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Sparkbilt

Answer Engine Optimization

Get found and recommended by AI.

When your customers ask ChatGPT, Claude, or Perplexity for a plumber near them, a salon in their neighborhood, or a contractor they can trust, your business should be in the answer. Most aren't. We fix that.

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Queries Per Audit

ChatGPT, Claude, Perplexity, Gemini, Copilot

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Day Re-audit Cycle

Same queries, before vs. after

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Schema Validated

JSON-LD on every build

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Answer Engine Optimization, plainly stated.

  • It's how you get into AI answers. When ChatGPT, Claude, Perplexity, Google AI Overviews, or Copilot recommend a business, they pick from a small pool of sources and only cite a fraction. AEO is the work of getting in that pool, then surviving the cut.
  • It's a layer on top of SEO, not a replacement. Schema markup, NAP consistency, structured FAQs, review velocity, and authority citations all matter, but they have to be engineered for retrieval, not just ranking. Different game, different rules.
  • Local categories are unusually winnable. The retrieval pool for "plumber near Quincy MA" is 20–40 sources, not 20 million. The businesses that move first take the seats, and AI assistants are sticky once they pick a recommendation.

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How we work with clients.

AEO Audit

Where you stand today across ChatGPT, Claude, Perplexity, Gemini, and Copilot, with proof.

  • CRITICALSchema, NAP, and Google Business Profile gap analysis
  • HIGH20 customer queries run across ChatGPT, Claude, Perplexity, Gemini, and Copilot
  • HIGHCitation rate and share-of-voice vs. your two top competitors
  • MEDIUMBranded PDF report you keep

Foundation Setup

The technical and content work that turns invisibility into citations within 3–6 weeks.

  • CRITICALJSON-LD schema deployed (LocalBusiness, Service, FAQ, Review, Hours)
  • CRITICALNAP cleanup across Google, Bing, Apple Maps, Yelp, and industry directories
  • CRITICALBing Webmaster Tools setup: the single biggest lever for ChatGPT visibility
  • HIGHFAQ, service-area, and pricing pages written for AI extraction
  • HIGHReview request flow rebuilt to prompt for specific, citable language

Ongoing Monitoring

Weekly prompt panels, monthly reports, misinformation alerts. The compounding work.

  • CRITICALAlerts when AI gives wrong hours, wrong services, or confuses you with a competitor
  • HIGH20 representative queries run weekly across ChatGPT, Claude, Perplexity, Gemini, and Copilot
  • HIGHCitation tracking, share-of-voice trend, sentiment monitoring
  • MEDIUMCrawler log analysis: proof AI bots are reading your pages
  • MEDIUMMonthly branded report

03

Methodology.

Every Sparkbilt engagement uses the same instrument before and after. The same prompts, the same platforms, the same measurement protocol. The 30-day re-audit is the proof.

Method
Description
Bot Crawler Simulation
curl run against the live site with User-Agent strings set to OAI-SearchBot, ClaudeBot, PerplexityBot, and Googlebot. Response HTML analyzed for content volume, structure, and information density.
Prompt Panel Testing
20 representative queries across ChatGPT, Claude, Perplexity, Gemini, and Copilot. Service searches, location queries, and competitor comparisons. Scored for citation presence and sentiment.
Schema & Structured Data Audit
Live HTML parsed for JSON-LD, microdata, and Open Graph tags. Validated against Schema.org specs for LocalBusiness, Service, FAQPage, AggregateRating.
Bing / ChatGPT Index Check
site: queries run in Bing. Bing Webmaster Tools submission status checked. Domain confirmed indexed or flagged for submission.
NAP Audit
Business name, address, and phone cross-referenced across Google Business Profile, Yelp, Facebook, and 8–10 industry-specific directories. Inconsistencies documented.
robots.txt Review
robots.txt fetched directly and reviewed for bot-specific rules. AI crawler user agents (OAI-SearchBot, GPTBot, ClaudeBot, PerplexityBot, ChatGPT-User, Bingbot) checked for access.
Baseline Measurement Protocol
Before any implementation: queries documented with screenshots, server logs checked for crawler visits, GBP Insights screenshotted. Forms the baseline for the 30-day re-audit.

04

What you receive.

Every engagement ends with a branded PDF report tied to measurable outcomes. Citation rate, crawler access, indexed content, NAP consistency, schema coverage, and a prioritized remediation roadmap. The 30-day re-audit documents the before-and-after.

Critical

3 blocking fixes

Rendering, schema, indexing path. Nothing else takes effect until these are live.

High

5 direct-impact fixes

robots.txt, NAP standardization, GBP optimization, crawler content, llms.txt.

Medium

4 long-term plays

Directory citations, review templates, badge cleanup, Apple Business Connect.

Sample taken from a real Sparkbilt client audit. Specifics vary by industry and current state.

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Case study: RISE Studios.

RISE Studios

Weymouth, MA • Audited April 2026

First Sparkbilt engagement. Premier recording studio serving Greater Boston. 30-day re-audit pending May 2026. Before-and-after numbers fill in next month.

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Baseline Citation Rate

20 queries across 3 platforms

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Words Crawled

What AI bots see today

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Critical Fixes

Blocking all other progress

Diagnosis: RISE Studios' site is rendered entirely via JavaScript. AI crawlers do not execute JavaScript. When they visit, they receive a 47-word HTML shell with no room descriptions, no service detail, no location data, nothing to extract or cite. The fix is a Cloudflare Worker that detects bot user agents and serves pre-rendered, structured HTML directly. Every other AEO fix is blocked until that lands.

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Common questions.

What is Answer Engine Optimization?

Answer Engine Optimization (AEO) is the practice of making a business discoverable and recommendable inside AI assistants like ChatGPT, Claude, Perplexity, Google AI Overviews, and Microsoft Copilot. It combines technical SEO, schema markup, content engineering, citation building, and review management. Most local businesses are optimized for traditional Google search but invisible to AI systems, which are increasingly how people find local services.

Why does AEO matter for a local business right now?

Gartner projects that roughly 25% of organic search traffic will shift to AI assistants. For a local query like "plumber near Quincy MA", the AI considers a small pool of sources before citing 1–3. That makes the work to enter and survive the citation cut unusually tractable for local businesses, and the businesses that move first take the seats.

How fast does AEO work show up?

Most technical work shows measurable citation improvement in 3–6 weeks. Schema and Google Business Profile changes propagate within days. Authority and review effects compound over 3–6+ months. Some directory cleanup takes longer and is partially out of our control, and I will tell you that up front.

Can you actually prove the work worked?

Yes. Same 20 queries, same 5 AI platforms (ChatGPT, Claude, Perplexity, Gemini, Copilot), run before and 30 days after, side by side. Plus crawler logs showing OAI-SearchBot, ClaudeBot, and PerplexityBot literally fetching your new pages. Plus indexing dashboards from Bing Webmaster Tools and Google Search Console. Lead-source attribution is genuinely fuzzy in AEO and I will not pretend otherwise.

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Want to know if AI mentions your business?

We'll run a free audit across ChatGPT, Claude, Perplexity, Gemini, and Copilot, and tell you honestly whether AEO is worth your time right now.