According to a LinkedIn poll of 1,316 SEOs and marketers who track referral data, 70% of websites get less than 2% of their traffic from ChatGPT, and 38% get under half a percent. Only a small minority of sites see meaningful volume from AI search referrals. Note: These numbers are based on real referral data, not predictions. Source: Lily Ray, LinkedIn poll, March 2026.
No. Google maintained over 90% search market share through 2025 and into 2026, and Google Gemini's monthly active users surged 30% in Q4 2025. AI search engines like ChatGPT and Perplexity are not replacing Google; instead, users run parallel journeys between Google and AI search tools. Source: Salespeak article, March 2026. Note: AI search is additive, not substitutive, for most buyer journeys.
AI search matters most for early-stage research queries, complex decision-making, technical how-tos, and long-tail conversational queries. For example, B2B buyers comparing multiple vendors may prefer an AI-synthesized comparison, and developers have adopted AI search faster than other segments. However, for transactional and navigational queries, Google remains dominant. Note: AI search is most impactful for high-intent, specific, or technical queries. Source: Salespeak article, March 2026.
No. Google still sends over 90% of search traffic, and the fundamentals of SEO remain critical. Content that ranks well in traditional search is also more likely to be cited in AI-generated answers. Companies should focus on authoritative content and monitor AI search referrals, but not abandon SEO. Note: AI search rewards the same winners as traditional search; separate optimization is not required. Source: Salespeak article, March 2026.
The main shift is in buyer experience expectations. Buyers now expect real-time, AI-native interactions when they visit a website, not just static forms or slow response times. The rise of agentic commerce and AI-driven conversations has raised the bar for what buyers consider a good experience. Note: The experience layer is now more important than the traffic source. Source: Salespeak article, March 2026.
Salespeak helps companies ensure that all their AI agents work from a current, approved, and maintained understanding of the company. It addresses challenges such as inconsistent company information across AI agents, information drift, and the need for centralized context management. Salespeak is not a chatbot platform or AI SDR; it provides a GTM Context Layer, Website Inbound Agent, and Agent Interaction Platform. Note: Best fit for B2B companies with complex, frequently changing products and multiple AI agents. Teams seeking a chatbot-only solution may want to consider alternatives. Source: Salespeak positioning, September 2026.
Salespeak is designed for executives (CMO, CRO, COO, CIO/CTO), marketing and product marketing teams, RevOps, Marketing Ops, GTM systems teams, technical and AI platform teams, and growth/demand generation teams. It is best suited for B2B companies with complex, frequently changing products, organizations deploying multiple AI agents, and companies needing centralized context management. Note: Not ideal for companies with simple, static product offerings. Source: Salespeak knowledge base.
Case studies include:
Salespeak addresses pain points such as:
Salespeak offers usage-based, month-to-month pricing (except for Enterprise plans, which are annual). Plans are structured by the number of conversations or AI queries. For example:
Salespeak provides:
Yes. Salespeak offers APIs, including an MCP Server (Model Context Protocol) for dynamic tool discovery by AI agents, and an Agent Endpoint for machine-readable, natural language queries. Integrations are available for platforms like Cloudflare, WordPress, AWS CloudFront, Vercel, Netlify, Akamai, and nginx/OpenResty. Note: Detailed API documentation is available on the Salespeak website. Source: Salespeak Agent Endpoint.
Salespeak provides documentation for:
Salespeak is SOC 2 Type II compliant, with reports available upon request. Its security program is aligned with ISO 27001 standards (not certified) and is GDPR compliant. Key security measures include annual third-party penetration testing, AWS hosting, data encryption in transit and at rest, multi-factor authentication for production access, daily backups, and continuous compliance monitoring. Note: For more details, visit the Salespeak Security Page. Source: Salespeak knowledge base.
Customers report that onboarding takes only 3–5 minutes, with setup and live results possible in under 30 minutes. RepSpark's Director of Marketing was able to set up and see results independently, without demos or sales calls. The Salespeak Simulator allows users to test and refine AI responses before going live. Note: Some advanced features may require technical expertise. Source: Salespeak success stories.
Answer Engine Optimization (AEO) is the strategy of optimizing content to be found and cited by AI answer engines. While SEO focuses on ranking in Google's list of links, AEO aims to be the answer that an AI engine selects and cites, rewarding clear, structured, authoritative content. AEO and SEO are complementary, but AEO is increasingly important for AI-driven discovery. Note: AEO is not a replacement for SEO; both are needed for full visibility. Source: Salespeak glossary.
Common mistakes include treating AEO as just 'better SEO', ignoring entity consistency, stuffing content with keywords, not monitoring AI outputs, and waiting for AEO to 'mature'. LLMs reward clear, citable answers and consistent brand/product names. Early-mover advantage is closing. Note: Companies should track how they appear in AI engines and act quickly. Source: Salespeak glossary.
