As synthetic images, deepfakes and manipulated content become harder to distinguish from reality, PR and marketing professionals must learn not only how to create compelling stories, but how to verify the stories attached to the images they encounter.
The PR Profession is Entering a New Age of Verification
For decades, public relations was built around a relatively straightforward proposition: organisations created messages, journalists mediated them, audiences received them, and PR professionals managed the relationships among these actors. This writer and several PR practitioners played around this circuit for years.
But the emergence of AI and other technologies is now disrupting this communication architecture. Today, an image can be created in seconds. A photograph can be altered without obvious traces. A real photograph can be detached from its original context and attached to an entirely different event. A fabricated image can acquire credibility simply because thousands of people have shared it. A genuine image can become misinformation when accompanied by a false caption. This creates a new professional problem for public relations.
The question is now simply changing from, “How do we get our client’s story into the media?” to “Can we establish that the visual evidence circulating around our client is authentic, accurately contextualised and trustworthy?” This is where Google’s experimental Backstory tool becomes significant.
Introduced by Google DeepMind as an experimental AI tool, Backstory is designed to help users investigate the context and origin of images encountered online. Given an image and a written prompt, it can investigate whether the image was AI-generated, identify previous online uses, examine whether it has been digitally altered and provide information about how its story may have changed over time.
For PR and marketing communication professionals, that is potentially more important than another AI tool for writing press releases or generating campaign images. The future of communication will require verification intelligence.
Backstory Changes the Question from “Is it Fake?” to “What is its Story?”
One of the most important insights behind Backstory is that AI generation and trustworthiness are not the same thing. An image can be completely authentic and still be misleading.
Consider a hypothetical example involving a Nigerian bank. A photograph of a long queue outside one of its branches begins circulating on social media with the caption: “Customers rush to withdraw their money as confidence in the bank collapses.” The photograph may be genuine. But perhaps it was actually taken three years earlier during a system outage. Or perhaps the queue was created by customers waiting to collect debit cards. Or perhaps it came from another bank altogether. An AI detector that answers only “real image” has not solved the communications problem.
Backstory’s more holistic approach is therefore instructive. DeepMind explicitly notes that understanding whether an image is AI-generated is different from determining whether the information associated with it is trustworthy. The tool combines detection technologies with contextual information, including metadata and evidence about how an image has appeared online. This is a profound conceptual shift.
The future of media verification is moving from authenticity detection towards contextual intelligence
That has direct implications for PR. Traditional media relations taught PR professionals to monitor newspapers, television, radio and later digital platforms for mentions of their organisations. The AI era requires something more sophisticated. A corporate affairs team may now have to monitor not only what journalists are saying about a company but also what images, videos, synthetic media and AI-generated narratives are circulating around it.
Imagine an airline facing a crisis after an alleged aircraft incident. Within minutes, photographs purporting to show the aircraft could circulate on X, TikTok, Facebook and WhatsApp. Some may be genuine. Some could be old. Some could have been manipulated. Others could be entirely AI-generated. The communications team’s first responsibility cannot be to write a denial. It must first establish what is true.
This creates a new category of professional capability that could reasonably be described as AI-assisted reputation intelligence. The PR professional increasingly becomes part storyteller, part analyst, part investigator and part information-verification specialist. That is a substantial evolution of the profession.
Why Nigerian PR Practitioners Should Pay Particular Attention
Nigeria operates in an information environment characterised by extremely rapid social sharing, strong influencer cultures, fragmented media consumption and widespread use of messaging platforms. This creates enormous opportunities for brands. It also creates enormous reputational vulnerabilities.
A false image of contaminated food could damage an FMCG company before its communications department has finished investigating the allegation. A fabricated photograph showing a bank branch on fire could trigger panic. An altered image involving a political candidate could influence public perception before fact-checkers have established its provenance. A fake photograph attributed to a telecommunications company could create a customer-service crisis. A manipulated photograph of an industrial facility could affect investor confidence.
