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Peak Engine

AI SEARCH

Be the answer, not the tenth blue link.

A growing share of buyers now ask an AI assistant who to hire before they ever open a search results page. BrightLocal found 45% of consumers used ChatGPT-style tools for local recommendations in 2026, up from 6% the year before. Whether you show up in that answer is not luck.

Connected reference nodes converging into a single illuminated answer plane

TL;DR

Showing up when people ask Google or ChatGPT takes work: making your business the source an AI assistant names. It has a few parts: a clear statement of what you do, schema, content an AI can quote, mentions on the outside sites AI tools trust, fresh pages, and monthly checks against a real list of questions.

Included inSummitPeak· SEO and AI search on their own: $997/mo

Part of Demand Generation

WHAT CHANGES

The outcomes this is accountable for.

You get named when buyers ask

When someone asks an assistant who to call in your area, your business is in the answer with the right details.

A head start on a channel most competitors ignore

Scorpion's 2026 home-services survey found 80% of businesses do not know how to show up in AI results. That gap is the opportunity.

It lifts your traditional search too

Entity clarity, schema, and structured content improve rankings and citation rates at the same time. The two work together.

WHAT’S INCLUDED

The pieces, and what each one does.

Entity definition

Models cite the clearest source, not always the biggest one.

  • A single, unambiguous definition of what you do, where, and for whom — stated consistently everywhere
  • Organization and LocalBusiness schema with services, areas served, and credentials filled in properly
  • Consistency across your site, Google Business Profile, directories, and social — models cross-check
  • Disambiguation from similarly named businesses, which is a surprisingly common reason for being missed

HOW IT GOES

What actually happens, and when.

  1. Weeks 1–2Baseline prompt suite run, entity audit, and a gap list against competitors
  2. Weeks 3–5Schema, entity definitions, and llms.txt implemented; answer-first blocks written
  3. Weeks 6–10Content restructure and citation building in the sources models trust
  4. MonthlyPrompt suite re-run and reported, with the transcript log attached

What you get depends on your plan: Base Camp, Summit or Peak. See pricing.

BEFORE YOU ASK

Frequently asked.

It has several parts: entity definition, schema markup, llms.txt strategy, content structured so models can chunk and quote it, citation building in third-party sources, freshness signals, and an authority graph. We work the whole stack rather than picking the one piece that is easy to sell.

Yes. We run a monthly suite of 30 to 80 brand-relevant queries across ChatGPT, Perplexity, Claude, and Google AI Overviews and log whether your brand appears, in what context, and against which competitors. You get the full transcript log.

Faster than traditional SEO, because models reindex evidence weekly rather than quarterly. New mentions can start to show up within four to six weeks of starting work, with bigger changes over eight to twelve weeks. Neither is guaranteed.

No. Models cite the clearest source, not just the largest one. A small business with a sharp entity definition and good schema regularly appears in answers where much larger competitors do not. That is precisely why this is worth doing now.

No — the work overlaps heavily. Strong entity definitions, schema, and clear content structure improve both rankings and citation rates. There is no tradeoff to make here.

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