StrategyPlaybook

SEO Competitor Analysis: A Six-Gap Method

SEO competitor analysis is the process of identifying the sites you actually compete with in search and AI answers, then measuring where they beat you: the keywords they rank for, the content they have, the links they earn, the search features they win and how often AI assistants name them instead of you. The goal is not a report about competitors. It is a short list of gaps you can close, ranked by value.

This playbook is for marketers and owners who want a repeatable method rather than a tool tour. It works through six gaps in order, with the checks and outputs for each, and ends with a scoring table for prioritizing. If you are starting from scratch, how to do an SEO audit covers your own site first.

On this page

The six gaps build on each other: the competitor list from step 1 feeds every later step, and the AI answer share gap at the end often explains results the classic gaps cannot.

The six gaps of an SEO competitor analysis, in the order to work them Six numbered boxes in two rows. 1, competitor set: who ranks and gets named for your queries. 2, keyword gap: queries they rank for and you do not. 3, content gap: topics and page types they cover and you lack. 4, backlink gap: sites that link to several competitors but not to you. 5, SERP feature gap: snippets, People Also Ask, video, local pack and AI Overview citations they win. 6, AI answer share gap: how often assistants name or cite them versus you. Step 1 feeds all other steps; step 6 is highlighted as the newest and least covered by classic tools. Six gaps, worked in order Step 1 feeds every other step; step 6 is the one classic tools cover least 1. Competitor set who ranks and gets named for your valuable queries 2. Keyword gap queries they rank for and you do not 3. Content gap topics and page types they cover and you lack 4. Backlink gap sites linking to several competitors but not you 5. SERP feature gap snippets, PAA, video, local pack, AI Overview citations 6. AI answer share gap how often assistants name or cite them versus you

Scroll the diagram sideways to see all of it.

Source: Ambeltek diagram.

Step 1: find your real search competitors

Your search competitors are the domains that show up for your valuable queries, and they are often not the companies you think of as rivals. For a local accountant, the sites taking clicks may be a national tax publisher, a government page, a directory and one competing firm. For a software company, they may be review sites and a Wikipedia article.

Two ways to build the list:

  1. Manually, from the results. Take your 20 to 50 most valuable queries, search each one (from the right location if you are local), and tally which domains appear in the top ten. Anything that appears across many queries is a search competitor.
  2. With a tool. Moz describes its True Competitor feature as finding competitors based on the SERPs where your site ranks, with overlap and rivalry scores. Semrush, Ahrefs and SE Ranking offer similar lists.

Split the result into three groups: business competitors (sell what you sell), content competitors (publishers, review sites, forums), and platforms (marketplaces, directories). You compete with all three for clicks, but you respond differently. You can outwrite a business competitor; you usually cannot outrank Reddit, so you aim to be mentioned there instead.

Three kinds of search competitor and how to respond to each Three columns. Business competitors, who sell what you sell: respond by outranking them with better pages, proof and links. Content competitors, such as publishers, review sites and forums: respond by getting mentioned and cited by them, or by publishing something they will reference. Platforms, such as marketplaces and directories: respond by having a strong, accurate presence on them. A note under all three says all of them compete for the same clicks and the same AI citations. Three kinds of search competitor Different competitors need different responses Business competitors sell what you sell Respond: outrank them better pages, proof and links Content competitors publishers, reviews, forums Respond: get cited by them or publish what they will reference Platforms marketplaces, directories Respond: be strong on them accurate, complete, well-reviewed listings All three compete for the same clicks and the same AI citations.

Scroll the diagram sideways to see all of it.

Source: Ambeltek diagram.

Keep the working list to four or five domains for detailed analysis. More than that and every later step becomes a spreadsheet exercise.

Step 2: the keyword gap

The keyword gap is the set of queries your competitors rank for and you do not, filtered down to the ones worth winning. Every major tool has a version. Moz’s keyword gap guide describes comparing your domain with up to three competitors and focusing on keywords where you already rank in the top 20 but a competitor ranks higher, which it calls striking distance.

To turn the export into decisions:

  1. Remove branded terms (theirs and yours) and anything irrelevant to what you sell.
  2. Group by topic and intent, not by individual keyword. Twenty variations of one question are one page, not twenty. The search intent guide explains how to tell the types apart.
  3. Mark each group as “improve an existing page”, “new page” or “ignore”.
  4. Flag striking-distance groups, where you already rank on page two. They are the cheapest wins.

