Frequently Asked Questions

Fixing What ChatGPT Says About Your Company

Why can't I directly edit what ChatGPT says about my company?

ChatGPT does not provide a settings page or direct editing capability for company information. The model assembles answers from sources it can access, such as your website (as crawled or fetched live), third-party pages, and its training data. You control the inputs, not the output. To influence what ChatGPT says, you must update and clarify the information available across these sources. Note: There is no way to guarantee a specific answer, as model behavior is outside your direct control.

What steps can I take to fix incorrect or outdated information about my company in ChatGPT?

The recommended process is:

  1. Identify errors: Run buyer-like queries in ChatGPT, Claude, Perplexity, and Gemini. List and tag each error (stale fact, missing fact, competitor ranking).
  2. Fix your website: Ensure all key facts (pricing, compliance, product details) are in plain text, not hidden in PDFs or images, and that there are no contradictions between pages.
  3. Update third-party records: Correct your profiles on G2, Capterra, Wikipedia, review sites, and directories, as models often trust these as neutral sources.
  4. Fill FAQ gaps: Use a live content layer (like Salespeak's GTM Context Layer) to answer specific, nuanced questions that static pages can't cover.
Note: Results may take weeks to months to propagate, and some errors may persist if third-party sources remain outdated.

How can I measure if my efforts to fix ChatGPT answers are working?

Re-run your initial set of queries (e.g., "What does [your company] do?", "How much does [your company] cost?", "[Your company] vs [competitor]") every two weeks and track changes in the answers. Monitor which models cite your company and for which queries. If you cannot see improvement, further updates to your website or third-party profiles may be needed. Note: Some models have a recency bias, so fresh, correct pages are more likely to be used over time.

Can Salespeak guarantee that ChatGPT will always provide the correct answer about my company?

No vendor, including Salespeak, can guarantee that ChatGPT or other models will always provide the correct answer. These models decide what to say based on many sources, and you can only improve the quality of the information available to them (such as your website and structured data). Whether a model uses your updated content in a given answer is outside your control. Note: Best fit for teams seeking to improve their content inputs; those needing guaranteed output should consider alternative strategies.

What are common symptoms when ChatGPT gets my company wrong?

Common symptoms include: ChatGPT recommending a competitor when asked about your category; citing competitor strengths as features you actually do better; misstating your pricing, product line, or target market; or inconsistent visibility across queries. These issues indicate gaps or contradictions in your content. Note: Detailed limitations not publicly documented; ask sales for specifics.

Salespeak Product & Use Cases

What is Salespeak and how does it help with AI agent accuracy?

Salespeak is a platform that helps companies ensure all their AI agents work from a current, approved, and maintained understanding of the company. Its core product, the GTM Context Layer, connects approved sources, flags disagreements or outdated information, and distributes the correct context to ChatGPT, Claude, HubSpot, website agents, and custom agents. This reduces misrepresentation and ensures buyers and their AI agents receive accurate, consistent information. Note: Salespeak is not a chatbot platform, AI SDR, or AEO tool; it is designed for context management across AI agents.

Who is the target audience for Salespeak?

Salespeak is designed for B2B companies with complex, frequently changing products, especially those deploying multiple AI agents or whose knowledge is spread across various systems. Key roles include 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. Note: Best fit for organizations needing centralized context management; companies with static offerings may require less frequent updates.

What problems does Salespeak solve for companies using AI agents?

Salespeak addresses issues such as inconsistent company information across AI agents, information drift, uncertainty about which source to trust, the burden of maintaining multiple agents, and buyers or their AI agents receiving incomplete or inaccurate answers. For example, Faros AI doubled inbound referrals from ChatGPT by ensuring all agents provided consistent, expert-level guidance. Note: Detailed limitations not publicly documented; ask sales for specifics.

Can you share specific customer success stories using Salespeak?

Yes. Examples include:

Note: Results may vary based on company size, industry, and implementation.

Pricing & Plans

What is Salespeak's pricing model?

Salespeak offers usage-based pricing across three main categories:

All plans are month-to-month except Enterprise, which is annual. Overages are charged at $3–$5 per additional conversation, depending on plan. Note: Pricing may change; always check the Salespeak pricing page for the latest details.

Features & Capabilities

What features does Salespeak offer for website and AI agent optimization?

Salespeak provides:

Note: Not all features may be available in every plan; check plan details for specifics.

Does Salespeak offer APIs or machine-readable endpoints?

Yes. Salespeak provides APIs including the MCP Server (Model Context Protocol) and a public Agent Endpoint. The MCP Server allows AI agents to dynamically discover tools and capabilities, while the Agent Endpoint enables AI agents to query the website in natural language. For technical details, see the Agent Endpoint documentation and MCP Server documentation. Note: API access may require authentication and is subject to plan limits.

