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Case Studies

Real client engagements, honestly written.

Selected Peralytics work across job platforms, business media, ecommerce, and local services. Honest summaries of the challenge, the focus areas, and what we did, written without inflated claims.

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Job search and career platformLarge-site SEOCrawl clarityContent structure

Large-site SEO and AI search clarity for a national job platform.

A high-volume career platform with millions of pages where AI engines and classical crawlers needed clearer signals about which pages owned which topics.

Challenge

At job-board scale, the priority informational and editorial pages were getting lost inside the wider site. AI engines had a hard time mapping career topics to canonical hubs, and classical crawling was spread thinly across pages with overlapping intent.

Strategy

Tighten technical foundations and topical structure so both classical Google and AI engines can confidently identify, group, and cite the right pages on each career topic.

Work performed

  • Site-wide internal linking review and topical clustering around recurring career and job-search themes.
  • Schema audit across editorial, organization, and job-listing templates.
  • Crawl access and llms.txt review for AI bot retrieval (GPTBot, ClaudeBot, PerplexityBot, Google-Extended).
  • Direct answer rewrites on key informational hubs so the lead paragraph clearly addresses the page's primary question.
  • Editorial guidance for AI-friendly career content and freshness cadence.

Outcome

  • Improved crawl clarity across editorial and category pages.
  • Strengthened topical coverage of priority career and job-search themes.
  • Built stronger internal linking between hubs and supporting pages.
  • Expanded AI-readable structure across priority informational content.
Detailed results available on request.Request more detail
Business media and executive publishingContent authorityEntity SEOPublisher SEO

Entity and publisher SEO for an executive interview publication.

A publisher with strong editorial output but inconsistent entity signals across articles, authors, and topics. AI search visibility was uneven on the business themes they cover.

Challenge

Editorial volume was healthy but the underlying entity and schema signals were thin. Articles often lacked complete author and publisher markup, and topic coverage was scattered across many isolated pieces rather than organized into clusters.

Strategy

Strengthen author, publisher, and topical entity signals while restructuring high-value editorial so AI engines can read, attribute, and cite it more confidently.

Work performed

  • Article schema deployed across editorial templates with named author, dates, and publisher.
  • Person and Organization schema with sameAs links to verified profiles.
  • Topical clustering around recurring business and leadership themes.
  • Direct answer rewrites on flagship interviews and editorial pieces.
  • Freshness program for evergreen interview content with visible update dates.

Outcome

  • Strengthened entity and authorship signals across editorial.
  • Improved AI-readable structure on flagship articles and interviews.
  • Expanded topical coverage of recurring business and leadership themes.
  • More consistent presentation of the publication across AI engines.
Detailed results available on request.Request more detail
Specialty seafood ecommerceEcommerce SEOCategory page optimizationProduct education content

Intershell Seafood

intershellseafood.com

Ecommerce SEO and AI-friendly product education content.

Specialty US seafood brand with strong product range but limited supporting educational content and uneven internal linking between guides and commercial pages.

Challenge

Category and product pages were doing most of the work alone. Buying-guide content was thin, and the existing pages were not structured for AI engines to extract clear answers about products, sourcing, and preparation.

Strategy

Rework category and product templates for both classical commercial intent and AI-friendly answer extraction, then add buying-guide content that supports the commercial pages through internal links.

Work performed

  • Category page restructuring with direct answer intros and clearer scope.
  • Product schema review and completion across the catalog.
  • Buying guide and product education content build covering sourcing, preparation, and selection.
  • Internal linking from guides into category and product pages.
  • AI bot access and crawl readiness checks.

Outcome

  • Improved site structure for shopping intent.
  • Strengthened informational content adjacent to commercial pages.
  • Built stronger internal linking from guides to category and product pages.
  • Expanded the AI-friendly content footprint across the catalog.
Detailed results available on request.Request more detail
Local service business (New York)Local SEOService page structureTrust signals

Local SEO and AI search readiness for a New York service brand.

A New York service brand with a strong local reputation but underdeveloped service page structure and weak technical signals for local AI search.

Challenge

Service pages did not present scope and trust signals clearly. Local entity signals were inconsistent across directories, and the site was not set up for AI engines to use it as a source on 'near me' and local-intent queries.

Strategy

Tighten local entity signals, restructure service pages around clear scope and trust elements, and prepare the site for AI bot retrieval on local queries.

Work performed

  • LocalBusiness and Service schema deployment with complete fields.
  • Google Business Profile audit and recommendations.
  • Service page restructuring with direct answers, scope clarity, and pricing context where appropriate.
  • Trust signal additions (reviews, certifications, real photos) across primary pages.
  • AI bot access checks and freshness program on service pages.

Outcome

  • Improved local entity signals across directories.
  • Strengthened service page structure with clearer scope and trust elements.
  • Better trust signals on conversion-critical pages.
  • Improved readiness for local AI search on 'near me' and city-level queries.
Detailed results available on request.Request more detail

We share the names of named references and deeper data points during a strategy call. Confidentiality is respected on every engagement.

Our methodology

How we approach client engagements.

Every engagement follows the same predictable cadence so the work is visible and the outcomes are defined before we ship anything.

  1. STEP01

    Baseline before we change anything

    Every engagement starts with a benchmark of classical rankings, AI search visibility, technical readiness, content depth, and entity strength. No changes until we know where we are.

  2. STEP02

    Tie work to outcomes

    Each workstream maps to a clear outcome we agree on up front. Success is defined before the work begins, not after it ships.

  3. STEP03

    Ship in two-week sprints

    Concrete deliverables every two weeks. Page rewrites, schema fixes, content pieces, authority work. Progress is visible at every stage.

  4. STEP04

    Track prompt-level visibility

    We test the same prompts in the same engines every month so movement is comparable. No moving the goalposts.

  5. STEP05

    Connect to pipeline

    AI citations and rankings are connected to pipeline through UTM tagging, downstream attribution, and quarterly reviews.

  6. STEP06

    Adjust openly

    When something is not working, we say so. When the field shifts, we update the plan. No spin.

How we report

Reporting you can actually read.

No 80-slide PDFs. A live dashboard, a short monthly write-up, and a quarterly conversation with your strategist.

Every client gets a live dashboard refreshed weekly. The top of the dashboard shows business outcomes. The leading indicators that drive those outcomes (citations, rankings, content velocity, technical health) sit below it.

Once a month, the strategist sends a short summary in plain English. What shipped, what moved, what we are watching, what is queued for next month. The whole thing takes five minutes to read.

Every quarter we run a business review tied to your goals, not our outputs. If something is not working, we say so. If the field has shifted, we update the plan. If you have new priorities, we rescope. The work follows the business, not the other way around.

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