A caution: tool keyword data is an estimate built from each vendor’s own crawl and clickstream samples. Use it to find opportunities, then check your real impressions in Search Console before investing.

Step 3: the content gap

The content gap is broader than the keyword gap: it asks what kinds of pages and depth your competitors have that you lack. Keyword tools find missing queries; they rarely tell you that every ranking competitor has a pricing page, a comparison page and a calculator, and you have none.

For each important topic, open the top three ranking pages and note:

  • Page type: guide, comparison, tool, category page, video, forum thread.
  • Coverage: which sub-questions they answer that you do not.
  • Evidence: original data, examples, screenshots, named authors with credentials.
  • Format: tables, steps, FAQs, diagrams.
  • Freshness: when it was last meaningfully updated.

Then look at the whole site, not just pages. The 2024 leak of Google’s API documentation lists an attribute called QualityAuthorityTopicEmbeddingsVersionedItem.siteFocusScore, described as a number denoting how much a site is focused on one topic. Google stores this attribute; the leak does not show how much it is weighted. A competitor with a tight cluster of pages on one subject may be outranking you on focus rather than on any single page, which is an argument for building out a topic cluster instead of one more standalone post. Background on the leak itself is in the Google leak explained, and the original analysis is iPullRank’s write-up.

The backlink gap is the list of sites that link to several of your competitors but not to you. Those sites have already shown they link to businesses like yours, which makes them the warmest link prospects you will find.

Run a link intersect in your tool of choice, then filter hard:

  • Keep editorial links from real sites: industry publications, associations, local news, resource pages, partners.
  • Drop directories nobody visits, link networks, and anything that looks bought.
  • Note why each site linked: a study, a tool, a sponsorship, a quote, a guest article. The reason tells you what you would need to earn the same link.

Then compare referring domains, not raw link counts, and look at the pages that attract the most links on competitor sites. Often it is one piece of original research or a free tool. That is your content brief, not a link-building list. The tactics that follow are in link building strategies.

Step 5: the SERP feature gap

The SERP feature gap is the set of search features your competitors win for your queries: featured snippets, People Also Ask answers, video results, image results, local packs and citations inside AI Overviews. Google’s visual elements gallery lists the building blocks of a results page, from text results and rich results to image and video results and the related questions group known as People Also Ask.

Look at your priority queries and record, for each, which features appear and who holds them. For example, when we pulled the US results for “seo competitor analysis” through DataForSEO on 22 September 2026, the page opened with an AI Overview, included a People Also Ask box, and three of the first four organic results were tool pages rather than guides. That tells you the query is split between people who want a tool and people who want a method, and that a guide competes for the AI Overview and the PAA box more than for position one. The AI Overview matters for clicks too: in Pew Research Center’s March 2025 browsing study, users who saw an AI summary clicked a traditional result in 8% of visits, against 15% when no summary appeared.

FeatureWhat usually wins itYour response
Featured snippetA direct, well-structured answer near the top of a pageAnswer-first paragraphs, tables, steps
People Also AskConcise answers to related questionsFAQ sections built from real PAA questions
Video resultsYouTube videos with clear titles and chaptersShort videos for how-to queries
Local packBusiness Profiles near the searcherProfile, reviews, citations
AI Overview citationsPages ranking for the fan-out sub-questionsCover the sub-questions clearly

The featured snippets and People Also Ask guides go into each in detail.

Step 6: what is your AI answer share gap?

Your AI answer share gap is the difference between how often AI assistants name or cite your competitors and how often they name or cite you, for the questions your buyers ask. It is the newest gap and the one classic SEO tools cover least, and it can move independently of rankings.

Google says in its documentation on AI features in Search that AI Overviews and AI Mode use query fan-out, issuing multiple related searches across subtopics to build an answer. Other assistants cite sources you might not expect: a Semrush study of 230,000 prompts and over 100 million citations found Reddit and LinkedIn among the top five most-cited domains on ChatGPT, Google AI Mode and Perplexity. So a competitor can win AI answers through a strong Reddit presence or LinkedIn articles while ranking below you on Google. The same study shows how fast this moves: ChatGPT cited Reddit in close to 60% of responses in early August 2025 and around 10% by mid-September, while AI Mode cited LinkedIn in nearly 15% of its responses throughout. A gap measured once is a snapshot, not a verdict.

The gap also compounds. In Ahrefs’ study of 75,000 brands, roughly 26% had zero AI Overview mentions, and brands in the top quarter for web mentions averaged over 10X more AI Overview mentions than the next quarter down.

