How to Use AI to Compare Information Across Multiple Browser Tabs
Stop switching tabs manually to cross-check prices, policies, or claims — an AI browser assistant can read the pages you have visited and surface the differences in a single answer.
Key takeaways
- AI browser assistants with page-reading access can compare data across multiple pages without requiring you to copy anything.
- Tab-by-tab context builds up as you visit each page — the AI accumulates what it has seen during the session.
- Comparison prompts work best when they are specific: name the pages and the exact attribute you want compared.
- For live data like prices or stock levels, always verify the AI's comparison against the current page before acting.
On this page
Comparing two products, two services, or two articles almost always means opening several tabs and trying to hold a mental model of each while you jump between them. It works, technically. But it is slow and error-prone — details slip between tab switches, and the mental overhead compounds as you add more items.
An AI assistant that can read the pages you have open changes the equation. Instead of manually transferring information between tabs, you describe what you want compared and get a structured answer.
What makes tab comparison hard
Before reaching for AI, it helps to understand where most of the effort goes:
- Extracting the relevant data from each page — prices, specs, policies, dates, whatever the comparison hinges on.
- Holding it in memory long enough to place it side by side.
- Synthesising the differences into a useful judgment or summary.
Steps 1 and 2 are where most people struggle. Dense product pages bury the specification table below marketing copy. Return policies live in help-centre subpages that require three clicks to find. AI assistants with page-reading access handle extraction automatically, so you can focus on step 3.
How a browser AI reads multiple tabs
An AI browser assistant doesn’t see all your open tabs simultaneously by default — it reads the page you’re currently on, building up context over the session as you navigate. If you visit a product page and ask a question, it reads that page. If you then open a competing product and ask for a comparison, it now has both pages in context.
The practical implication: the order you visit pages matters more than the total number of tabs you have open. Visit the pages you want to compare, check in with Browsy on each, then ask for the comparison. Don’t jump straight to the comparison prompt without having first been on each page.
Prompts that work well for comparison
Generic prompts produce generic answers. Prompts that name the source pages and the exact attribute you care about produce useful ones.
Pricing comparison:
“What does each of the last three laptop pages I visited charge for the base model? List them from cheapest to most expensive.”
Policy comparison:
“The two SaaS pricing pages I looked at today — compare their refund policies. Which is more favourable to the customer, and why?”
Feature comparison:
“I visited two noise-cancelling headphone pages. Which mentions a longer battery life, and by how much?”
Claim verification:
“The news article I just read says the study found X. Does the original study page I opened earlier actually support that claim?”
The common thread: name the domain, name the attribute, ask for a direct comparison rather than a summary of each page separately.
Where AI comparison is especially useful
Some tasks benefit disproportionately from AI-assisted tab comparison:
Long-form documents. Terms of service, privacy policies, and return policies are long, written to be comprehensive rather than readable, and deliberately buried in secondary pages. Asking an AI to compare two policies on specific dimensions — data retention periods, arbitration clauses, auto-renewal terms — takes seconds instead of minutes.
Specification tables across competing products. Product pages list specs in different orders, use different terminology for the same attribute, and sometimes hide key numbers in footnotes. AI can normalise across those inconsistencies and give you a side-by-side answer in plain language.
Multiple articles covering the same event. If you’ve opened several news articles about the same story and want to know where they disagree, AI can surface the discrepancies faster than reading all of them again.
What to watch out for
AI page-reading has real limits in comparison tasks:
Live data. Prices, stock levels, and exchange rates change. If you ask about pricing from pages you visited thirty minutes ago, the numbers may already be out of date. For purchasing or financial decisions, verify against the live page.
Pages behind a login. Comparisons that require visiting authenticated pages may not work if the assistant cannot access your session.
Sparse pages. If a page doesn’t contain the information you asked about — for example, a spec page that doesn’t list battery life — AI will sometimes extrapolate rather than report a gap. If a comparison result surprises you, check the source page directly.
Using Browsy for tab comparison
Browsy reads the text of the page you’re on when you interact with it. As you navigate between pages in a session, it accumulates context from each. To compare:
- Visit each page you want compared — no need to keep them all in the foreground simultaneously.
- Open Browsy’s sidebar on any page and ask your comparison question.
- Be explicit: name what you want compared and from which pages.
Because your API key and session data stay on your device — nothing routes through Browsy’s servers — comparisons involving sensitive pages remain private by architecture.
Comparison is one of the most common cognitive tasks on the web, and one of the most friction-heavy without AI help. The key is specific prompts that name the source and the attribute — “compare X across the last two pages I visited” rather than “compare these.” That specificity is what turns a generic AI response into a genuinely useful one.