Shape what AI says about your brand.
ChatGPT, Gemini, Perplexity and Copilot don't invent their opinion of you — they assemble it from what the web says: press, reviews, forums, directories and reference sites. Our AI brand mentions service builds a consistent, credible footprint across those sources, so AI describes you accurately, positively and often.
AI Overview visibility (Ahrefs)
& digital PR
on DesignRush
AI is already describing you. Is it right?
Ask an assistant "What is [your brand] known for?" or "Is [your brand] any good?" and you'll get a confident summary. It may be accurate. It may be three years out of date, built on one angry forum thread, or confused with a similarly named company.
- Outdated positioning and pricing
- A single old complaint treated as consensus
- Competitor recommended instead
- Current facts from your own site
- Recent, broad review sentiment
- Independent coverage reinforcing your position
Illustrative examples. "yourbrand", prices and sources are placeholders.
The difference between those two answers rarely comes down to your product. It comes down to evidence: how many independent, recent sources describe you, how consistently they describe you, and whether your own site states the facts plainly enough for an engine to quote. Brands that leave this to chance end up defined by whatever happens to be indexed — an old listing, a competitor's comparison page, one frustrated customer.
And because buyers increasingly ask AI to sanity-check a vendor before they ever call, a wrong or lukewarm summary costs you deals you'll never know you were considered for. Shaping AI brand perception is reputation management for that invisible moment.
For AI, what's said about you outweighs who links to you.
Language models learn associations from text. The more often credible, independent sources mention your brand in the context of your category, the more naturally a model connects the two.
Ahrefs analysed 75,000 brands and compared which off-site factors correlated with how often each brand appeared in Google's AI Overviews. Branded web mentions — including unlinked ones — showed the strongest relationship. Classic backlink counts were among the weakest.
Correlation isn't causation, and big brands naturally score well on everything. But the direction matches how these systems work, and it's why we treat mentions, not just links, as the core currency of AI visibility.
Source: Ahrefs, "An Analysis of AI Overview Brand Visibility Factors (75K Brands Studied)", 2025
Correlation with AI Overview brand visibility
Correlation coefficients, 75,000 brands (Ahrefs, May 2025)
Six workstreams that change the story AI tells.
We start by finding the sources AI engines already use for your category, then improve your presence on them — honestly, and in ways that also help human buyers.
Unlinked mention discovery
We find where you're already discussed without a link or with wrong details — articles, roundups, podcasts, directories — and correct facts or request attribution where it's genuinely useful to readers.
Digital PR
Data-led stories, expert commentary and founder perspectives placed in trade and national publications. Original research is especially effective — it gets referenced repeatedly. Pairs with citation optimization.
Review platforms
A steady flow of genuine, recent reviews on the platforms engines cite in your space — Google, G2, Capterra, Trustpilot, Clutch, industry sites — plus public responses to criticism.
Community presence
Transparent, helpful participation on Reddit, Quora and niche forums by real, identified people from your team. No sock puppets, no fake "customer" posts.
Wikipedia & Wikidata
Honest notability assessment, accurate Wikidata entries where they qualify, and policy-compliant, disclosed edit requests when existing articles contain errors.
Entity consistency
One version of the truth — name, description, founders, locations, pricing, category — across your site, schema, Google Business Profile, LinkedIn, Crunchbase and directories.
Source mapping: where to earn mentions first
Not every mention is equal. A quote in the trade publication that Perplexity cites for half your category questions is worth more than ten generic directory listings. Before any outreach, we run your category prompts across engines, collect every cited URL and group them by type. The pattern differs a lot by industry — a B2B software category may lean on review platforms and analyst-style roundups, while a local service category leans on maps listings, local press and community threads.
| Source type | Role in AI answers | How we build presence |
|---|---|---|
| Trade & national press | Establishes who the credible players are; frequently cited for "best" and "top" questions. | Data-led stories, expert commentary, founder interviews, reactive PR on industry news. |
| "Best of" roundups & comparisons | Often the single biggest input for shortlist prompts. | Identify the roundups engines cite, then pitch for fair inclusion with evidence and access to the product. |
| Review platforms | Supplies sentiment and the qualifiers AI repeats ("easy to use", "pricey"). | Ongoing review requests from real customers, complete profiles, public responses. |
| Reddit, Quora & forums | Supplies "real user" opinions and edge cases; strongly represented in many engines' sources. | Transparent expert participation and monitoring of threads about your category. |
| Reference & knowledge bases | Helps engines identify and disambiguate your entity. | Accurate Wikidata where eligible, consistent business profiles, Organization schema with sameAs links. |
| Your own site | The source of truth for prices, features and facts when engines search live. | Clear facts, pricing and comparison pages — see AI citation optimization. |
B2B & SaaS
Review platforms, comparison roundups and "alternatives to" content shape most shortlist answers.
E-commerce & D2C
Product reviews, gift guides, creator coverage and community threads drive recommendations.
Local businesses
Google Business Profile, local press, directories and neighbourhood forums carry the most weight.