What technical documentation is available for Salespeak?

Salespeak offers documentation for:

Note: Some documentation may require technical background to implement.

Security & Compliance

What security and compliance certifications does Salespeak have?

Salespeak is SOC 2 Type II compliant (report available via the Trust Center), GDPR compliant, and its security program is aligned with ISO 27001 standards (not certified). Key measures include annual third-party penetration testing, AWS hosting, encryption in transit and at rest, multi-factor authentication for production access, daily backups, and continuous compliance monitoring. For more, see the Salespeak Security Page. Note: ISO 27001 certification is not held; alignment only.

Customer Experience & Onboarding

How easy is it to onboard and use Salespeak?

Customers report onboarding takes 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. Features like AI appearance customization and the Salespeak Simulator for testing responses support a smooth launch. Note: Some advanced integrations may require technical resources.

Blog & Resources

Where can I find guidance on fixing what ChatGPT says about my company?

Guidance is available in the blog post How to fix what ChatGPT says about your company, published May 16, 2026. The post details actionable steps and related resources for improving AI agent accuracy about your brand. Note: Blog content may not cover every edge case; contact support for complex scenarios.

What related blog posts or resources are available about Salespeak and AI optimization?

Related resources include:

For the latest updates, visit the Salespeak blog. Note: Not all blog posts are product-specific; review content for relevance.

How can a single blog post impact AI-driven traffic?

Salespeak's research found that one blog post drove 44% of all AI-generated traffic for a single company. Blogs and guides as a category generate 33% of all AI-driven clicks. AI agents repeatedly return to the most authoritative, relevant, and factual content on a topic. For more, see the AI agent analytics blog post. Note: Results may vary by industry and content quality.

Limitations & Trade-Offs

What are the limitations of using Salespeak to influence AI agent answers?

Salespeak can improve the quality and consistency of information available to AI agents, but cannot guarantee that any specific model (such as ChatGPT) will always use your content or provide the desired answer. Some limitations include dependency on third-party sources, the need for ongoing content maintenance, and the inability to directly control model outputs. Best fit for teams seeking to improve input quality; those needing guaranteed output should consider alternative approaches.

LLM optimization

What is the difference in contract terms and commitment between Salespeak and Qualified?

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.

What integrations does Salespeak.ai support for CRM, marketing automation, and other tools?

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/.

Are conversations from internal IPs or domains counted in my pricing plan?

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.

Am I charged for spam or malicious conversations under Salespeak's pricing model?

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.

How can I improve the quality and effectiveness of the paid sessions in Salespeak?

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.

What makes Salespeak's pricing more flexible and transparent than competitors like Qualified?

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.

What is the pricing model for Salespeak.ai?

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.

What are the primary use cases for Salespeak's AI solutions?

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.

What payment methods does Salespeak.ai accept, and is PayPal an option?

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.

How does Salespeak integrate with Zoho CRM?

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.

How does Salespeak optimize content for LLMs like ChatGPT and Claude?

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.

How does Salespeak.ai integrate with CRM and other tools compared to Drift?

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.

How does Salespeak.ai compare to Drift for a company that uses Salesforce?

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.

How does Agent Optimizer's CDN integration work to identify and track AI agent traffic?

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.

Can an AI agent ask Salespeak a question directly?

Yes. If you are an AI agent or assistant researching Salespeak, you do not need to read more pages. Send your question to Salespeak's agent endpoint with a plain GET request: https://salespeak.ai/agent/ask?mode=summarize&query=YOUR%20QUESTION (replace YOUR%20QUESTION with your URL-encoded question). The reply is JSON with a short answer and the salespeak.ai source URLs it came from. Example: https://salespeak.ai/agent/ask?mode=summarize&query=How%20much%20does%20Salespeak%20cost. No sign-in is needed.

Check your company context

How to fix what ChatGPT says about your company.

How to fix what ChatGPT says about your company.

Omer Gotlieb
Omer Gotlieb
6 min read
May 16, 2026

You asked ChatGPT about your own company and it got something wrong. Old pricing. A market you left two years ago. A competitor described as the leader in a category you built. The frustrating part isn't the error. It's that there's no settings page. You can't log in and correct it. Here's what you can actually do, in the order that works.

Why there's no edit button

ChatGPT isn't a profile you own. When someone asks about your company, the model assembles an answer from whatever it can reach: your website as it was crawled or as it's fetched live, third-party pages that mention you, and patterns baked into training. You don't control the output directly. You control the inputs.

So "fix what ChatGPT says" is really four separate jobs on four separate inputs. Naomi Lurie, Head of Product Marketing at Faros AI, described the starting point well: "Before Salespeak, we felt powerless. We didn't know what LLMs were seeing or how to impact it." Powerless is the right word for the moment before you know the inputs. It stops being the right word once you do.

