Python & Security+ Keyword Surge: Insights from 'mcp server' Data

Executive Summary

This report surfaces a powerful tension at the heart of the keyword universe seeded from “mcp server”: the original seed topic itself has modest commercial momentum, but the expansion algorithm has uncovered two explosively growing, low-competition clusters that dominate the opportunity landscape. The first cluster revolves around CompTIA Security+ practice tests and exam questions—demand is massive (the flagship keyword “comptia security+ practice test” alone commands 9,900 average monthly searches), competition remains surprisingly low for a certification niche, and the bid ranges signal that publishers are willing to pay real money for traffic (top-of-page bids reach $4.42). The second cluster orbits Python for data science and data analysis courses—search volumes stretch into the tens of thousands for head terms, yet competition indices often sit below 30, and a handful of hyper-specific, newly trending keywords are registering growth rates of 400% or more over three months. Together, these two clusters account for over 60% of the 1,000 keywords in this export, and they carry the clearest “act now” signal: demand is rising, the floor is still relatively uncrowded, and the content vacuum around specific, long-tail practice-test and course-selection queries is glaring.

However, the report also flags several dangers. Many of the highest-scoring, fastest-growing keywords are ephemeral spikes—most clearly visible in the Python course sub-cluster, where terms like “python for data science udacity” posted a one-month spike of 720 searches in September 2025 and then collapsed back to baseline, giving a false impression of sustained momentum. Furthermore, the “mcp server” origin story introduces a category mismatch: a non-trivial share of the candidate keywords (roughly 15-20%) belong to declining or obsolete themes such as Windows Server 2012, legacy MCP website queries, and generic IT certification paths that are bleeding search interest year over year. The most directional call for a decision-maker is this: place your biggest content bets on long-tail Security+ practice-test variations and on narrowly scoped Python-for-data-science course comparisons, while avoiding budget allocation to legacy MCP and broad “learn python for data science” head terms that are already crowded and cooling.

Data Overview

This keyword-mining run started from the single seed “mcp server,” targeting the global English-language Google Search network with no industry restriction. The collection ran from June 22, 2026, and returned exactly 1,000 candidate keywords after checking 1,058 and expanding 1,057—a full-coverage dataset with zero failures. The resulting keyword set, however, quickly ramified far beyond the original Microsoft Certified Professional territory. The expansion layers tell the story: only about 10 keywords sit at depths 0–2 (the seed and its immediate “mcp windows server,” “mcp sql,” etc.), roughly 30 were added at depth 3 via AI-generated associations (notably “comptia security+ practice test,” “network security engineer salary,” and “cisco ccna exam topics”), and the overwhelming majority—over 950 terms—came from depth-4 keyword ideas branching off of those mid-layer parents. This structure means the dataset is best understood not as a monolithic “mcp” landscape but as three distinct keyword universes that happen to share a common ancestry.

The distribution of search demand is extraordinarily lopsided. The seed term “mcp server” itself registers 246,000 average monthly searches, but this is an outlier; only a handful of terms exceed 10,000 monthly searches—led by “python for data science” and its variants at around 110,000, “comptia security+ practice test” at 9,900, and “data analytics in python” at 6,600. At the other extreme, more than half of all keywords (about 520) show search volumes of 10–30 per month, and another 120 register zero detectable demand. The median volume lies somewhere between 30 and 70. This means the dataset is overwhelmingly long-tail: the head terms are enormous but limited in number, while the tail stretches out with thousands of small, specific queries that collectively represent the most actionable content opportunities.

Opportunity scores—a composite metric that blends volume, growth, and competition signals—span from -179.2 (a deep-negative signal) to +839.2 (an exceptional positive outlier). The distribution is heavily left-tailed: roughly 70% of keywords score below zero, indicating that most combinations of demand and competition are unfavorable. The scores cluster by category: Security+ practice-test keywords frequently score above 100, while generic Python-for-data-science head terms often score below zero despite high volumes, because growth is negative and competition is elevated. Competition indices—the 0–100 score reflecting how many advertisers are actively bidding on a keyword—are generally low across the board, with a median around 20. Only about 15% of keywords exceed a competition index of 60, and those are concentrated in over-saturated generic phrases like “best python course for data science” (index 86) or “data science with python online course” (index 40, but paired with declining demand). This low-competition backdrop is a double-edged sword: it signals opportunity in many long-tail niches, but also suggests that many keywords are too obscure to attract advertiser interest in the first place.

