AI for competitor analysis: what works and what is hype

AI does not uncover competitor data that did not exist before. What it does is read in minutes what used to take days. That is the real difference, and it is enormous, but it is worth understanding before paying for a subscription.

The data still comes from where it always did: search engines, public social profiles, online shops, company registries. What changed is that you no longer have to open thirty tabs and assemble a spreadsheet by hand.

Which part of competitor analysis genuinely improves with AI?

Task	What AI adds	How much it helps
Reading and summarising a rival’s content	Synthesises dozens of pages and tells you what they cover and what they skip	A lot
Spotting content gaps	Cross-references their coverage against yours	A lot
Interpreting SEO tool exports	Turns a 3,000-row export into three conclusions	A lot
Analysing tone and positioning	Compares how several brands present themselves	Quite a bit
Price monitoring	Needs a scraper, not a language model	Little
Search volume and link data	Comes from databases, not from AI	None

The most expensive confusion I see is that last row: people ask a language model for search volumes or backlink counts. A language model does not have that data and, if you insist, it invents it. Those numbers come from tools with their own panels.

Which tools do I use?

I split them into two groups, because they do different jobs.

To get the data: the usual ones. SEMrush and Ahrefs for rankings, links and keywords. Similarweb for size and traffic sources. The Meta ad library, which is public and free, to see exactly what your competitors are running and since when. That last one is the most underrated of them all.

To interpret it: Claude, which is what I work with. I hand it the tool export or the competitor’s page text and ask for the analysis. The difference between a useless summary and a useful one is in the brief, not the model.

In Colombia there are also two public sources almost nobody uses: RUES to verify a company’s size and activity, and Supersociedades’ SIIS, which holds the financial statements of reporting companies. If your competitor is a formally registered company, its revenue is right there.

How do you set this up without it becoming a permanent project?

What I do with a new client, in this order:

1. Decide who to watch. Three real competitors, not ten. Real means they take customers from you, not that they look like you.
2. Decide what gets watched. Price, content, advertising or rankings. Not all at once.
3. Pull the data. Once, by hand, to understand what is there.
4. Run it through the model with a specific brief. Not “analyse this”, but “tell me which three topics they cover that we do not, and which has the highest buying intent”.
5. Repeat monthly. If it takes more than an hour, the process is badly designed and will be abandoned.

Step four is where you win or lose. A vague brief produces a generic summary that changes no decision.

What can it not do, however hard you ask?

• Guess private data. Margins, acquisition cost, competitor conversion rates. They are not published and no model knows them.
• Give you exact traffic figures. Similarweb and its peers estimate. Useful for comparison, not as truth to quote.
• Tell you why it works for them. It tells you what they do. The why requires judgement and knowledge of the market.
• Replace looking at the product. Buying from your competitor and going through their sales process remains the most revealing analysis there is, and no AI replaces it.

What is the most common mistake?

Confusing having the data with having the decision.

I have seen beautiful dashboards, updated daily, that nobody acts on. Competitor analysis works when it ends in one of three sentences: we are going to attack this gap, we are going to stop competing here, or we are going to change this price. If the monthly report does not end in something like that, it is expensive entertainment.

Frequently asked questions

Which AI tools work for analysing competitors? Separate two things. To get the data: SEMrush, Ahrefs, Similarweb and the Meta ad library, which is free. To interpret it: a language model such as Claude or ChatGPT, fed with that data.

Can AI tell me how much traffic my competitor gets? A language model cannot, and if you ask it will invent a number. Traffic estimates come from tools with their own data panels, and they are useful approximations for comparison, not exact figures.

Does this work for small businesses or only large ones? More for small ones, because it lets one person do what used to require a team. The Meta ad library and RUES are free and already give you a lot.

How often should I review competitors? Monthly for content and rankings. Weekly if you compete on price. Daily only if you sell something whose price changes every day.

Is it legal to analyse competitors this way? Yes, using public information: their pages, their published ads, their list prices and company registries. It stops being legal when it involves personal data, access you are not entitled to, or impersonation.

How many competitors should I monitor? Three. With more, the analysis dilutes and stops being acted on. And make them real competitors, the ones taking your customers, not the ones who merely resemble you.

Which Colombian public sources are useful? RUES to verify existence, size and activity, and Supersociedades’ SIIS for the financial statements of reporting companies. Both free and almost nobody uses them.