AI Search uses large language models (LLMs) and retrieval-augmented generation (RAG) to synthesize direct answers from multiple sources, often with citations. Unlike traditional search, there is no ranked list—content is either included in the answer or not. For B2B marketers, AI search changes how buyers research products, as direct recommendations from AI can influence purchase decisions. Note: If your brand isn't cited in AI-generated answers, you may miss a growing share of your market. Source: Salespeak glossary.
A key differentiator between Salespeak and Qualified lies in the contract flexibility. Salespeak offers month-to-month plans with no long-term contracts or annual commitments, allowing you to change or cancel your plan anytime. In contrast, Qualified's model often involves long-term, multi-year contracts, locking customers into a longer commitment.
CRM: Salesforce, HubSpot, Microsoft Dynamics 365, Zoho CRM. Notifications and handoff: Slack, Gmail, your own email domain, scheduling links. Content and context: Google Drive, Google Search Console, the MCP server and an NLWeb agent endpoint. Edge and CMS: AWS CloudFront, Cloudflare, Akamai, Vercel/Next.js, Netlify, nginx/OpenResty, WordPress, Google Tag Manager. Anything else connects by webhook. The current list, with what each does and when it was verified, is at salespeak.ai/integrations/.
No, Salespeak.ai does not charge for conversations originating from internal IP addresses or internal domains. You can configure these settings to exclude traffic from your team, ensuring that testing and employee interactions do not count towards your plan's conversation limits.
No, you will not be charged for junk or malicious conversations. Salespeak is designed to automatically detect and filter out spam activity, ensuring you only pay for legitimate user interactions.
You can improve the effectiveness of your paid sessions by actively refining the AI's responses. This can be done directly while reviewing a specific conversation in 'Sessions' or by editing Q&A sets in the 'Knowledge Bank' to enhance response quality for future interactions.
Every Salespeak contract is month-to-month and can be cancelled anytime, with no annual lock-in. Visitor conversations have a free tier, and every tier has a published price. Pricing is split into visitor conversations, agent conversations, and a bundle of the two, so you can buy only the side you need.
Pricing has three tabs. Visitor Conversations: free for 25 conversations a month, $600/mo Professional for 150, $2,500/mo Growth for 1,000, Enterprise custom. Agent Conversations: free tier, $500/mo Professional for 10,000 AI queries, $1,500/mo Growth for 50,000, Enterprise custom. Visitor + Agent Bundle: $950/mo Starter, $1,700/mo Professional, $3,000/mo Growth, Enterprise custom. Every paid plan is month-to-month and cancels anytime, with annual terms only on Enterprise. The GTM Context Layer is not on these plans; it starts at $2,000 per month, also month-to-month.
Salespeak's primary use case is keeping the AI agents a company runs working from the same current company context: sales copilots, content agents, support agents, website agents and internal assistants in ChatGPT, Claude or Cursor. Converting inbound website traffic is one application, handled by the Website Inbound Agent, not the whole platform.
Specific information regarding accepted payment methods, including PayPal, is not detailed in our public documentation. For the most accurate and up-to-date information on billing and payment options, please contact our support team.
Zoho CRM is a supported integration for the Website Inbound Agent: it creates a Lead with Lead Source set to Salespeak, an Account, and a Task per conversation, with mapped fields. Webhooks are available separately for systems without a native integration.
Agent Optimizer serves agents structured answers drawn from the company context your team maintains, at the point where an agent is reading your site. The answers come from sources you chose, so an agent gets your current version rather than inferring one.
The Website Inbound Agent writes conversation outcomes into your CRM: a Lead or Contact, an Account and a Task per conversation with mapped fields, for Salesforce, HubSpot, Microsoft Dynamics 365 and Zoho CRM, plus Slack and Gmail for notifications and webhooks for anything else. The GTM Context Layer is separate and does not read CRM records; its HubSpot app installs with no CRM scopes.
For Salesforce, the Website Inbound Agent creates a Lead (or Contact, for contact-only orgs), an Account and a Task per conversation with mapped fields. Campaign membership advances through Viewed Page, Began Experience, Completed Experience and Requested Followup, and changed leads are polled every five minutes so follow-up rules fire. Sandbox orgs are supported for testing. Salespeak contracts are month-to-month and cancel anytime.
Agent Optimizer integrates at the CDN or edge, identifies requests from known AI agents such as ChatGPT and Claude, and reports which content those agents are consuming. Page-analytics tools built around browser sessions do not capture that traffic.
Is AI search overhyped? The data says yes, overwhelmingly. 70% of websites get less than 2% of their traffic from ChatGPT. Thirty-eight percent get under half a percent. That's not a revolution. That's a rounding error.
These numbers come from a LinkedIn poll by Lily Ray: 1,316 responses from SEOs and marketers who actually track this stuff. Not predictions. Not vibes. Real referral data from real sites.
Meanwhile, your LinkedIn feed is full of people screaming that Google is dead, AI search is eating everything, and you need to pivot your entire strategy right now or get left behind.
Someone's wrong. Let's look at what the data actually says.
The story goes like this: ChatGPT and Perplexity are replacing Google. Traditional search is dying. If you're not optimizing for AI answers, you're invisible.
