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Ranking Your Website & Brand on ChatGPT


Ranking on ChatGPT is a meaningful goal for businesses, but it often requires an additional layer of framework beyond traditional search optimization. 

The data is stark, as ChatGPT reached 900 million weekly active users by early 2026, according to OpenAI’s figures, making it the fastest-growing platform in internet history.

While Google remains the top platform for web traffic, sending approximately 190 times as much referral traffic to websites as ChatGPT (per Ahrefs), both platforms matter.

The following guide outlines how to go about ranking your website and brand on ChatGPT.


Ranking Your Website on ChatGPT (Blog Cover)

Key Takeaways:


  • ChatGPT prioritizes brands based on mentions across credible platforms
  • Several tactics produce the most consistent results for businesses: accumulating reviews across multiple platforms, earning brand mentions in third-party content, and being indexed in Bing search results
  • ChatGPT and Google AI Overviews are distinct systems with different data sources and optimization logic; tactics that work for one do not automatically transfer to the other
  • ChatGPT refers significantly less website traffic than standard Google search results; visibility in ChatGPT responses is more of a brand awareness and trust signal than a direct traffic channel
  • These tactics produce limited results for businesses with no existing digital footprint, no reviews, or no indexable website content

Understanding How ChatGPT Ranks Content

ChatGPT does not rank websites the way Google does. It prioritizes brands, businesses, and sources when constructing responses, using a set of signals that extend beyond traditional search ranking factors.

For businesses, the practical goal is a consistent appearance in ChatGPT responses to queries that lead to new customers.


The signals ChatGPT weighs when deciding which businesses to surface include:


  • Brand Mentions: Consistent references to your business across credible third-party platforms, including directories, review sites, news coverage, and industry publications. SEO researcher Rand Fishkin has argued that brand mentions are becoming a more reliable indicator of authority than backlinks in the AI-driven search landscape, as they reflect genuine conversation about a brand rather than link acquisition.
  • Relevance: Match between your business’s documented services and the semantic meaning of the user’s query, including location signals for local service queries.
  • Reviews: Verifiable customer feedback on platforms such as Google Business Profile, Yelp, and TrustPilot. According to a study reported by Search Engine Journal, domains with active profiles on multiple review platforms averaged 4.6 to 6.3 ChatGPT citations, compared to 1.8 for domains without such profiles.
  • Source Authority: ChatGPT weights its training data by credibility. Content from established reference sources, industry publications, and platforms with high domain authority is more likely to influence responses than content from low-authority or thin sites.
  • Weighted Training Data: ChatGPT’s responses draw on training data, with more credible and frequently-cited sources receiving greater weight in how the model understands a category or business.
  • Jobsite Documentation: Based on DataPins’ analysis of contractor client sites, geo-tagged job documentation published directly on a contractor’s website functions as a location and service signal that ChatGPT can identify and surface in responses. (See Tactic 6 for full disclosure on this claim.)

Every ChatGPT user receives a different response. Visibility in ChatGPT is less consistent than a Google ranking position, and results will vary by user location, query phrasing, and session context.


ChatGPT vs. Google AI Overviews: Key Differences

FactorChatGPTGoogle AI Overviews / AI Mode
Primary data sourceTraining data + real-time Bing index (via OAI-SearchBot)Google’s own Search index via RAG (retrieval-augmented generation)
Query behaviorRewrites user queries into targeted sub-queries; partners with third-party search providersGenerates concurrent fan-out queries from Google’s index
Local business dataPulls from third-party mentions, review platforms, and crawlable web contentPulls directly from Google Business Profile as primary data source
Optimization foundationBrand mentions, review platform presence, crawlable contentFoundational SEO: Google Search Central confirms AI Overviews are rooted in core Search ranking systems
Referral trafficLow: Traditional Google Search sends 190x more traffic to websites (Ahrefs, February 2026)Low: Only 4.5% of AI Mode sessions result in a click (iPullRank, July 2025)
Primary optimization leversThird-party brand mentions, review profile diversity, Bing optimizationGoogle and GBP optimization, Third-party brand mentions, Entity depth

6 Proven Ways to Rank on ChatGPT Search


1) Allow ChatGPT to Crawl Your Website

Crawlability is the foundation of ChatGPT visibility. OpenAI operates three distinct crawlers, each with a different function, according to OpenAI’s official crawler documentation. GPTBot collects content for model training. 

