SEO and Keyword Research Platforms in Content Marketing

SEO and Keyword Research Platforms are specialized digital tools and software suites designed to analyze search engine algorithms, identify high-value search terms, and optimize content for better visibility in search engine results pages (SERPs) ³⁴. Their primary purpose is to bridge user search intent with content creation, enabling marketers to produce relevant, discoverable assets that drive organic traffic, engagement, and conversions without relying solely on paid advertising ¹⁵. In content marketing, these platforms matter profoundly because they transform data-driven insights into actionable content plans, ensuring alignment with audience needs amid evolving search behaviors like voice search and AI-driven queries, ultimately boosting ROI by prioritizing quality over quantity ²³.

Overview

The emergence of SEO and Keyword Research Platforms traces back to the early 2000s when search engines like Google began dominating information discovery, creating a fundamental challenge: how could businesses ensure their content reached audiences in an increasingly crowded digital landscape ⁹? As search algorithms evolved from simple keyword matching to sophisticated natural language processing systems like Google’s BERT, marketers needed tools that could decode these complex ranking factors and translate them into actionable strategies ¹².

The fundamental problem these platforms address is the disconnect between what content creators produce and what audiences actually search for. Without data-driven insights, content marketing often devolved into guesswork, resulting in low visibility and wasted resources ⁷. Early keyword tools offered basic search volume data, but modern platforms have evolved into comprehensive suites that analyze competitive landscapes, predict trends, assess user intent, and provide real-time optimization recommendations ³⁴.

Over time, the practice has transformed from simple keyword density optimization to holistic content strategies centered on topic clusters, semantic search, and user experience signals. The shift from desktop to mobile search, the rise of voice queries, and AI-powered personalization have further accelerated platform sophistication, making them indispensable for content marketers seeking sustainable organic growth ²⁹.

Key Concepts

Search Intent Classification

Search intent refers to the underlying purpose behind a user’s query, categorized into four primary types: informational (seeking knowledge), navigational (finding specific websites), commercial (researching products), and transactional (ready to purchase) ⁴. Understanding intent is critical because search engines prioritize content that matches what users actually want, not just what contains specific keywords.

For example, when Thursday Boots analyzed search intent for “goodyear welt construction,” they discovered users wanted educational content explaining the manufacturing process rather than product pages. By creating a detailed guide matching informational intent, they captured featured snippets and drove 340% more organic traffic to their site, with visitors spending an average of 4.2 minutes engaging with the content before exploring product pages ⁴.

Long-Tail Keywords

Long-tail keywords are specific, multi-word phrases that typically have lower search volume but higher conversion rates compared to broad, short-tail terms ³⁴. These phrases often contain three or more words and reflect more precise user needs, such as “best espresso brewing techniques for home baristas” versus simply “coffee.”

A specialty coffee equipment retailer used keyword research platforms to identify the long-tail phrase “how to dial in espresso grinder settings” with 1,200 monthly searches and a difficulty score of 28. They created a comprehensive video tutorial optimized for this phrase, which ranked in position 3 within eight weeks and generated 47 qualified leads in the first quarter, with a 23% conversion rate—significantly higher than their 8% average from short-tail traffic ³⁷.

Keyword Difficulty and Competition Analysis

Keyword difficulty is a metric (typically scored 0-100) that estimates how challenging it would be to rank in the top 10 search results for a specific term, based on factors like domain authority of current ranking pages, backlink profiles, and content quality ³⁷. This metric helps marketers prioritize winnable opportunities rather than targeting impossibly competitive terms.

For instance, a startup marketing agency discovered that “content marketing strategy” had a difficulty score of 87 and was dominated by established brands like HubSpot and Semrush. Instead, they targeted “content marketing strategy for SaaS startups” (difficulty: 42, volume: 890/month), creating a detailed case study-driven guide. Within five months, they ranked in position 4, generating 340 monthly visitors and 28 consultation requests, demonstrating how strategic difficulty assessment enables resource-efficient growth ³⁴.

Topic Clusters and Pillar Content

Topic clusters are content architecture models where a comprehensive “pillar page” covers a broad topic, linking to multiple “cluster pages” that address specific subtopics in depth ⁴. This structure signals topical authority to search engines and creates intuitive user navigation paths.