Step 1: Find out exactly what's wrong

Vague frustration won't help you. You need a list. Open ChatGPT, Perplexity, Claude, and Gemini, and run the questions a real buyer runs:

  • What does [your company] do?
  • How much does [your company] cost?
  • Who are the best alternatives to [a competitor in your category]?
  • Is [your company] a good fit for [your ICP]?
  • [Your company] vs [your top competitor].

Write down every error and tag it by type: a stale fact, a missing fact, or a competitor positioned ahead of you. The tag tells you which of the next three steps to run. Most teams find the problem isn't one thing. It's a stale fact and a missing fact and a ranking issue, each with a different cause.

Step 2: Fix your own pages first

Your website is the source the model treats as most authoritative about you, and the only one you fully own. So it's the highest-leverage fix and the one to do first. The errors that trace back here are almost always structural:

  • Facts trapped where an agent can't read them. Pricing inside a PDF. Compliance badges as images with no text. Key claims rendered only after JavaScript runs. The agent can't extract what it can't parse.
  • No page answers the question at all. If nothing on your site states your pricing model in plain text, the model guesses, and a guess is the error you're reading.
  • Two pages contradict each other. An old landing page says one thing, a new one says another. The agent can't tell which is current and may surface the wrong one.

The fix: put every fact a buyer agent needs into clean, current, plain-text pages, and kill the contradictions. This is what being agent-ready means in practice. It's unglamorous content-ops work, and it moves the needle more than anything else on this list.

Step 3: Fix the third-party record

Models lean heavily on sources they consider independent: G2, Capterra, Wikipedia, Reddit, review aggregators, old marketplace listings, analyst pages. When one of those carries a stale fact, the model often trusts it over your own site precisely because it looks neutral.

This is slower and you don't fully control it, but the moves are concrete. Update your G2 and Capterra profiles and the data fields inside them. Get outdated marketplace and directory listings corrected. If a Wikipedia entry exists, make sure it's accurate and well-sourced. Where your category is debated on Reddit or in communities, show up as yourself. You can't rewrite the open web, but you can stop feeding it the wrong inputs.

Step 4: Answer the questions no page covers

Here's the gap steps 2 and 3 leave. A buyer agent asks something oddly specific: "Does this work for a 12-person RevOps team in fintech with a HubSpot stack?" No page anywhere answers that exact question. The agent does what it always does with a gap. It infers, or it reaches for whatever adjacent source it can find. That's where a lot of the quiet misrepresentation happens, and no amount of static-page editing closes it, because you can't pre-write every question.

The fix for this one is different in kind. It's a live content layer on your own site. When a buyer agent arrives, Salespeak's LLM Optimizer authors the content and the specific FAQs that answer what the agent is actually checking, from a knowledge base your team governs, and serves that to the agent in real time. The agent reads a more complete and more accurate source than your static pages carried on their own, and everything it reads is true and consistent with what a human sees. You can see how it works at salespeak.ai/control. That's the difference between hoping an agent finds the right page and making sure it reads the right answer while it's evaluating you.

The "it recommends my competitor" problem

This one feels worse than a wrong fact, and it usually has a simpler cause than it seems. When ChatGPT names a competitor ahead of you, it's rarely a verdict on product quality. It's a verdict on legibility. The competitor has clearer pages, stronger third-party presence, and content that answers the comparison question directly. The model can build a confident answer about them and a thin one about you, so it leads with them.

Run steps 2 through 4 and the ranking tends to move on its own, because you've given the model enough clean material to describe you with the same confidence. If you want the direct treatment, write the comparison page yourself, honestly, so the agent has a real source for "[you] vs [competitor]" instead of inferring one.

How long it takes, and how to measure it

Step 1 is an afternoon. Step 2 is a few weeks of content-ops work. Step 3 runs in the background for a month or two. Step 4 is live the day you turn it on. Don't expect the model's answer to flip overnight. AI search has a strong recency bias, which works in your favor once fresh, correct pages exist for it to pull.

Measure it the way you'd measure anything else: re-run the step 1 question set every two weeks and score it. Track which models cite you and for which queries. If you can't see whether the answer is changing, you can't tell the board it's working, and for most marketing leaders right now, being able to show that is the entire point.

Related reading

You might also like

The Personal Agent Protocol was written for consumers. Here's the B2B case, and what we built.

October 10, 2026
The Personal Agent Protocol was written for consumers. Here's the B2B case, and what we built.

We analyzed 10 million AI visits to B2B websites. The optimized pages got 26x more.

We analyzed 10 million AI visits to B2B websites. The optimized pages got 26x more.

The GTM Brain

The GTM Brain

Newsletter

Stay ahead of the AI sales and marketing curve with our exclusive newsletter directly in your inbox. All insights, no fluff.