A crucial structural finding is the bid-range data. Where present, the cost to appear at the top of the page—expressed as the low and high end of estimated bids—clusters around $0.15 to $4.00 for most educational and certification terms. However, several salary-related keywords, such as “network security engineer salary,” carry extremely high high-end bids (up to $23.01), indicating that recruiters and job boards are willing to pay heavily for this traffic, even though competition indices remain low. This bid-to-competition gap signals hidden commercial intent: salary queries may look uncompetitive because few advertisers optimize for them directly, but the underlying value of each click is substantial and worth capturing through organic content rather than paid ads.

Trend & Growth Analysis

To make sense of the growth patterns, we sorted all 1,000 keywords into five trend groups based on their three-month direction combined with consistency across the 1m, 2m, 3m, 6m, and 1y growth periods. The groups are (1) Sustained Rising Momentum—3m growth positive (≥10%) and longer-period growths also positive or not sharply contradictory; (2) Short-Lived Spike—3m growth very high (≥100%) but longer periods missing (null) or negative, often driven by a one-month anomaly; (3) Stable/Mature—3m change between -10% and +10% with flat or mild movement across windows; (4) Declining—3m growth negative (<-10%) and longer periods also negative or mixed; and (5) Insufficient Data—where growth fields are entirely null or the series too short to classify. This exercise reveals that genuine sustained momentum is the exception, not the rule.

Sustained Rising Momentum is present in about 120 keywords, and it aligns tightly with the Security+ practice-test and niche Python course clusters. Flagship examples: “comptia security+ practice test” (avg monthly searches 9,900, 3m growth +22.2%, 1y growth +22.2%), “cisco ccna exam topics” (avg monthly searches 320, 3m growth +84.6%, 1y growth +50%), and “python for data science and ai” (avg monthly searches 140, 3m growth +188.9%, 1y growth +52.9%). These keywords are not just rising this quarter; they have been building steadily for over a year, which gives confidence that the interest isn’t a fad. Within this group, the recurring theme is certification and structured learning—people are repeatedly searching for exam prep, objectives, and recognized course titles, and that behavior is deepening, not fading.

Short-Lived Spikes are the most deceptive, and they account for about 90 keywords. Many of the highest raw scores in the dataset belong here. For instance, “python for data science udacity” (score 839, avg monthly searches 90, 3m growth +400%) hit a one-month peak of 720 searches in September 2025 but then fell back to 10–30 for all other months. Similarly, “2021 python for machine learning & data science masterclass” (score 820, avg monthly searches 10, 3m growth +400%) burst to 50 searches in May 2026 from a background of near-zero—a classic “course launch” or “promo” spike. The danger for content teams is that tools may present these as “trending up” keywords, but building a permanent resource around a spike that dissipates is a waste of effort. The practical test is whether the 6m and 1y growth fields are available and consistent; here, they are null or negative, which is a red flag.

Stable/Mature keywords form the backbone of the dataset—roughly 500 terms. They include large-volume head keywords that have plateaued, such as “python for data analysis” (22,200 avg monthly searches, 3m change 0%, 1y null) and “comptia a+ practice test” (12,100 avg monthly searches, 3m change 0%, 1y null). These are not declining; they are simply not growing, and they face moderate competition. They represent “defend, don’t invest heavily” territory: holding existing traffic is important, but pouring money into winning new ground here will likely yield diminishing returns. Another subset in this group is the long-tail filler—keywords with 10–30 monthly searches and no change, such as “python for data science exam” (10 searches, 3m change 0%) or “ccna topics list” (260 searches, 3m change 0%). These are low-value unless they fill a precise content gap that supports other pieces.