OAI-SearchBot indexes content for ChatGPT’s search features. ChatGPT-User accesses specific pages during real-time user-initiated browsing sessions. Each can be controlled independently through your robots.txt file.

For most websites, no additional configuration is needed. ChatGPT can access publicly available content through its crawlers unless your robots.txt file explicitly blocks them. 

While real-time browsing can sometimes execute scripts, OpenAI’s bulk indexing and training crawlers generally do not execute JavaScript. If your site relies heavily on complex client-side frameworks, critical text may be invisible to them.

Regarding llms.txt files: Google Search Central’s official documentation explicitly states that llms.txt files neither help nor harm visibility in Google Search or its AI features. 

A study cited by Search Engine Land found that having an llms.txt file did not measurably improve citation rates across 300,000 analyzed domains. Based on the available data, llms.txt implementation is not a priority.


2) Pursue Authentic Brand Mentions

Brand mentions are the primary authority signal for ChatGPT visibility, replacing the role that backlinks have historically played in traditional search. 

SEO researcher Rand Fishkin has argued that in the AI-driven search landscape, mentions across the web are a more accurate measure of brand trust than link acquisition. 

According to Profound’s citation research, Reddit is the second most-cited domain in ChatGPT responses globally, behind Wikipedia. 

OpenAI has a data licensing agreement with Reddit that grants ChatGPT direct access to Reddit’s content for training and generating responses.

Businesses should pursue brand mentions in third-party articles, local business directories, and industry publications. 

List-format articles such as “best pest control companies in [city]” are particularly high-value targets because when ChatGPT trains on these articles, the listed businesses become part of its base knowledge for that service category and location.

As a note of caution, seeking inauthentic brand mentions is something Google’s documentation has warned against, and it is unlikely to remain a positive AI ranking signal in the future, based on DataPins’ practitioners’ experience with previous algorithm and product updates.

When seeking list-based brand mentions from credible publishers, your goal is to promote your business on its merits rather than offering money or reciprocation.

Brand mentions can also arise organically through active community participation and a consistent social media presence across platforms where your business is publicly discussed.


3) Publish AI-Friendly Web Content

The content practices that earn visibility in ChatGPT responses overlap significantly with foundational SEO. 

Google Search Central’s official AI optimization guide confirms that its AI features, including AI Overviews and AI Mode, are built on the same core ranking systems as Google Search, using retrieval-augmented generation (RAG) to pull relevant content from indexed pages. 

The same principle applies to ChatGPT: content that is clear, well-structured, and directly responsive to user intent is more likely to be retrieved and cited.

For businesses, this means service pages and project documentation should open with a direct answer or description, use descriptive headings, and avoid burying the core claim in contextual framing. 

Content that provides a unique point of view or documents real job experience outperforms generic service descriptions in AI retrieval because it offers something the model cannot reconstruct from common knowledge alone.

Keyword stuffing, hidden links, and other pre-2020 SEO practices actively reduce AI retrievability and should be eliminated if still present on any business site.


4) Manage Reviews and Reputation

ChatGPT relies on review platforms to verify a business’s credibility before surfacing a business in its responses. Google Business Profile, Yelp, Better Business Bureau, and TrustPilot are the platforms with the strongest documented influence on AI citation behavior. 

According to a study published on Search Engine Journal, domains with active profiles on multiple review platforms are approximately 3 times more likely to be cited by ChatGPT than businesses without them.

Accumulating reviews across multiple platforms is more effective than concentrating all feedback on a single platform. 

Responding to every review, positive or negative, signals active business management and produces additional indexed content associated with your business name.

If your business does not yet have listings on major review platforms, creating accurate, complete profiles is the highest-leverage action available for improving ChatGPT visibility.


5) Participate in Online Discussions

ChatGPT retrieves real-time web content through OAI-SearchBot when formulating responses to queries, according to OpenAI’s official documentation.

High-ranking threads on Reddit and Quora appear in those real-time retrievals and influence the final response. 