A B2B software company implemented this approach by creating a pillar page on “Marketing Automation for Small Businesses” (3,500 words) that linked to 12 cluster articles covering specific aspects like “Email Segmentation Strategies,” “Lead Scoring Models,” and “CRM Integration Best Practices.” Each cluster page linked back to the pillar. Within six months, the pillar page ranked in position 2 for their target keyword (5,400 monthly searches), while cluster pages captured 47 additional long-tail rankings, collectively driving 2,100 monthly organic visitors and establishing the company as a thought leader in their niche ¹⁴.

SERP Features and Featured Snippets

SERP features are enhanced search results beyond traditional blue links, including featured snippets (answer boxes), knowledge panels, local packs, and video carousels ²³. Optimizing for these features can dramatically increase visibility, as featured snippets appear at “position zero” above all organic results.

A home improvement blog used keyword research platforms to identify questions like “how to fix a leaky faucet” that triggered featured snippets. They restructured their existing content with clear, concise answers in the first 100 words, used numbered lists for step-by-step instructions, and added schema markup. Within three weeks, they captured the featured snippet, increasing their click-through rate from 12% to 34% for that query and generating 1,800 additional monthly visits from a single optimized article ²³.

Semantic Search and LSI Keywords

Semantic search refers to search engines’ ability to understand context, relationships, and user intent beyond exact keyword matches, using natural language processing to interpret meaning ³⁴. Latent Semantic Indexing (LSI) keywords are terms and phrases conceptually related to the primary keyword that help establish topical relevance.

When optimizing content about “content marketing ROI,” a marketing platform used keyword research tools to identify LSI terms like “customer acquisition cost,” “lifetime value,” “attribution modeling,” and “conversion funnel metrics.” By naturally incorporating these related concepts throughout their 2,200-word guide, they signaled comprehensive topical coverage to search engines. The result was rankings for 23 related keyword variations beyond their primary target, increasing total monthly organic traffic to that page from 450 to 1,680 visitors ¹³.

Search Volume and Trend Analysis

Search volume indicates the average number of monthly searches for a specific keyword, while trend analysis reveals whether interest is growing, declining, or seasonal ³⁷. These metrics help marketers prioritize content investments and time publication strategically.

A financial services company analyzed search trends for “tax deduction strategies” and discovered volume spiked 340% between January and April each year. They created comprehensive tax-related content in November, allowing time for indexing and authority building before peak season. When search volume surged in February, their articles ranked in positions 3-7 for multiple high-value keywords, capturing 12,400 visitors during the three-month peak period and generating 340 qualified leads for their tax planning services ³⁷.

Applications in Content Marketing Strategy

Content Ideation and Editorial Planning

Keyword research platforms serve as foundational tools for content ideation, transforming abstract topics into data-backed editorial calendars ³⁷. Marketers input seed keywords related to their industry, and platforms generate hundreds of related queries, questions, and trending topics that audiences actively search for.

A sustainable fashion brand used Semrush to explore “ethical clothing” and discovered 340 related keywords, including unexpected queries like “how to identify greenwashing in fashion” (720 monthly searches) and “sustainable fabric certifications explained” (890 searches). They built a quarterly content calendar around these insights, creating 16 articles targeting specific informational and commercial intent keywords. After six months, their organic traffic increased 156%, with 12 articles ranking in the top 5 positions for their target keywords, and email newsletter signups from organic sources grew by 89% ³⁴.

Competitive Content Gap Analysis

Platforms enable marketers to analyze competitors’ keyword rankings and identify content gaps—valuable keywords competitors rank for that your site doesn’t address ¹⁴. This application reveals untapped opportunities and helps prioritize content that can capture market share.

A project management software company analyzed three main competitors using Ahrefs and discovered they collectively ranked for 2,400 keywords the company didn’t target. Filtering for keywords with 500+ monthly searches and difficulty scores under 45, they identified 67 high-opportunity terms. They prioritized 15 keywords around “remote team collaboration” and created comprehensive guides, comparison articles, and tutorial videos. Within four months, they captured rankings for 11 of these keywords, generating 1,890 new monthly visitors and 47 trial signups directly attributed to these gap-filling content pieces ¹⁴.

Content Optimization and Refresh Strategies

Beyond creating new content, keyword research platforms identify opportunities to optimize existing assets that underperform or have declining rankings ⁷⁹. Platforms audit on-page elements, suggest additional keywords to target, and recommend structural improvements.