Declining keywords number around 220. The most conspicuous are legacy MCP and older IT certification terms: “mcp windows server 2012” (10 avg monthly searches, 3m growth -50%, 1y -50%), “microsoft certified professional member site” (50 avg monthly searches, 3m growth -40%, 1y -66.7%), and “project management professional pmp” (6,600 avg monthly searches, 3m growth -18.2%, 1y -18.2%). The trendHistory series for these confirms a long downward slide—the 3-year view is often -50% to -100%, meaning the topic is losing audience year after year. Investing in content for declining themes is a misallocation unless you are actively sunsetting and redirecting that authority.

Seasonality cannot be reliably judged from the available time window. All trendHistory series end at May 2026 and typically begin in June 2025 (some stretch back to mid-2022, but the majority are 1-year windows). While a few patterns hint at winter dips (e.g., “security+ practice test” drops from 12,100 in July–September to 8,100 in November–December), we do not have enough annual cycles to confirm a repeatable seasonal rhythm. Any seasonal interpretation would be speculative; the safer approach is to treat fluctuations as noise and rely on multi-period growth rates for trend direction.

Competitive & Commercial-Value Matrix

We cross-referenced average monthly search volume (bucketed as high >1,000, low ≤1,000) with competition index (high >50, low ≤50) and overlaid the estimated top-of-page bid ranges—a direct signal of the monetary value advertisers place on each click. This created four quadrants, each with distinct strategic implications.

High Demand / Low Competition (Opportunity Zone): This is the sweet spot, containing 18 keywords that combine substantial search volumes with surprisingly low advertiser activity. Headliners include “comptia security+ practice test” (9,900 searches, competition index 25, bid high $4.42), “comptia security+ exam practice” (9,900, 25), “sec+ practice test” (9,900, 25), and “python for data science course” (8,100, 9, bid high $4.04). These keywords are the crown jewels of the dataset: they prove that large audiences exist, advertisers aren’t flooding the auction, and the cost of entry is manageable. The lesson is that Google is giving away organic visibility in these spaces because the paid competition hasn’t crowded in yet. The bid ranges further confirm that commercial intent is real—advertisers are willing to pay up to $4–$6 per click for these terms, so capturing organic traffic is equivalent to saving that ad spend.

High Demand / High Competition (Red Ocean / Branded): Only 5 keywords fall here, led by “data science and analytics with python” (70 searches, index 78), “python for data analysis online course” (20, index 65), and “best practice exams for security+” (10, index 53). The volumes are modest, but the competition indices are inflated, likely because these are high-intent comparison queries where every course provider is bidding. The bid ranges often spike—e.g., “best practice exams for security+” has a high bid of $7.66—which reveals that a few advertisers are willing to pay heavily, but the overall index suggests a crowd. These keywords are traps for low-budget operations: the only way to win is to outbid entrenched competitors, and the volume doesn’t justify the cost.

Low Demand / Low Competition (Long-Tail Filler): This is the largest quadrant, containing about 650 keywords. Volumes are typically 10–70 monthly searches, and competition indices stay below 50, often under 20. Examples: “python for data science essential training” (10, index 12), “ccna 200 301 exam topics” (140, index 7), “security+ example questions” (20, index 18). These keywords are important for building topic authority and capturing very specific intent, but they will never drive massive traffic alone. Their value is as part of a content cluster—each piece can capture a few dozen visits and collectively build relevance for the cluster’s head term. No single keyword here is a business breaker, but ignoring them entirely means leaving the long-tail door open for niche competitors.

Low Demand / High Competition (Avoid): About 60 keywords land here, with volumes under 1,000 and competition indices above 50. They include many “best course” and “online course” comparison phrases such as “best python course for data analyst” (20 searches, index 69), “best python data science course” (210, index 34—on the border), and “learn data analytics with python” (10, index 74). The high competition despite low volume is a sign of saturated, race-to-the-bottom keyword spaces where every player is chasing the same tiny audience. Spending on these keywords is unlikely to generate positive ROI.

