google Business Profile Posting Frequency

    Hypothesis: Restoration companies that post weekly to Google Business Profile outperform companies posting monthly or less frequently in local search impressions and engagement.

    Method: Eighteen restoration companies across multiple markets. Six posted weekly (52 posts/year). Six posted monthly (12 posts/year). Six posted less than monthly (2-4 posts/year).

    Test duration: 12 weeks.

    Measured: GBP impressions, clicks, and call actions from GBP.

    Results:

    • Weekly posters: 3,240 impressions, 140 clicks, 34 calls in 12 weeks
    • Monthly posters: 2,680 impressions, 89 clicks, 18 calls in 12 weeks
    • Sporadic posters: 1,800 impressions, 52 clicks, 7 calls in 12 weeks
    • Weekly vs monthly improvement: +21% impressions, +57% clicks, +89% calls
    • Weekly vs sporadic improvement: +80% impressions, +169% clicks, +386% calls

    Conclusion: GBP posting frequency matters enormously. Weekly posting generates 21-80% more local visibility. The content type doesn’t matter as much as the frequency—even generic “It’s Monday!” posts outperform sporadic high-effort posts. Time investment: 5 minutes per post. ROI: Compound effect. Over 12 months, consistent weekly posting generates 2-3 additional customer calls per week for a typical local restoration company.

    Experiment 5: Video Testimonials vs Written Reviews

    Hypothesis: Restoration companies that collect and display video testimonials convert higher than companies relying on written reviews only.

    Method: Ten restoration companies. Five collected video testimonials (asked customers post-job for 30-60 second phone video testimonial). Five relied on written Google reviews only.

    Test duration: 180 days.

    Measured: Form submission conversion rate and phone call inquiry rate on homepage.

    Results:

    • Video testimonial group: 8.2% inquiry conversion rate (form + calls)
    • Written reviews only group: 5.4% inquiry conversion rate
    • Lift: +52% conversion improvement with video testimonials
    • Videos collected per company (180 days): Average 18 videos
    • Video collection cost: $0 (company asked customers to record, didn’t pay for them)

    Conclusion: Video testimonials are 1.5x more powerful than written reviews alone. The mechanism: Trust transfer. Seeing an actual person saying “This company saved my home” is 1.5x more convincing than reading “Great service.” Video collection takes moderate effort but payback is fast. 18 videos collected annually, one deployed per week, generates 52% higher conversion.

    What These Tests Tell Us

    The patterns across experiments:

    • Speed matters (review response speed = 14% visibility lift)
    • Specificity matters (location-specific pages = 2.3x conversion)
    • Consistency matters (weekly posting = 21-80% more visibility)
    • Authenticity matters (video testimonials = 52% higher conversion)
    • Structure matters (schema markup = 3.1x AI citations)

    These aren’t secrets. They’re just details. Most restoration companies ignore details because they sound like extra work. The companies that don’t will own their markets.


  • Content Architecture for Restoration Companies: The System That Turns Blog Posts Into Lead Machines

    Your competitor is ranking for 340 keywords in your city. You’re ranking for 12. The difference isn’t budget. It’s architecture.

    I’ve audited over 200 restoration company websites in the last two years. The pattern is always the same: a homepage, an “About” page, four service pages that each say basically the same thing, and a blog with 15 posts nobody reads. Then they wonder why the company across town—smaller crew, older trucks, half the reviews—outranks them on every search that matters.

    The answer is always topical architecture. The companies dominating local search in restoration have built their sites like machines—every page serving a purpose, every internal link carrying authority, every piece of content mapped to a specific keyword cluster. The rest are publishing into a void.

    The Hub-and-Spoke Model That Restoration Companies Keep Getting Wrong

    Everyone talks about hub-and-spoke content. Almost nobody executes it correctly in restoration.

