For years, companies focused heavily on ranking on Google for keywords such as “best accounting software,” “top marketing agencies,” or “AI consulting firms.” Today, people are increasingly asking AI search engines the same questions and expecting a direct, useful recommendation rather than a page of blue links.
Perplexity is one of the platforms driving this change.
A user might ask:
“What are the best SEO agencies for a B2B SaaS company in the US?”
Instead of simply returning traditional search results, Perplexity can research multiple sources, summarize information, cite references, and help the user compare options.
That creates a new opportunity for businesses:
How do you increase the likelihood that Perplexity discovers, understands, cites, and potentially recommends your company?
There is no guaranteed method to make an AI search engine recommend a particular business. You cannot simply submit a website and expect it to appear in every relevant answer.
However, you can build the signals that make your company easier for AI systems to discover, understand, verify, and reference.
First, Understand What “Appearing in Perplexity” Actually Means
There is an important distinction between traditional SEO rankings and AI search visibility.
On Google, businesses often focus on ranking a particular URL for a particular keyword.
With Perplexity and similar AI answer engines, visibility can happen in several ways.
Your company may:
- Be cited as a source.
- Be mentioned in an answer.
- Appear in a comparison.
- Be included in a list of recommended companies.
- Be referenced because another trusted website discusses your company.
- Be discovered through information distributed across multiple sources.
That means your goal shouldn’t simply be:
“Rank my homepage.”
A better goal is:
“Make my company a credible, well-documented answer to the questions my target customers are asking.”
That requires a broader strategy.
1. Start With the Questions Customers Actually Ask
One of the biggest mistakes companies make is optimizing exclusively around their own product terminology.
Customers don’t always search using the language your marketing team uses.
For example, an AI strategy consultancy might describe its service as:
“Enterprise Generative AI Transformation Consulting.”
A potential customer might ask:
“Who can help us decide which AI projects are worth building?”
Those are two very different phrases describing essentially the same need.
Start by building a list of real customer questions.
For example:
- Who are the best AI consultants for startups?
- Which agencies specialize in AI product strategy?
- What are the best AEO agencies in the United States?
- Who can improve our visibility in AI search?
- What companies help brands appear in ChatGPT recommendations?
- Which SEO firms understand generative search?
- How can a B2B company improve AI search visibility?
These questions can become the foundation of your AI-search content strategy.
2. Create Pages That Directly Answer Those Questions
AI search systems need understandable information.
If a page is vague, overly promotional, or buried beneath generic marketing language, it becomes harder for an AI system to determine exactly what the company does.
Instead of creating a homepage that simply says:
“We deliver innovative digital solutions for forward-thinking businesses.”
Explain precisely what you do.
For example:
“Linkingrow helps businesses improve their online authority and visibility through strategic link building and digital PR.”
Then explain:
- Who you serve.
- What problems you solve.
- Which services you provide.
- What industries you work with.
- What makes your approach different.
- What outcomes customers can expect.
- How your process works.
- What evidence supports your claims.
Clarity is valuable for both human readers and AI systems.
3. Build Topic Authority, Not Just Individual Pages
One article is unlikely to establish a company as an authority on an entire subject.
Think in terms of topic coverage.
Suppose your company wants to become visible for questions around AI search optimization.
You could create useful resources covering:
AI Search Fundamentals
- What is AI search?
- How does generative search work?
- How is AI search different from traditional SEO?
- What is answer engine optimization?
Perplexity Visibility
- How does Perplexity discover websites?
- How can businesses improve Perplexity visibility?
- How does citation visibility work?
- What makes a source useful to AI search engines?
ChatGPT and AI Recommendations
- How do AI models recommend companies?
- How can businesses improve brand visibility in ChatGPT?
- What influences AI-generated recommendations?
- How should companies measure AI visibility?
Practical Implementation
- AI search optimization checklist
- AEO content strategy
- AI visibility audit
- Brand entity optimization
- Digital PR for AI search
This creates a much stronger topical footprint than publishing dozens of unrelated SEO articles.
4. Make Your Company Easy to Understand
AI systems need to connect entities.
If your website says one thing, LinkedIn says another, industry directories describe you differently, and third-party articles use different company names, your digital identity becomes harder to interpret.
Make your core information consistent.
Use the same:
- Company name
- Website
- Description
- Product/service terminology
- Founder or leadership information
- Industry classification
- Location information
- Contact information
where appropriate.