How to measure the AI answer share gap against competitors A four-step process. 1, write 30 to 60 prompts your buyers ask, grouped into category, comparison, problem and brand-check prompts. 2, run each prompt on ChatGPT, Gemini, Perplexity and Google AI Overviews or AI Mode, more than once. 3, record for each answer which brands are named, which URLs are cited, and whether your description is accurate. 4, compare your share with each competitor's, and trace every competitor win to its cited sources. The output box reads: a list of source sites and page types to target, not just a percentage. Measuring the AI answer share gap The output is a list of sources to win, not just a share figure 1. Prompt set 30 to 60 buyer questions: category, comparison, problem, brand checks 2. Run ChatGPT, Gemini, Perplexity, Google AI features; repeat each prompt 3. Record brands named, URLs cited, and whether you are described correctly 4. Compare your share vs each competitor; trace each of their wins to cited sources Output: source sites and page types to win e.g. a review site, a Reddit thread, a comparison page

Scroll the diagram sideways to see all of it.

Source: Ambeltek diagram based on Google's AI features documentation and the Semrush citation study linked in this article.

The most useful part of this step is the last one: when a competitor is named and you are not, look at what the answer cited. It is usually a page type you lack (a comparison, a pricing page), a third-party list you are missing from, or a forum thread where they are recommended. That tells you exactly what to build or where to earn a mention. The metric itself is explained in share of model, and the source side in how AI engines choose citations.

How do you prioritize what you find?

Prioritize by value, effort and how close you already are. A simple scoring table keeps the discussion honest, because every gap gets judged on the same three questions.

Gap foundValue (1 to 3)Effort (1 to 3, lower is easier)Proximity (1 to 3)Priority score (value × proximity ÷ effort)
Striking-distance keyword group for a core service3139.0
Missing comparison page named in AI answers3223.0
Links from an industry association2124.0
New topic cluster competitors own3311.0

The example rows are illustrative, not benchmarks. Score your own gaps, sort by the last column, and take the top five into the next quarter’s plan. Re-score after each quarter, because closing one gap changes the proximity of others.

Turning SEO competitor analysis into a plan

An SEO competitor analysis is only useful if it ends in a short, ranked plan: the pages to improve, the pages to create, the sites to earn links or mentions from, the SERP features to target, and the AI answers you want to appear in. Run the full six-gap analysis once or twice a year, keep a light monthly check on your tracked competitors and prompt set, and rerun it after major Google updates.

If you would rather have the analysis done for you, including the AI answer share comparison against your named competitors, our AI visibility audit covers all six gaps and turns them into a prioritized fix list.

Frequently asked questions

What is SEO competitor analysis?

SEO competitor analysis is the process of finding the sites that compete with you in search results and comparing what they rank for, what content they have, who links to them, which search features they win and how often AI answers name them. The output is a prioritized list of gaps you can realistically close.

Which tool is best for competitor analysis?

There is no single best tool. Semrush, Ahrefs, Moz, SE Ranking and SpyFu all estimate competitor keywords and backlinks from their own crawls, and their numbers differ. Pick one for keyword and link data, use Google Search Console for your own truth, and add a prompt-tracking method for AI answers, which classic tools cover only partly.

How do you find your real SEO competitors?

Search your most valuable queries and note which domains appear repeatedly in the top results, or use a tool that ranks domains by keyword overlap with yours. Your search competitors often include publishers, directories and marketplaces that are not business competitors at all, and you compete with them for the same clicks.

How do you use competitor keyword analysis for SEO?

Export the keywords your competitors rank for and you do not, remove branded and irrelevant terms, group what remains by intent and topic, and map each group to an existing page or a new one. Prioritize groups where you already rank on page two, because they are closest to paying off.

How often should you do an SEO competitor analysis?

A full analysis once or twice a year, and a light monthly check on a few tracked competitors and your AI prompt set. Rerun the full analysis after a major Google update or when a new competitor starts appearing in your key results.

Can you see which competitors AI assistants recommend?

Yes, by running the questions your buyers ask through ChatGPT, Gemini, Perplexity and Google's AI features and recording which brands are named and which pages are cited. Done on a fixed prompt set each month, it becomes a share-of-answer comparison you can track like rankings.

OK

Olga Kunger

Founder & Lead Strategist, Ambeltek

Olga leads Ambeltek's web development, AI SEO, and GEO work — helping brands rank on Google and get cited by AI engines. More about Olga →

Want this done for your site?

AI SEO programs that rank on Google and earn AI citations. Growth tier from $9k, fixed scope before work starts.