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AI Search (AEO) Agency · DTC Ecommerce

ChatGPT is recommending products to your buyers right now.
Make sure it's recommending yours.

When buyers research a category in ChatGPT, Perplexity, Claude, or Gemini, AI engines cite three to five trusted sources. Either you're one of them, or your competitor is. We rebuild the brand-clarity, third-party proof, and machine-readable signals that decide which side of that line you're on.

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// The Brief

Search Offgrid is a DTC-focused AI search agency for ecommerce brands doing $50K+/month. AI search optimisation, the SEO industry calls it Answer Engine Optimisation, or AEO, is the practice of being cited by ChatGPT, Perplexity, Claude, Gemini, and Bing Copilot when buyers research brands inside an AI tool instead of a search engine. The signals are different from classic SEO: getting cited matters more than getting ranked, brand clarity matters more than keyword density, and third-party proof matters more than on-page word count. We run AI search as one lever inside the Ten-Lever Operating System.

// Detail

What you need to know about ai search (aeo) agency.

01

Why DTC brands need AI search optimisation right now

AI search is reshaping how buyers research before they purchase. ChatGPT, Perplexity, Claude, and Gemini ground their answers in a small set of cited sources per query, and shoppers increasingly use them for category research, brand comparison, and product validation before they ever hit Google. An AI search agency builds the four signal layers that decide whether your brand makes the citation set. Brand clarity, your brand, your founder, and your products defined and consistently referenced across the open web (the SEO industry calls this entity clarity). Third-party proof, reviews, expert mentions, structured data, and case studies organised so AI engines can find them and treat them as evidence. Machine-readable signals through structured-tag deployment for product, offer, review, FAQ, and how-to, built against the patterns AI engines actually parse. Source-quality signals through editorial citations from publications AI engines treat as primary sources.

02

How AI search differs from classic ecommerce SEO

Classic SEO optimises for ranking, get to position one, harvest the click. AI search optimises for citation, be one of the three to five sources an AI engine grounds its answer in. Backlinks still matter, but for a different reason: source quality, not raw count. Keyword density is irrelevant. What matters is whether your page contains short, sourced, machine-readable claims an AI engine can extract and quote verbatim. Our AI search strategy service ships the brand-clarity work, structured-tag deployment, third-party proof architecture, and citation outreach to close the gaps the audit surfaces.

03

AI search and Google AI Overviews, twin disciplines

AI search optimisation focuses on standalone AI tools (ChatGPT, Perplexity, Claude). Google AI Overviews optimisation (GEO) focuses on the AI layer Google added to its own search results. The signals overlap heavily, both reward brand clarity, structured evidence, and source quality, but the citation ecosystems are different. We run them together for almost every brand because the work compounds. The Operator and Command tiers of our system include both AI search and Google AI Overviews work alongside classic SEO. The Recon tier is classic SEO only, we layer AI search work on once the foundations are solid, because content strategy and editorial links have to underpin the AI layer or none of the citations stick.

04

Different entry points

AI search is one entry point into our system. If you want classic DTC SEO with AI search included, the broader DTC engagement covers it. If you have an in-house team that needs senior direction rather than a full team retainer, the consultant model fits. Same operator team, same Ten-Lever Operating System, different angle.

// Why us

What you actually get when you hire us.

// 01

AI search coverage measurement

We test how your brand currently surfaces across ChatGPT, Perplexity, Claude, and Gemini for hundreds of buyer-intent queries. Citation count, sentiment, accuracy, quantified, not guessed.

// 02

Brand clarity rebuild

Your brand, your products, and your founder defined consistently across the open web. Wikidata, Knowledge Graph, Crunchbase, and structured tags unified, so AI engines stop hesitating about what your brand is.

// 03

Third-party proof architecture

Reviews, expert mentions, third-party data, and case studies organised so AI engines can find them and treat them as evidence. Proof is the AI search equivalent of backlinks.

// 04

Structured tags for AI extraction

Product, offer, review, FAQ, how-to, and article tags deployed to the standard AI engines actually parse. Validated against the real extraction patterns the major AI tools use.

// 05

Citation acquisition

Editorial placements in the publications AI engines treat as primary sources. Quality over quantity, one tier-1 citation outperforms fifty mid-tier mentions.

// 06

Monthly tracking + iteration

Citation count, sentiment, and accuracy across each major AI engine, tracked monthly. Iterate on what moves the needle. Drop what doesn't.

// Fit check

Who this is actually for.

// Built for

  • DTC ecommerce brand looking ahead of the SEO curve
  • Already established classic SEO programme
  • Categories where buyers research extensively (supplements, beauty, home, apparel)
  • Founders who track AI search adoption

// Not for

  • Pre-product-market-fit
  • Brands that haven't fixed classic SEO basics yet (we do those first)
  • B2B SaaS, services
  • One-off consulting (AI search is a programme, not a project)

// FAQ

The questions every founder asks first.

  • It's the practice of making your brand surface when buyers search via AI tools, ChatGPT, Perplexity, Claude, Gemini, Bing Copilot, Google AI Overviews, rather than via classic blue-link search. The SEO industry calls it Answer Engine Optimisation, or AEO. The signals are different from classic SEO: citations and brand clarity matter more, raw link count matters less.

  • Overlapping but distinct. AI search optimisation focuses on standalone AI tools (ChatGPT, Perplexity, Claude). Google AI Overviews optimisation focuses on the AI layer inside Google's own search results. The industry calls them AEO and GEO respectively. We treat them as twin disciplines and run them together for most brands.

  • No. AI search compounds on top of classic SEO foundations, brand clarity needs structured tags, citations need link-worthy content, third-party proof needs real signal. If your classic SEO is broken, fix it first. Our Operator and Command tiers run both in parallel.

  • Citation count, citation sentiment (positive / neutral / negative), citation accuracy (are AI engines saying true things about you), and brand recall (does the engine surface you when buyers ask category-level questions). Tracked monthly across the major engines.

  • Audit how you currently surface across the major AI engines. Prioritise the three highest-impact gaps. Ship the work, brand-clarity unification, structured-tag deployment, third-party proof architecture, citation outreach. Repeat quarterly.

  • Yes. Operator ($2,000/mo) and Command ($3,000/mo) tiers include AI search and Google AI Overviews work alongside classic SEO. The Recon tier ($1,500/mo) is classic SEO only, AI search becomes available when you upgrade.

// Adjacent levers

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// Adjacent practices

All five practices run the same operator team, the same Ten-Lever Operating System, and the same revenue-attributed reporting. Different angles of one offer.

// Briefing

Want to know where your store is leaking organic revenue?

Book a 30-minute diagnostic call. A senior operator will walk through your store live, show you the three biggest leaks, and tell you which lever pays back fastest, even if you never hire us. Engagements run $1,500/mo to $3,000/mo.

Book a 30-Min Diagnostic Call