According to Profound’s analysis of over 4 billion AI citations (referenced earlier), Reddit is the most-cited source across major AI platforms, and Wikipedia and Reddit hold the top two citation positions within ChatGPT.

Businesses can influence how their business category is discussed by participating directly in relevant threads. 

This participation must be genuine and add value to the discussion. Forum communities identify and remove promotional or inauthentic posts, which eliminates any visibility benefit and can damage brand reputation on the platform.

This tactic is more effective for businesses in markets where service category discussions already appear in search results.

If Reddit or Quora threads about your trade or city are not currently surfacing in Google or Bing search results, forum participation is unlikely to produce meaningful ChatGPT visibility in the short term.


6) Showcase Jobsite Documentation

Publishing documentation of completed jobs directly on your website is a tactic that differentiates contractor sites from generic service pages in AI retrieval. 

Based on DataPins’ analysis of contractor client sites, tools that generate geo-tagged job pins, consolidated jobsite check-ins, images, schema markup, location coordinates, and service descriptions produce content signals that AI systems can identify and cite.


Disclosure: DataPins produces the jobsite documentation tool described in this section. The observations above reflect DataPins’ analysis of its own client data, not independent third-party research.


Pin-based responses help ChatGPT describe a specific service performed at a specific location, rather than returning generic SEO copy. This specificity improves both citation likelihood and the quality of how a contractor’s business is represented in the response.


ChatGPT Pin Context in AI-Generated Response

Tracking and Measuring ChatGPT Traffic

ChatGPT does not provide a publisher dashboard or referral analytics tool. Measuring its impact requires indirect methods.

The most reliable approach is UTM tracking through Google Analytics 4. Using Google’s Campaign URL Builder, create a tracked URL with the following parameters:


ParameterValue
Sourcechatgpt
Mediumreferral
Campaignchatgpt_mention

After setup, navigate to Acquisition reports in GA4 and filter by these UTM parameters to isolate ChatGPT-attributed sessions. 

Some traffic will be misattributed or lost because not all ChatGPT responses generate clickable links to source pages. This method captures a floor estimate, not a complete count.


Google Campaign URL Builder Example

When ChatGPT Optimization Produces Limited Results

These tactics are not equally effective for every business. ChatGPT optimization produces limited or delayed results in the following conditions:


No existing digital footprint. A business with no indexed website, no review platform profiles, and no third-party mentions gives ChatGPT nothing to retrieve. Crawlability and review accumulation must come before any other tactic produces results.


Highly localized or rural markets. ChatGPT’s citation behavior is influenced by the volume of existing web content about a service area. Businesses in markets with little existing digital content about local services will find fewer opportunities to be cited, because the model has less training signal for that geography.


New businesses. ChatGPT’s training data skews toward established entities with a documented history across multiple platforms. A business with fewer than a handful of reviews and no third-party mentions will not outperform established competitors in AI responses regardless of on-site optimization.


Transactional emergency queries. A homeowner with a burst pipe is more likely to search Google than ask ChatGPT. Emergency and high-urgency service queries still route predominantly through traditional search. ChatGPT visibility is more relevant to research-phase queries (“best plumber in Denver”) than to immediate-need queries (“plumber open now”).


51 Social Proof Statistics for 2025 (with/Marketing Examples)


Job photos, award badges, online reviews, and user-generated content are all forms of social proof.

The term social proof was first coined in 1984 as a psychological and social phenomenon where people conform to the actions of those around them to try and conform to a behavior that they believe fits the situation.

Today, the term has evolved to mean something slightly different: online consumers gauge the trust and credibility of a website, business, or brand based on its social engagement and perception.


In an age of highly targeted digital advertising, social proof presents a much-needed dose of authenticity in which opinions about a business are formed based on others’ genuine experiences.


To showcase how significantly social proof impacts businesses and digital marketing campaigns in 2025, we’ve compiled an array of updated social proof statistics:


Social Proof Statistics (Blog Cover)

Key Social Proof Statistics

1) Consistent social proof can increase revenue by 62% per customer.

2) 92% of consumers hesitate to buy when no customer reviews are available.

3) 88% of consumers trust user reviews as much as personal recommendations.

4) 79% of consumers watch video testimonials to learn more about a brand or product.