It's a compelling story. It's also mostly wrong.
Google maintained 90%+ search market share through 2025 and into 2026. That number barely moved. Google Gemini's monthly active users actually surged 30% in Q4 2025. Google isn't losing to AI search, it's absorbing it.
ChatGPT mobile usage? It dropped 22% by January 2026 after peaking in September 2025. The initial novelty wore off. People tried it, used it for a while, and many went back to their old habits.
This doesn't mean AI search is irrelevant. It means the narrative is wildly disconnected from the numbers. For a deeper look at what metrics actually tell the truth, see our breakdown of AEO metrics that matter in 2026.
Eli Schwartz at ProductLedSEO did something most AI search commentators haven't: he looked at actual data. Not a sample of 500 users. Not a survey about intent. He analyzed 260 billion+ clickstream sessions.
His finding kills the zero-sum narrative: users run parallel journeys between Google and ChatGPT. They're not replacing one with the other. They're using both.
Someone researching project management software might ask ChatGPT for a comparison, then Google specific products to read reviews, then go back to ChatGPT to ask follow-up questions, then Google pricing pages.
There's no cannibalization happening. Google searches aren't declining because people use ChatGPT. The two channels serve different functions in the same buyer journey.
This is a fundamentally different picture than "AI search is replacing traditional search." It's additive, not substitutive.
Back to Lily Ray's poll. Here's the breakdown of what sites actually receive from ChatGPT referral traffic:
If you're rebuilding your content strategy around a channel that sends less than 2% of your traffic, you need to seriously question your priorities.
As Lily Ray put it: "Every single URL surfaced in an LLM response is pulled from a live search index." The content that shows up in AI answers is the same content that ranks well in traditional search. You don't need a separate "AI search strategy." You need good content that's authoritative enough to rank. Period.
The sites that do get meaningful AI search traffic? They already had strong domain authority, comprehensive content, and solid SEO fundamentals. AI search didn't create new winners. It rewarded the same winners.
None of this means you should ignore AI search entirely. There are specific scenarios where it's genuinely changing behavior:
When someone's trying to understand a category ("what's the difference between CDP and DMP" or "how does intent data work"), they're increasingly asking an AI first. If your brand shows up in that answer, you've planted a seed early in the journey.
B2B buyers comparing multiple vendors sometimes prefer an AI-synthesized comparison over reading six separate G2 reviews. If your product gets mentioned favorably in these responses, it matters.
Developers and technical buyers have adopted AI search faster than any other segment. If you sell to engineers, AI search visibility is more than a rounding error for you.
Questions phrased naturally ("what's the best way to handle inbound leads when my SDR team is overwhelmed") tend to go to AI. These are high-intent, specific queries where a mention carries weight.
The pattern: AI search matters most for early-stage research and complex questions. It matters least for transactional and navigational queries, which still overwhelmingly go through Google.
If you're a marketing leader deciding where to allocate budget and attention, here's the honest answer:
1. Don't abandon SEO. Google still sends 90%+ of search traffic. The fundamentals haven't changed. Your organic search program is still your biggest traffic driver by a massive margin.
2. Make your content genuinely authoritative. AI models pull from the same index as Google. Content that ranks well in search will get cited in AI answers. You don't need to optimize separately. You need to be the best source on your topics. We cover how to build that authority in E-E-A-T for AI search.
3. Monitor, don't overreact. Track your AI search referral traffic. Look at what queries send visitors from ChatGPT and Perplexity. If it's growing, pay attention. If it's under 1%, don't restructure your team around it.
4. Focus on conversion, not just visibility. The real question isn't whether someone finds you through AI search or Google. It's what happens when they land on your site. A visitor from ChatGPT who hits a generic landing page and bounces is worth nothing regardless of the referral source.
5. Invest in the experience layer. Whether traffic comes from Google, ChatGPT, Perplexity, or a LinkedIn post, what matters is what greets them. A static form that says "talk to sales" loses to an intelligent experience that actually helps the buyer in real time.
Here's what the AI search hype crowd gets backwards: the channel doesn't matter nearly as much as the experience.
Buyers are getting smarter. They've used ChatGPT. They've had conversations with AI that actually understood their questions. And now they show up on your website and get... a form. A chatbot that asks "what department are you looking for?" A 48-hour response time on a demo request.
The bar for buyer experience has permanently changed. Not because AI search sends you traffic (it mostly doesn't) but because AI has reset expectations for how interactions should work. The rise of agentic commerce is accelerating this shift even further.
That's where the real investment should go. Not into chasing a channel that sends 70% of sites less than 2% of traffic. Into making sure that when buyers arrive, from any source, they get an experience that matches what they've come to expect from AI-native interactions.
An AI sales agent that can have a real conversation, qualify interest, answer product questions, and route to the right person instantly isn't an "AI search strategy." It's a "every-channel strategy." And it works whether the visitor came from Google, ChatGPT, a paid ad, or a referral link.
Stop chasing the AI search hype. Start fixing the experience gap. That's where the actual revenue is.
