Home / Services / AI and Answer Engine Visibility
AI & Answer Engine Visibility

Be the brand AI names and recommends.

Your buyers now ask ChatGPT, Perplexity and Google's AI who to hire before they ever open a results page. LYNX is the answer engine optimization agency that gets your brand cited in those answers, and recommended over the competition.

The Oracle, an 8-bit arcade fortune-teller machine for AI visibility
Consult it below

LYNX SEO is an answer engine optimization (AEO) and AI visibility agency. We get your brand cited and recommended by the AI answer engines your buyers now use first: ChatGPT, Perplexity, Gemini and Google AI Overviews. The work combines entity optimization, quotable answer-first content, structured data, technical access for AI crawlers, and the third-party authority these models trust, and then we track your share of model over time. Ranking on Google still matters, but being the name inside the AI answer is what wins the buyers who never scroll to a list of links.

See it in action

Ask the machine who it recommends.

This is how AI answers when a buyer asks who to hire. Pick your world and the Oracle shows an example answer, the kinds of sources it leans on, and who owns the share of model. Your real standing across the engines comes from a full audit.

THE ORACLE Share of model
ChatGPT Perplexity Gemini AI Overviews
 
SHARE OF MODEL
who AI names in this answer
Pick a question shape, add your industry, and consult the Oracle for an example readout.
Example readout for illustration. Your real share of model comes from a full LYNX audit.
How AI decides who to recommend

The five rules of the machine.

AI answer engines do not rank ten links, they synthesize one answer from a few sources they trust. These are the signals that decide whether your brand is one of them, and each is a lever we pull.

RULE 01

Be the clearest answer

Be the passage the model quotes.
Tap to see why →

Models lift self-contained passages that answer a question directly. Structure a page as a clear question and a tight, factual answer and it becomes the part the model quotes.

Why it wins: your words become the answer buyers see first.
RULE 02

Be a clear entity

Be unmistakable to the machine.
Tap to see why →

AI maps the web as entities and their relationships. Consistent facts, Organization and sameAs schema, and profiles like Wikidata make you unambiguous.

Why it wins: the model names you instead of skipping an unknown.
RULE 03

Be corroborated

Be backed up by everyone else.
Tap to see why →

Models trust claims echoed across independent sites, not just your own. Earned press, reviews and mentions are that corroboration.

Why it wins: it is the signal rivals cannot fake, and it tips you from listed to recommended.
RULE 04

Be reachable

Be readable by the crawler.
Tap to see why →

Content behind heavy JavaScript, blocks or slow loads may never be read. HTML-first pages, schema and clean access make you machine-readable, and since ChatGPT leans on Bing, Bing indexing counts too.

Why it wins: it makes you eligible to be cited at all.
RULE 05

Be current

Be the freshest source.
Tap to see why →

Answers favour sources that look maintained, and updated dates influence what gets pulled into a response.

Why it wins: staying current keeps you in the answer instead of a rival who refreshed theirs.
What is included

Everything it takes to become the answer.

A complete answer engine optimization program, from the baseline audit to the ongoing work that keeps you named as engines change.

01

AI visibility audit & baseline

We map the buyer questions that matter, then measure where you are cited today across ChatGPT, Perplexity, Gemini and AI Overviews, and who is named instead of you.

02

Entity & knowledge-graph optimization

We make your brand an unambiguous entity: consistent facts everywhere, Organization and sameAs schema, and the Wikidata, Crunchbase and profile signals models read.

03

Quotable content engineering

Answer-first pages written to be lifted fragment by fragment, structured around the real questions your buyers ask AI, not stuffed with keywords.

04

Structured data & AI access

Schema, HTML-first rendering, a clean llms.txt, and Bing indexation so the crawlers behind ChatGPT and the others can actually read and trust your pages.

05

Third-party authority & digital PR

The corroboration models weigh most: independent placements, expert mentions and reviews across the sites AI already treats as sources in your category.

06

Share-of-model monitoring

Ongoing tracking of how often each engine cites and recommends you, by query and by engine, with clear reporting on the trend and the next moves.

Why this is different

Ranking on Google is not the same as being the answer.

A link on page one

Ranked, but skipped

You hold a spot in the blue links, but AI answers the question above them and the buyer never scrolls. Being a citation at the bottom of the page is not being the recommendation, and it does not fill your pipeline.

The name in the answer

Named, and chosen

Engineered to be the brand AI states and recommends, so you are one of the two or three options the buyer actually considers, at the exact moment they are deciding who to hire.

Flagship case study

From invisible to the first name AI gives.

A B2B SaaS brand, one AEO engagement, twelve months. It ranked fine on Google but never showed up when buyers asked AI for a recommendation. We changed which name the machine says first.

B2B SaaS ClientSaaS · answer engine optimization
Share of model
4% → 38%
AI-cited queries
+540%
AI referral sessions
+612%
ChatGPT category answer
Now named
Queries citing the brandAI referral sessions
The Challenge
  • Solid Google rankings, but absent from AI answers for its own category
  • Competitors were the default names in ChatGPT and Perplexity
  • No entity clarity and no third-party corroboration for the models to trust
The Results
  • Entity, schema and quotable content rebuilt around real buyer prompts
  • Share of model climbed from 4% to 38% across the tracked query set
  • Queries citing the brand up 540%, with a six-week lag before the ramp
  • AI referral sessions up 612% as the citations turned into visits
  • Now named in the first line of ChatGPT's answer for its category
How we work

Audit, engineer, amplify, compound.

STEP 01

Audit & baseline

Map the buyer prompts that matter and measure your current share of model across every engine.

STEP 02

Engineer

Fix the entity, build quotable answer-first content, and ship the schema and access that let AI read and trust you.

STEP 03

Amplify

Earn the third-party mentions and reviews that corroborate you across the sources AI already pulls from.

STEP 04

Compound

Track citations by engine and query, double down on the prompts you win, and hold the ground as engines change.

0
AI engines we optimize for and monitor
ChatGPT, Perplexity, Gemini, AI Overviews
0-12 wks
typical window to the first new AI citations
ChatGPT leans on Bing, which takes time
0%
share of model reached for a SaaS client, up from 4%
Across the tracked query set
+0%
more queries citing that brand in AI answers
Twelve-month engagement
Why LYNX

Who else could get you into the answer?

Pick the alternative you would otherwise reach for. See where the gaps open up.

Capability
LYNX SEO
In-House / DIY
Answers

AI visibility questions.

Contact LYNX SEO

Ready to be the answer?

Tell us your brand and your market. We come back with your current share of model across the major AI engines, and the fastest way to get named, no obligation.

Please enter your name.
Please enter a valid email.
Please enter your website.
Please give us a bit of context.

No obligation. A real person replies, usually within one business day.

Request received.

Thanks. We will map your AI visibility and get back within one business day.