5) 50% of consumers find website trust badges reassuring regarding trust and security.


Online Reviews Statistics

6) 68% of buyers say positive reviews make them more likely to use local businesses.

7) 33% of customers always read online reviews when searching for a local business.

8) 87% of consumers would not consider a business with less than a 3-star average rating.

9) 57% of consumers will only buy or use a business service with at least a 4-star rating.

10) 97% of consumers say online reviews help them decide what to buy.

11) 85% of consumers think online reviews older than 3 months aren’t relevant.

12) 45% of consumers are likelier to shop with a business that responds to negative reviews.

13) Customers are willing to spend 31% more on a business with excellent reviews.

14) 76% of consumers are “always” or “regularly” reading online reviews.

15) The average consumer reads ten online reviews before purchasing.

16) A one-star increase in Yelp rating leads to a 5-9% increase in revenue.

17) 58% of shoppers choose pricier products due to better reviews.

18) Products with 5+ reviews sell 270% more than those without.

19) 50% of consumers visit a website after reading a positive review.

20) 66% of consumers say positive user reviews are the most important when purchasing.


User-Generated Content Statistics

21) 84% of consumers place greater trust in brands who use UGC in their marketing campaigns.

22) 75% of marketers believe user-generated content makes their marketing more engaging.

23) 56% of consumers prefer user-generated photos and videos from brands.

24) 37% of consumers say user-generated content is more authentic than branded content.

25) UGC increases web conversion by 29%.

26) UGC-based ads reduce cost per click by 50%.


Social Media Statistics

27) Over 90% of consumers use social media for purchasing guidance.

28) 39% of consumers have bought products online after seeing influencers use them.

29) Businesses earn $6.50 per $1 spent on influencer marketing.

30) 66% of consumers are influenced by other customers’ social media posts.

31) 71% of customers are likelier to purchase based on a social media referral.

32) 44% of consumers list social media video shorts as their preferred product medium.

33) 13% of customers will share a negative purchase experience with 15+ people.


Trust Signals Statistics

34) Reviews on a website’s homepage influence 86% of consumers.

35) Website images with human beings can increase conversion rates by 48%.

36) Testimonials can increase conversions by 34%.

37) Articles with relevant images receive 94% more views.

38) Photos can increase content recollection by 65%.

39) 52% of consumers are influenced by media mentions.

40) Consumers spend 25% more on trustworthy brands.


Product and Service Research Statistics

41) 87% of buying decisions begin with online research.

42) 82% of Americans seek recommendations from friends and family before purchasing.

43) 92% of B2B buyers are more likely to buy after reading a trusted review.

44) 54% of consumers research visual proof of a product or service before purchasing.

45) Other customers’ experiences influence 74% of consumers.


Local SEO Statistics

47) 5-star aggregate review ratings for GMB listings increased CTR by 28%.

48) Websites with multiple pin pages get 80.9% more Google clicks than those with one.

49) DataPins users that utilize automated review requests increase frequency by over 94%.

50) 78% of local searches result in a purchase.

51) Businesses with a Google Business Profile increase consumer consideration by 50%


Social Proof Examples

The key to website-based social proof is credibility and verification, whether a customer review, an award badge, or a geotagged photo of your company providing services.

Below are some tangible examples of social proof on a business website:


Social Proof Marketing Examples (Infographic)

Customer Reviews

Most websites have a testimonials or reviews section. However, the feedback only qualifies as social proof if it comes from a verifiable source. 

For example, a screenshot of a customer review is not social proof because the web admin can manipulate the photo to serve an agenda.

Consider using a plugin like DataPins, which inserts a reviews slider onto your website. 


The slider plugin pulls Google and Facebook reviews via API so users can see genuine reviews from top platforms and click them. 


Reviews Social Proof Example

Award Badges

If you receive an award, the platform should provide a custom badge that you can upload to your website’s homepage using its HTML. 

In addition, the nominator should send you a transparent image file, usually in SVG format. Ask your web developer to insert the image onto your site.

Awards can come from various sources. However, the best social proof comes from reputable institutions within your industry or region.


For example, a roofing company in Denver, CO, should showcase awards from roofing-related institutions or regional and local organizations.


