d2b2 finds inefficiencies through data and workflow analysis, builds the integrations and automation to fix them, and delivers the reporting that keeps your team ahead of the problem. Services include solutions engineering, custom integrations, paid marketing, revenue analytics, marketing infrastructure, and answer engine optimization.

What is the d2b2 engagement process?

Every d2b2 engagement follows three phases. The Audit: a structured review of your stack, spend, and data to understand what exists and what needs fixing. The Stack Build: implementing tracking, attribution, AI tools, and automation that work correctly from day one. The Handoff: full documentation so your team can run everything independently after the engagement ends.

Who does d2b2 work with?

d2b2 works with growth-stage companies where operations and marketing have been reactive and disconnected from the underlying data. All engagements are project-based, not retainer-based. Based in San Diego, CA, serving clients across the US.

How is d2b2 different from a traditional marketing agency?

d2b2 applies data science thinking to marketing rather than relying on intuition or waiting on monthly reports. The goal is to build systems you own and understand, not dependency on an ongoing agency relationship. Every engagement ends with a complete handoff so the client can run the work independently.

Does AEO replace SEO?

No. AEO supplements SEO but doesn't replace it. Traditional search still drives most web traffic, and AI engines often use search ranking signals as a quality input when deciding what content to cite. Backlinks and domain authority still matter for AEO. The difference is that AEO adds content structure, schema markup, and entity authority as additional optimization layers.

How do I optimize content for AI search engines like ChatGPT and Perplexity?

Write content that directly answers specific questions your clients are asking. Use question-format H2 and H3 headings. Add FAQ schema markup (JSON-LD) to your pages. Build a consistent entity footprint across your website, LinkedIn, Google Business Profile, and industry directories. Be specific, cite examples, and avoid hedging — AI engines favor content written for readers, not for search algorithms.

What Is Answer Engine Optimization (AEO) and How Is It Different from SEO?

When someone asks ChatGPT for a recommendation or types a question into Perplexity, they’re not getting a list of ten blue links. They’re getting an answer, sourced from somewhere, often without a visible citation trail.

Answer Engine Optimization (AEO) is the practice of making your content the source those systems pull from. It’s adjacent to SEO but different in ways that matter if you’re trying to be found through AI-powered search.

How do answer engines work differently from search engines?

Traditional search engines like Google serve results. Answer engines like Perplexity, ChatGPT, Google’s AI Overviews, and Claude serve answers — synthesized from multiple sources, often delivered without requiring the user to click through to a website.

This changes the optimization target. With traditional SEO, the goal is a click. With AEO, the goal is to be the source the engine cites or draws from, whether or not the user ever visits your site. Being cited in an AI answer is the new version of ranking first.

The engines that matter most right now:

Google AI Overviews: appears at the top of Google results for many informational queries
Perplexity: growing fast, especially for research-oriented searches
ChatGPT Browse: used for current information when enabled
Claude: strong in professional and analytical contexts

How is AEO different from SEO?

Both AEO and SEO care about content quality, page speed, and structured data. But the differences are significant:

	SEO	AEO
Primary goal	Ranking position	Citation and answer inclusion
Success metric	Clicks and traffic	Mentions and citations
Optimization focus	Keywords and backlinks	Clear answers and entity authority
User action	Click through to your site	Engine reads your content and synthesizes

SEO is still important. Traditional search still drives most web traffic and AI systems often use search rankings as a quality signal. But AEO requires additional work that SEO alone doesn’t cover. Understanding how attribution tracks across your marketing channels is useful context here — AEO changes how users find you, which changes how you should think about measuring that traffic.

What does AEO actually require?

Clear, direct answers to specific questions. AI engines scan for content that directly answers the query. Content structured as “Here is the answer to this question” performs better than content that buries the answer in a long essay. Use question-format H2 and H3 headers. Write the answer in the first paragraph after the heading.

FAQ and structured schema. FAQ schema markup (JSON-LD) tells Google’s crawlers explicitly that your page contains question-and-answer content. This increases the likelihood of appearing in AI Overviews and featured snippets.

Entity establishment. AI engines build a knowledge graph of who and what entities are authoritative. For a consultant or business, this means being consistently described the same way across your website, LinkedIn, industry directories, and mentions in other content. The more coherent your entity footprint, the more likely an AI engine is to treat you as authoritative.

Authoritative, specific content. AI engines are trained to avoid content that hedges excessively, repeats itself, or is clearly written for SEO rather than for readers. Write for the person asking the question. Be specific. Include examples. Make claims you can support.

Citations and backlinks still matter. AI engines use existing quality signals as inputs. Content that has backlinks from authoritative sources is more likely to be included in AI answers. AEO doesn’t replace link building. It supplements it.

Where should you start with AEO?

For most businesses, AEO starts with three things:

First, write content that answers specific questions your clients are actually asking — not just descriptions of your services, but genuinely useful answers to the questions that lead someone to need those services. The RevOps explainer is a good example of the format: it answers “what is this and do I need it?” directly before going deeper.

Second, add FAQ schema to your site. This is a small technical implementation that has measurable impact on AI Overview inclusion.

Third, build your entity footprint. Consistent presence on LinkedIn, Google Business Profile, and industry directories creates the multi-source corroboration that AI engines use to verify that you’re a real, credible entity.

AEO is still an evolving discipline, but the businesses investing in it now are building a moat as AI-powered search grows.

d2b2 offers AEO audits and content strategy for businesses trying to show up in AI-powered search. Start a conversation if you want to understand where you stand.