Does SEO still work with AI search? What changed and what still gets clicks

If you have read a "SEO is dead" headline this year, you have probably also read a Reddit post from someone whose search traffic doubled. Both are real. The question is not whether SEO works anymore, it is which searches still send people to websites and whether your business depends on those.

Here is the short version. AI Overviews in Google and answers in ChatGPT now handle a big share of simple questions without a click. Searches where someone needs to hire, buy, compare or download still lead to websites. And the AI tools mostly build their answers from pages that already rank, so the basics of SEO matter more, not less.

This guide walks through what the data says, who lost and who did not, and what to do with your own site this month.

Does SEO still work with AI search?

Yes, but the reward is now uneven. SEO still gets pages found, indexed and used as sources, and Google says its AI features run on the same ranking systems as normal results. What changed is that ranking first for a simple question no longer guarantees a visit.

Two terms worth defining:

• AI Overview: the AI written summary Google shows above the normal results for many searches. AI Mode is the chat style version.
• Zero click search: a search that ends without the person visiting any website, because the answer was on the results page.

SEO in 2026 means earning two things: a ranked link people still click, and a place among the sources an AI answer is built from.

What actually changed with AI Overviews and ChatGPT search?

The biggest change is fewer clicks on informational searches. Two independent studies put numbers on it.

Pew Research Center (July 2025) tracked the real browsing of 900 US adults across 68,879 Google searches. When an AI summary appeared, people clicked a normal result on 8% of visits, compared with 15% when no summary appeared. They clicked a link inside the summary itself on about 1% of visits. About 18% of all searches showed a summary, rising to 60% of searches phrased as questions.

Ahrefs (February 2026) compared 300,000 keywords between December 2023 and December 2025. On keywords with an AI Overview, the top result's click through rate was about 58% lower than it would otherwise have been. The hit gets smaller further down the page:

Source: Ahrefs, December 2025 data, desktop.

ChatGPT, Perplexity and Gemini add a second front. People ask them for recommendations ("best accounting software for a two person agency") and get a short list of names. Being on that list depends on whether the model has seen your brand described clearly on your own site and in places it trusts, like Reddit, review sites and comparison articles.

Who lost traffic, and who did not?

Information sites lost the most. Local and commercial businesses lost the least. That pattern shows up in both the studies and the stories site owners tell.

From recent r/SEO threads (anonymized):

• An owner of info based sites reported organic traffic down roughly 50% since AI search arrived.
• A one year old culture blog with 150 self written articles went from about 140 daily visitors to 15 to 30, while still ranking on page one.
• A B2B company reported human traffic down about 15% but sales up 7%, because "if you need something, you've still gotta buy it from someone."
• A local business operator said daily calls and emails had doubled.
• An agency owner closed a client who found them by asking an AI tool for an SEO agency in their city.

As one r/SEO agency owner put it: if the answer someone needs is a plumber's phone number, somebody on that plumber's team still has to do the work to get that number into the answer.

What still drives clicks in 2026?

Pages that give people something a summary cannot: a thing to use, a decision to make, or proof from someone who did it.

1. Buying and hiring searches. Service pages per town, product pages, pricing pages. These were always where the money was, and AI has barely touched them.
2. First hand experience. Google's own guidance says original content with a real point of view matters most for AI search. A post about what happened when you tried something beats a rewrite of what everyone already says.
3. Assets. Templates, calculators, checklists, downloadable files and tools. The AI can mention them, but the person has to visit to get them.
4. Specific numbers and tables. Costs, fees, timelines and comparisons pull people in to check the detail, and they make you a source the AI quotes.
5. Titles that match the real query. One r/juststart site reportedly tripled clicks in two weeks just by rewriting titles on pages that had thousands of impressions and almost no clicks.

If you are deciding where to put limited time, our guide to free marketing channels for a new business compares SEO with Reddit, outreach and email by how fast each one pays. The Faceless AI Marketing pack goes further, with the step by step for picking one channel and the title rewrite process from Search Console.

What does Google say you should do for AI search?

