Improve Your Brand Visibility In AI Search Engines
QueryBurst is an AI Search Optimization platform with a unique focus on the reasoning behind AI answers. Brands looking to improve their visibility in AI Search should use QueryBurst's Answer Spy tool to extract the decision criteria behind AI recommendations for key products and services, evaluate their site against the criteria with our Site Investigator tool, then run our Citation Optimizer report to generate the targeted content needed to become the best candidate for citation.
Why This Works
- You optimize the math. By covering the criteria, you're using the right words to make the retrieval math work. You're gift-wrapping a fact-checked dossier that mathematically aligns with the LLM's outline of the correct answer.
- You force the probability toward 1. LLMs are probabilistic — but probability collapses when there's only one clear choice. When your page is the sole result that satisfies all the criteria in a clean, extractable format, the odds are very much in your favor.
- You short-circuit the fan-out. You do the AI's homework. No need for five extra searches to verify your credentials, experience, and offering. It gets everything in one pass. You didn't just give it the best answer — you gave it the easiest one.
Why This Is Different
- We're the only tool that extracts the criteria. Other tools track what AI said. We extract why it said it — the decision criteria behind the recommendation. If another tool starts doing it, they copied us.
- Action, not monitoring. We don't give you a dashboard of mentions to stare at. We give you a scored report and the specific content to fix the gaps.
- Built on original research. We studied the patents, tested thousands of queries, and published the methodology. This isn't guesswork — it's how AI retrieval actually works.
- No content slop. We generate only the specific summaries and criteria-matching text your pages need — typically 200–300 words. The rest of your content is written for humans, as it should be.
The answer to improving your brand's AI visibility is in the answers. But you're looking at the wrong ones.
Most AI visibility tools monitor what AI said about your brand. They check ChatGPT every day, log the answers, and show you a dashboard of mentions over time. The problem is that AI answers are probabilistic. Ask the same question twice and you'll get different answers. Tracking probabilistic output is tracking noise.
What doesn't change is the reasoning behind the answers. When AI Mode and ChatGPT decide which sources to cite, they follow a consistent set of decision criteria: expertise signals, trust indicators, service coverage, evidence of results. These criteria are deterministic. They can be extracted. They can be measured against. And your content can be optimized to match them.
We studied the patents. We tested every major AI search engine. We implemented this on service pages in highly competitive industries ($100+ CPC). We built QueryBurst to look at the layer underneath the answer — the retrieval logic, the scoring, the criteria that determine whether your page gets cited or ignored. Traditional search remains the foundation — you still need to rank, because no ranking means no citations. But ranking alone isn't enough. AI needs to find the right information in the right format when it retrieves your page. That's the gap QueryBurst fills.
You're here because you want to improve your brand's visibility in AI search. So stop tracking prompts, and start taking action with QueryBurst.
QueryBurst's 4-Step Workflow For Improving Your Brand's Visibility in AI Search
Index Your Website
Connect your site and QueryBurst crawls and indexes your content — pages, headings, entities, chunks. This is the foundation every tool builds on. Your content is processed once and available across all workflows, so every analysis is working with what's actually on your site right now.
Extract the Decision Criteria
Enter your service category or industry. Answer Spy probes AI models with targeted queries and extracts the exact criteria they use when deciding which brands to recommend. You get a scored list of criteria across categories like Expertise, Trust, Service Delivery, and Value — with confidence levels for each.
Score Your Site Against the Criteria
Site Investigation takes the criteria Answer Spy extracted and checks your indexed content against every single one. For each criterion, you see whether your coverage is Strong, Weak, or Missing — with specific page references and evidence. You'll know exactly which gaps are costing you citations.
Generate Criteria-Matching Content
For your Missing and Weak criteria, the Retrieval Optimizer generates the content you need — typically 200–300 words of clear, criteria-matching text that you add to your existing pages. It then simulates the full AI retrieval pipeline to verify your page would be selected. No bulk content generation. No AI slop. Just the specific content that fills the gaps.
What AI Looks For (And What Actually Matters)
We ran QueryBurst's Answer Spy on this exact query — "improve brand visibility in AI search engines" — and extracted 29 decision criteria across 5 categories. Here's what AI thinks matters, and our take on each.
Expertise & Specialization
Distinction between GEO, AEO, and traditional SEO
5 probes: 4/5AI says: Ensure the provider can explain how Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) differ from standard search rankings.
