Technical SEO
Audit crawl, indexation, performance, and developer tickets.
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Actionable articles on SEO, AI Search, PPC, and digital marketing from our engineering team.
Choose the closest workstream, then move into the related article cluster, service page, or case study.
Audit crawl, indexation, performance, and developer tickets.
Build pages that can be cited in AI-assisted search.
Improve profile, review, citation, and location signals.
Decide when to invest in paid search, SEO, or both.
Connect listing quality, PPC, reviews, and marketplace ranking.
Reduce reporting, routing, and repetitive campaign operations.
Plan clusters that support rankings and conversion paths.
Ship websites with crawlable, measurable SEO foundations.
45 articles shown

Plan a controlled migration to shared AI training preferences. Separate provider timelines, policy decisions, release checks and discovery evidence.

Set a clear search policy for shared user content. Audit noindex, crawler access and private access with a practical example and release checks.

Audit Demand Gen data strength, recovered conversions and business outcomes before changing budgets. Use a practical evidence checklist and decision table.

Use Bing Topics Portfolio to review AI citation gaps, reject weak opportunities and choose a focused content update with clear measurement limits.

Learn how to audit canonical signals, allow for Google's re-evaluation window, and decide when to wait, investigate, or roll back.

Use Google-Extended, robots.txt, crawler verification, and Search Console checks without confusing AI-crawler policy with Google Search rankings.

A practical SEO workflow for verifying and interpreting Google Search Console platform properties for Instagram, TikTok, X, and YouTube content.

Validate AI SEO recommendations against official guidance, first-party data, risk, and decision logs before changing your site.

Prepare landing pages for conversational paid traffic with message match, crawl access, measurement, and claim review.

Align product pages, feeds, schema, images, variants, access, checkout, and measurement before AI shopping expansion.

Audit AI crawler and agent access without opening private routes, breaking search discovery, or confusing security policy.

Build a practical Preferred Sources workflow for original content, source identity, respectful CTAs, and measurement.

Align pages, feeds, schema, media, checkout, and policy data after Google's May 2026 shopping updates.

Use Screaming Frog v24 MCP to turn crawl evidence into reviewable technical SEO tickets.

Connect SEO tools to AI coding agents without losing human review, security, or evidence trails.

Run a technical SEO audit that produces prioritized developer tickets instead of a static slide deck.

Choose the right organic and paid mix by stage, margin, sales cycle, and risk tolerance.

Diagnose post-migration traffic drops with a recovery sequence for redirects, canonicals, and indexation.

Build a topic cluster that links strategy, supporting content, services, and proof into one authority map.

Understand GEO and the practical work needed to earn citations in AI-assisted search experiences.

See how AI answers change search behavior and which SEO workflows need to adapt first.

Audit the page-level signals that make content easier for AI answer systems to cite.

Map Amazon ranking signals to listing, PPC, and conversion work that teams can execute weekly.

Balance Amazon PPC and organic ranking work around TACOS, margin, and launch stage.

Plan a 90-day Amazon launch sequence from category research to PPC and review operations.

Check titles, bullets, A+ content, images, and indexation before scaling Amazon traffic.

Build an ethical Amazon review workflow that supports conversion without policy risk.

Understand the Map Pack signals that matter and where local SEO teams should focus effort.

Audit and improve a Google Business Profile with a weekly local SEO operating model.

Create a review generation and response workflow that supports local visibility and trust.

Design location pages, GBP operations, and tracking for visibility across multiple cities.

Plan GBP posts that connect weekly publishing to calls, clicks, and assisted leads.

Clean NAP data and citations so local rankings are not weakened by inconsistent entities.

Find wasted Google Ads spend and reallocate budget with guardrails tied to unit economics.

Structure Google Ads campaigns around intent, measurement, and landing page continuity.

Decide when Performance Max fits and where its automation needs human guardrails.

Choose automation workflows that reduce reporting, lead routing, and campaign operations work.

Build a nurture sequence that maps messages to buying stage, service fit, and conversion signals.

Turn repetitive marketing operations into a measurable automation backlog without losing QA.

Prioritize Core Web Vitals fixes by template, user impact, and implementation effort.

Make architecture decisions that keep crawlability, internal links, and conversion pages intact.

Compare headless and traditional CMS options through an SEO, rendering, and maintenance lens.

Separate content strategy from production so editorial work supports demand and conversion.

Plan a content calendar around clusters, refreshes, and service-page support.

Strengthen experience, expertise, authority, and trust signals on service and blog pages.
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