Use your open Chrome tabs to sharpen your marketing message

Observe the page before judging the strategy

Separate what the page literally says from your interpretation. A prominent testimonial is an observable element. Whether that testimonial improves conversion is unknown without performance evidence. Ask for short paraphrases and source links, then use the comparison to identify a customer question your own page could answer more clearly.

Before you begin: connect the browser you actually mean

OpenAI documents a browser extension that can use open tabs and provide side chat. In the desktop setup, open Settings → Computer Use, choose your browser, and follow its installation flow. That route points you to the appropriate extension. Use the profile where you installed it. Availability and controls depend on your account, app version, and workspace settings.

This guide uses a public-page practice task. The cover is AI-generated editorial imagery; the five step graphics are conceptual illustrations, not screenshots of an actual ChatGPT session. Allow about 20 minutes for a first attempt; that is a suggested practice time, not a measured result.

Step 1 — Open side chat beside one public page

Open one of your sources and select ChatGPT from the browser toolbar or Extensions menu. Use the tab mention or page-context control your version provides. Begin in Chat for reading where available. If the panel cannot see the page, confirm the correct profile and connection before continuing.

Read only the page I selected. Tell me its title and URL, what information you can actually access, and anything you cannot verify. Do not change the page.

Step 2 — Name the three tabs and the decision

Open three public competitor landing pages. Select or mention each tab explicitly. Replace the placeholders in this prompt with the actual page titles or URLs. A list of links is not proof that ChatGPT has read every page; ask it to identify any failed or partial reads.

Use only these three tabs: [title and URL 1], [title and URL 2], [title and URL 3]. My task: Review three public competitor landing pages for a small service business. Compare audience, promise, proof, offer scope, and primary call to action. Identify one message to test on our own page. Create a comparison with one row per option, the source URL for each important claim, and a separate column for missing information. Use “not verified” when a page does not establish a detail. Do not start trials, buy, register, or send messages.

Step 3 — Check the answer against the original pages

Open the source behind each decision-changing claim. Separate a visible statement from AI’s interpretation. For prices, check currency, billing period, paid-seat count, minimum seats, required add-ons, and any tax or fee exclusions. For events, check date, time zone, venue, and registration status. Do not convert a blank field into a favorable assumption.

Audit your comparison against the three source pages. For each important claim, show the supporting page and explain the calculation or inference. Mark contradictions and missing details. List what I must confirm before making the decision.

Worked example: the clearest opportunity is a missing answer

Illustrative scenario. The sample pages below are invented to demonstrate the reasoning, not a report of a completed browser test.

Example decision note: Our page could make the handoff clearer: name the deliverable, explain who implements it, and show the next step. This is a proposed message direction, not evidence that any competitor converts poorly.

Ask: “Which question would a cautious buyer still have after reading each page?” Use the answer to improve your own explanation. Avoid copying competitors’ wording or treating a lack of visible proof as proof that a service fails.

Step 4 — Review the tab list, then group only those tabs

If browser actions and tab grouping are available in Work, select that mode and name Chrome explicitly. Reading pages and changing the browser are separate tasks. First ask for a preview of the three tab titles and URLs. After you check the list, request the grouping action below. Inspect the actual Chrome group afterward.

In Chrome, show me the exact three tab titles and URLs you would group as “Messaging research”. Do not change the browser yet.

Group only those three reviewed tabs as “Messaging research”. Leave the other tabs where they are. Do not close pages, navigate to checkout, register, or send anything. Report the group name and the tabs actually included.

If grouping is unavailable, create the group manually in Chrome and keep the comparison. A useful research result does not depend on this optional action. If the extension fails to connect, use OpenAI’s linked troubleshooting guidance; do not grant wider access just to complete a practice exercise.

Step 5 — Finish with a recommendation and one open question

Write a decision note under 150 words: the goal, the best-supported next step, the source links, the main tradeoff, and one unanswered question that could change the recommendation. Distinguish facts, calculations, and your judgment. If the evidence is insufficient, recommend the next check instead of choosing a winner.

Turn the recommendation into one testable hypothesis: making the deliverable clearer will improve the quality of inquiries. Change one meaningful part of the message, record the starting version and date, and review both inquiry quality and conversion using your own measurement. The competitor review cannot tell you which rival has the best-performing page.

Try the same method on a single article

Select the article tab and ask for a short evidence review. This is useful when a headline makes a broad promise but the body describes a narrow example.

What is the main claim in this article? What evidence does the author present? Which statements are interpretation, which details remain unresolved, and what original source would I need to inspect before relying on the claim? Include the article URL.

Your finished-work checklist

• The comparison uses the three sources you selected.
• Decision-changing claims link back to an accessible page.
• Costs and dates use the correct assumptions.
• Missing information remains visible.
• The actual tab group matches the reviewed list, if grouping was used.
• The final note names a next step and one question.

Save the note with the date checked. When a price, policy, or event changes, revisit the original page before reusing the recommendation.

Put this into practice

Connect the research to one marketing task, a clear review step, and the customer response you want to understand.

Plan your AI marketing workflow →