AI search and discovery.
Where is AI taking marketing and media buying?
Expect more of the buying journey to happen inside answers and more campaign decisions to happen inside ad platforms. The decisions you can prepare for now are how people find your offer, what your campaigns optimize for, and how you tell whether it worked.
Over the next 30 days, publish a clear answer to one question customers ask before buying, audit one conversion signal, and run one controlled AI test. Review what changed at your next budget meeting.
How can customers find my business in ChatGPT, Claude, and Google AI?
Start with public pages that answer the questions buyers ask before choosing a vendor. Check that those pages are crawlable and make the offer, pricing approach, locations, and evidence easy to find.
OpenAI documents OAI-SearchBot for ChatGPT search. Anthropic documents Claude-SearchBot for improving web search. Google says its usual search fundamentals apply to AI Overviews and AI Mode. A crawlable page is eligible to be found, but visibility varies by query.
Do I need to change my SEO strategy for AI search?
Keep the basics in place and expand the questions your website answers. Give buyers a useful page for comparisons, pricing, use cases, requirements, and the markets you serve.
Google says there is no separate markup requirement for its AI search features. Make important information available as text, link to it from relevant pages, and give claims enough detail for a reader to verify them.
How do I know if AI search is bringing customers?
Track measurable AI referrals and the conversions they lead to. Add an optional “How did you hear about us?” question to capture some of the journeys that arrive without a detectable referral.
Google reports AI Overviews and AI Mode within overall Web search performance in Search Console. Keep observed visits and self-reported discovery separate, and avoid assigning unattributed traffic to AI.
AI in advertising.
Can I advertise in ChatGPT, Google AI Mode, or Claude?
Check the buying options separately. OpenAI publishes where its ChatGPT Ads Manager is available. Google has announced tests for ad formats in AI Mode. Anthropic has said it wants Claude conversations to stay ad-free.
Where you can buy a placement, judge the test on qualified outcomes and cost. OpenAI says paid placements do not influence ChatGPT’s answers.
Should I turn on Google Ads AI Max?
Test it on one campaign with reliable conversion tracking and a baseline you trust. AI Max can expand search matching and automate parts of ad text and landing page selection, depending on the settings you enable.
Set brand, location, and landing page limits where available. Compare search terms, spend, and cost per qualified lead after sales has had time to review the leads.
Should I use AI-generated creative in my ads?
Use it to explore ideas and make variations when you can verify the claims, product details, and brand fit. Test one change at a time against a version that already works.
Keep a person responsible for approving product visuals, testimonials, and claims before ads go live. Compare creative using the outcome you care about, such as qualified leads or sales.
Should I let Meta Advantage+ choose my audience and placements?
Test more automated delivery where you have a clear conversion goal, usable creative, and enough data to judge results. Keep any controls that matter to your business, such as eligible markets or brand safety.
Check what your account and campaign objective allow. Compare accepted leads or sales alongside cost, and look at placement performance in context. An inexpensive form fill can still be expensive for sales to follow up.
Budgets, lead quality, and ROI.
Can AI optimize my ads for qualified leads or actual sales?
Yes, where the platform supports it and you send a reliable downstream conversion signal. Define a qualified lead with sales, then verify that the CRM stage is reaching the ad platform and is eligible for the campaign’s optimization goal.
Review event volume, delays, and duplicates before changing what a campaign bids toward. Keep form submissions visible so you can see whether a change improves quality, reduces volume, or both.
How much should I spend testing AI in marketing?
Set a test budget using your normal cost per qualified lead and the number of outcomes you need to make a decision. A capped test on one campaign is usually easier to read than changes across the whole account.
Agree on a baseline, a stop condition, and how long sales needs to review results. Keep the conversion goal and market stable while you test the change.
How do I prove that AI improved marketing ROI?
Compare the same business result before and after the change, ideally against a control. Use cost per qualified lead or pipeline for lead generation, and contribution profit for sales campaigns.
Track time saved separately from media performance. A faster report is an efficiency gain. A campaign improvement needs evidence that more of the right outcomes came from the spend.
Using AI on the marketing team.
What should my team automate with ChatGPT or Claude first?
Start with repeatable work that someone can check quickly. Sort search terms by intent, turn research into a creative brief, or draft a summary from an approved campaign export.
Give the assistant a clear task, example output, and criteria for flagging uncertainty. Compare the result with your usual process before connecting it to live systems.
Should my marketing team use ChatGPT, Claude, or Gemini?
Choose by the work you need done and the data your team is allowed to share. Test the same task in the tools your company has approved and compare how much checking and rewriting each output needs.
Use a real task, such as summarizing a redacted campaign report. Score factual accuracy, whether the tool shows its sources, time to a usable draft, and how easily the result fits your team’s process.
Can my team put campaign or CRM data into ChatGPT or Claude?
Use the company-approved workspace and check its data settings and policies first. For most campaign analysis, aggregated or anonymized data is enough.
Remove customer identifiers, credentials, and other unnecessary details. Confirm who can access the workspace or connector before sharing business data.
What decisions should I keep under human control?
Keep a named owner for spending limits, changes to live campaigns, conversion goals, and claims made in ads. AI can surface options and exceptions, then a person can approve the next step.
Keep a short record of what changed, why, and how you’ll reverse it if results drop. That makes it easier to tell which change helped when several systems are updating at once.
Looking for platform changes that could affect your next decision?
Read The Paid Signal