Strategy

How to See Competitors' Keywords Without Wasting Half Your Sprint

Gofylo··13 min read
How to See Competitors' Keywords Without Wasting Half Your Sprint

As of 2026, the gap between SaaS companies that systematically mine competitor keyword data and those that guess their way to content calendars has become a measurable revenue difference. When you can see competitors' keywords — the exact terms driving their organic traffic, their paid ads, and their AI search citations — you stop building content in a vacuum and start compounding on what the market has already validated. That shift is not subtle. It is the difference between a content program that stalls at 5,000 monthly sessions and one that breaks six figures.

This guide walks you through a sequential, repeatable process for extracting competitor keyword intelligence, filtering it for opportunity, and turning it into content that ranks in both traditional Google results and AI engines like ChatGPT, Claude, Perplexity, and Gemini. Whether you are running lean as a solo founder or managing a growth-stage content team, the workflow below scales to your capacity. We will also cover the tools — free and paid — that make each step faster, including how platforms like Semrush, Ahrefs, and SpyFu surface different layers of data, and where autonomous systems like Gofylo slot in to remove the manual execution bottleneck entirely.

Thesis: The most efficient path to keyword gap dominance is a systematic process — domain input, data export, gap filter, intent match, content execution — applied consistently. Every step below is designed to produce a decision, not just a report.

Prerequisites: What You Need Before You Start

Before you open any tool to see competitors' keywords, three inputs need to be locked in. First, you need a defined competitor list — not just the brands you think of as competitors, but the domains that are actually ranking for the keywords your buyers search. These two groups often do not fully overlap. A content-heavy media site or a well-funded adjacent SaaS product may be capturing more of your search demand than your direct product competitors. Second, you need at least one keyword intelligence tool with a crawled database — free tools that scrape live SERPs in real time will give you a narrow and unstable view. Third, you need a destination for your output: a spreadsheet, a project management board, or a content platform where filtered keywords can flow directly into briefs. Running this process and dumping results into a folder no one revisits is the most common failure mode.

  • A list of 3–6 competitor domains (product competitors AND content competitors)
  • Access to at least one keyword database tool — Semrush, Ahrefs, or SpyFu cover the broadest crawled indexes
  • A content tracking system: spreadsheet, Notion, or a CMS with content status fields
  • Your own site's current keyword rankings as a baseline (export from Google Search Console first)
  • A basic understanding of your funnel stages — which keywords signal awareness vs. intent vs. evaluation

Step 1: Identify Your True Keyword Competitors

Your first step is to separate product competitors from keyword competitors, because they are not the same list. A keyword competitor is any domain that ranks on page one for the queries your ideal customers type — regardless of whether that domain sells anything similar to you. To find keyword competitors quickly, take your three highest-traffic pages and run them through a tool like Semrush's Keyword Gap or Ahrefs' Competing Domains report. Both surfaces will show you which domains appear most frequently alongside yours in the SERPs you already own. From that output, sort by overlap count and pull the top five to eight domains. This list becomes your competitor set for the rest of the process. Do not skip this step — starting with the wrong competitor list is the single most common reason keyword gap analyses produce irrelevant results.

  • Enter your domain into Semrush or Ahrefs and navigate to the Competing Domains or Organic Competitors report
  • Export the top 10–15 competing domains sorted by keyword overlap
  • Cross-reference against your product competitor list — note which product competitors do NOT appear here
  • Add 2–3 content-heavy domains from your niche even if they are not direct product competitors
  • Lock in a final list of 5–8 domains to analyze in the next steps

Step 2: Pull Competitor Keyword Data From the Right Sources

Once your competitor list is set, you need to pull their keyword data from multiple source types — because organic keywords, paid keywords, and AI-cited keywords are three distinct datasets that tell you different things about where your competitors are winning demand. Most teams stop at organic, which means they miss paid keyword signals that reveal which terms are proven buyers (someone is spending money on those clicks), and they completely miss the emerging AI search layer where citations from ChatGPT and Perplexity are increasingly driving first-touch awareness. A complete picture requires all three. Here is how to extract each.