Awards Social Proof Example

Brand Videos

Videos are vital for building trust with consumers, as evidenced by the numerous statistics on video’s influence.

Considering this, filming, posting, and embedding branded video content (both shorts and long-form) that includes your staff and work is integral to social proof.

Upload your video content on all major social media platforms, including YouTube, TikTok, Instagram, and Facebook.


Embed your YouTube videos onto your website so visitors can access the content and gain trust in your brand.


Video Social Proof Example (Screenshot)

Project Gallary

Showcasing recent jobs or projects your business performs in a gallery is a form of social proof on a website. 

Much like reviews, project highlights are more valuable when validated by credible information, which is where a tool like DataPins can help.

DataPins converts your project information into consolidated local SEO signals, including schema markup, geo-coordinates, images, descriptions, and mini-maps.


This added information gives search engines and their users more context regarding the project, leading to more engagement and credibility.


Pins Social Proof Example

Applying Social Proof to Your Marketing Campaign

These statistics reveal that social proof, such as online reviews, social media mentions, award badges, and user-generated content, significantly influences consumer behavior.

In addition, social proof also impacts search ranking visibility, creating a multi-faceted boost in your impressions and conversion rates.

However, statistics are only valuable if you can put them into action. 


At DataPins, we developed software that automates social proof for small businesses through local SEO and reputation management.

Business owners can use the DataPins app to convert recent projects into SEO-friendly social proof on their websites.

Also, the DataPins app features automated review requests through SMS and email to drive more reviews and enhance reputation.


To learn more about how DataPins inserts social proof onto your business website, call 800-775-1250.


Study: Zip Codes in SEO Titles Have Limited Impact


As the founder of DataPins – a Local SEO software designed to boost rankings in specific cities, towns, and zip codes- I’ve tested every Local SEO tactic in the book, including inserting zip codes into SEO titles.

Zip codes in SEO titles were used relatively often, starting around 2013 and gradually becoming less common.

However, the tactic is still used occasionally, especially by contractors who work in expanded service areas.


Zip Code SEO Title (Blog Cover)

What The Data Says About Using Zip Codes in SEO Titles

At DataPins, we took five popular industries (plumbing, roofing, painting, pest control, and electrical) along with ten of the most popular zip codes in the United States to test the impact of this tactic on SEO success.


Zip Codes in SEO Title (Data Chart)

Keyword Volume

We first measured the estimated search volume of keywords, including zip codes, to see if these terms were worth targeting from a traditional SEO standpoint.

Here are the results:


Zip CodePlumberRooferPainterPest ControlElectrician
7993602000
9001100000
6062910000
9065008010
9020101000
77084232701300
9233500000
78521000024
7744910030
7857200000

Out of 50 tested keywords, 11 registered search volumes. Of the 11 with search volume, only five had a search volume above 3.

What this tells us is that users searching for zip code queries is a rare occurrence but does happen from time to time.

At DataPins, we also understand that search volume is an imperfect metric as it is estimated and does not account for nearly 50% of “hidden queries” on Google Search Console.

However, DataPins’ internal data confirms that zip code queries are relatively rare, even in those “hidden terms.”


Keyword Rankings

It’s one thing for users to include zip codes within their search queries, but how Google interprets those queries is another matter.

We know that Google uses Natural Language Processing (NLP) to understand the intent of keywords. As a result, Google may interpret a zip code as the equivalent of a city name since that’s what the user intends to find.

We tested this by measuring the amount of top-10 rankings for these queries that include the zip code within their SEO title.

Here’s what the data says:


QueryTop 10 Rankings with Zip Code in SEO Title
plumber 799360
plumber 900110
plumber 6062910
plumber 906501
plumber 902013
plumber 770841
plumber 923350
plumber 785211
plumber 774490
plumber 785720
roofing 799360
roofing 900110
roofing 606291
roofing 906501
roofing 902017
roofing 770841
roofing 923350
roofing 785210
roofing 774491
roofing 785721
painter 799360
painter 900110
painter 606295
painter 906504
painter 902017
painter 770840
painter 923353
painter 785210
painter 774490
painter 785722
pest control 799360
pest control 900110
pest control 606293
pest control 906501
pest control 902013
pest control 770841
pest control 923350
pest control 785210
pest control 774490
pest control 785720
electrician 799360
electrician 900111
electrician 606295
electrician 906502
electrician 902015
electrician 770840
electrician 923352
electrician 785210
electrician 774490
electrician 785720

Of the 50 test queries, precisely half (25) featured at least one top-10 ranking with a zip code in the title tag. Of those 25 queries, 14 featured more than one ranking with the corresponding zip code.