Professional services
Expert bylines, awards, client reviews and industry body listings signal trust.
Earn the conversation. Never fake it.
Forums and review sites carry real weight in AI answers — Reddit, for example, has content partnerships with both Google and OpenAI. That makes them tempting to game. It's also exactly why gaming them backfires.
What we do
- Identify threads where your expertise genuinely helps
- Coach named staff to answer openly, disclosing their role
- Follow each community's own rules on self-promotion
- Run compliant review-request flows after real purchases
- Respond publicly and constructively to criticism
What we refuse
- Fake accounts or "customer" posts written by staff
- Vote manipulation or coordinated upvoting
- Buying, writing or AI-generating reviews
- Incentives tied to positive sentiment
- Threats or pressure to remove honest negative reviews
These aren't just our preferences. Reddit's content policy bans content manipulation, including spam and vote manipulation, and the US FTC's 2024 rule prohibits fake reviews — explicitly including AI-generated ones — as well as reviews bought for positive sentiment and review suppression.
Sources: Reddit Content Policy · FTC, Aug 2024 · CNBC on Reddit–OpenAI deal, May 2024
Find out what AI is telling your buyers.
We'll ask ChatGPT, Gemini, Perplexity and Copilot about your brand and category, flag every inaccuracy and negative theme, and trace each one to its likely source. Free and confidential.
The most misunderstood lever in AI visibility.
Wikipedia and Wikidata are widely used as reference sources, and a clean entry helps machines identify who you are. But both have strict community rules, and agencies that ignore them put your brand at risk. Here's the accurate picture.
Notability comes first
A company qualifies for an article only if it has received significant coverage in multiple reliable, independent, secondary sources. Press releases, paid placements, routine announcements and self-published material don't count. Many good businesses simply aren't notable yet — and that's fine.
Conflict of interest rules
Paid editors are "very strongly discouraged" from editing articles directly and should propose changes on the article's talk page instead. Wikimedia's Terms of Use require anyone paid to contribute to disclose their employer, client and affiliation. Undisclosed paid editing can lead to blocks and public tagging of the article.
Sources: Wikipedia: Conflict of interest · Paid-contribution disclosure
Structured facts for machines
Wikidata is a structured knowledge base: your official name, website, founding date, headquarters, industry and identifiers, stored as machine-readable statements with references. It's commonly used to disambiguate entities.
It has its own notability bar
An item generally qualifies if it has a link to a Wikimedia page (such as a Wikipedia article), refers to a clearly identifiable entity that can be described using serious, publicly available references, or fills a structural need in Wikidata. Statements need references, and the paid-disclosure rules in Wikimedia's Terms of Use still apply.
Source: Wikidata: Notability
We will
- Give you an honest notability assessment
- Help you earn the independent coverage that notability requires
- Prepare disclosed, sourced edit requests to fix factual errors in existing articles
- Advise on accurate, referenced Wikidata items where you qualify, with disclosure
- Align your schema sameAs links with these entries
We won't
Write promotional articles, edit covertly, use sock-puppet accounts, or promise a Wikipedia page. If anyone guarantees you one, walk away — it's the fastest route to deletion and a public conflict-of-interest tag on your brand.
When AI gets you wrong, fix the source.
You can't edit ChatGPT's answer directly. You can change what it reads and learns from. This is our playbook for inaccuracies and hallucinations.
Capture the error systematically
Run branded prompts repeatedly across engines and log every incorrect claim — wrong price, discontinued product, wrong founder, confusion with another company, invented features.
Find where it comes from
For search-grounded answers, the cited URLs usually reveal it. For model-only answers, we search for the claim across the web: old press releases, scraped directories, review snippets, outdated pages on your own site.
Fix the source of truth
Update or redirect your own outdated pages, correct directory and profile listings, ask publishers to update factual errors, and publish a clear, crawlable "facts about us" page with Organization schema.
Outweigh the error
Fresh, consistent mentions of the correct facts in independent sources, so that retrieval and future model versions see the right version far more often than the wrong one.
Use feedback tools, then verify
Submit feedback through each product's built-in feedback options where available, then re-test on a schedule. Search-grounded engines often update within weeks; model memory can take until the next major release.
Common causes we find
Name collisions with another company, legacy pricing pages still indexed, old acquisitions or rebrands not reflected in profiles, aggregator sites scraping years-old data, and a single viral complaint that dominates thin coverage.
For serious harm
If an AI answer makes defamatory or dangerous claims, document it with screenshots and dates and involve your legal team; providers have reporting processes for harmful content. We support with evidence and source correction.
Watch your reputation where buyers now form it.
Classic social listening tracks what people post. AI brand monitoring tracks what machines conclude — the summary a buyer sees before they ever reach your site.
Sentiment by engine
Positive, neutral and negative descriptions across ChatGPT, Gemini, Perplexity, Copilot and AI Overviews, trended monthly.
Recurring themes
The phrases AI repeats about you — "affordable", "complex to set up", "great support" — and the sources behind them.
