Is Traditional SEO Still Worth It After Google AI Mode

Traditional SEO is still worth it after Google AI Mode, because AI Mode builds its answers from pages Google already ranks. If you are a founder or marketing lead at a seed to Series B SaaS or AI startup and someone on your board has asked whether SEO is dead, the answer is no, but the case for it now rests on buying-stage rankings and citations rather than blog traffic. Clicks on informational queries are falling and will keep falling. Rankings, especially on buying-stage queries in Google and Bing, still decide which products get found and which pages AI answers draw on.

Is traditional SEO still worth it after Google AI Mode?

Yes, because AI Mode does not replace ranking, it consumes it. Google's guide to generative AI features, updated in July 2026, says SEO best practices remain relevant because these features are rooted in its core Search ranking and quality systems, and describes them retrieving pages through those systems before writing an answer. Google's AI features documentation adds that only indexed pages eligible for a snippet can appear as supporting links.

Outside Google the logic holds too. ChatGPT search and Copilot draw on Bing's index, so a page that ranks in Bing is a candidate for those answers. What has changed is the payoff: a ranking used to be worth a predictable share of clicks, and on informational queries it no longer is.

What does Google AI Mode change?

AI Mode changes how many searches end without a click. In Semrush's clickstream sample of US desktop sessions from May 1 to July 5, 2025, just 6% to 8% of AI Mode sessions ended with a visit to another website. An earlier Semrush study, using a different method, put zero-click rates for normal Google searches at 35% to 46%. AI Mode queries averaged 7.22 words, almost twice the 4.0 words of a traditional query.

Ahrefs' February 2026 update put the click-through penalty for the top result on AI Overview queries at 58% in December 2025, against 34.5% in April 2025. Pew Research Center saw the same in real browsing: a traditional result was clicked on 8% of visits to pages with an AI summary and 15% of visits without one.

Google disputes the scale. In an August 2025 post, Liz Reid, Google's head of Search, said total organic click volume had been relatively stable year over year and that quality clicks had slightly increased, while traffic was shifting between sites. At I/O 2026 Google said AI Mode had passed 1 billion monthly users and that Search queries had reached an all-time high. Both things can be true: more searches overall, fewer clicks per informational search. Similarweb's July 2026 data, measured on a panel, describes AI Mode as growing fast early, then levelling off and starting to soften, so treat usage claims from every side with care.

What still depends on rankings?

Most of what an AI Overview cites still ranks somewhere for the query. Ahrefs' March 2026 study found 37.9% of cited URLs in the top 10 and a further 31.2% in positions 11 to 100. Ahrefs suggests many of the rest rank for the related searches the overview runs behind the scenes. Buying-stage queries rarely show an overview at all, so their clicks still go to classic results.

• Eligibility. Google only links to indexed, snippet-eligible pages in AI Overviews and AI Mode, so crawlability and indexing are the entry ticket.
• Retrieval. Google's own description of grounding is retrieval through its core ranking systems, including the related searches it runs for subtopics.
• Bing. ChatGPT search and Copilot draw on Bing's index, and Bing Webmaster Tools now reports AI citations in Copilot and Bing's AI summaries.
• Buying-stage clicks. Ahrefs found AI Overviews on 0.9% of navigational, 2.1% of transactional and 4.3% of commercial keywords, so those searches mostly still show classic results.
• Brand demand. If an AI answer names you and the buyer searches your name next, that click goes to whoever ranks for it, so your own brand terms still need ranking pages.

Which SaaS query types are most affected by AI Mode and AI Overviews?

Informational and educational queries are the most exposed, and commercial and transactional queries the least. In Ahrefs' November 2025 study of 146 million SERPs, AI Overviews appeared on 57.9% of question queries, 28.6% of Computers and Electronics keywords and 30.3% of Internet and Telecom keywords. Long, multi-part comparisons are where Google positions AI Mode, and Ahrefs' December 2025 comparison found AI Mode named 3.3 brands or people per answer against 1.3 in AI Overviews. The table maps that to a typical SaaS keyword set. The example queries are illustrations.

Swipe sideways to see every column

Query type	Illustrative query	Exposure	Evidence	What to do
Definitions and how-tos	“what is speaker diarization”	High	57.9% of question queries trigger an AI Overview (Ahrefs)	Keep a few authoritative pages, write answer-first, measure citations not clicks
Multi-part comparisons	“which transcription tool supports Spanish and integrates with Salesforce”	High in AI Mode	Google positions AI Mode for complex comparisons	Publish comparison and use-case pages with the constraints stated plainly
Shortlists and alternatives	“[competitor] alternatives”	Medium	4.3% of commercial keywords trigger an AI Overview; AI Mode names 3.3 brands or people per answer (Ahrefs)	Rank the page and get named on the roundups AI answers cite
Branded	“[your product] pricing”	Low to medium	13.1% of branded keywords trigger an AI Overview (Ahrefs)	Keep pricing and limits current so AI answers repeat the right facts
Transactional and navigational	“[your product] login”	Low	2.1% of transactional and 0.9% of navigational keywords (Ahrefs)	Classic SEO, fast pages, clean sitelinks

How should you rebalance effort between rankings and citations?

Keep everything that makes pages eligible and buying-stage pages rank, cut work whose only output was informational traffic, and add the work that gets you named inside answers. The point is not a fixed percentage split. It is that every page should be judged on whether it ranks for a buying query, gets cited in an answer, or does neither.

Swipe sideways to see every column

Keep	Cut back	Add
Technical SEO: crawling, indexing, rendering, speed	Posts written only to rank for high-volume definitions	Answer-first rewrites of pages that already rank
Comparison, alternatives, integration and use-case pages	Traffic as the headline KPI	Sections that answer the follow-up questions buyers ask
Earning links from relevant sites	Thin pages for every keyword variation	Brand mentions in reviews, roundups and communities
Ranking in Google and Bing for your brand and category	Republishing old posts with new dates	Citation tracking and pipeline attribution

Two pieces of evidence support the right-hand column. In Ahrefs' study of 75,000 brands, branded web mentions correlated 0.664 with AI Overview brand visibility, against 0.218 for backlinks. And Seer Interactive's November 2025 study found brands cited in an AI Overview earned 35% more organic clicks than when they were not cited, with the caveat that stronger brands may simply be cited more often.

For the measurement side, our guides on building a SaaS SEO strategy around signups instead of traffic and measuring SEO by pipeline cover the reporting. For the defensive side, see what to do when AI Overviews take your clicks.

When is traditional SEO not worth it?

It is not worth it when nobody searches for what you sell yet, when your runway is shorter than the time it takes to rank, or when your content would repeat what is already out there. In each case the money is better spent elsewhere first, and that was true before AI Mode.

• A new category with no search demand. If buyers describe the problem but never your category name, start from the problem language, as covered in getting found when buyers do not search your category name.
• Runway shorter than the ranking timeline. A new domain takes months to earn trust in Google and Bing. If you need pipeline this quarter, paid and outbound come first, as we explain in how long SEO takes for a new AI startup domain.
• Commodity content. Google's guide tells site owners not to recycle what others have already said. A blog of rewritten explainers will neither rank nor be cited, with or without AI Mode.

What does an integrated SEO and AI search plan look like?

It is one plan with two scoreboards. The same pages are built to rank in Google and Bing and to be quoted by ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, Google AI Mode and Copilot, and progress is reported as rankings on buying queries, citations on research queries, and pipeline from both. That is the approach behind an integrated SEO and AI search program.

If you are weighing outside help for this, our comparison of AI SEO agencies sets out what to check, and the sister piece on how to rank in Google AI Overviews shows the page-level work in detail.