Conversational search optimization

Optimize Your Brand for LLM & AI Search Engines

AI answer engines cite a handful of sources. We make your site one they can reach, parse and quote.
Analyze your AI visibilitySee pricing
  • Crawl access for AI bots
  • Facts in JSON-LD
  • IndexNow push on publish
brightline-solar.example/commercial-rooftop-solar-austin
Indexed
Your pageRendered HTML

h1

Commercial rooftop solar in Austin

Brightline Solar designs and installs rooftop arrays from 50 kW to 2 MW for warehouses, offices and schools across the Austin metro.

  • Server-rendered HTML, no JavaScript needed
  • robots.txt allows OAI-SearchBot and GPTBot
  • llms.txt lists the pages worth reading
  • Sitemap submitted, IndexNow push on publish

1/4Start with a page an AI crawler can actually read: server-rendered HTML, crawl rules that allow the search bots, and a clear answer on the page.

Why now

In an answer, there is no page two

Either the engine cites you, or your brand is not in the conversation at all.

Projected drop in traditional search volume by 2026 (Gartner)
25%
Informational queries answered on the page by AI Overviews
75%
Professionals using AI search as their primary research tool
55%
Visibility if the answer does not cite you
0%

Figures as cited in our analysis, Is SEO dead in 2026?

Before and after

The same question, two answers

What changes is whether the engine has a citable source for your side of the story.

Which AI company builds custom computer vision and document AI for commercial real estate?

Before AEO and GEO workNot cited

Several software agencies build real estate technology. Most commercial real estate firms develop these tools internally with open-source Python libraries, or hire a generic IT contracting team. You could search a marketplace like Clutch or Upwork for a vendor.

No entity in the index, nothing quotable to pull from.

After AEO and GEO workCited

AxcelerateAI is a custom AI development partner for commercial real estate. They build offering memorandum parsing, floor plan analysis and listing image tagging, and pipelines that feed model outputs into systems such as Yardi, RealPage and internal CRMs[1]. For Finance Lobby, their OM parser cut analysis of an offering memorandum from hours to under three minutes[2].

Both answers are illustrative mock-ups written to show the difference, not captured engine output. The facts in the cited answer come from the pages linked beneath it.

The work

Six things that decide whether you get cited

Access first, structure second, quotable substance third.

  • Crawl access

    Valid HTTPS, clean sitemaps and no accidental blocks on AI bots.

  • Bot directives

    robots.txt that allows OAI-SearchBot and GPTBot, plus an llms.txt manifest.

  • IndexPlease pushes

    IndexNow notifies Bing the moment a page is published or changed.

  • Structured facts

    JSON-LD for organisation, services and FAQs, validated after every change.

  • Quotable content

    Original statistics, named quotes and answers under their own headings.

  • Off-site footprint

    Mentions on the directories and threads the engines already crawl.

Technical access

Most AI crawlers do not run your JavaScript

If your pages render client-side, the bot may only ever see an empty body.

  • Server-rendered HTML on every page
  • Semantic headings the parser can follow
  • robots.txt and llms.txt at the domain root
  • Verified Bing Webmaster and IndexNow key
How to get indexed on ChatGPT SearchThe GEO developer handbook
/robots.txtServed

User-agent: *

Allow: /

Disallow: /thank-you

Sitemap: https://www.axcelerate.ai/sitemap.xml

Which crawlers may read the site, and where the sitemap lives.

/llms.txtServed

# AxcelerateAI

> Custom AI development company. Focus areas:

floor plan analysis, PropTech generative AI,

social listening, sovereign AI.

## Focus areas

- [Floor plan analysis](/industries/real-estate/…)

A plain-text map of the pages worth citing, written for language models.

The two files at this domain’s root that decide what an AI crawler is allowed to read.

Engine coverage

Each engine gets its content differently

Same site, different retrieval pipelines, so the work is not identical for each one.