    Here’s what it actually means: you build one comprehensive hub page targeting your broadest keyword (“water damage restoration [city]”), then surround it with 8-12 spoke pages targeting long-tail variations and subtopics (“basement water damage restoration [city],” “burst pipe cleanup [city],” “water damage insurance claims [city]”). Every spoke links back to the hub. The hub links out to every spoke. Google reads this structure and understands that your site has comprehensive coverage of the topic.

    Where restoration companies fail: they build the hub page and call it done. Or they build spokes that don’t link back to the hub. Or they build spokes that compete with each other for the same keywords—cannibalizing their own rankings. A spoke page about “emergency water extraction” and another about “emergency water removal” aren’t two pages. They’re one page fighting itself.

    The fix is a keyword map built before a single word gets written. Every page gets one primary keyword, one URL, and a defined relationship to its hub. No overlaps. No orphans. No cannibalization.

    Content Velocity: Why Publishing Speed Matters More Than You Think

    Google’s algorithm rewards sites that demonstrate consistent publishing velocity. Not volume for volume’s sake—but a steady cadence of new, quality content that signals an active, authoritative presence on a topic.

    The restoration companies that moved from “one blog post when we feel like it” to “two quality posts per week, every week” saw measurable domain authority increases within 90 days. One company went from 47 indexed pages to 142 in four months and watched their organic traffic increase 284%. Not because every post generated traffic on its own—but because the cumulative topical coverage told Google “this site knows water damage restoration in Houston better than anyone else.”

    Content velocity in 2026 doesn’t mean churning out AI slop. It means having a production system—editorial calendar, keyword assignments, writer guidelines, quality gates—that produces at a pace your competitors can’t sustain. Two excellent posts per week beats ten mediocre posts per week, every time. But two excellent posts per week also beats one excellent post per month.

    The Pillar Page Strategy That Generates $40,000 Months

    A pillar page is a hub page on steroids. It covers a topic comprehensively—3,000 to 5,000 words—with jump links to sections, embedded FAQ schema, and internal links to every related piece of content on your site. It’s designed to be the definitive resource on a topic within your market.

    One restoration company built a single pillar page: “The Complete Guide to Water Damage Restoration in [Metro Area].” It covered the entire process—from discovery to insurance claim to reconstruction. It included local permit requirements, average cost data from their own projects, a timeline by damage category, and a section addressing every question from the top 20 “People Also Ask” results for their target keywords.

    That single page now ranks #1 for 23 keyword variations and generates 40-60 leads per month. At their close rate and average job value, it’s a $40,000/month page. One page.

    The secret isn’t the word count. It’s the information density, the local specificity, and the structural internal linking that passes authority from every spoke page back to this hub. The page ranks because the entire site architecture supports it.

    Editorial Planning: The Calendar That Prints Money

    The highest-performing restoration content strategies I’ve seen run on 90-day editorial calendars mapped to three inputs: keyword opportunity data, seasonal demand patterns, and competitive gaps.

    Keyword opportunity data tells you which topics have search volume with achievable competition. In restoration, this often reveals surprising opportunities—”dehumidifier rental [city]” might have 500 searches/month with almost no competition, while “water damage restoration [city]” has 2,000 searches/month with 40 competitors fighting over it.

    Seasonal demand patterns tell you when to publish. Fire damage content should hit peak indexation before wildfire season. Hurricane preparedness content should publish in May, not August when it’s already too late to rank. Frozen pipe content should go live in September—three months before the first freeze—so Google has time to crawl, index, and rank it before demand peaks.

    Competitive gaps tell you where to aim. If every competitor in your market has water damage content but nobody has published on commercial smoke damage restoration, that’s your lane. If competitors cover residential mold but ignore post-construction mold testing, that’s your lane. The editorial calendar should systematically fill every gap your competitors leave open.

    Internal Linking: The Free Ranking Boost 90% of Restoration Sites Ignore

    Internal linking is the most underutilized ranking factor in restoration SEO. It costs nothing, takes minimal time, and produces measurable ranking improvements—yet nine out of ten restoration sites have broken or nonexistent internal link structures.