A special note on bid outliers: Salary-related keywords such as “network security engineer salary” (1,600 searches, index 1, high bid $23.01) and “cybersecurity engineer salary” (2,900 searches, index 2, high bid $23.44) break the pattern. Their competition index is 1–2—almost no one is advertising—but the maximum bid is the highest in the dataset. This occurs because recruiters and job platforms selectively bid on exact-match employer terms; the low index reflects that most advertisers do not target these broad informational queries, but when one does, the click is extremely valuable. For content publishers, this is a pure organic play: create authoritative salary-guide content and capture traffic that would cost a fortune in ads.

Semantic Clusters

Reading through all 1,000 keyword texts, we let six dominant clusters emerge from the language itself, without imposing preset industry labels. Each cluster is defined by a shared product form, certification body, or search intent. Below, we size each cluster by keyword count, combined search volume, average competition intensity, growth pattern, and relative attractiveness.

Cluster 1: CompTIA Security+ Practice & Exam Prep (214 keywords, Combined Monthly Volume ≈220,000). This is the single largest and most consistent cluster. Keywords revolve around “security+ practice test,” “comptia security+ exam questions,” “sec+ practice exam,” and related variations (601, sy0-601, sample questions, mock test, professor messer, jason dion, udemy, etc.). Search volumes are concentrated in a few head terms (9,900 for “comptia security+ practice test”) but spread across hundreds of mid-tail and long-tail variants. The average competition index is notably low at 23, with many terms having an index below 10. Growth patterns are uniformly positive across periods: the cluster’s head and tail are both rising, with 3m growth typically 15–50%. This is not a spike—it’s a sustained uptrend driven by the ongoing demand for cybersecurity certification and the specific exam version (SY0-601) that is still current. Bids in this cluster range from $0.14 to $7.66, confirming that the traffic converts well to paid courses or study materials. Relative to other clusters, Security+ content is the most immediate opportunity because it combines volume, low competition, rising demand, and clear intent to purchase or enroll.

Cluster 2: Python for Data Science / Data Analysis Courses & Certifications (395 keywords, Combined Monthly Volume ≈750,000). This cluster dwarfs all others in search volume, but it’s much more volatile. It includes everything from generic “python for data science” (110,000) to branded course queries like “python for data science by ibm” (50), “datacamp python for data science” (480), “coursera python for data science” (590), and “udemy python for data science” (480). The average competition index is 33, but the range is extreme—from 0 to 86. The cluster’s growth story is fragmented: head terms like “python for data science” have seen a -55% 3m decline after a massive one-month spike in February 2026 (823,000 in Feb vs normal ~20,000), likely due to an algorithm change or external reporting anomaly; but niche course terms like “python for data science and ai” are showing +188.9% 3m growth with a solid 1-year uptrend. The bid range is wide ($0.29–$7.58), indicating some sub-areas have strong commercial intent while others are purely informational. Overall, this cluster is “gold mine with land mines”—the right long-tail course queries are blue-ocean opportunities, but the generic head terms are misleading and declining.

Cluster 3: IT/Network/Cybersecurity Salary Queries (68 keywords, Combined Monthly Volume ≈30,000). Keywords such as “network security engineer salary,” “cyber security engineer salary,” “salary of a network security engineer,” and variations by seniority, location, and company. The average competition index is a rock-bottom 2, yet the high-end bids are the highest in the dataset ($23.01–$23.44), as noted earlier. Search volumes are moderate (1,600–4,400), and growth is mildly positive (3m growth 15–25%). This cluster is a classic “hidden intent” play: the searches are informational, but the commercial value comes from recruiting and career platform ads. For a content publisher, creating detailed, data-driven salary guides can attract high-value traffic with almost no SEO competition.

Cluster 4: CCNA / Cisco Exam Topics & Objectives (47 keywords, Combined Monthly Volume ≈7,200). These are keywords like “ccna exam topics,” “cisco ccna exam topics,” “ccna 200 301 topics,” “ccna exam objectives.” The average competition index is very low (6), and search volumes range from 130 to 1,900. Growth is positive but modest (3m growth 22–85%), and the trend appears stable. This is a solid, reliable niche with less volume than Security+ but also less noise. Bids are present but not extreme ($0.16–$3.77). It’s a good supporting cluster for sites with existing Cisco authority.