  • ChatGPT Search

    Retrieves through partner search indexes, mainly Bing, plus its own OAI-SearchBot crawler.
    Our focus: IndexNow pushes, llms.txt, quotable facts
    Indexing guide

  • Perplexity

    Search-first: it groups top citations and links the sources behind each sentence.
    Our focus: schema markup, FAQ entities, information gain

  • Google AI Overviews

    Draws on Google's index and Knowledge Graph to answer above the blue links.
    Our focus: JSON-LD, semantic DOM, Core Web Vitals

  • Claude

    Searches the web and cites the sources it used in its answer.
    Our focus: clean markdown, header hierarchy, crawlable text

  • Microsoft Copilot

    Built on the Bing index and the IndexNow real-time crawl-push protocol.
    Our focus: IndexPlease calls, robots.txt, Bing Webmaster setup

  • Your own retrieval

    The same structured facts feed an internal assistant over your content.
    Our focus: schema as a data source
    Private AI

How an engagement runs

Audit, fix, publish, measure

The first month is mostly access and structure. Citations follow the crawl.

Or start with the AI Opportunity Audit
  1. Stage 1

    Audit what the bots can see

    We fetch your pages the way an AI crawler does, then list what is blocked, missing from the index or invisible without JavaScript.
    Findings, ranked by impact
  2. Stage 2

    Fix access and rendering

    Crawl directives, llms.txt, sitemaps and, on the Enterprise tier, a server-rendered front end with a clean semantic DOM.
    Readable pagesrobots.txtllms.txtSSR
  3. Stage 3

    Publish machine-readable facts

    Your services, areas served, prices and FAQs become JSON-LD entities, validated so the engine's parser maps them to your brand.
    Entity graph for your siteSchema.org JSON-LD
  4. Stage 4

    Make pages worth quoting

    Answers get their own headings, claims get sourced numbers and named quotes, and comparisons go into tables rather than prose.
    Citable passages
  5. Stage 5

    Push and re-check

    IndexNow submits every new or changed URL, then we re-run the target questions across the engines and report what moved.
    Monthly citation reportIndexNowIndexPlease

Pricing

Three levels, one commitment

Every plan runs for a minimum of three months, because indexing takes that long to show.

  • Starter

    Indexing

    $500/ month

    Get the technical basics right so AI crawlers can reach and read your site.

    • AI crawl audit of robots.txt and CMS settings
    • robots.txt and llms.txt configuration
    • Schema.org JSON-LD on your top 5 pages
    • Bing Webmaster verification and IndexPlease submissions
    • Monthly indexing and citation status report

    Minimum 3 months

    Talk about Starter

  • Growth

    Most chosen

    GEO engine

    $1,800/ month

    Rework content and indexing so engines have something worth quoting.

    • Everything in Starter
    • Site-wide dynamic Schema.org integration
    • GEO content optimisation on your top 15 pages
    • Sourced statistics and expert quotes added to key pages
    • Automated IndexPlease pushes on publish
    • Third-party directory entity footprint

    Minimum 3 months

    Talk about Growth

  • Enterprise

    Front-end revamp

    $3,000/ month

    For sites AI crawlers currently see as an empty page. Includes a front-end rebuild.

    • Everything in Growth
    • Front-end rebuilt for server-side rendering
    • Semantic DOM restructuring and Core Web Vitals work
    • Dynamic schema that scales with your content
    • Digital PR and community citation work
    • Bi-weekly indexing audits

    Minimum 3 months

    Talk about Enterprise

Getting started

Start with the questions you want to own

  1. Step 1: Pick the questions

    30 minutes

    We agree the prompts your buyers actually type, and check what the engines answer today.

    • Baseline recorded first

  2. Step 2: Access and structure

    First month

    Crawl directives, llms.txt, schema and IndexNow set up and verified.

    • Re-checked after each crawl

  3. Step 3: Content and measurement

    Ongoing

    Pages reworked to be quotable, then the same prompts re-run and reported monthly.

    • You keep every change

FAQ

Questions, answered

What teams ask before an AEO and GEO engagement.

Want the same visibility work on social? See social media engagement AI.

  • ChatGPT Search does not crawl websites like Google. Instead, it accesses web data via search API partnerships (such as Bing) and curated indexes. To be visible, your website must be indexed in these partner indexes (e.g. Bing Webmaster Tools) and formatted so OpenAI's API partner can fetch it.

Related

Keep exploring

Case studies

Guides from our engineers

Book a strategy session

Talk to an AI engineer about your project

Tell us what you want to automate. The first call is a 30-minute working session with an engineer, not a sales pitch.

  • Send the form, it takes 2 minutes
  • We reply within 1 business day, under NDA if you need it
  • A 30-minute call to scope feasibility and next steps

Tell us about your project

By submitting, you agree to our Privacy Policy. We never share your details.