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Technical SEO for eCommerce
Diagnose crawlability, indexation, canonicalization, faceted navigation, internal links, schema and performance—then sequence the work by commercial impact.
Stop letting technical SEO issues keep your store out of Google and AI Citation.
When your product and category pages disappear from Google search and AI citations go to your competitors, your team should not lose another week to manual checks to find the issues. I build agentic SEO systems that find what is blocking your store's online visibility, prioritize the fix, and keep the repetitive work moving. It fixes your crawling issues, indexing problems, schema, and site structure.
ECOMMERCE SEO OPERATING LOOP
01
Watch the store signalsProducts · categories · crawl data
✓
02
Surface the constraintRevenue impact · effort · owner
✓
03
Keep fixes movingAutomate · verify · report
✓
Less firefightingMore attention on decisions that grow the store.
→
6+ yearsacross technical, on-page and local SEO
250+technical SEO issues resolved
20projects managed concurrently
+25%ranking improvement reported after technical fixes
Services
A clearer SEO operation for a store that never stands still.
Catalogs change, inventory shifts and templates multiply. I turn recurring eCommerce SEO problems into a prioritised system your marketing and development teams can keep using.
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AI Visibility / GEO
Make product expertise easier for search and answer engines to identify, extract and verify through content structure, entity signals, schema and llms.txt guidance.
03
Agentic SEO workflows
Build repeatable monitoring, triage and reporting workflows so important changes surface early, routine checks stop consuming the week, and every recommendation remains reviewable.
Featured case study
Proof before promises.
My public case-study library is being assembled from past work. These verified outcomes show the operating discipline behind the new eCommerce focus without pretending every result came from the same type of business.
LOCAL SEARCH · VERIFIED OUTCOME
Turned stronger search visibility into more customer calls.
Combined local profile optimization, schema, landing-page improvements and intent-led work to move a commercial outcome—not just a reporting metric.
+250%customer calls reported for a local business
TECHNICAL SEO
Resolved 250+ technical issues.
Work included crawl and indexation blockers, canonical issues, broken links, redirect chains, schema and page performance.
SEARCH OPERATIONS
Managed up to 20 projects at once.
Balanced audits, implementation priorities and stakeholder communication across a high-volume portfolio.
About me
I make complex search work easier to act on.
I’m Sohanoor Rahman, an SEO specialist with more than six years of hands-on experience. I have worked across technical audits, crawl and indexation fixes, site structure, schema, content operations and local search.
Now I focus that experience on eCommerce teams navigating two pressures at once: a site that changes every day and an AI-shaped search landscape that changes how products get discovered. My role is to make the evidence understandable, the next move obvious, and the recurring work lighter.
- Technical depth without opaque reports
- Automation with a human-readable trail
- Priorities tied to commercial pages
- Clear communication across teams
How I work
Diagnose once. Build the loop.
I pair technical judgment with automation where it genuinely helps. Every system keeps a human-readable trail so the recommendation can be checked, challenged and improved.
1
Find the business-critical constraint
Separate symptoms from root issues using crawl data, Search Console evidence, store architecture and commercial context.
2
Turn evidence into priorities
Rank fixes by likely impact, effort, dependency and ownership so the roadmap survives real delivery conditions.
3
Automate the repeatable layer
Use reviewable workflows for collection, checks and reporting—while keeping strategy and quality decisions human-led.
4
Build the AI visibility layer
Connect crawlable pages, clear entities, structured data and extractable answers so AI systems can understand the store and verify what it knows.
5
Measure what changed
Track the signal that matches the problem: index coverage, qualified traffic, category visibility, AI citations, revenue contribution or time saved.
AI Visibility / GEO
Make your store easier for AI systems to cite—not just easier for Google to rank.
AI visibility starts with the same technical foundations search depends on, then adds clearer entities, extractable answers and evidence that answer engines can verify. I connect those layers so your products and expertise have a stronger chance of appearing when shoppers ask AI for recommendations.
No single file or schema type guarantees a citation. The work is to make the right pages accessible, understandable and worth referencing.
01
Crawl and index foundations
Resolve access, canonical and internal-discovery issues before asking an AI system to understand pages that search engines cannot reliably reach.
02
Entities and structured context
Clarify products, brands, authorship and relationships through consistent on-page signals, schema and connected supporting content.
03
Extractable, verifiable answers
Structure useful claims, comparisons and expertise so answer engines can identify the passage, understand its context and corroborate the source.
Resources & templates
Start with the right evidence.
A working diagnostic you can use now, plus focused utilities and templates in development for the recurring problems I see in technical SEO.
Start with discovery and canonical signals.
Before rewriting content, confirm whether crawlers can reach the page and whether the site is asking search engines to index a different URL.
- Inspect robots directives, sitemaps and internal discovery paths
- Compare declared, rendered and Google-selected canonicals
- Check duplication, quality signals and crawl patterns
llms.txt templateA structured starting point for documenting the pages and resources AI systems should understand.IN DEVELOPMENT
Indexation monitorA focused workflow for surfacing coverage changes and the revenue pages that need attention first.IN DEVELOPMENT
Recently published
Field notes for modern search teams.
Practical writing on eCommerce indexation, agentic SEO operations and AI discovery—with the evidence and trade-offs left in.
The first new field note is being prepared.
I’m rebuilding the article library around useful, experience-led material rather than carrying forward generic archive posts. Until the first one is ready, follow my LinkedIn for shorter technical notes.
Read notes on LinkedIn ↗Testimonials
Client words should be specific—and approved.
I’m collecting publication approval for attributable client feedback. I will not fill this section with invented quotes or anonymous praise.
Until then, judge the work by the documented outcomes and the clarity of the process.
The featured case study, technical issue count and operational experience above are drawn from my verified work history. Full testimonials will be added only when the people behind them have approved the wording.
Running an eCommerce site?
Let’s solve the technical SEO problems holding back your store.
Share the symptom, the store platform, what you have already tried, and what a useful business outcome would look like.