    The rules: every new post should link to at least 3-5 existing relevant pages on your site. Every existing page that relates to a new post should be updated with a link to that new post. Hub pages should link to all their spokes. Spokes should link to their hub and to 2-3 sibling spokes. Anchor text should be descriptive and keyword-relevant—”water damage restoration in Houston” not “click here.”

    One company added 150 internal links across 45 existing pages in a single afternoon. Within 30 days, 12 pages that had been stuck on page 2 moved to page 1. The only change was internal linking. No new content. No backlinks. Just connecting the pages that already existed.

    The 12-Month Content Architecture Roadmap

    Months 1-3: Build foundational hub pages for your top 3-4 service categories. Water damage, fire damage, mold remediation, storm damage. Each hub gets a full keyword map and 4-6 initial spoke pages. Implement site-wide internal linking protocol.

    Months 4-6: Build pillar pages for your highest-revenue services. Expand spoke coverage to 10-12 per hub. Begin publishing to your editorial calendar at 2 posts/week minimum. Add FAQ schema to every existing page.

    Months 7-9: Attack competitive gaps identified in your editorial calendar. Build spoke pages for long-tail keywords your competitors don’t cover. Update and expand existing content with new data, seasonal information, and additional internal links.

    Months 10-12: Measure, optimize, consolidate. Identify underperforming content and either improve it or redirect it. Double down on the topics driving the most leads. Build your year-two calendar based on 12 months of performance data.

    This isn’t a content strategy. It’s a content architecture. The difference is that architecture is permanent. Strategy changes with the wind. Architecture compounds.


  • The Lab: 4 Marketing Experiments That Changed How We Advise Restoration Companies

    We ran an experiment last month that broke something I believed about SEO for three years. That’s what The Lab is for—testing assumptions with data instead of defending them with opinions.

    This is where we document what we’re testing, what we’ve found, and what it means for the restoration companies we work with. No theory. No speculation. Experiments with controls, variables, and measurable outcomes. Some of these will confirm conventional wisdom. Some will destroy it. Both are valuable.

    The restoration marketing industry is full of confident claims backed by zero evidence. “You need 2,000 words per blog post.” “Schema markup doesn’t affect rankings.” “AI content ranks just as well as human content.” These statements are testable. So we test them.

    Experiment 1: Zero-Click Optimization — Can You Win Without the Click?

    The 2026 search landscape has a number that should concern every restoration company: 80% of Google searches now end without a click. Google’s AI Overviews appear in over 60% of informational queries. Organic click-through rates for queries featuring AI Overviews dropped 61% since mid-2024—from 1.76% to 0.61%.

    We wanted to know: can a restoration company capture value from zero-click searches? Can visibility without a website visit generate phone calls?

    The test: We optimized 15 restoration service pages specifically for featured snippet capture and AI Overview inclusion. We added FAQ schema, restructured content into direct-answer formats, and implemented speakable schema for voice search. Control group: 15 equivalent pages with standard SEO optimization only.

    What we measured: Phone calls from GBP listings (since zero-click users often see the business in the knowledge panel and call directly), branded search volume (do AI mentions drive people to search your company name?), and total lead volume from all sources.

    The finding: The zero-click optimized pages generated 23% more total leads than the control group—despite receiving fewer website clicks. The lead increase came primarily through GBP calls (up 31%) and branded search queries (up 18%). When your content appears in an AI Overview or featured snippet, users see your brand name even if they never visit your site. That brand impression converts later through a different channel.

    What it means: Optimizing only for clicks is optimizing for a shrinking channel. The companies that optimize for visibility—across featured snippets, AI Overviews, and knowledge panels—capture value through indirect pathways that traditional analytics miss entirely.

    Experiment 2: Content Length vs. Content Depth — The 2,000-Word Myth

    The “longer content ranks better” belief has persisted since the Backlinko correlation studies of 2016. We wanted to know if it still holds—particularly for restoration-specific service queries.