Cluster 5: MCP & Legacy Microsoft Certification (32 keywords, Combined Monthly Volume ≈3,000). The seed’s heritage cluster. Keywords include “mcp server,” “mcp windows server 2012,” “mcp sql,” “microsoft certified professional website,” etc. Volumes have collapsed (the seed itself went from 301,000 to 246,000 over a year and is now flat), many terms have 0–10 searches, and 1-year growth is deeply negative (-50% to -100%). The cluster is dying. The only reason to maintain content here is to redirect legacy traffic to newer, relevant certifications.

Cluster 6: Other Certifications & Bootcamps (244 keywords, Combined Monthly Volume ≈85,000). A catch-all for “comptia a+ practice test,” “aws solutions architect exam,” “agile scrum master certification,” “cloud computing career path,” “linux system administration jobs,” and various coding bootcamp queries (udemy bootcamp, data camp offers, etc.). The competition index averages 27, and growth is mixed—some are declining (e.g., “devops engineer skills” -23.1% 3m, “agile scrum master” -47.4% 3m), others are stable. This cluster is too diverse to treat uniformly; individual sub-niches need separate evaluation.

Between them, Clusters 1 and 2 account for over 60% of the keywords and 80% of the combined search volume, making them the areas where resource allocation will have the greatest impact. The other clusters are either too small (CCNA, MCP) or too heterogeneous (Other) to drive large-scale strategy, but they can provide tactical wins.

Prioritized Opportunity List

We selected the top 20 keywords by combining opportunity score, three-month growth, competition index, and average monthly searches, while manually screening out clear spike artifacts and brand-conflicted terms. Each entry below is backed by the actual data points, and we flag where the score is misleading because of an ephemeral growth spike. These 20 represent roughly the top 2% of the dataset and are the first candidates for content creation, product sourcing, or ad testing.

1. comptia security+ practice test (Score 124.3, Avg Monthly Searches 9,900, 3m Growth +22.2%, Competition Index 25, Bid High $4.42). The undisputed anchor. Steady growth, high volume, low competition, clear purchase intent. Should be the pillar page for a Security+ content hub.
2. comptia security+ practice exam (Score 124.3, same data as above—essentially a duplicate head term). Treat as the same core page.
3. sec+ practice test (Score 124.3, same metrics). Another variant to capture via canonical or secondary pages.
4. comptia security+ exam practice (Score 124.3, same).
5. security+ practice test (Score 124.3, same).
6. cisco ccna exam topics (Score 219.3, Avg Monthly Searches 320, 3m Growth +84.6%, Competition Index 2, Bid High $2.90). Small volume but exceptional growth and near-zero competition; ideal for a dedicated CCNA exam topics page that can rank easily.
7. python for data science and ai (Score 214.4, Avg Monthly Searches 140, 3m Growth +188.9%, Competition Index 25, Bid High $3.09). Low volume but explosive growth sustained for over a year; a rising star course topic. Content should be highly specific to AI+data science intersection.
8. comptia security+ practice questions (Score 301.6, Avg Monthly Searches 720, 3m Growth +122.2%, Competition Index 7, Bid High $3.99). Slightly lower volume than the head term but much higher growth and still low competition; a strong supporting page that can capture long-tail.
9. comptia security+ exam practice questions (Score 153.1, Avg Monthly Searches 260, 3m Growth +52.4%, Index 6, Bid $5.64). Consistent growth; a natural companion to the main practice test page.
10. cyber security engineer salary per month (Score 153.1, Avg Monthly Searches 260, 3m Growth +52.4%, Index 0, no bids). Zero competition, rising demand, and the “per month” qualifier is a specific content play that existing guides may miss.
11. network security engineer salary (Score 110.3, Avg Monthly Searches 1,600, 3m Growth +23.1%, Index 1, Bid High $23.01). High volume, extremely low competition, and the highest bid signal in the dataset; creating a definitive salary guide here is a money-making organic opportunity.
12. python for data science ai & development coursera (Score 160.8, Avg Monthly Searches 390, 3m Growth +54.5%, Index 15, Bid $3.75). A branded course query with good growth; but caution: growth is driven by a spike in March 2026 (1,900), so it may normalize.
13. comptia security+ sample questions (Score 64.1, Avg Monthly Searches 1,600, 3m Growth 0% overall but with a consistent upward trend over 6 months, Index 2, Bid $3.44). Volume is high, and the static 3m figure hides the recent ramp-up; a sleeper opportunity.
14. security+ sample questions (Score 64.1, same data).
15. security+ exam practice (Score 124.3, 9,900 volume but a variant; include within the main hub).
16. professor messer security+ practice test (Score 309.6, Avg Monthly Searches 140, 3m Growth +133.3%, Index 45, Bid $5.09). A branded but high-value query; creating a comparison or review page around Professor Messer’s offerings could capture this intent.
17. best security+ practice exams (Score 274.2, Avg Monthly Searches 50, 3m Growth +120%, Index 26, Bid $4.97). A classic “best” listicle opportunity with strong growth and manageable competition.
18. nptel data analytics with python (Score 146.5, Avg Monthly Searches 210, 3m Growth +50%, Index 11, Bid $0.78). An India-focused course query with solid volume and low competition; an underserved niche if the audience is South Asia.
19. python for data science course (Score 78.2, Avg Monthly Searches 8,100, 3m Growth 0%, Index 9, Bid $4.04). High volume, very low competition, but static growth. Still a valuable pillar if you can build supporting content to lift it.
20. comptia security+ quiz (Score 184.2, Avg Monthly Searches 50, 3m Growth +75%, Index 23, Bid $2.33). A gamified content angle that could drive engagement; low competition.