A marketing agency reviewed their blog using Conductor’s platform and found 23 articles ranking in positions 8-15 (page 1-2 boundary) that could be optimized for better performance. For an article about “email marketing metrics” ranking in position 11, they added 600 words covering related LSI terms, updated statistics, improved header structure, and added internal links to related content. Within 45 days, the article jumped to position 4, increasing monthly traffic from 120 to 680 visitors and generating 34 email course signups ⁷⁹.

Voice Search and Conversational Query Optimization

As voice-activated devices proliferate, keyword research platforms now identify conversational, question-based queries that differ from typed searches ². This application helps marketers create content optimized for how people actually speak.

A healthcare provider used keyword research to identify voice search patterns like “what should I do if my child has a fever” (conversational) versus “child fever treatment” (typed). They created a series of FAQ-style articles with natural language answers in the first paragraph, optimized for featured snippets. These voice-optimized articles captured 12 featured snippets and increased their visibility for voice search results by 67%, with Google Assistant reading their content as the primary answer for 8 high-volume health queries in their region ²³.

Best Practices

Balance High and Low Difficulty Keywords for Sustainable Growth

Effective keyword strategies target a mix of competitive and accessible terms—typically a 70/30 ratio favoring lower-difficulty keywords that can generate quick wins while building authority for harder targets ³⁷. This balanced approach ensures consistent traffic growth while working toward high-value competitive terms.

The rationale is that new or lower-authority sites struggle to rank for highly competitive keywords regardless of content quality, leading to frustration and wasted resources. Lower-difficulty keywords provide achievable rankings that build domain authority, backlinks, and traffic momentum, creating a foundation for eventually competing for harder terms.

A B2B technology blog implemented this by targeting 21 keywords with difficulty scores under 40 alongside 9 keywords scoring 60-75. They created comprehensive content for all 30 keywords but prioritized promotion and link-building for lower-difficulty pieces first. After three months, 15 of the easier keywords ranked in the top 10, generating 3,400 monthly visitors. This traffic and the natural backlinks earned strengthened their domain authority from 28 to 34, and six months later, three of their competitive target keywords broke into the top 20 positions ³⁷.

Align Content Format with Search Intent and SERP Features

Different search intents and SERP features require specific content formats for optimal performance ²⁴. Informational queries often favor comprehensive guides and list articles, commercial intent benefits from comparison content, and transactional searches need clear product pages with strong calls-to-action.

This practice matters because search engines increasingly prioritize content that matches not just keyword relevance but format expectations. A how-to query expects step-by-step instructions, while a comparison query expects side-by-side evaluations. Mismatched formats result in high bounce rates and poor rankings regardless of content quality.

A kitchen equipment retailer analyzed SERP features for “best stand mixer for bread dough” and found the top results were comparison articles with detailed specification tables and video reviews. They restructured their existing product-focused page into a comprehensive comparison guide featuring 7 mixers, including competitors’ products, with honest pros/cons, a comparison table, embedded video demonstrations, and clear purchase recommendations. The reformatted content jumped from position 18 to position 3 within six weeks, increasing monthly traffic from 45 to 1,240 visitors and generating 89 sales with clear attribution to the article ²⁴.

Implement Regular Content Audits and Keyword Refresh Cycles

Keyword research should be an ongoing process rather than a one-time activity, with quarterly audits to identify declining rankings, new opportunities, and changing search trends ⁷⁹. Regular refreshes keep content relevant as search algorithms evolve and user interests shift.

The rationale is that search landscapes constantly change—new competitors emerge, user interests evolve, and algorithm updates alter ranking factors. Content that performed well six months ago may decline without maintenance, while new keyword opportunities appear as markets develop. Systematic audits prevent gradual traffic erosion and capitalize on emerging trends.

A financial advisory firm established quarterly keyword audits using Moz Pro, reviewing their 120-article blog for ranking changes, new keyword opportunities, and content decay. In one audit, they discovered 8 articles had dropped 5+ positions, 12 new high-value keywords had emerged in their niche, and 5 articles could target additional related keywords. They allocated resources to refresh declining content, create 4 new articles for emerging keywords, and expand 5 existing pieces. This systematic approach maintained year-over-year organic traffic growth of 34% despite increasing competition, compared to 12% growth in the previous year without structured audits ⁷⁹.

Prioritize User Experience Signals Alongside Keyword Optimization

Modern SEO success requires balancing keyword targeting with user experience factors like page speed, mobile responsiveness, clear navigation, and engaging content structure ¹⁹. Search engines increasingly use behavioral signals like dwell time and bounce rate as ranking factors.