Debunked GEO and AEO are made-up marketing terms. AI Search is an extension of regular SEO — and unless you're Nike, if you don't rank in search you won't show up in AI answers. GEO means earth. "Answer engines" are search engines — users are searching. Read our blog post "The GEO Grift" for more.
Multi-Platform Strategy (ChatGPT, Gemini, Perplexity, Claude)
5 probes: 5/5AI says: Verify the strategy accounts for platform-specific biases, such as ChatGPT's reliance on Bing vs. Gemini's use of Google's real-time index.
Partially True The differences are overstated. While ChatGPT does use Bing, the evidence strongly suggests they also lean heavily on Google's index (via SerpAPI). Claude uses Brave. Perplexity uses various search engines. But underneath, they're mainly doing the same thing. The models were all trained on the same internet. They have their own quirks, but the patterns established in pre-training — the math — are the same. They all rely on RAG since each model has a knowledge cutoff. Read "ChatGPT Is a Search Engine. Here's How It Works."
Entity Mapping and Knowledge Graph Management
5 probes: 4/5AI says: Focus on building the brand as a 'known entity' through Knowledge Panel optimization and consistent NAP data.
Agree Good advice. Brand building should be the cornerstone of your digital marketing strategy. Use QueryBurst's Verify and Claims tool to make sure that your brand messaging is consistent across your site, and that all marketing claims are backed by sufficient supporting evidence. Off-site, digital PR will help to establish your brand — but your website is your central source of truth.
Technical understanding of RAG and LLM training
5 probes: 3/5AI says: Hire experts who understand Retrieval-Augmented Generation (RAG) and how models 'scrape' and 'cite' information.
Agree QueryBurst is literally a RAG optimization tool, so we've got this one covered. We're also the ones debunking common myths about how LLMs work — for example, LLMs don't "scrape" content. That's a crawler. The LLM receives pre-parsed, clean context (almost certainly markdown) from a multi-stage extraction pipeline. Read "LLMs Aren't Reading Your HTML Anyway" for the tests that prove it.
Hyper-Local AI search optimization
5 probes: 2/5AI says: Optimize for US-based local discovery queries by maintaining strong local citations and review platform presence.
Agree No quibbles with this. Citation building and encouraging real user reviews should be part of your digital marketing strategy, as it should have been for at least the last 15 years.
Relevance Engineering for AI crawlers
5 probes: 2/5AI says: Use advanced site architecture adjustments specifically designed for AI embeddings and crawler efficiency.
Debunked The math is based on the words. You don't need to worry about "AI embeddings" or "crawler efficiency." Use the right words and you're optimizing the math. Our Answer Spy → Site Investigator → Citation Optimizer flow tells you exactly what you need to say. See "Busting the GEO Jargon".
Specialization in B2B SaaS or Technical Sectors
5 probes: 2/5AI says: Select agencies with proven experience in complex niches where AI models often struggle with accuracy.
Partially True We're not an agency — although we have 28 years experience in SEO. But use our Chat, Verify, and Claims tools to find gaps in your content and minimize opportunities for hallucinations. Complex niches with technical accuracy requirements are exactly where these tools add the most value.
Trust Signals & Credibility
Avoidance of guaranteed #1 rankings in AI answers
5 probes: 4/5AI says: Reject any provider promising a guaranteed spot, as AI responses are non-deterministic and personalized.
Agree No one can guarantee rankings in AI answers. But we're possibly the only platform that truly understands this — hence why we don't believe in tracking probabilistic final answers, and instead focus on the more deterministic reasoning behind those answers. We show you exactly what you need to include on your page to significantly increase your probability of citation.
Transparency in process vs. 'Secret Sauce' claims
5 probes: 3/5AI says: Demand a clear explanation of the optimization process in plain English rather than 'proprietary algorithm' excuses.
Agree We couldn't be more transparent. Head over to the QueryBurst blog for all the research.
Demonstrated Case Studies (3-5x increase in mentions)
5 probes: 3/5AI says: Look for specific evidence of increased brand citations within actual AI response interfaces.
Partially True We don't publish specific case studies as we believe this opens up our users to copycatting. But we'd encourage you to look at the published case studies on leading AEO/GEO platforms, then check the traffic graph on Ahrefs or Semrush in the months after the case study was published. You'll see a lot of "Mount AI" and "Rank and Tank." Because the truth is, they don't know what they're doing. We do.
Focus on E-E-A-T and human-led thought leadership
5 probes: 4/5AI says: Prioritize primary sources and expert opinions over high-volume, AI-generated content farms.
