Graphite is positioned as a full-service "Answer Engine Optimization (AEO)" team, helping teams with growth goals gain citations and recommendations in AI answers such as ChatGPT, Perplexity, Gemini, and Google AI Overviews. Its core idea is: excellent SEO can bring AEO results for free, while off-site work is where the real differentiation lies.
Purpose and positioning: Graphite is aimed at teams that want to improve visibility, brand preference, and conversion results in AI conversational search. The materials state that AEO is growing, that its audience has high intent, and that they are 6 times more likely to convert than the general population. The team emphasizes that it does not chase trends or generic best practices, but instead has a research team identify the 5% of AEO strategies that consistently produce measurable impact, based on evidence.
Main capabilities (six major service modules):
- Prompt research: By analyzing the most relevant data sources such as sales calls, Reddit posts, and help center questions, identify the prompts buyers pose to large language models.
- Citation-ready content: Determine the on-site and off-site content that needs to be created, and how to create it, so that the brand becomes the consensus answer.
- Brand sentiment and reputation management: Assess how AI engines describe and compare the brand, identify gaps in sentiment and accuracy, and develop strategies to make the brand the preferred option.
- Technical AEO: Prioritize technical improvements that research has proven to affect AI retrieval and citation, including structured data, entity markup, internal links, crawlability, and page architecture.
- Citation tracking and analysis: Analyze tracking tool data and turn it into strategic insights, while overlaying manual tracking to obtain accurate data on "money prompts" in logged-in states.
- Off-site AEO and Reddit strategy: Analyze the publishers, communities, and citations that influence core prompts, and prioritize the opportunities with the greatest impact rather than generic off-site strategies.
Methodology and views: Graphite believes that AEO and SEO are not separate channels, that most SEO work supports AEO, and that the new opportunity lies in the long tail - capturing high-intent conversational prompts that people pose to AI but would not search for in search engines. The citation ecosystem is highly fragmented; Reddit may be visible, but visibility is also distributed across company websites, editorial websites, affiliates, e-commerce websites, and industry resources. A large amount of AI visibility actually comes from on-site pages (product/category/comparison pages), not only off-site work. Brand visibility also matters, and measurement should look at real clicks and conversions, not just mentions.
How to use: Graphite Delivered as a full-service team, starting with prompt research to compile the exact queries buyers ask AI engines (including queries that will not appear in Google Search Console), drawing on sources such as sales calls, support tickets, and forums. It then builds a structured, high-intent prompt set, typically 200+ queries per quarter, serving as a fixed benchmark rather than chasing the tool's weekly shifting recommendations. The materials explain that it validates key decisions through real logged-in user behavior and tracks which AI engines cite the brand on which questions and which competitors are compared.
Use cases: Suitable for teams that want to increase brand citation rates in AI search and conversational scenarios, improve brand sentiment, optimize on-site and off-site content and technical signals, and turn AI visibility into actual clicks and conversions. The materials list case data for Webflow, Fourthwall, BetterUp, MasterClass, and others, such as Webflow doubling signups from LLMs, Fourthwall growing search revenue 936% within nine months, BetterUp growing monthly organic traffic from 74K to 3.8M, and MasterClass growing monthly non-brand traffic from 0 to 571K.
Limitations and missing information: The materials do not provide specific fees or pricing plans, contracting process, service period, team size, supported regions, or other details; this content is not yet available. The case data is as stated in the materials, with no complete measurement methodology provided.