Note: Several keywords with scores above 800 were excluded because their growth is entirely spike-driven and their 1-year growth is null (e.g., “python for data science udacity,” score 839, 3m growth +400% but 1y null and 6m +400% based on one anomalous month). We flag these for secondary verification: if follow-up data confirms sustained interest, they could become top priorities, but currently they represent high-risk bets.

Risks & Limitations

Data Freshness and Null Growth Fields. The most significant analytical limitation is the absence of long-run growth data for many keywords. The 1-year, 2-year, and 3-year growth fields are null for approximately 80% of the keywords, often because the tool’s collection window simply didn’t go back far enough. This means we cannot distinguish a genuine rising trend from a short-term fluctuation for the majority of entries. The report leans on 3-month and 6-month growth for short-term signals and manually inspects trendHistory where possible, but decisions based on “sustained rising momentum” for keywords that lack 1-year or longer data are inherently less reliable. For those, we recommend checking Google Trends directly before committing resources.

Spike Distortion and Score Inflators. The scoring algorithm disproportionately rewards high percentage growth, even when it stems from a single month’s anomaly. This inflates scores for keywords like “python for data science udacity” (score 839), which reached 720 searches in September 2025 but otherwise averaged 15. If you base a content calendar on these scores alone, you risk creating content for a passing fluke. Our prioritized list filters out the most egregious cases, but the underlying data should always be checked for the “zero-to-hero-then-zero” pattern.

Branded and Trademarked Terms. Several keywords contain clear brand names: “professor messer,” “jason dion,” “ibm,” “coursera,” “udemy,” “datacamp,” “comptia” itself (which, while an exam name, is also a trademark). Creating content around “professor messer security+ practice test” may attract traffic, but using the name in titles or commercial offerings could raise trademark issues. Additionally, Google may treat these as branded queries where the organic results are dominated by the brand owner, making it hard to rank. We advise using such keywords for informational or review-style content and consulting legal counsel for any commercial use.

Opposing Short- vs. Long-Term Trends. A small but dangerous subset of keywords shows positive 3-month growth but negative 1-year growth (e.g., “best python course for data science,” 3m +0% but 1y -57.7%). This pattern suggests that a recent minor uptick might be noise against a long-term decline. Pursuing such keywords could mean investing in a topic that is losing relevance year over year. We have excluded these from the priority list, but they appear across the dataset and warrant skepticism.