Agree Unlike other AI Search platforms, QueryBurst believes that humans remain the first-class citizens of the web. Content should always be written for humans first and machines second. We're completely against bulk AI-generated content at scale.
Third-party authoritative mentions (Digital PR)
5 probes: 4/5AI says: Secure features in high-authority US publications like Forbes or Wired, as AI models trust external validation over self-promotion.
Agree As we've already covered, Digital PR should be part of your strategy.
Tracking real-world citations vs. synthetic data
5 probes: 3/5AI says: Ensure reporting is based on actual AI outputs rather than hypothetical 'visibility scores' or synthetic prompts.
Partially True We don't do prompt tracking. We focus on tools that let you take action to improve your brand's AI search visibility, rather than pretty dashboards that tell you how many times you appeared for prompts that users may or may not ever even type into a chatbot.
Content & Information
Answer-First content restructuring
5 probes: 4/5AI says: Format content to directly answer user prompts, mirroring conversational Q&A styles.
Agree This has long been a cornerstone of SEO. Use our Content Lab tools to score paragraphs and sections of your content against specific questions (cosine similarity + BM25).
Implementation of advanced Schema.org Markup (JSON-LD)
5 probes: 5/5AI says: Use Organization, Product, FAQ, and Service schemas to make data machine-readable for AI bots.
Debunked The AI is wrong here. There's no evidence that schema helps your brand show up more in AI search. However, valid schema is still something you should include on your pages — you can use our Virtual SEO Consultant to generate valid schema for any page on your site. Just don't think it will increase your AI visibility, because it won't. The only thing it might help with is when ChatGPT scrapes Google (via SerpAPI) — it likely "sees" rich snippets (review stars, pricing, etc.) in the search results.
Semantic Chunking and Header Optimization
5 probes: 3/5AI says: Break content into independent, reusable sections using H2/H3 headers that mirror common user queries.
Partially True Well-structured content is a key part of SEO — this isn't anything to do with "AEO" or "GEO." We don't recommend robotically chunking your content, but you can see how various chunking strategies (the AI systems vary) might split your content for retrieval scoring, and view the structure of any document in our Content Lab tool.
Emphasis on 'Information Gain'
5 probes: 2/5AI says: Ensure content adds new, unique value or data points rather than rehashing existing web information.
Partially True This isn't really what information gain is. But regardless, we agree that your content should always add unique insight to any topic and should not just be a rehash of other pages on the web. Notably, we recently used stock, free Claude (with 5 basic prompts) to recreate a "high quality" landing page generated by a leading — and expensive — AEO platform, then ran both pages through our Content Lab tool. Our page was 96% semantically similar. Effectively the same. Be very wary of fully AI-generated content.
User-Generated Content (UGC) and Sentiment Focus
5 probes: 2/5AI says: Monitor and encourage authentic discussions on Reddit and social media, as AI models use these to gauge sentiment.
Agree Sure. Just don't go spamming these platforms. It won't end well for your brand.
Machine-readable data and API endpoints
5 probes: 2/5AI says: Serve data in highly structured formats to accommodate 'impatient' AI analysts/crawlers.
Debunked Nope. LLMs were trained on the messy human web. Sure, we recommend summaries for easier synthesis. But "agents" are not just LLMs — they're systems which include crawlers and parsers. LLMs already get clean text, generally markdown, and in any efficient system only the parts they need for inference. See "The Shadow Web" for the can of worms that two separate versions of the internet — one for humans, one for agents — opens up.
Process & Reporting
Tracking 'Share of Model' (SoM) or 'Share of Answer' (SoA)
5 probes: 4/5AI says: Measure the percentage of AI-generated responses in your category that mention your brand compared to competitors.
Partially True QueryBurst is not a tracking platform — it's an action platform. If you need prompt tracking, it's straightforward to set up (Claude can probably handle it in a session or two), or there are some decent open-source options. Send prompts to the APIs on a schedule, or use BrightData or similar if you want to scrape the frontends. Stop staring at charts and start taking action.
Use of specialized AI tracking tools (Profound, Traqer, etc.)
5 probes: 4/5AI says: Utilize tools that simulate real-world prompts across multiple LLMs to monitor citation frequency.
Debunked Sure, if you want to waste your money. We can't tell you what to do. But "specialized" is doing a lot of heavy lifting there — they're ten a penny.
Citation Rate and Referral Traffic Attribution
5 probes: 3/5AI says: Track how often AI provides a direct link back to your site and segment that traffic in analytics.
