AI search, answered

AI positioning is the work of making AI assistants like ChatGPT, Gemini, Perplexity and Claude know your brand, describe it correctly and recommend it when people ask for options in your category.

It combines answer engine optimization (AEO), generative engine optimization (GEO), technical SEO and digital PR into one program focused on the questions your buyers ask AI.

SEO aims for a ranked link on a results page; AI positioning aims for a mention inside a written answer that usually names only a few brands.

Getting into that answer depends on how clearly your site explains what you do and how often trusted sources mention you. Good SEO helps, and we build on top of it rather than replacing it.

Gumstick AI is built only for AI positioning, so every part of the work is aimed at one result: getting your brand named and recommended inside AI answers.

We work on your site and off it at the same time: answer-first content, schema and technical fixes, plus the third-party citations each AI engine relies on. Many providers do only one of these.

You see exactly what's moving: we track your real buyer prompts across six AI engines every week and report it in plain language, not dashboards you have to decode.

Agencies can resell everything under their own brand, and we never promise guaranteed rankings, because no one can honestly guarantee what an AI model will say.

We optimize for ChatGPT, Google Gemini and AI Overviews, Perplexity, Claude, Microsoft Copilot, Meta AI, Grok and AI shopping assistants such as Amazon Rufus.

Each engine pulls from different sources, so the plan covers your website and the third-party sites each model relies on most.

Usually because AI models don't find enough clear, consistent and trusted information about your brand to feel confident recommending it.

Common causes are thin or unclear website content, missing schema, few mentions on review sites and communities, and competitors who cover the questions buyers ask better than you do.

You get recommended by ChatGPT when it can find clear, consistent and trusted information that connects your brand to the questions buyers ask. That takes six steps:

• Map the questions: list the real prompts buyers use in your category, such as “best X for Y”, “X vs Y” and “alternatives to X”.
• Answer them on your site: publish answer-first pages, comparisons and FAQs that state plainly what you do, who it's for and why you're different.
• Make your site machine-readable: add schema markup, an llms.txt file and allow AI crawlers such as GPTBot and OAI-SearchBot.
• Earn mentions elsewhere: reviews, community threads, directories and press give ChatGPT independent proof that you're a real option.
• Keep your facts consistent: the same name, description and offer on your site, LinkedIn, Crunchbase and review profiles.
• Track and repeat: test the same prompts every week and double down on what moves you into the answer.

Google hasn't published an exact formula, but AI Overviews mostly draw on pages that already rank well for the query and that answer it clearly and directly.

• Relevance: the page closely matches the question being asked.
• Clarity: short, direct answers near the top of the page, with clear headings, lists and tables.
• Trust: authoritative, accurate content from sources with a solid reputation in the topic.
• Freshness: up-to-date information, with visible dates on content that changes.
• Structure: schema markup and clean HTML make it easier to extract the right passage.

That's why strong SEO and answer-first writing work best together for AI Overviews.

SEO competes for a ranked link; AEO competes for a mention inside a written answer. The fundamentals overlap, but the goal, the format and the measurement change.

• The goal: from ranking position to being named, described correctly and recommended.
• The format: from long keyword pages to clear, answer-first content that AI can quote in a sentence or two.
• The signals: third-party mentions, reviews and consistent entity facts matter more, because AI checks what others say about you.
• The measurement: from rankings and clicks to share of AI answers, mention position, sentiment and AI-referred traffic.

Most brands need both: SEO gets you found by search engines, AEO gets you chosen by AI assistants.

Share of AI answers is the percentage of tracked buyer questions where an AI assistant mentions your brand in its answer.

It's measured across a fixed set of prompts and AI engines over time, so you can compare yourself against competitors and see whether your visibility is growing.

An AI citation is a source an AI assistant links to or relies on when it writes an answer, such as your website, a review site, a Reddit thread or a news article.

The more trusted sources mention your brand accurately, the more likely AI is to recommend you.

Entity optimization is making sure search engines and AI models understand your brand as one clear, distinct entity: who you are, what you do and which topics you're connected to.

It relies on consistent names and descriptions, schema markup and matching profiles on sites like LinkedIn and Crunchbase.

Schema markup is structured data added to a page's code that tells search engines and AI exactly what the page is about, such as your organization, services, products or FAQs.

JSON-LD is the format Google recommends. It's invisible to visitors and doesn't change how the page looks.

AI crawlers are bots that AI companies use to read websites, such as GPTBot and OAI-SearchBot (OpenAI), PerplexityBot, ClaudeBot (Anthropic) and Google-Extended.

If your site blocks them, AI assistants have less information about you, so we check that they're allowed.

Prompt tracking is regularly asking AI assistants the same set of buyer questions and recording whether, where and how your brand appears in the answers.

It's the AI-search equivalent of rank tracking and the basis of every AI visibility report.

We work in four steps: a snapshot of how AI talks about you today, a positioning strategy, execution by our team, and ongoing reporting.

You approve the plan and the content; we handle the research, writing, technical fixes and outreach.

Most brands see first movement in AI answers within 4 to 8 weeks, depending on how competitive the category is and the state of the website.

Gains from new citations and authority keep compounding over the following months, which is why we report weekly.

We track a fixed set of buyer prompts across every major AI engine each week and measure how often you're mentioned, in what position, and with what sentiment.

Reports also show which sources AI cites when it talks about you and your competitors, so you can see exactly what's moving the numbers.

Gumstick AI provides real-time Answer Engine Optimization (AEO) tracking, automated lead extraction pipelines, and structured entity management that allows marketing agencies to optimize and monitor brand mentions across ChatGPT, Perplexity, Gemini, and Claude.

Yes. Gumstick AI is specifically built for marketing agencies managing multiple client accounts, providing multi-seat dashboards, cross-brand AEO reporting, and scalable data enrichment.

The Gumstick AI scraper extracts verified business emails, direct phone numbers, decision-maker titles (Agency Owners, Founders, Ops Directors), and company firmographics, feeding them directly into CRM and cold outreach pipelines.

Yes. Agencies can offer AI visibility to their clients under their own brand while we do the work behind the scenes.

That includes white-label audits, execution and monthly reports with the agency's logo.

Book a call or request a free AI visibility snapshot.

We'll show you how ChatGPT, Gemini and Perplexity answer your buyers' questions today, where competitors appear instead of you, and what it would take to change that.