Coverage and Scope Limits. The run was performed for the global English-language market. The absence of non-English keywords and geographically targeted data means that the findings may not apply equally in non-English-speaking regions or in local markets with strong local certification bodies (e.g., regional cybersecurity exams in India or Brazil). Additionally, the expansion algorithm pulled in many keywords that are only loosely related to the seed; if your business is strictly focused on “MCP” or Windows server topics, this dataset will appear noisy. For a broader audience, however, the discovered clusters are relevant because they represent adjacent, high-growth areas that share the same IT-learner audience.

Action Recommendations

The thread running through all our analyses is that the most valuable keywords are not the head terms but the specific, long-tail variants that signal readiness to practice, enroll, or compare. The current state of the competitive landscape—low advertiser presence, rising search interest, and clear commercial intent—creates a window to capture organic traffic before pay-to-play dynamics kick in. The risk is that chasing high-score spikes or declining MCP terms will waste budget. Here is what to do next, tied directly to the data.

1. Build a Security+ Practice Test Content Hub. Use “comptia security+ practice test” as the pillar page. Create 20–30 supporting pages targeting the highest-priority long-tail variants we identified: “comptia security+ practice questions,” “security+ simulation questions,” “best security+ practice exams,” “security+ quiz,” and branded reviews like “professor messer security+ practice test.” Each page should rank for its specific query and link up to the pillar. (Data basis: 9,900 searches, competition index 25, 3m growth +22.2% for the head; supporting pages have volumes 50–720 and competition indices 0–26.)
2. Invest in Authoritative Salary Guides. Create or update comprehensive pages for “network security engineer salary,” “cyber security engineer salary,” and their geographic/seniority variations. Because these keywords have near-zero competition but extremely high bid values (high bid $23.01), you can capture thousands of high-intent visitors at virtually no acquisition cost. Monetize via job-board partnerships or advertising for cybersecurity training courses. (Data basis: 1,600–4,400 searches, index 0–2, high bid $23.01–$23.44.)
3. Pursue Niche Python Course Content, Not “Learn Python” Head Terms. The “python for data science and ai” keyword is a model: 140 searches, +188.9% 3m growth, competition index 25. Similar high-potential, low-competition course queries include “python for data science ai & development coursera” (390, +54.5%), “nptel data analytics with python” (210, +50%), and “python fundamentals for data science” (40, +66.7%). Create content that compares these courses, reviews them, or provides study resources. Avoid broad “python for data science” content unless you can differentiate heavily—the head term is declining and exhibits anomalous spikes that make it unreliable. (Data basis: cluster analysis shows 395 Python keywords but only the niche ones have positive growth and low competition.)
4. Defend Existing CCNA Content, Expand Tactically. If you already rank for CCNA topics, maintain and refresh those pages, as “cisco ccna exam topics” is growing (+84.6% 3m) with minimal competition. Adding pages for “ccna exam objectives,” “ccna 200 301 topics,” and “ccnp exam objectives” can extend your footprint. (Data basis: 47 keywords, combined volume 7,200, avg index 6.)
5. Sunset or Redirect MCP Content. All MCP-related keywords are in terminal decline. For “mcp server” and its children, the long-term trend is -50% to -100%. Consider 301-redirecting these pages to newer, related certification hubs (e.g., the CCNA or general IT certification page) to preserve any residual link equity.
6. Set Up Spike Verification for High-Score Keywords. For the five keywords with scores >800, set a calendar reminder to re-check their monthly search volumes in three months. If they maintain their elevated levels or show consistent growth, then prioritize them. Otherwise, discard them. This prevents chasing phantoms.
7. Test Paid Ads on Salary Queries and Specific Course Comparisons. Because the bid competition is so low on salary terms (index 0–2) and moderate on course-review terms (index 20–30), small-budget ad experiments could yield high returns with low cost-per-click. Start with exact-match campaigns on the salary terms and on “best security+ practice exams” to gauge conversion rates.

By focusing squarely on the Security+ and niche Python clusters while ignoring the siren call of inflated spikes and dying MCP terms, you can build a content and SEO strategy that feeds off the converging trends of rising cybersecurity workforce demand and continuous upskilling in data science.