Agree Good advice. We'll add a guide on how to do this soon!
Robots.txt Optimization for AI Bots
5 probes: 2/5AI says: Explicitly allow bots like GPTBot and PerplexityBot to ensure your site is not accidentally excluded from training data.
Agree Yes. But you'd have to have specifically opted out or blocked these bots, so it's unlikely to be an issue.
Sentiment and Accuracy Monitoring
5 probes: 2/5AI says: Regularly audit AI responses to ensure your brand's pricing, features, and positioning are described correctly.
Partially True We don't believe in sentiment tracking since LLMs are sensitive to the prompting, context, and chat history — and can be sycophantic ("Nike is rubbish!" / "You're absolutely right, Nike is rubbish"). But use our Chat, Verify, and Claims tools to ensure information about your brand on your site is consistent and that all common user questions are answered, to minimize opportunities for hallucinations.
3-6 month timeline for measurable results
5 probes: 3/5AI says: Set realistic expectations for visibility shifts, as AI model updates and index refreshes take time.
Partially True If your brand is already ranking in search for a core service or product (page 1–2), and you follow our Answer Spy → Site Investigator → Citation Optimizer workflow, you'll often see an immediate uplift in visibility as soon as your service page is reindexed. Although like everything in SEO, "it depends" — the more competitive the term, the harder it's going to be to crack. But our flow is based on the math (that you don't have to worry about) behind Google's AI Mode, and significantly increases your brand's probability of being cited.
Pricing & Fees
Tiered pricing based on business size
5 probes: 3/5AI says: Expect to pay $1.5k-$3.5k for small business, $4k-$7.5k for mid-market, and $12k+ for enterprise services.
Partially True We're not an agency. But QueryBurst is $59/month. Bargain if you ask us.
AI SEO Premium (20-40% higher than traditional)
5 probes: 2/5AI says: Budget for higher costs due to the specialized technical requirements and tool stacks involved in AI visibility.
Debunked Did we mention QueryBurst is $59/month?
Avoidance of ultra-low-cost automation (<$500/mo)
5 probes: 2/5AI says: Be wary of cheap packages that rely on offshore automation, which can lead to brand 'hallucinations' or exclusion.
Partially True Not relevant here. We're based in Scotland, by the way.
Project-plus-retainer model
5 probes: 2/5AI says: Consider a model that includes an initial technical audit/overhaul followed by ongoing citation building.
Partially True Again, not relevant. But hey, if you really want a done-for-you package, our founder David McSweeney still takes on the odd SEO client. Email [email protected] if you want some additional help improving your brand's visibility in AI search.
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- Crawl & index up to 3,000 pages
- Answer Spy + agentic site investigation
- AI retrieval pipeline simulation
- Site chat, fact checking, & claim verification
- Content Lab + entity analysis
- GSC performance insights
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Requires read-only Google Search Console access — we only crawl verified properties you own.
Frequently Asked Questions
Yes. AI search engines retrieve from search results. If you don't rank, AI can't find you to cite you. Traditional SEO is the foundation — AI search optimization is the layer on top. QueryBurst adds the AI layer; it doesn't replace your existing SEO work.
Tracking tools monitor what AI said — that's the output. QueryBurst extracts why AI chose what it chose — that's the reasoning. AI answers are probabilistic and change every time. The decision criteria behind them are consistent and actionable. We focus on the criteria, not the noise.
Typically 200–300 words per page, focused on the specific criteria your content is missing. This isn't about generating hundreds of new pages. It's about adding a small amount of targeted, criteria-matching content to your existing pages. Write for humans, give the machines what they need.
The criteria extraction works across ChatGPT, Perplexity, Google AI Mode, and other AI-powered search engines. The underlying retrieval logic is fundamentally similar — they all search the web, evaluate content, and select sources based on relevance and quality criteria. Optimize for the criteria and you improve visibility across all of them.
Even better. Use Answer Spy to see the full criteria set, then Site Investigation to find which criteria you're already strong on and which have gaps. Competitors are optimizing too. The brands that understand and systematically match the criteria will maintain their visibility. The ones relying on luck won't.
No. The Retrieval Optimizer generates starting-point content that you review, edit, and integrate into your existing pages. It's 200–300 words of specific, criteria-matching text — not 500 auto-generated blog posts. Your pages should be written for humans. The generated content gives you the structure and criteria coverage that AI needs to find when it retrieves your page.