Yelp results accounted for many of the rankings, leading to inconclusive analysis because of the platform’s premium domain authority, which allows it to rank despite zip code insertions rather than because of them.


Volume and Ranking Correlation

Next, we looked at the correlation between top-10 rankings and search volume for each query.

Here’s what the data says:


QueryVolumeTop 10 Rankings with Zip Code in SEO Title
plumber 7993600
plumber 9001100
plumber 60629110
plumber 9065001
plumber 9020103
plumber 77084231
plumber 9233500
plumber 7852101
plumber 7744910
plumber 7857200
roofing 7993620
roofing 9001100
roofing 6062901
roofing 9065081
roofing 9020117
roofing 77084271
roofing 9233500
roofing 7852100
roofing 7744901
roofing 7857201
painter 7993600
painter 9001100
painter 6062905
painter 9065004
painter 9020107
painter 7708400
painter 9233503
painter 7852100
painter 7744900
painter 7857202
pest control 7993600
pest control 9001100
pest control 6062903
pest control 9065011
pest control 9020103
pest control 770841301
pest control 9233500
pest control 7852100
pest control 7744930
pest control 7857200
electrician 7993600
electrician 9001101
electrician 6062905
electrician 9065002
electrician 9020105
electrician 7708400
electrician 9233502
electrician 78521240
electrician 7744900
electrician 7857200

No clear correlation emerged within the data regarding a zip code’s search volume and top 10 rankings. 

For example, the highest volume query, “pest control 77084,” only produced one top-10 ranking with the zip code in the title tag, while the one search volume, “plumber 60629,” had the most top-10 rankings (10).

Multiple queries with zero registered search volume had numerous top-10 rankings. Conversely, several queries with registered search volume lacked any top-10 rankings.


Other Considerations

Google is a powerful machine with complicated AI-driven algorithms that are much more intelligent than any human test. As a result, each query is unique in Google’s ecosystem, meaning there is no one-size-fits-all answer to an open-ended question. 

With this in mind, it’s essential to consider other factors that influence the impact of zip codes on an SEO title tag.


User Intent

Despite a lack of correlation between registered search volume and top rankings, user intent is a factor in all search queries. This is true not only of zip codes but also of county names, township names, and other local identifiers that may be unique to a region or location.

That’s why contractors looking to succeed with Local SEO should learn the nuances of their service area, the clientele, the culture, and the dialect. Reflecting this knowledge within your web content is the best way to demonstrate a unique local expertise.


Spam and Algorithmic Violation

The greatest potential danger of implementing a wide-ranging zip code SEO strategy is producing spam content and violating Google’s Helpful Content Update algorithm.

Mass-producing location pages for every zip code in your service area violates Google’s Helpful Content guidance, as these pages are produced exclusively for search engines rather than offering unique value to users.

Because cities can have multiple zip codes, producing pages on a zip code basis creates more unhelpful content, increasing the likelihood of your content being filtered as spam.


SEO-Friendly Alternatives

Aside from the negligible benefits of inserting zip codes in a title tag, there are better alternatives for Local SEO. One example is DataPins, which populates location identifiers, including schema markup and geo-coordinates to your site’s most relevant pages.

These local signals come from your real-life jobs, demonstrating social proof of your company’s work in the field. DataPins adds local relevance to existing pages, so they continue gaining unique content based on your performance.


Final Verdict

Like most things in SEO, the answer is “it depends.” However, using zip codes within the SEO title is not a viable strategy at scale. In some cases, zip code insertions in the title can benefit rankings, but they are anecdotal circumstances requiring granular analysis and execution.

The dangers of using a large-scale zip code insertion strategy are clear, as this tactic violates Google’s guidelines and dilutes the value of your site’s content. A better alternative is using DataPins to populate valid location signals onto your pages, using schema markup and geo-coordinates.


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