This practice is essential because keyword-stuffed content that provides poor user experience will underperform regardless of technical optimization. Search engines aim to satisfy users, so they reward content that people actually engage with, spend time reading, and share. The best keyword strategy fails if users immediately leave the page.

A software tutorial site optimized their articles for target keywords but noticed high bounce rates (68%) and low average time on page (1:12). They implemented UX improvements: added a sticky table of contents for easy navigation, broke long paragraphs into scannable sections, embedded relevant screenshots every 200 words, improved mobile formatting, and reduced page load time from 4.2 to 1.8 seconds. While maintaining the same keyword optimization, these UX enhancements reduced bounce rate to 41%, increased average time on page to 3:47, and resulted in 7 articles climbing 3-8 positions in rankings within two months, demonstrating how user experience amplifies keyword optimization effectiveness ¹⁹.

Implementation Considerations

Tool Selection Based on Budget and Organizational Needs

Choosing appropriate keyword research platforms requires balancing functionality, budget constraints, and team expertise ³⁷. Options range from free tools like Google Keyword Planner and Google Trends to comprehensive paid platforms like Semrush ($129+/month), Ahrefs ($99+/month), and Moz Pro ($99+/month), each offering different feature sets and data sources.

Small businesses or individual content creators often start with free tools combined with one affordable paid platform, focusing on core keyword discovery and basic competition analysis. A freelance content marketer might use Google Keyword Planner for volume data, Answer the Public for question-based queries, and Ubersuggest ($29/month) for difficulty scores and basic SERP analysis, creating an effective toolkit for under $30 monthly ³.

Mid-sized marketing teams typically invest in comprehensive platforms like Semrush or Ahrefs that offer keyword research, competitive analysis, rank tracking, site audits, and backlink analysis in integrated suites. A 5-person marketing team at a SaaS company allocated $199/month for Semrush’s Business plan, enabling collaborative workflows where content writers access keyword briefs, SEO specialists monitor rankings, and managers review performance dashboards—centralizing their entire SEO workflow and eliminating the need for multiple disconnected tools ³⁷.

Audience Segmentation and Intent-Based Customization

Effective implementation requires customizing keyword strategies for different audience segments, buyer journey stages, and user intents ⁴⁵. B2B audiences search differently than B2C consumers, and awareness-stage prospects use different queries than purchase-ready customers.

A marketing automation platform segmented their keyword strategy into three audience categories: small business owners (seeking affordable, easy-to-use solutions), marketing managers at mid-sized companies (comparing features and integration capabilities), and enterprise marketing directors (evaluating scalability and security). For small businesses, they targeted keywords like “simple email automation for small business” (informational/commercial intent), created beginner-friendly guides, and emphasized ease of use. For enterprise audiences, they targeted “enterprise marketing automation security compliance” (commercial/transactional intent), developed detailed whitepapers and comparison content, and highlighted advanced features. This segmented approach generated 40% more qualified leads than their previous one-size-fits-all strategy, with content specifically matching each segment’s search behavior and needs ⁴⁵.

Integration with Broader Content Marketing Workflows

Keyword research platforms deliver maximum value when integrated into comprehensive content workflows rather than operating as isolated tools ¹⁴. This requires establishing processes for sharing insights between SEO specialists, content creators, designers, and promotion teams.

A content marketing agency implemented a structured workflow where keyword research informed every content stage: SEO analysts conducted monthly keyword research and created detailed content briefs including target keywords, LSI terms, recommended word count, and SERP feature opportunities. Content writers accessed these briefs through a shared project management system, creating drafts optimized for target keywords while maintaining natural readability. Editors reviewed for both content quality and SEO alignment before publication. Post-publication, the SEO team monitored rankings and traffic, feeding performance data back to inform future keyword prioritization. This integrated approach increased their content production efficiency by 34% while improving average keyword rankings from position 12 to position 6 across their client portfolio ¹⁴.

Organizational Maturity and Scaling Considerations

Implementation approaches should match organizational SEO maturity, scaling from basic keyword targeting for beginners to sophisticated topic authority strategies for advanced practitioners ⁷⁹. Organizations new to SEO benefit from focusing on fundamentals—targeting clear, achievable keywords and building consistent content habits—before attempting complex strategies.