This isn’t about repeating the exact same paragraph everywhere.
It’s about establishing a consistent identity across the web.
For example, if Linkingrow is positioned as a digital PR and link-building company, your website, social profiles, industry profiles, and third-party mentions should reinforce that identity naturally.
5. Earn Mentions From Other Websites
This is one of the most important parts of AI visibility.
Your website saying:
“We are one of the best agencies in the industry.”
is a company claim.
An independent publication saying:
“Linkingrow is a notable provider of…”
is third-party evidence.
Those are fundamentally different signals.
AI systems can draw information from the broader web, so companies should think beyond their own websites.
Potential sources include:
- Industry publications
- Business publications
- Relevant blogs
- Professional organizations
- Review platforms
- Expert interviews
- Podcasts
- News coverage
- Partner websites
- Industry directories
- Research publications
- Conference websites
The goal isn’t to manufacture hundreds of mentions.
The goal is to build credible, relevant evidence that your company exists and is associated with a particular area of expertise.
6. Don’t Treat Link Building as a Numbers Game
Getting 1,000 irrelevant backlinks isn’t necessarily better than earning 10 strong, relevant editorial mentions.
For AI-search visibility, relevance matters.
Imagine two websites.
Website A has thousands of low-quality links from unrelated directories.
Website B has mentions from respected publications within its industry, along with useful content and consistent company information.
Website B has created a much stronger credibility story.
This is where modern link building increasingly overlaps with digital PR.
Instead of asking:
“How many backlinks can we get?”
ask:
“Which websites would make our company more credible if they referenced us?”
That is a much better strategic question.
7. Publish Original Information
AI-generated content has made generic articles extremely easy to produce.
That makes genuinely useful information more valuable.
If your website simply rewrites information already available on 50 other websites, there may be little reason for another system to treat it as a particularly valuable source.
Try creating information that others can reference.
For example:
- Original research
- Industry surveys
- Customer studies
- Benchmark reports
- Proprietary data
- Expert interviews
- First-hand case studies
- Statistical analyses
- Original frameworks
- Detailed experiments
A strong research report can generate citations, backlinks, social discussion, and editorial mentions simultaneously.
That can create a much stronger visibility footprint than another generic “10 Tips for SEO” article.
8. Write for Humans First
There is a temptation to write content specifically for AI crawlers.
Don’t.
The best approach is to create genuinely useful information for people.
Use:
- Clear headings
- Direct answers
- Specific examples
- Original insights
- Supporting evidence
- Concise explanations
- Descriptive page titles
- Logical organization
Avoid filling pages with awkward repetitions of phrases such as:
“best Perplexity SEO agency,” “Perplexity SEO services,” and “Perplexity optimization agency.”
Keyword stuffing doesn’t make a company more credible.
If your content is genuinely useful, it becomes easier for both people and search systems to understand.
9. Use Structured Data Where Appropriate
Technical SEO still matters.
Make sure your website has a sound technical foundation.
Depending on the site, this can include appropriate structured data such as:
- Organization
- LocalBusiness
- Article
- Product
- Service
- Person
- BreadcrumbList
- FAQ-related structured information where appropriate and supported
Structured data doesn’t guarantee that Perplexity will recommend you.
But it can help search engines better interpret what entities and content exist on your website.
Also pay attention to basic technical health:
- Crawlability
- Indexability
- Canonical URLs
- Page speed
- Mobile usability
- Internal linking
- XML sitemaps
- HTTPS
- Clear navigation
AI visibility doesn’t eliminate technical SEO.
It builds on it.
10. Build Strong Internal Links
Internal linking is often overlooked.
Suppose you publish an article about “How to Appear in AI Search.”
That article could naturally link to related resources about:
- Answer Engine Optimization
- Digital PR
- Link building
- Brand authority
- AI search optimization
- SEO strategy
This creates relationships between your content.
Instead of having 50 isolated articles, you create a connected knowledge base.
That is better for users and helps search systems understand the context of your website.
11. Create Comparison and “Best Of” Content Carefully
People frequently ask AI search engines recommendation questions.
Examples include:
“What are the best SEO agencies for SaaS?”
“Which companies offer digital PR services?”
“What are the best link-building agencies in the US?”
Companies understandably want to appear in these answers.
One useful strategy is to create genuinely useful comparison content—but it must be handled carefully.