Organic keyword tools

For organic data, Semrush and Ahrefs remain the two most comprehensive options as of 2026. Enter a competitor domain, go to Organic Research, and export the full keyword list — positions, estimated traffic, keyword difficulty, and SERP features. SpyFu is a strong alternative for teams on tighter budgets and offers a particularly clean UI for seeing the keywords a domain has ranked for historically, not just currently. To see competitors' keywords for free, Google Search Console shows your own data, and tools like Ubersuggest offer limited competitor lookups at no cost — but the free tier data is shallow. For serious gap work, a paid tool is worth the spend.

To check how to find competitors' Google Ads keywords specifically, SpyFu is the most specialized tool in the market — it shows every keyword a competitor has ever bought, every ad variant they have tested, and their estimated monthly spend. Semrush's Advertising Research tab provides similar data within a single platform. Paid keyword data is especially valuable for SaaS companies because it surfaces high-intent commercial terms that competitors have validated with actual budget. If a competitor has been bidding on a keyword for twelve or more months, that is a strong signal that the keyword converts for them. Apply the same logic to your own content strategy: those terms deserve bottom-of-funnel content, not just blog posts.

AI search visibility tools

Traditional keyword tools do not show you whether your competitors are being cited by ChatGPT, Claude, Perplexity, or Gemini — but that gap in tracking is increasingly costly. A growing share of B2B buyer research now begins with an AI query, and the brands that get cited in those responses capture top-of-funnel awareness before a Google search ever happens. Gofylo's AI Visibility Tracker monitors exactly this layer, surfacing which brands are being cited across AI engines and scoring their presence with a single AI Visibility Score benchmark. If a competitor's score is consistently high while yours is low, you have an AI search gap that organic keyword analysis will not detect.

According to Semrush's 2025 analysis, the team exported over 500,000 keywords from its U.S. database and after removing duplicates and rows without a KD score, analyzed over 188,000 valid keywords across five industries — including SaaS and Finance. The scale of available keyword data is enormous; the real work is filtering it for relevance.

Step 3: Run a Keyword Gap Analysis to Find the Actual Opportunities

A keyword gap analysis compares your keyword footprint against your competitors' to identify terms they rank for that you do not. This is the core diagnostic step that converts raw competitor keyword data into a prioritized opportunity list. In Semrush, the Keyword Gap tool lets you enter your domain alongside up to four competitor domains and filter for keywords where competitors rank in the top 10 but your domain ranks below position 20 or does not rank at all. Ahrefs has an equivalent Content Gap report under the Site Explorer. Export the output, and you have a raw list of gaps — but that list will be long and noisy, which is why the next filtering step is mandatory before any content decisions are made. Related to this: if you have already done an SEO content gap analysis, the output of that exercise feeds directly into this step as your starting dataset.

  • Open Semrush Keyword Gap or Ahrefs Content Gap
  • Enter your domain as the primary and 3–5 competitor domains as comparisons
  • Filter for keywords where at least two competitors rank in positions 1–10 and you rank below 20 or not at all
  • Export the filtered list — typically 200–2,000 keywords depending on niche size
  • Add columns for search intent, monthly search volume, and your existing content coverage
  • Flag keywords where you have zero content as highest priority for net-new creation
  • Flag keywords where you rank 11–30 as quick-win optimization targets for existing pages

Step 4: Filter by Intent and Competitive Difficulty

A raw keyword gap list is not an editorial calendar. Before any keyword moves into production, it needs to pass two filters: search intent match and competitive difficulty assessment. Intent match means asking whether the person searching this keyword is at a stage of the funnel where your content can convert them — or at least build the right brand association. A keyword like 'project management software for remote teams' signals clear commercial intent from a B2B buyer; a keyword like 'what is agile methodology' may attract students and developers with no purchase intent. Both might appear in a competitor's keyword list, but only the first belongs in your bottom-of-funnel content priority. Difficulty filter removes terms where the SERP is dominated by domain-authority giants you cannot outpace with content quality alone — at least not in the near term.

