AI Search Is Becoming the Default for How B2B Companies Find and Compare Products

I want to start with our own numbers, because they tell the story better than any forecast.

Across two properties I run, guptadeepak.com and GrackerAI, traditional search impressions declined over the past year. guptadeepak.com sits around 24 million impressions annually and fell roughly 20%. GrackerAI runs around 32 million and fell roughly 10%. By the old playbook, that is a bad year, falling impressions, fewer clicks, a shrinking top of funnel.

But over the same period, AI search visibility on both properties grew about 35%, with quality citations in the AI answers that B2B buyers actually read. And the leads coming through that AI channel are different: better filtered, higher intent, already informed, the kind of buyer who arrives genuinely looking to improve their AEO and GEO in B2B SaaS and cybersecurity rather than just browsing.

That inversion, traditional traffic down, AI visibility and citation quality up, better-qualified buyers arriving, is not a quirk of our properties. It is the central structural shift in B2B discovery happening right now, and the data backing it is overwhelming. This article lays out what is actually happening, why it is happening, what the numbers say across the industry, and what it means for any B2B company still measuring success by website traffic.

The Shift, Stated Plainly

For twenty years, B2B discovery followed a stable path: a buyer Googles a problem, clicks through to websites, reads, compares, and eventually talks to a vendor. Companies optimized their entire go-to-market around capturing and converting that website traffic.

That path is being replaced. Buyers now ask an AI engine their question, read the synthesized answer, build a shortlist from what the AI tells them, and often never visit the websites at all during the research phase. The discovery, comparison, and shortlisting now happen inside a chat window the vendor does not control and cannot fully measure.

The scale of this is not speculative. Forrester's 2026 Buyers' Journey Survey, which collected responses from nearly 18,000 global business buyers, found that twice as many buyers named generative AI or conversational search as their most meaningful research source compared to any other source, outranking vendor websites, product experts, and sales representatives. The proportion of buyers using AI in their purchase process grew from 89% in 2025 to 94% in 2026.

Read that again, because it is the whole story in one sentence: AI is now the single most meaningful vendor research source for business buyers, ahead of your website, ahead of your experts, ahead of your sales team. When the most meaningful research source is one where buyers read answers instead of visiting sites, declining website traffic is not a failure. It is the expected, structural consequence of where buyers went.

Why Your Traffic Is Falling (And Why That's Not the Real Problem)

The traffic decline that companies are experiencing has a clear cause, and our own 10-20% drops sit right in the middle of the industry range. B2B companies are reporting traffic declines of 10 to 40% over the past year as buyers migrate their research into AI engines. 73% of B2B websites experienced meaningful traffic decline between 2024 and 2025, with an average year-over-year drop of 34%.

Two mechanisms drive it. First, AI answers absorb the click. When a buyer's question is answered directly in ChatGPT or a Google AI Overview, there is no need to visit a site. SparkToro found that 68% of Google searches in the first four months of 2026 ended without a click to any external website. When an AI Overview appears, organic click-through rate drops 61%.

Second, and more consequential, high rankings no longer guarantee AI visibility. The two channels have decoupled. Ahrefs analyzed 15,000 prompts and found only 12% of URLs cited by ChatGPT, Gemini, Copilot, and Perplexity also rank in Google's top 10 for the same query. The overlap between top-10 Google rankings and AI Overview citations dropped from roughly 75% in mid-2025 to between 17% and 38% by early 2026. Your page-one ranking and your AI citation are now two different things, won by two different sets of signals.

Here is the reframe that matters. Falling traffic looks like a demand problem, but it is usually a visibility problem in a different channel. The buyers did not disappear. Their intent is identical to before. They are asking the same questions and making the same decisions; they are just doing it inside an AI engine instead of on a search results page. The question is no longer whether you rank. It is whether you are cited. And our own data shows the encouraging half of this: while traditional impressions fell, AI visibility on our properties rose 35%, which is the channel where the buyers actually went.

The Counterintuitive Payoff: AI Buyers Are Better Buyers

The reason the traffic decline is not the catastrophe it looks like is that the buyers who do arrive through AI convert dramatically better than traditional search visitors. This is the part of the shift that our own lead quality made obvious, and the industry data confirms it emphatically.

The conversion advantage is large and consistent across studies. AI search traffic converts at 14.2% compared to Google organic's 2.8%, a 5.1x advantage, according to a multi-source synthesis of six independent studies covering 680 million citations. Other analyses put it at 4.4x better than standard organic search. The most striking single data point: Ahrefs found that visitors arriving from AI platforms generated over 12% of their signups despite representing just 0.5% of total traffic, a 23x higher conversion rate than traditional organic search.

The explanation is intent. A buyer clicking through from an AI recommendation has already compared options, received a personalized endorsement, and arrived ready to evaluate rather than discover. The AI did the filtering before the buyer ever reached you. By the time they arrive, they are not a curious browser; they are a qualified prospect who has been told you are a fit for their specific situation.

This is exactly what we see at GrackerAI. The buyers arriving through AI search are not tire-kickers. They are companies that have already worked out they need to improve their AEO and GEO, in B2B SaaS and cybersecurity specifically, and the AI has pointed them to us as a relevant option. Fewer raw visitors, far better-qualified ones. The channel filters for intent in a way traditional search never did, which is why a 35% rise in quality AI citations can matter more to pipeline than the traffic the old channel lost.