A page titled:
“Why Our Company Is the Best SEO Agency in America”
is unlikely to be as persuasive as an independently useful guide explaining how buyers should evaluate SEO agencies.
For example:
“How to Choose a Link-Building Agency for a B2B SaaS Company”
could explain:
- What services agencies provide
- How pricing works
- What quality signals to evaluate
- What questions to ask before hiring
- Which metrics matter
- Common red flags
- How to evaluate campaign results
You can mention your own company where relevant, but the article should still provide value without requiring the reader to choose you.
12. Develop a Reputation Beyond Your Website
Your website is only one part of your digital presence.
Think about your company as an entity distributed across the web.
Potential touchpoints include:
Owned media
Your website, blog, case studies, research and resources.
Earned media
Editorial coverage, interviews, press mentions and independent publications.
Professional profiles
LinkedIn and other relevant professional platforms.
Industry platforms
Directories, associations, review sites and specialized communities.
Third-party content
Podcasts, webinars, interviews and expert contributions.
The more consistently these sources describe your company, the stronger your overall digital footprint becomes.
13. Track AI Visibility Instead of Guessing
Traditional SEO provides familiar metrics such as rankings, impressions and clicks.
AI search requires additional measurements.
Create a list of important questions your customers might ask.
For example:
“What are the best link-building agencies for SaaS companies?”
“Who provides digital PR and link-building services?”
“How can a startup improve its authority online?”
Run these prompts periodically across relevant AI search platforms and record:
- Whether your company appears
- How frequently it appears
- Whether it is cited
- Which competitors appear
- Which sources are cited
- How your company is described
- Whether the description is accurate
Don’t treat one answer as definitive.
AI-generated answers can change based on the query, sources available, location, timing, and other factors.
The objective is to identify patterns over time.
14. Improve the Sources That AI Systems Already Cite
Here’s an especially useful exercise.
Suppose you ask Perplexity an important question in your industry.
It gives you an answer and cites five websites.
Study those sources.
Ask:
- Why were these sources useful?
- Are they authoritative?
- Do they contain original information?
- Are they frequently referenced by other publications?
- Are they comprehensive?
- Do they answer the user’s question directly?
Then look for opportunities to produce something better or more useful.
This is more productive than simply copying the wording of the cited pages.
Your goal is to understand what makes a source valuable, then create genuinely stronger information.
15. Avoid Trying to “Hack” Perplexity
There is no reliable shortcut that guarantees recommendations.
Be cautious about anyone promising:
“We can guarantee that Perplexity will recommend your company.”
AI search systems can change their models, retrieval systems, sources, ranking mechanisms, and product behavior.
A sustainable strategy is based on fundamentals:
Useful content + strong reputation + relevant third-party mentions + technical accessibility + clear entity information + genuine expertise.
That approach also benefits Google, Bing, ChatGPT, Gemini, Perplexity, and human buyers.
A Practical 90-Day AI Visibility Plan
For a company starting from scratch, the process doesn’t need to be overwhelming.
Days 1–30: Research and Foundation
Identify 25–50 questions your target customers ask.
Then:
- Audit your website.
- Clarify your company positioning.
- Fix important technical SEO issues.
- Improve service pages.
- Build author and company credibility.
- Identify gaps in your existing content.
- Research competitors appearing in AI answers.
Days 31–60: Content and Authority
Create high-value resources around your most important topics.
Prioritize:
- Original research
- Expert articles
- Detailed guides
- Case studies
- Comparison resources
- Industry insights
- Practical frameworks
At the same time, begin a focused digital PR and relationship-building campaign.
Days 61–90: Measure and Improve
Create a recurring AI visibility test.
Track important prompts and compare your presence against competitors.
Then ask:
- Are we appearing more often?
- Are we being cited?
- Are third-party sources mentioning us?
- Are AI systems describing us correctly?
- Which content is generating references?
- Which topics still have gaps?
Use the findings to refine your strategy.
The Real Goal Isn’t Just Perplexity Visibility
It’s easy to become obsessed with appearing in one AI search engine.
But the bigger opportunity is brand visibility across the emerging AI search ecosystem.
A company with strong authority, useful content, recognizable expertise, relevant third-party coverage, and a consistent digital identity has a better foundation for visibility across multiple discovery systems.
That includes traditional search engines, AI answer engines, social platforms, and increasingly, AI-powered recommendation experiences.
So don’t build your strategy around one platform.
Build a brand that is easy to discover, easy to understand, easy to verify, and worth recommending.