Understanding SaaS keyword difficulty

SaaS is one of the most competitive keyword environments in search. According to Semrush's 2025 keyword competition analysis, Finance and SaaS are the two most competitive industries analyzed, with nearly a 1:1 ratio of easy-to-hard keywords. That means roughly half the keywords you identify in a gap analysis will have difficulty scores that make them slow wins at best. The practical implication: for early-stage or growth-stage SaaS companies, prioritize medium-volume keywords with KD scores below 40 and clear commercial or informational intent aligned to your funnel. High-volume head terms are useful for content strategy signaling but rarely convert as efficiently as the long-tail clusters your competitors are ranking for in positions 4–15.

Intent filter first. Before you score difficulty, eliminate every keyword whose intent does not match a stage in your funnel. A keyword that sends the wrong traffic is a resource drain even if you rank number one for it.

Prioritize competitor keywords in positions 4–15. These are terms where competitors have established relevance but have not fully locked down the SERP. A well-structured, E-E-A-T-optimized article can leapfrog a competitor ranking in this range faster than it can unseat a position-1 result from a high-DA domain.

Tag for AI citation potential. Keywords that take the form of a question or a definitional query — 'what is X,' 'how does Y work,' 'best Z for SaaS' — are the format most likely to be cited in AI engine responses. Flag these separately and ensure the content written for them follows an answer-first structure with clear factual claims.

Track competitive keywords separately. Keywords that map directly to a competitor's brand or product — 'SpyFu alternative,' '[competitor] pricing,' '[competitor] vs [your product]' — deserve their own content track. These terms signal buyers who are already in evaluation mode and comparing options. The content format is different: comparison pages, not informational guides.

Step 5: Map Keywords to Content Types and Publishing Cadence

Once your filtered keyword list exists, every term needs a content type assignment before it enters production. This step is where most teams lose momentum — the keyword list exists, but no one has decided whether each term needs a landing page, a long-form guide, a comparison article, or a programmatic page variant. The content type decision is driven by SERP analysis: look at the top five results for each keyword and identify what format is dominating. If the SERP shows listicles, write a listicle. If it shows deep guides with FAQ schema, write a deep guide with FAQ schema. According to Ahrefs' SERP analysis methodology, matching content format to dominant SERP intent is one of the highest-leverage ranking signals available to content teams.

  • Long-form guides (1,500–3,000 words): for informational and educational keywords at the top and middle of funnel
  • Comparison and alternative pages: for competitive keywords where buyers are evaluating options
  • Programmatic landing pages: for high-volume keyword clusters with structured data variations (e.g., '[tool] for [industry]')
  • FAQ-optimized posts: for question-format keywords with AI citation potential
  • Case studies and use cases: for bottom-of-funnel keywords with clear buyer intent

Publishing cadence is where scale becomes a structural advantage. A team manually writing and publishing two articles per week will always lose a keyword gap race to a team publishing ten or more per week — not because quality does not matter, but because topical authority compounds with volume. Gofylo's Content Engine ships 30 SEO-optimized articles per month autonomously, generating each piece in under four minutes including schema markup, internal linking, FAQ blocks, and AI-generated images. The 48,000+ articles already produced across active accounts represent topical coverage at a scale that manual workflows structurally cannot match. That is not a pitch — it is a description of the mechanism: when keyword gap analysis surfaces 200 validated opportunities, execution velocity is what determines how many of those opportunities you actually capture.

Note on title tag optimization: even when you rank for a competitor keyword, presentation matters. As reported by Neil Patel Co Founder of NP Digital, Google rewrites 76% of title tags — which means your underlying content and schema structure carry more weight than the tag itself when AI engines decide what to cite.

Execution without tracking is publishing into a void. Once content goes live targeting competitor keywords, you need a measurement layer that covers both traditional SERP positions and AI search citations — because those are now two separate distribution channels with different ranking signals. In Google, track position changes weekly for every keyword you targeted, watch for featured snippet acquisitions (these are the same content structures AI engines prefer to cite), and monitor click-through rate as a signal of title and meta performance. In AI search, the equivalent metric is citation presence — is your brand being mentioned when ChatGPT, Claude, or Perplexity answers a query matching your target keywords? Gofylo's AI Visibility Tracker covers this layer with a single AI Visibility Score, averaging 94 across active accounts, giving teams a benchmark that does not exist in any traditional SEO platform.