Keep doing good SEO, and skip most of the "AI optimization" add ons. Google's guide to its generative AI features, published in 2026, says SEO best practices "continue to be relevant" because the AI features use the core ranking and quality systems.

To appear in AI Overviews or AI Mode, a page must be indexed and eligible to show with a snippet. That is it. There is no special file or tag.

Google lists several things you do not need for its search:

• llms.txt files or other machine readable files.
• Chunking your content into tiny pieces. It says there is "no ideal page length."
• Rewriting pages for AI.
• Structured data as an AI tactic. Schema still helps with rich results, but it is not required for AI features.

Watch out: Google also warns that mass producing pages for every query variation breaks its scaled content abuse policy. Operators in r/bigseo report programmatic sites losing most of their pages from the index within months.

ChatGPT and Perplexity are less documented, but practitioners in r/GrowthHacking agree on the basics: AI tools lean on pages that already rank and on brands mentioned by sources they trust. The difference between the two labels is covered in our AEO vs SEO explainer.

How to adapt your SEO for AI search, step by step

This is a plan for a small site or business, not an enterprise team.

1. Find your exposed pages. In Google Search Console, compare the last 3 months with the same period last year. Sort by clicks lost. Note which pages are informational questions.
2. Put the answer first. Under each heading, answer the question in one or two sentences before the detail. This helps readers and makes the page easy to quote.
3. Add something only you have. A real cost breakdown, a photo of your own process, a result you measured, a template. One original element per page.
4. Build or fix your money pages. One page per service per town for local businesses, a clear pricing page, comparison pages against real alternatives.
5. Get mentioned where AI looks. Helpful replies in Reddit threads in your niche, listings in directories, inclusion in comparison posts. Our guide to marketing on Reddit without getting banned covers the rules.
6. Rewrite weak titles. Any page with high impressions and a click rate under 1% gets a new title that matches what people actually searched.
7. Measure leads, not just visits. Track calls, form fills, sign ups and sales. Fewer, better visits can be a win.

Tip: Search for your main topic in Google and ChatGPT once a month and write down which sites they cite. One r/SEO practitioner said the most useful habit is studying which kinds of pages Google pulls into its AI answers, then making yours look like those.

Mistakes to avoid

These come up again and again in r/SEO, r/juststart and r/GrowthHacking:

• Publishing AI written filler at volume. Bloggers posting several AI drafts a day report pages crawled but not indexed, and sites that lose most of their traffic after an update.
• Paying for "GEO" tricks. llms.txt files, special schema and rewritten "AI friendly" pages are on Google's own myths list. One study discussed on r/SEO found the large majority of llms.txt files were never requested.
• Judging success by AI impressions. Search Console's new generative AI report shows impressions only. Commenters pointed out there is no click data, so an impression can mean you were summarised without anyone visiting.
• Building a business on simple questions. If every page answers something a summary can answer in two sentences, expect the click rate to keep falling.
• Quitting at month three. Experienced posters repeat that real movement takes around a year of consistent work. AI did not change that.
• Buying cheap links. Paid links from junk sites are a footprint Google discounts and they break its spam policies.

Is it still worth starting SEO now?

For a business that sells something, yes. For a pure ad funded info site, much less so. The r/SEO thread asking whether SEO has a future had hundreds of replies, and the most useful split was this: SEO for a business with customers is still in demand, while starting a niche content site to earn from display ads is "pretty tough."

Results vary a lot by niche, competition and how much original material you have. Nobody can promise traffic, and anyone who does is selling something. If you need customers in weeks rather than months, pair SEO with a faster channel like outreach or Reddit replies.

Where to go from here

1. Pull your Search Console data and mark the pages losing clicks.
2. Rewrite the top 10 titles and add an answer first paragraph to each.
3. Add one original asset or real number to your five most important pages.
4. Build or fix your money pages before writing more blog posts.
5. Spend 20 minutes a day getting mentioned in the places your buyers already ask questions.

The Faceless AI Marketing pack turns this into a full plan: 23 lessons across 6 modules on SEO, Reddit, cold outreach and email, with the audit template, title rewrite process, pre flight check for new pages and outreach scripts, for $19. All 16 Money Printer packs are $39 together.