A startup in their first year of content marketing began with a simple approach: identifying 50 low-difficulty keywords (scores under 30) related to their core product, creating one optimized article weekly, and tracking rankings monthly using free Google Search Console. This foundational approach generated 2,400 monthly organic visitors within six months and established basic SEO competencies across their team ⁷.

After achieving initial success, they scaled to intermediate strategies in year two: implementing topic clusters, conducting competitive gap analysis, targeting medium-difficulty keywords (30-50 scores), and investing in Ahrefs for deeper insights. By year three, with 15,000 monthly organic visitors and established domain authority, they advanced to sophisticated approaches: predictive keyword modeling for emerging trends, creating comprehensive content hubs, targeting competitive keywords (50-70 difficulty), and using custom API integrations for automated reporting. This staged maturity model prevented overwhelm while building sustainable, scalable SEO capabilities aligned with organizational growth ⁷⁹.

Common Challenges and Solutions

Challenge: Keyword Cannibalization and Internal Competition

Keyword cannibalization occurs when multiple pages on the same website target identical or very similar keywords, causing them to compete against each other in search results rather than consolidating authority into a single strong ranking ¹⁴. This dilutes ranking potential and confuses search engines about which page should rank for specific queries.

A software company discovered they had published 7 different blog articles over three years, all targeting variations of “project management best practices.” None ranked higher than position 15 because their authority was fragmented across multiple competing pages. Their keyword research platform’s site audit feature identified this cannibalization, showing all 7 articles ranking for overlapping keyword sets with none achieving strong positions ¹.

Solution:

Conduct comprehensive site audits using platform features that identify cannibalization, then implement consolidation strategies ¹⁴. The software company analyzed the 7 competing articles and identified the strongest performer (most backlinks, highest current traffic). They consolidated the best content from all 7 articles into one comprehensive 3,200-word guide, implemented 301 redirects from the 6 retired URLs to the consolidated page, and updated all internal links to point to the single authoritative resource. Within 60 days, the consolidated page jumped to position 4 for their primary keyword and captured rankings for 23 related terms, increasing monthly traffic from a combined 340 visitors (across all 7 pages) to 1,680 visitors to the single optimized page ¹⁴.

Challenge: Algorithm Volatility and Ranking Fluctuations

Search engine algorithms undergo frequent updates—Google implements thousands of minor changes annually plus several major core updates—causing ranking volatility that can dramatically impact traffic ¹². These updates often shift ranking factors, making previously successful strategies less effective overnight.

An e-commerce content site experienced a 45% traffic drop following Google’s 2024 Helpful Content Update, which prioritized experience-driven, authoritative content over generic product descriptions. Their keyword research platform’s rank tracking showed 34 of their top-performing articles dropped 5-15 positions simultaneously, correlating with the algorithm update date ¹².

Solution:

Implement diversified keyword portfolios targeting multiple traffic sources, maintain focus on fundamental quality signals that transcend algorithm changes, and use platform monitoring features to quickly identify and respond to ranking shifts ¹². The e-commerce site conducted an E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) audit of affected content, identifying that their articles lacked personal experience and unique insights. They revised content to include first-hand product testing, added author bios highlighting relevant expertise, incorporated original photography, and cited authoritative sources. They also diversified their keyword strategy to target 40% more long-tail, niche-specific terms less affected by broad algorithm changes. Within three months, they recovered 80% of lost traffic and established more stable rankings less vulnerable to future updates ¹².

Challenge: Balancing Search Optimization with Content Quality and Readability

Over-optimization—excessively focusing on keyword density, exact-match phrases, and technical SEO factors—often produces awkward, robotic content that fails to engage human readers ¹⁹. This creates tension between satisfying search algorithms and creating genuinely valuable content that converts visitors into customers.

A B2B marketing agency’s content team struggled with this balance, producing articles that ranked well initially but had 72% bounce rates and minimal conversion to lead magnets. Their writers felt constrained by rigid keyword requirements, resulting in unnatural phrasing like “For content marketing strategies, content marketing strategies are essential, and implementing content marketing strategies requires…” to hit keyword density targets ¹.

