Most founders, marketers, and agency owners discover the hard way that intuition is not a strategy. A competitive matrix forces your hunches into a grid: who you are up against, which features matter, how pricing compares, and where your story lands. When it lives in Google Sheets or Excel, the whole team can poke at assumptions, add field notes, and turn scattered research into one shared, visual snapshot of the market.The catch is that the market never sits still. Delegating the grunt work of data gathering and updating to an AI computer agent means your matrix does not go stale between planning cycles. The agent can open sites, capture metrics, log them into your spreadsheet, and run on a schedule while you focus on interpretation, positioning, and the moves only humans can make.
If you have ever hacked together a competitor spreadsheet at midnight before a pitch, you already know the value of a competitive matrix. The real challenge is keeping it useful once the meeting ends. Here is how to build one manually in Google Sheets and Excel, then scale it with an AI computer agent so you are not stuck copy pasting forever.
If your team lives in Excel or you want heavier analysis, mirror the same layout:
Sheets is brilliant for collaboration; Excel shines when you need deeper analysis, pivot tables, or offline work.
Manual matrices are fine when you have a handful of competitors and update them quarterly. They break when:
You end up redoing the same clicks in your browser and spreadsheets over and over again.
This is where an AI computer agent like Simular comes in. Instead of just helping you write text, it behaves like a focused teammate at your computer:
You design the playbook once, then let the agent execute it on demand or on a schedule.
Manual (Sheets and Excel only)
AI assisted with a computer agent
The sweet spot is using Google Sheets and Excel as your shared source of truth, while a trustworthy AI computer agent handles the repetitive research and data entry. You stay in the role you are best at: interpreting the grid and deciding your next move.
Start from your buyers perspective. List 10–15 factors they actually compare: price, feature depth, integrations, support, social proof, and brand trust. In Google Sheets, make each factor a column, then add a short definition so teammates score it the same way. If everything feels important, force trade offs by limiting yourself to the top 8–10 metrics that truly move deals.
Create a new sheet with a 2x2 grid: Strengths, Weaknesses, Opportunities, Threats. Use merged cells so each quadrant has room for bullets. Pull insights from your main competitive matrix: high scores flow into Strengths, low scores into Weaknesses, white space in the market into Opportunities, and areas where rivals dominate into Threats. Use colours and bold text so patterns jump out for stakeholders.
Match your cadence to how fast your market moves. For stable B2B spaces, monthly might be enough. In fast moving SaaS or ecommerce, aim for weekly or even automated daily refreshes. At minimum, update before big launches, pricing changes, and sales kickoffs. Use filters in Sheets to add a Last Updated column so you can quickly see which competitors or segments are going stale.
Create a summary tab that translates your dense matrix into simple visuals. Try a scatter plot with price on one axis and feature score on the other, or a radar chart comparing you vs a key rival. Add a few prebuilt views for common segments or deal types. Then link to those charts from your sales battlecards so reps see an immediate, story ready picture instead of raw numbers.
Set up an AI computer agent to open your competitor list, visit each website, and capture defined data points like pricing tiers, feature checklists, or review counts. Have it paste values into the right Excel cells and log any changes it detects. Run this workflow on a schedule, then quickly review its change log before key planning sessions so you always walk in with a current, trusted view of the field.