Seasonal Behavior Analysis
A brand-specific season curve from past demand, traffic and sales data. We place budget before demand rises.
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AI-assisted analysis
AI-Assisted Competitor Analysis: Weekly Search, Price and Campaign Monitoring
We don't treat competitor analysis as a slide deck you get once a year. We run it as weekly monitoring: which searches competitors show up in, when they change prices and when they launch campaigns. OpenAI and Claude models scan this data against a fixed set of questions, and our team reviews and prioritizes every opportunity before it reaches your plan.
Purpose and appearance
What do we use this service for?
Competitor analysis tells us which searches you're missing from, where you have a price advantage and which periods competitors leave open. Those findings go into the 90-day plan as search and price-driven advertising decisions. The aim is to stay ahead of competitor moves and to know where it's worth competing, without getting dragged into a price war.
Funnel stages it serves
- Awareness
- Consideration
- Conversion
- Loyalty
Which competitor data do we track, and how accurate is it?
Your own search data comes from Search Console. We monitor competitors' organic and paid keyword visibility in Semrush and Ahrefs; in Ahrefs we also run a keyword gap analysis (keywords competitors rank for and you don't) and watch new links in their backlink profiles. Google Ads auction insights show who you meet in the same auctions, your impression share and how often a competitor appears above you. For e-commerce in Türkiye, we use the country's leading price comparison sites to follow the price and stock status of the same product at each competitor.
Semrush and Ahrefs traffic figures are estimates, and the two tools often disagree. We read them for direction and change: a competitor's estimated traffic rising three months in a row says more than the number itself. No source containing personal data enters this workflow; the models only see aggregated data.
The weekly questions behind our competitive intelligence
Once the data is combined in your BigQuery project, we don't give the models an open prompt like 'analyze the competitors'. We ask the same specific questions every week, so findings can be compared week to week. We define the question set together in the first month based on your category and goals, and change it only when needed.
- In which searches do at least two competitors appear on page one while we don't?
- Which competitor cut prices by more than 10 percent in which category over the last four weeks?
- Whose position above rate is rising fastest against us, and in which campaign?
- Should we raise ad spend on products that competitors show as out of stock?
- Which competitor gained new links on which topic last month, and do we have content on it?
From competitor insight to action: the 90-day plan
Every critical finding is checked by a second model; if the two disagree, our team goes back to the source and verifies it by hand. An approved finding becomes an opportunity card stating its data source, estimated impact, implementation difficulty and owning channel. A finding without a traceable source doesn't become a card.
Cards are ranked by impact and difficulty and added to the 90-day plan. Search visibility gaps go to keyword strategy or Search Campaigns, products with a price advantage get more ad budget and competitors' campaign periods go into the seasonal calendar. We set the test order with ICE scoring, and the impact of each card is checked again in the following weeks' scans.
Competitor Analysis: when do we recommend it?
We recommend it
- E-commerce categories where several sites sell the same product and price drives the decision
- Brands competing with rivals for the same keywords in organic and paid search
- Teams that get caught off guard by competitors' campaign periods and react after the fact
We don't recommend it
- Niche B2B services with very low search volume that aren't listed on price comparison sites; a narrower, manual analysis is enough here
- Brands that want to answer every competitor move with a price change each week; the purpose of the analysis is to find where it's worth competing
How we manage Competitor Analysis
- Defining the competitor listThe brands you consider competitors and the sites you actually meet in search are often different; we put both on the list.
- Product matchingFor price tracking, we match your products with their listings on price comparison sites and remove incorrect matches manually.
- Combining in BigQueryWe bring search, auction, link and price data into a single table with the same date and category definitions.
- Weekly model scanWe run the fixed question set, compare the output of both models and flag findings that don't match.
- Opportunity card and sign-offOur team approves and prioritizes the cards and adds them to the weekly growth note.
Competitor Analysis: metrics and requirements
Metrics we track
- Competitor impression share
- Position above rate
- Price gap (%)
- Keyword gap
- New links acquired
- Share of opportunity cards implemented
What you need to get started
- Access to Search Console and Google Ads
- Product list and SKU data for price tracking
- A list of the brands you see as competitors
- A BigQuery project to hold the data
Official sources
The Brand Move Data and AI Team
Contact us nowTo learn more about Competitor Analysis or other AI-assisted analysis services, contact The Brand Move Data and AI team today.
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ExploreFrequently asked questions
Competitor Analysis: frequently asked questions
What does a competitor analysis include?
Our analysis covers competitors' organic and paid search visibility, keyword gaps, new backlinks, auction insights from Google Ads and, for e-commerce, price and stock changes on the same products. The output is a prioritized list of opportunity cards, not a static report.
How often should you analyze competitors?
We monitor every week and run a deeper review every quarter, when we also update the competitor list with you. Weekly monitoring is what lets you react to a price cut or campaign launch while it still matters.
Can you see competitors' actual sales and traffic?
No, nobody has that data. Semrush and Ahrefs figures are estimates, and auction insights only show relative position in shared auctions. We use these as signals of a competitor's direction. On your side, we work with real data from Search Console and GA4.
Do you turn price data into pricing recommendations?
Pricing decisions stay with you. We turn price gaps into advertising decisions: more visibility for products where you're clearly cheaper, and ad messages built on shipping, returns or warranty for products where you're more expensive.
How many competitors can you monitor?
In search, usually the sites you meet most often in auctions plus the brands you care about. On price, every site selling the same product can be tracked. The real limit is the expert time needed to review findings, not model capacity.
Let's run a first Competitor Analysis review together.
In a free call we look at your competitors and seasonal data together and show you, with a concrete example, what AI-assisted analysis can deliver first.
Book a growth call
No sales pressure. Just findings.