Accuracy checks
Claims compared to your fact sheet, with errors logged and tracked to resolution.
Alerts
Notifications when a new negative theme, competitor comparison or factual error appears in answers.
Monitoring runs on the same infrastructure as our AI visibility tracking service, so sentiment sits alongside mention rate, share of voice and citations in one report.
A clear process from audit to authority.
Perception audit
Weeks 1–2. Branded and category prompts across engines; sentiment, accuracy and competitor comparison; full source map of what AI cites about you.
Foundation fixes
Weeks 2–6. Facts page, schema, profile and directory clean-up, outdated-page fixes, review-request flows, Wikidata and Wikipedia assessment.
Mention building
Month 2 onward. Digital PR campaigns, expert commentary, original research, listicle and roundup inclusion, community participation.
Monitor & adjust
Monthly. Re-test prompts, report sentiment and accuracy, retire tactics that don't move the numbers, scale ones that do.
Deliverables
- AI perception audit with source map and competitor comparison
- Brand fact sheet and "about us" facts page, with Organization schema
- Entity clean-up log across profiles and directories
- Monthly PR placements and mentions earned, with URLs
- Review programme set-up and response templates
- Community participation guidelines for your team
- Accuracy and sentiment report by engine, every month
Expertise is the best PR asset
Journalists and AI engines both reward people who know things. We turn your team's knowledge into commentary, data stories and bylined pieces — the mentions that last. Explore related approaches in our GEO case studies.
PR, SEO and reputation under one roof.
AI brand perception sits between departments — PR, SEO, content, customer success. We bring them together.
- Digital PR in-house. Our PR and link-building teams already earn coverage for clients across 98+ industries.
- Search fundamentals since 2008. Entity, schema and technical work done by people who've practised SEO for over seventeen years.
- Ethics you can defend. No fake reviews, no astroturfing, no covert Wikipedia edits — nothing that would embarrass you if it were reported.
- Engine-aware. The work feeds directly into ChatGPT SEO, Gemini SEO and Perplexity SEO.
AI brand mentions, answered.
What are AI brand mentions?
AI brand mentions are the times AI assistants and answer engines — ChatGPT, Gemini, Perplexity, Microsoft Copilot, Google AI Overviews — name your brand in their answers, and how they describe it. They're shaped by what the wider web says about you: press coverage, reviews, community discussions, reference sites and your own website.
Do unlinked brand mentions really matter?
For AI, yes. Language models learn from text, not just links. Ahrefs' study of 75,000 brands found branded web mentions correlated more strongly with AI Overview visibility than backlink counts did. Correlation isn't proof of cause, but it matches how these systems learn associations.
Can you get my company a Wikipedia page?
Nobody can ethically promise that. Wikipedia requires significant coverage in multiple reliable, independent sources, and paid editors must disclose and should propose changes rather than edit directly. We assess notability honestly, help you earn genuine coverage, and help prepare disclosed edit requests to correct errors in existing articles.
Should we create a Wikidata entry?
If your organisation meets Wikidata's notability criteria — for example, it can be described using serious, publicly available references — an accurate, referenced entry can help machines identify you correctly. Paid contributions should be disclosed under Wikimedia's Terms of Use. We'll advise whether you qualify.
Is posting about our brand on Reddit allowed?
Participating openly as an identified representative is generally fine if you follow each subreddit's rules on self-promotion. Fake accounts, posing as customers and vote manipulation break Reddit's content policy and can get you banned — and screenshotted. We only support transparent participation.
ChatGPT says something wrong about us. How do we fix it?
Find and correct the sources behind the claim — outdated pages, directories, old articles — publish clear current facts on your site with schema, build fresh consistent mentions, and use the product's feedback tools. Search-grounded answers can update within weeks; what a model has learned may only change with a new model version.
How long does it take to change what AI says about us?
Corrections to sources that engines search live can show up within weeks. Building enough independent coverage to shift an engine's overall view of your brand usually takes several months of consistent PR, reviews and community work.
Will you write reviews for us?
No. Fake and AI-generated reviews are prohibited under the FTC's 2024 rule in the US and violate review platforms' policies everywhere. We set up compliant systems to ask real customers for honest reviews and to respond well to all feedback.
How do you measure success?
We track mention rate, share of voice, sentiment and accuracy across engines for a fixed set of branded and category prompts, alongside earned media placements and review volume. You see month-on-month change against your competitors.
Keep exploring generative engine optimization
Every AI platform rewards slightly different signals. Dive into the playbook for each one — or let our GEO team run all of them for you.
Find out what ChatGPT, Gemini & Google AI say about you today.
Tell us your website and top competitors. Within 3 business days a GEO strategist sends you a personal AI visibility report — no generic PDF, no sales script.
- Share-of-voice snapshot across ChatGPT, Gemini, Perplexity, Copilot and Google AI Overviews
- Prompt-level gaps where competitors are named and you aren't
- Citation sources each AI engine leans on in your category
- A prioritised 90-day GEO plan you can run in-house or with us