AI Search FAQs: Is It Free, Is It Accurate, and Does It Replace Google?

Short answers to the questions readers actually ask about AI search — each answer grounded in the makers’ own documentation and the two independent studies (Pew’s behaviour data and the Tow Center’s accuracy test) that anchor this series. For the full mechanics, read the pillar guide to AI search explained; this page is the quick reference to keep open beside it.

Is AI search free to use?

Yes, all three major systems can be used at no cost. Google AI Overviews appear inside ordinary Google searches — there is nothing to buy and nothing to install. ChatGPT search is a feature of ChatGPT and works on its free tier; OpenAI’s help centre describes it as something ChatGPT invokes automatically when a question needs current information, or that you can switch on manually. Perplexity offers a free tier with standard searches, and sells a Pro subscription for its deeper Pro Search mode and higher limits — priced at $20/month when the Tow Center tested it in early 2025. The pattern to remember: answers are free; depth, volume and the surrounding assistant features are what subscriptions sell. Nobody needs to pay to start using AI search today — and nobody should pay expecting accuracy to be included, since the Tow Center found premium tiers could err more confidently on hard questions even while answering more of them correctly overall.

How accurate is AI search, really?

It depends entirely on the question type, and the honest answer requires the one rigorous measurement available. The Tow Center for Digital Journalism gave eight AI search tools 1,600 queries asking them to trace news quotes back to the exact article, publisher, date and URL — a deliberately hard retrieval exam on which the tools collectively answered incorrectly more than 60% of the time, with Perplexity at 37% incorrect and ChatGPT Search at 67%. Routine questions — a definition, a date, how a process works — are far easier than source-tracing, and the tools handle them well; specialised, recent, local or contested questions drift toward the study’s territory. Two rules survive every caveat: the answer’s confidence tells you nothing (wrong answers were rarely hedged — ChatGPT signalled uncertainty fifteen times in 200 tries), and the citation, not the paragraph, is the unit of trust. Our guide to how answers go wrong walks through each failure mode; the two-minute version is: open the source for anything you will repeat, spend on, or sign.

Does AI search replace Google?

Not on current evidence. Start with the behaviour: Pew’s analysis of a browsing panel (900 US adults, 68,879 searches, March 2025) found AI summaries appearing in roughly 18% of searches, and — the underappreciated baseline — about two-thirds of all Google searches already ended without a click before summaries are even counted. Classic results haven’t vanished; they sit directly under the summary, and Google’s own documentation frames AI Overviews as a feature that is “additive to classic Search,” shown where a generated gist helps, with the fuller AI Mode reserved for exploration and complex comparison. What is genuinely changing is the first step of research: orientation now happens inside the answer, and the click — when it comes, on 8% of summary visits versus 15% without — is increasingly a verification click rather than a discovery click (Google argues those clicks are “higher quality,” with visitors spending more time on the destination). Expect coexistence with shifting roles: answers for orientation, links for evidence. The day an AI summary is the only output is not here, and nothing in the makers’ own documentation announces it.

Why does the same question get different answers in different tools?

Because the systems are not one system. They use different indexes and retrieval sources (Google’s own web index; OpenAI’s search partners; Perplexity’s retrieval stack), different models to write the answer, and different triggers for searching at all — Google itself warns that its own two features, AI Overviews and AI Mode, “may use different models and techniques, so the set of responses and links they show will vary,” and the same logic applies across companies, only more so. Answers also drift over time as pages are recrawled and models updated. Disagreement between tools is therefore normal and useful: where two systems cite the same primary source, confidence is warranted; where they diverge, they’ve shown you exactly which claim to check first. Our comparison guide covers which system leans which way, and our prompting guide shows how pinning dates and naming sources narrows the divergence.

Why did my website’s traffic change — and can sites opt out?

Because summaries satisfy some visits that used to click: Pew measured users ending their session right after viewing a summary page 26% of the time versus 16% without one, and clicking a result link half as often when a summary appeared. For site owners, Google’s documentation is precise about the mechanics: a page must be indexed and eligible to show in Search with a snippet to appear in AI features, there are “no additional technical requirements,” and owners keep the standard controls — robots.txt rules, nosnippet and max-snippet tags, noindex, and the Google-Extended token for AI training use. In other words, visibility in AI answers rides on ordinary search eligibility; there is no separate AI submission process, and opting out is done with the same levers that control classic snippets, with the trade-offs those levers have always carried.

Is what I ask AI search private?

Treat every query as data you are handing to a company, because you are. The three systems differ in their account models — Overviews ride on your ordinary Google usage, while ChatGPT and Perplexity tie questions to your account and session history (Perplexity’s sessions deliberately retain follow-ups so a conversation builds context). Retention and training policies change and differ by plan, so the durable rule is behavioural rather than legal: don’t type into an answer engine anything you wouldn’t type into a search box on a work computer — personal identifiers, confidential documents, other people’s information. For the wider habits that keep AI tools from quietly collecting more than you intend, our privacy and AI questions cover the settings that matter. Convenience is the product here; discretion remains yours.

What this means

The FAQ format forces short answers, so let the long one go to the pattern underneath all six. AI search is simultaneously free and costly — free in money, costly in attention if its answers are consumed unexamined; accurate enough to orient, not accurate enough to cite; and powerful enough to reshape how a fifth of searches end without yet replacing the index it summarises. For US readers, Pew’s numbers describe a public mid-adaptation: most people have met an AI summary, few click inside it, and the session-ending summary is becoming the default way simple questions close. None of that is cause for alarm or for complacency — it is cause for a small set of habits that this whole series exists to install: enjoy the free orientation, pay only for depth you genuinely use, believe citations you have opened rather than tones you have heard, and keep classic search one scroll away for the questions that decide things. The tools are young, the measurements will change, and the reader who understands what these systems are — retrieval plus fluent generation — will keep getting the best of each version of them.

A final word on the direction of travel, because FAQs date quickly. Everything in this series describes systems measured in 2025 and documented today; the summaries will get longer, the citations better engineered, the free tiers more capable — and each improvement will make the unexamined answer feel safer than it is, because fluency scales faster than verification. That asymmetry — persuasion improving automatically, verification improving only by practice — is the single most important fact in this FAQ. The stable ground is not any product’s current accuracy but the reader’s stance: answers are drafts, citations are claims, and sources are where truth is checked. Hold that stance and each new version of AI search is an upgrade you collect; lose it, and each version is a more persuasive way to be wrong.

Bottom line

Free in money, costly in unexamined attention; accurate enough to orient, not accurate enough to cite. That is the honest label for AI search today — use it accordingly and it serves you well.

Read Next

• AI Search Explained: How AI Overviews, ChatGPT Search and Perplexity Build Their Answers
• ChatGPT FAQs: Privacy, Accuracy and Limits, Answered

Sources

• Do People Click on Links in Google AI Summaries? — Pew Research Center (accessed 7 November 2026)
• AI Features and Your Website — Google Search Central (accessed 7 November 2026)
• AI Search Has a Citation Problem — Tow Center for Digital Journalism, Columbia Journalism Review (accessed 7 November 2026)
• ChatGPT search for Enterprise and Edu — OpenAI Help Center (accessed 7 November 2026)