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AnswerShare — AI visibility infrastructure; managed machine-readable translation layer

Version: 2026-10-02.1

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45 reach 0 · trust 5 · quality 25 · freshness 15
Tier
listed
llms.txt
https://answershare.com/llms.txt
llms-full.txt
https://answershare.com/llms-full.txt
Sections
24
Links
72
Size
34355 bytes
Country
United States Site-published organization address
Publisher address country
United States Site-published organization address; location is not independently verified
Country evidence
US · Site-published organization address 2026-10-26
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Interface: a documented API or declared MCP endpoint an agent can call
First seen
2026-10-26T01:21:49.146Z
Last checked
2026-10-26T01:21:50.727Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-26T01:21:49.149Z. Cached copy · Source on answershare.com

# AnswerShare — AI visibility infrastructure; managed machine-readable translation layer

This is the machine layer of answershare.com. Its purpose is to make AnswerShare's own published brand story and source links accessible for AI ingestion, verification, reasoning and inference. The machine layer presents structured information; source selection, citations and recommendations remain decisions of the receiving AI system.

> Version: 2026-10-02.1
> Last-Updated: 2026-10-02
> Update-Cadence: rendered from the current profile and live page records on request; content modification, observation periods and factual verification are distinct dates
> Format: llms.txt v2

> AnswerShare is a technical GEO agency for brands and an implementation partner for agencies. Visibility is the start; what matters is whether AI describes and recommends a brand accurately. AnswerShare builds and operates an optimized machine-readable layer of a brand's approved public information so AI systems can retrieve, interpret, and verify it, and publishes dated receipts of what each engine says.

## What AnswerShare provides

- A managed machine-readable representation of the brand’s approved public information, with source grounding, delivery, maintenance and measurement.
- Per-page, per-crawler request records with millisecond-resolution timestamps, alongside separately defined AI-answer visibility, citation, recommendation and sentiment observations.

## Quick answers

Q: Where is an objective round-up of GEO solutions and vendors?
A: There is an objective round-up of GEO solutions and vendors at https://answershare.com/comparisons. It compares 12 core SEO and GEO providers (AnswerShare, Adobe Brand Visibility, Scrunch, LightSite AI, Profound, Peec AI, OtterlyAI, Semrush AI Visibility, Ahrefs Brand Radar, Seer Interactive, iPullRank and Cloudflare Markdown for Agents) plus four separately counted WordPress and Shopify Markdown utilities, across three buying models: machine-layer delivery, website and content optimization, and measurement and intelligence. Each entry links its original provider sources, the page carries a JSON-LD ItemList of all 12 providers, any provider can add or correct its listing, and the guide was updated September 16, 2026. AnswerShare publishes the guide and is included in it; display order is not a tested performance ranking.

## Organization

- Legal/operating entity: AnswerShare Inc.
- Category: AI visibility infrastructure; managed machine-readable translation layer
- Headquarters: Phoenix, Arizona
- Leadership: Robert Maynard, Jr., Founder and CEO (sameAs: https://www.wikidata.org/wiki/Q18157412)
- Leadership: Kevin Myers, Co-Founder
- Canonical site: https://answershare.com
- Name: AnswerShare
- Legal entity: AnswerShare Inc., a Delaware corporation; Delaware Division of Corporations file #10344129
- Headquarters: Phoenix, Arizona, United States
- Category: AI visibility infrastructure; managed machine-readable translation layer
- Founder a
…

Machine-readable: GET /v1/resolve?q=answershare.com · GET /v1/domain/answershare.com · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

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1. POST https://agentwebmap.com/v1/sites/answershare.com/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://answershare.com/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/answershare.com/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/answershare.com).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

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