Service
AI search work for companies that want answer engines to find, understand, and recommend them.
MA Family improves how companies appear in ChatGPT, Gemini, Perplexity, Google AI results, and other answer engines. The agency audits search readiness, SEO health, page performance, content discoverability, internationalization, accessibility, and technical crawl quality, then builds the earned media and owned content plan around the prompts that matter.
Buyers increasingly ask AI tools for shortlists, comparisons, explanations, and recommendations. Those answers depend on what answer engines can read, understand, and verify across the web.
MA Family works on the full surface: technical search readiness, PR, content strategy, positioning, third-party mentions, service pages, case studies, and prompt tracking.
We start with the audit: search readiness, SEO health, page performance, content discoverability, internationalization, accessibility, and crawl quality.
Then we map the strategy for earned media and owned content. Which questions should the company appear for? Which competitors appear now? Which sources are cited? Which pages are missing?
From there, we improve the source material: owned pages that answer the query, media coverage that validates the claim, third-party references that repeat the category, and content that makes the company easier to classify.
Audit what answer engines can read, crawl, classify, and cite.
Review SEO health, page performance, content discoverability, internationalization, accessibility, and technical crawl quality.
Map which sources AI tools cite for priority prompts and why competitors show up.
Build the owned pages, earned media strategy, third-party mentions, and proof assets AI systems can read.
Track prompt visibility over time and adjust the content and PR plan around real results.
Make the company easy to read and hard to confuse. Answer engines need crawlable pages, repeated entity signals, trusted third-party mentions, and content that matches real buyer questions.
SEO is one layer. AI answers also pull from media coverage, external references, comparison content, founder authority, category signals, and pages that explain the company plainly.
The web may understand them better. They may have stronger third-party mentions, cleaner pages, older source material, sharper positioning, or content that answers the prompt directly.
Audit what answer engines can actually see: search readiness, SEO health, page speed, crawl quality, discoverability, internationalization, accessibility, and cited sources.
No. Nobody controls the model outputs. The job is to improve the evidence, track the prompts that matter, and adjust PR and content around what the systems actually cite.
Pages with jobs to do: service pages, case studies, comparison pages, category explainers, customer proof, founder essays, media coverage, and third-party profiles.
Tell us what you are building, what moment is coming up, and which audience needs to understand it.