Where in the Journey AI Now Lives

A nuance worth getting right: AI is not just a discovery tool. It is increasingly the comparison and evaluation engine, which is the highest-stakes part of the B2B journey.

The research is specific about what buyers use AI for. B2B buyers use AI tools to research product information (54% of buyers), compare vendors against each other (55% of buyers), and build internal business cases before engaging any vendor (47% of buyers). Buyers aren't only using LLMs to discover vendors; they're using them in the middle of the journey to compare offerings, analyze proposals, summarize third-party reviews, and create shortlists.

This matters because the comparison and shortlist stage is where deals are won or lost. 80% of deals are won by the vendor the buying group favored before engaging any sales team, and that preference increasingly forms during AI-assisted research. If the shortlist forms inside an AI conversation and your brand is not in it, you are eliminated before your sales team knows the opportunity existed. The consequences are concrete: in one March 2026 survey of over 1,000 B2B software buyers, 69% chose a different vendor than they originally planned based solely on what an AI told them, and one in three bought from a company they had never heard of before.

That last point cuts both ways and is genuinely hopeful for challengers. AI visibility can put a company a buyer had never heard of onto the shortlist purely on the merit of being the right, well-represented answer. The shortlist is no longer gated entirely by brand recognition and ad budget. It is increasingly gated by whether the AI can confidently cite you as a fit, which is a more level playing field than the one that came before.

The Gap Between Where Buyers Are and Where Companies Are Looking

Here is the opportunity hiding inside this shift. Buyer behavior has moved decisively, but most companies have not adjusted, which means the early movers are capturing disproportionate advantage right now.

The adoption gap is stark. Despite the overwhelming majority of B2B buyers using AI to research and compare, only 22% of marketers currently track AI visibility, and fewer than 26% plan to develop content specifically for AI citations. 96% of B2B companies are invisible in the early-stage AI discovery process, according to the 2X AI Index. The buyers are in the AI engines; the companies are still optimizing for a search results page the buyers are leaving.

This gap is the window. While most companies keep measuring the declining traffic channel and wondering why pipeline feels thin, the ones who recognize the inversion and invest in AI visibility are getting cited at the comparison moment, capturing the high-intent buyers, and doing it before their competitors show up. Our own properties are a small proof of the pattern: leaning into AI visibility while traditional traffic softened turned what looks like a down year on the old metrics into a better-qualified pipeline on the metrics that now matter.

The companies that win the next few years of B2B will not be the ones who fought hardest to preserve their website traffic. They will be the ones who recognized that the buyer moved, followed them into the AI channel, and earned the citations that put them on the shortlist that forms before any human conversation begins.

What to Actually Do About It

If you accept that AI search is becoming the default for B2B discovery and comparison, the practical response reorders your priorities.

Measure the right channel. Stop reading declining website traffic as pure bad news and start tracking your AI visibility: whether and how you are cited across ChatGPT, Perplexity, Gemini, and Google AI Overviews for the questions your buyers actually ask. Traffic dashboards alone now miss most of the story, because the most consequential stage of your funnel happens where your analytics cannot fully see.

Optimize for citation, not just ranking. Because AI citations and Google rankings have decoupled, you need work aimed specifically at being cited: structured, extractable, fact-dense content, earned third-party authority, and a product that describes itself clearly enough for an AI to represent it accurately. This is the practice of GEO and AEO, and it is a different discipline from traditional SEO even though the two reinforce each other.

Treat AI visibility as a pipeline priority, not a marketing experiment. Given that AI-referred buyers convert several times better than traditional search visitors, AI visibility is not a brand-awareness nicety. It is a direct pipeline lever, arguably the highest-quality one available right now, because of the intent filtering the channel does for free.

Move now, while the gap is open. With most companies not yet tracking or optimizing for AI visibility, early movers are compounding an advantage every quarter. The cost of waiting is not static; it grows as competitors establish the citation presence that gets harder to displace over time.

The shift is real, it is structural, and our own numbers are a small live example of it: traditional impressions down, AI visibility up 35%, better buyers arriving. The companies that read that inversion correctly, as the new shape of B2B discovery rather than a problem to be reversed, are the ones who will be cited when the next buyer asks an AI engine which products to consider.

For a vendor-neutral resource on the engines, signals, and measurement behind all of this, my GEO Compass goes deep on the how. This article is about the why, and the why is simply that the buyer moved.

Related reading

• The Cybersecurity AEO Playbook: how security vendors get cited by ChatGPT, Perplexity, and Claude.
• Citation Share: the metric cybersecurity CMOs should report to the board: how to measure the channel that now matters.
• Building Entity Authority in Cybersecurity: the trust signals AI models actually weight.
• GEO Compass: a vendor-neutral resource on the engines, signals, and measurement behind AI search.

Deepak Gupta is a serial entrepreneur and cybersecurity expert who co-founded and scaled a CIAM platform to serve over 1 billion users globally. He leads GrackerAI, a GEO platform built specifically for B2B SaaS and cybersecurity companies to achieve visibility in LLM search engines like ChatGPT, Perplexity, and Google AI Overviews. He writes about AI, cybersecurity, and B2B growth at guptadeepak.com.