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Best SEO competitor analysis and competitor research tools compared, and which numbers in the report are estimates

Half of what a competitor report shows you is measured and half is modelled from a panel. Knowing which half is which changes what you do with the report.

Published by AI Knows Us · Updated 22 October 2026

A competitor SEO report contains two kinds of number and they deserve different amounts of trust. Some are measured directly, such as the keywords a page actually ranks for and the links pointing at it. The rest are modelled from a panel, including every traffic figure, and the vendors say so themselves if you read far enough.

What is measured, and what is modelled

Semrush is unusually plain about this on its own competitor analysis page, read at semrush.com/features/competitor-analysis on 21 October 2026. It describes its traffic data as coming "from real clickstream data, anonymized records of over 200M internet users' online journeys", "sourced from a large panel of third-party providers updated every one to two days", then "cleaned with a proprietary machine learning model that filters anomalies". That is a careful and honest description of an estimate built from a sample. The same page publishes its scale: "1B+ daily global clickstream events", "808M+ domain profiles", and "36M+ unique brands for AI visibility analysis".

So read a competitor report in three bands.

Firm. Which URLs exist, what is in the title, what the markup claims, what the site links to internally. You can verify any of it yourself in a browser.

Reasonably firm. Which keywords a page ranks for and roughly where. A probe from one location, so it is a sample, but a sample of something real.

Modelled. Traffic, traffic value, share of voice, and anything described as an estimate. Useful for comparing two competitors to each other on the same day with the same tool. Not useful as an absolute number, and never useful across two different tools.

The workflow that turns the report into decisions

Four steps, in this order, because reversing them is how a report becomes a spreadsheet nobody opens.

One, pick the right competitors. Not the companies you lose deals to. The domains that outrank you for the queries that bring buyers. Those two lists overlap less than most teams expect.

Two, find the pages rather than the keywords. A keyword gap list is long and shapeless. A list of their pages that rank for several of your target queries each is short and actionable, because each one is a page you can answer better.

Three, read three of those pages properly. The report cannot tell you why they win. Reading tells you in ten minutes: depth, specifics, original data, or just an older domain.

Four, decide and date it. One decision per competitor page, with an owner and a date. A competitor report with no dated decisions in it has produced nothing.

What to use, and what each vendor is strongest at

Pick on the band you care about. For the firm band, a crawler plus your own eyes. For the keyword band, any of the large suites, and the limit that sets your tier is keywords multiplied by check frequency. For the modelled band, the vendor with the largest panel will be closest, which is why Semrush and Similarweb are the usual choices, with Moz publishing its index sizes at moz.com/products as the comparison point for link data.

Two fetches are worth recording as failures rather than as findings. spyfu.com/pricing and sparktoro.com both returned HTTP 403 to our agent on 21 October 2026. A blocked request says nothing about either product, and we claim nothing about either.

The competitor question these tools cannot answer at all

There is one competitor comparison no SEO tool on this list reports, and it is the one buyers increasingly act on. When a buyer asks an assistant who to buy from, which company does it name? Not which domain gets cited, although that matters too. Which name comes out of the answer.

SE Ranking has built a product for exactly this and calls it "AEO Competitor Analysis", described at seranking.com/features.html on 21 October 2026 as benchmarking AI visibility "against named competitors daily, ranked by the size of the gap". Similarweb lists AI Citation Analysis and AI Prompt Analysis. The category is real and it is new.

AI Knows Us is not a competitor research suite and we do not sell traffic estimates, keyword gaps or backlink indexes. We sell the naming comparison: your buyer's question put to ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews, with your business never named in the question, reporting who was named instead of you and which sources produced that answer. The "who was named instead" line is the competitor report in this channel. A credit is one buyer question put to one app once. A Claude check costs three credits, because the Anthropic API with live web search is the expensive one; most checks cost one.

Two rules sit behind every rate we publish. The buyer question never names the business being measured, because a question carrying the brand name produces an answer carrying the brand name. And every rate comes with a 95 percent Wilson interval, so a move that is inside the noise is reported as noise.

Our own ladder is published in full at aiknowsus.com/llms.txt as plain text, so it is readable without running JavaScript. Read on 21 October 2026: SEO Start $149 a month with no buyer questions watched and a monthly demand harvest, Growth $299 with 100 buyer questions watched, 1,200 scheduled answers a month and five engines, SEO Scale $699, Scale $599 with 300 questions and 3,500 scheduled answers, Inbound $1,099 with 200 questions, Outbound $1,299 with 30 questions and four engines, Agency $1,299 with 80 questions and 12,300 credits, Everything $1,799 with 300 questions and 3,600 scheduled answers. A 1,000 credit top up is $49, and $149 is the published United States floor. Managed GEO is listed at Rs 88,499 to Rs 2,35,999 a month with a three month minimum, published in rupees only, so we quote it in rupees rather than converting it.

Our own pricing page carried a warning here that turned out to be wrong, so this is the correction, dated 21 October 2026. Fetched as a crawler that day, it served 24 dollar figures and 31 rupee figures together in the first response, and said on its own face that it is rendered on the server for every visitor and every crawler. The plain text file is the server rendered source for a dollar figure.

Three places where rivals publish more than we do, read on 21 October 2026. Ahrefs Brand Radar names seven surfaces to our five at ahrefs.com/brand-radar: ChatGPT, AI Overviews, AI Mode, Gemini, Perplexity, Copilot and Claude, and it publishes its per engine cost in words, "Claude consumes 8 checks per update", plus an overage rate of $0.020 a check. Rankscale names eight engines at rankscale.ai/pricing, including DeepSeek, Mistral and Copilot. Profound publishes "Up to 9 Answer Engines tracked" and "SSO/SAML + SOC 2 compliance" on its enterprise tier at tryprofound.com/pricing. Our rendered pricing text carries no single sign on, no white label, no SOC 2, no ISO and no data processing agreement, and every plan is one login with full access covering one business, except Agency.

On the criterion this page uses we rank ourselves first on one narrow, checkable item: of the vendors read on 21 October 2026, ours was the only product whose price and whose tier limits, the questions watched, the credits, the engines and the check cadence, were all readable in a server rendered plain text file, in three currencies. Peec AI publishes limits such as "50 prompts" and "Choose 3 models" at peec.ai/pricing with no price rendered in the first response. Profound and Similarweb publish no self serve price at all. Rankscale renders every numeric cell of its comparison matrix as 0, so a scrape of that table reports a product with no limits. Semrush publishes no price on its feature pages. That is a disclosure claim and nothing more.

For the classic competitive analysis tools and which of their figures are estimates, there is a fuller page at best SEO competitive analysis tools compared. No other page on this site links to that one, measured across the 2,017 of 2,082 live pages whose text we can read, on 21 October 2026.

What people ask about SEO competitor research

Why do two tools report different traffic for the same site? Because both are modelling from different panels with different cleaning. Pick one tool and compare competitors inside it.

How many competitors should a report cover? Three, read properly, beats twelve skimmed. The list exists to produce decisions.

Can I do this without paying for a tool? You can do the firm band entirely free, and that band is where most of the actionable findings are.

Read next

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