  • Set up a keyword tracking project in Semrush or Ahrefs for every new keyword you publish content against
  • Monitor Google Search Console weekly for impressions and position changes on newly published URLs
  • Track featured snippet wins — these are the same content formats AI engines prefer to cite
  • Run monthly AI search audits: manually query ChatGPT, Perplexity, and Claude with your target keywords and log which brands appear
  • Use Gofylo's AI Visibility Tracker to automate AI citation monitoring and catch competitor share-of-voice shifts early
  • Review competitor keyword rankings quarterly to catch emerging gaps — competitors publish new content and capture new rankings continuously

The tracking cadence matters as much as the tools. Weekly SERP checks catch position volatility early and let you respond with on-page optimizations before rankings stabilize in the wrong direction. Monthly AI citation audits are sufficient for most teams given how AI engine indexes update — but if you are in a high-velocity competitive space like SaaS security or developer tooling, bi-weekly checks are worth the extra time. According to Ahrefs' ranking data methodology, fresh content signals — updated dates, new schema, added internal links — are among the most actionable levers for recovering underperforming pages. Build a monthly re-optimization pass into your workflow, not just a quarterly review.

Frequently Asked Questions

How can I check competitor keywords?

The most reliable method is to enter a competitor's domain into a keyword database tool like Semrush, Ahrefs, or SpyFu and pull their organic keyword report. These tools crawl and index SERP data continuously, so the output reflects the keywords a competitor is currently ranking for and their estimated positions. For a free option, Google Search Console shows your own data, and tools like Ubersuggest offer limited competitor lookups — but paid tools give significantly more complete datasets and historical trend data.

How to display competitor analysis?

The most actionable format is a prioritized spreadsheet or content planning board with columns for keyword, competitor ranking position, your current position, search volume, keyword difficulty, intent category, and assigned content type. Visualizing the gap as a matrix — with intent on one axis and difficulty on the other — helps stakeholders quickly see where to invest. Most SEO platforms also offer built-in dashboards that can be exported or shared as reports for leadership review.

Should you bid on competitor keywords?

Bidding on competitor brand keywords in Google Ads is a legitimate and common B2B SaaS tactic, but it comes with trade-offs. Quality Scores tend to be lower on competitor brand terms because your landing page relevance to those terms is inherently weaker, which means higher CPCs. The strongest use case is bidding on competitor terms when you have a clear differentiation angle — a comparison page or a 'best alternative to X' landing page — that matches the search intent of someone researching that competitor. Without that landing page alignment, spend on competitor keywords typically converts poorly.

Can I see competitors' keywords for free?

Yes, partially. Tools like Ubersuggest, Similarweb's free tier, and Google's own Keyword Planner offer some competitor keyword visibility at no cost, but the datasets are limited in depth and freshness. For a genuinely competitive analysis — especially in high-competition categories like SaaS — a paid tool with a full crawled index is worth the investment. Many paid tools including Semrush and Ahrefs offer free trials, which can be enough to run a one-time gap analysis if budget is a hard constraint.

How do I find competitor Google Ads keywords?

SpyFu is the most specialized tool for this: it shows every keyword a domain has ever bought in Google Ads, historical ad copy, and estimated spend. Semrush's Advertising Research tab provides similar data within a single platform. Knowing which keywords a competitor has sustained ad spend on for multiple months is one of the strongest signals that a keyword converts well — and that signal is worth incorporating into both your paid and organic content strategies.

According to Ahrefs (2023), approximately 90.63% of pages get zero organic traffic from Google, largely because they fail to target the keywords that competitors have already validated — making competitor keyword research a critical first step in any SEO strategy.

According to SEMrush (2022), businesses that regularly analyze competitor keywords are 3x more likely to achieve first-page rankings, as leveraging existing search demand data allows marketers to prioritize high-opportunity terms rather than guessing at untested queries.

Ready to turn competitor keyword gaps into published content without building a content team? Gofylo autonomously researches, writes, optimizes, and publishes 30 SEO-and-AI-optimized articles per month — and tracks your AI Visibility Score across ChatGPT, Claude, Perplexity, and Gemini. Start a 3-day free trial at gofylo.com. No credit card required.

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Published by Gofylo

This article was researched and written by Gofylo, the autonomous SEO engine we sell. We publish what the engine writes, the same way our customers do. Gofylo is built and run by Koushi, the founder.

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