Solution:

Adopt natural language optimization approaches that prioritize semantic relevance and user value over mechanical keyword insertion ¹⁹. Implement content briefs that specify target keywords and LSI terms but emphasize natural integration and reader value. The agency revised their process: SEO specialists provided keyword targets and search intent analysis, but writers had flexibility in how to naturally incorporate terms. They established a “readability-first” editing pass before SEO optimization, ensuring content flowed naturally for humans before fine-tuning for search engines. They also used keyword research platforms’ LSI and related terms features to identify semantic variations, allowing natural language while maintaining topical relevance. This balanced approach reduced bounce rates to 38%, increased average time on page by 156%, and maintained strong rankings while improving lead conversion rates by 34% ¹⁹.

Challenge: Resource Constraints and Content Production Scalability

Comprehensive keyword research often reveals hundreds of valuable opportunities, but most organizations lack resources to create quality content for all identified keywords ³⁷. This creates prioritization challenges and pressure to produce content quickly, potentially sacrificing quality for quantity.

A growing SaaS company’s keyword research identified 340 valuable keywords they should target, but their two-person content team could realistically produce only 8 high-quality articles monthly. They initially attempted to address this by creating shorter, less comprehensive content to cover more keywords, but these thin articles failed to rank competitively and generated minimal traffic ³.

Solution:

Implement strategic prioritization frameworks that focus resources on highest-impact opportunities, and develop content efficiency systems that maintain quality while improving production velocity ³⁷. The SaaS company created a prioritization matrix scoring keywords on four factors: search volume, difficulty, business relevance, and conversion potential. They focused on the top 50 keywords scoring highest across all factors, creating comprehensive, authoritative content for these priority terms rather than spreading resources thin. They also developed content efficiency systems: creating detailed content briefs that reduced writer research time by 40%, building content templates for common article types, and repurposing high-performing content into multiple formats (blog posts into video scripts, comprehensive guides into email courses). This focused approach generated 3x more organic traffic from 50 well-executed articles than their previous strategy of 120 thin articles, demonstrating that strategic prioritization and quality focus outperform high-volume, low-quality approaches ³⁷.

Challenge: Keeping Pace with Emerging Search Behaviors and Technologies

Search behavior continuously evolves with new technologies like voice assistants, visual search, and AI-powered search experiences, requiring constant adaptation of keyword strategies ². Traditional keyword research approaches may miss emerging query patterns that don’t yet have significant historical search volume data.

A retail brand’s keyword strategy focused exclusively on traditional typed queries, missing the growing voice search segment. When they finally analyzed voice search patterns, they discovered queries like “where can I buy sustainable sneakers near me” (conversational, location-specific) were growing 180% year-over-year, but their content wasn’t optimized for these patterns. They had no local landing pages and their content used formal, written language rather than conversational phrasing ².

Solution:

Regularly research emerging search technologies and adapt keyword strategies to address new query patterns, using platform features that identify trending and question-based keywords ²³. The retail brand implemented quarterly “future search” research sessions using tools like Answer the Public and Google Trends to identify emerging query patterns. They created conversational FAQ content optimized for voice search, developed location-specific landing pages for “near me” queries, and began optimizing for visual search by implementing detailed image alt text and structured data markup. They also established a monitoring system tracking voice search rankings through specialized tools. Within six months, voice and visual search traffic grew from 3% to 18% of their total organic traffic, capturing 2,400 monthly visitors from these emerging channels and positioning them ahead of competitors still focused exclusively on traditional search ²³.

See Also

• Content Strategy and Planning
• Content Performance Analytics and Metrics
• Content Distribution and Promotion Strategies
• Competitive Content Analysis

References

1. HawkSEM. (2024). Content Marketing and SEO. https://hawksem.com/blog/content-marketing-and-seo/
2. Clickworker. (2024). Keyword Marketing. https://www.clickworker.com/content-marketing-glossary/keyword-marketing/
3. HubSpot. (2024). How to Do Keyword Research. https://blog.hubspot.com/marketing/how-to-do-keyword-research-ht
4. Semrush. (2024). SEO and Content Marketing. https://www.semrush.com/blog/seo-and-content-marketing/
5. Content Marketing Institute. (2024). What is Content Marketing. https://contentmarketinginstitute.com/what-is-content-marketing
6. Klaviyo. (2024). What is a Keyword. https://www.klaviyo.com/glossary/what-is-a-keyword
7. Conductor. (2024). Keyword Research. https://www.conductor.com/academy/keyword-research/
8. Michigan State University DX Studio. (2024). SEO Keywords. https://dxstudio.msu.edu/website-technology/seo/keywords
9. Digital Marketing Institute. (2024). What is SEO. https://digitalmarketinginstitute.com/blog/what-is-seo