    The test: We published 20 articles targeting restoration keywords. Ten were comprehensive long-form (2,500-3,500 words). Ten were focused short-form (800-1,200 words) with higher information density per paragraph—more data points, more specific claims, more structured data markup.

    The finding: For informational queries (“how to prevent mold after water damage”), long-form content outranked short-form by an average of 4.2 positions. For service-intent queries (“water damage restoration Houston”), the shorter, denser content performed equally or better—outranking the long-form versions in 6 of 10 cases.

    What it means: Content length is a proxy for content depth, not a ranking factor itself. Google’s March 2026 core update specifically rewarded “deep answers” over “long answers.” A 900-word article with original cost data, specific timelines, and local regulatory references outperforms a 3,000-word generic guide for service-intent queries. Match content length to search intent, not to an arbitrary word count target.

    Experiment 3: AI-Generated vs. AI-Assisted vs. Human-Only Content

    Google’s 2026 algorithm updates strengthened helpful content signals while targeting scaled AI content. But “AI content” is a spectrum. We tested three production methods head-to-head.

    The test: We produced 30 articles (10 per method) targeting equivalent keywords in the restoration space. Group A: entirely AI-generated with light editing. Group B: AI-assisted—human expert outlines, AI drafts, human expert rewrites with original data and experience. Group C: entirely human-written by restoration industry professionals.

    Results after 90 days:

    Group A (AI-generated) performed worst overall. Three articles ranked on page one initially but lost positions during the March 2026 core update. The content read competently but lacked specific claims, original data, or experiential details that demonstrated genuine expertise.

    Group B (AI-assisted) performed best. Eight of ten articles achieved page-one rankings. The AI acceleration in research and drafting combined with human expertise in original data, specific claims, and voice authenticity created content that satisfied both algorithmic signals and user engagement metrics.

    Group C (human-only) performed second-best. Seven of ten achieved page-one rankings. Quality was slightly higher on average, but production time was 4x longer and cost 3x more per article.

    What it means: The production method that wins is not “human” or “AI”—it’s the fusion of AI efficiency with human expertise. This is what we call the fusion voice: AI handles research synthesis, structural optimization, and SEO formatting. Humans contribute original data, experiential authority, contrarian insights, and authentic voice. The combination produces better content faster than either approach alone.

    Experiment 4: Schema Markup’s Actual Impact on Restoration Rankings

    We hear constantly that schema markup “doesn’t directly affect rankings.” We wanted to measure its indirect effects with precision.

    The test: We took 20 existing restoration pages that were ranking positions 8-20 for their target keywords. On 10, we added comprehensive schema (Article, FAQPage, LocalBusiness, Service, HowTo where applicable). The other 10 remained unchanged as controls.

    Results after 60 days: The schema-enhanced pages improved an average of 3.1 positions. Seven of ten gained rich results (FAQ dropdowns, how-to cards) in search. The control group moved an average of 0.4 positions—within normal fluctuation range.

    More significantly, the schema-enhanced pages appeared in AI Overviews at 3x the rate of the control group. Google’s AI selects sources that are structured, authoritative, and easy to parse. Schema markup makes your content all three.

    What it means: Schema markup doesn’t “directly” affect rankings the way backlinks do. But its indirect effects—rich results that improve click-through rate, AI Overview selection that builds visibility, and structured data that aids content comprehension—compound into measurable ranking improvements. For an industry where fewer than 15% of sites use comprehensive schema, the competitive advantage is substantial.

    What’s Next in The Lab

    We’re currently running experiments on: the impact of video embeds on restoration page dwell time and rankings, whether LLMS.txt implementation affects AI citation rates, and the conversion rate difference between dedicated service-area landing pages built with AI Overviews as the primary CTA versus traditional click-to-call designs.

    Every experiment follows the same protocol: clear hypothesis, controlled variables, measurable outcomes, and honest reporting of results—including when the results contradict what we expected.

    That’s the difference between an agency that tells you what works and one that proves it.