For Nigerian businesses, therefore, AI-powered image verification should not be regarded as a technology curiosity. It belongs within the emerging architecture of corporate reputation management, crisis communication and digital risk management. The strategic question for agencies such as PR firms, advertising agencies and integrated marketing communication companies is whether they are prepared to make verification part of their professional offering.
The new PR toolkit: creation and verification
The traditional communications toolkit has expanded dramatically. It once consisted principally of media databases, press releases, media monitoring, events, stakeholder engagement and crisis plans. Digital media introduced social listening, analytics, influencer management, search optimisation and online reputation management. Generative AI introduced automated content creation, synthetic imagery, personalised content and AI-assisted research. The next layer is content provenance and verification.
Backstory is one expression of this emerging ecosystem. It should, however, be understood alongside other technologies rather than treated as a universal solution. Google’s SynthID, for example, embeds imperceptible digital watermarks into AI-generated content and can help identify content generated through Google’s AI systems. OpenAI is also developing provenance mechanisms using C2PA Content Credentials and SynthID, while its verification tool allows users to check supported images and audio for provenance signals associated with OpenAI tools.
C2PA is particularly important because it approaches the problem through provenance: establishing information about where media originated and how it was created or edited. OpenAI explains that the standard uses metadata and cryptographic signatures to help information about media travel with the content. The emerging landscape therefore contains several complementary approaches: Detection asks: Was AI involved? Provenance asks: Where did this content originate? Context analysis asks: How has this content been used? Human verification asks: What does the evidence actually mean? The sophisticated PR practitioner will increasingly need to understand all four.
A Case Study for Crisis Communication
Consider a hypothetical consumer brand operating across Nigeria and Ghana. A photograph appears online showing what appears to be one of the company’s products contaminated with a foreign object. The image attracts thousands of views and several influencers begin discussing the alleged incident.
The old PR response would be straightforward: contact the influencer, issue a statement, brief journalists and perhaps begin a legal process. The AI-era response should begin differently. The crisis team should preserve the original image, investigate its provenance, establish where it first appeared, examine whether it has appeared previously, compare the visual evidence with known product packaging, investigate metadata where available, and determine whether the image has been digitally altered.
Only then should the company decide whether it is confronting a genuine product-safety incident, misinformation, malicious manipulation or an unrelated image being falsely associated with its brand. This is not merely a technology issue. It is a decision-quality issue. The better the evidence available to the communications team, the better the organisation’s response.
The Implications for Advertising and Marketing
Advertising agencies should pay equally close attention. Generative AI has dramatically lowered the cost of producing visual concepts. Campaign teams can now generate multiple creative directions, environments, characters and product scenarios at extraordinary speed. But the same technology that makes production cheaper also makes visual deception cheaper.
Brands therefore face an interesting paradox: AI increases creative abundance while simultaneously increasing the cost of establishing trust. A brand may produce a beautiful AI-generated campaign image. But consumers may ask whether the people represented actually exist, whether the setting is authentic, whether the product performs as represented and whether the image has been manipulated.
Consequently, provenance may eventually become part of brand value. The strongest brands of the future may not simply say: “Here is our content.” They may increasingly be able to say: “Here is where this content came from, how it was produced and what has been changed.” That is a fundamentally different conception of brand transparency.
The African Opportunity
For Africa, this emerging technology presents both a defensive and developmental opportunity. African markets have often had to confront information asymmetry: consumers may have limited access to reliable information, while businesses and governments operate within complex and fragmented information environments.
AI-enabled verification could strengthen journalism, corporate communications, election monitoring, consumer protection, financial communications and public-sector communication. For African PR agencies, this could also become a new professional service. An agency that develops expertise in AI misinformation monitoring, synthetic-media verification, digital provenance and crisis intelligence could offer something considerably more valuable than conventional media monitoring.
It could help multinational companies entering African markets assess the credibility of visual information circulating around their brands. It could help African companies entering international markets protect their reputations. It could help governments and development organisations respond more intelligently to manipulated information during emergencies.
In that sense, the opportunity is not simply to consume Western AI tools. African communication professionals can develop African expertise around AI-mediated information environments.
The Academic Implication: PR Education Must Change
This development should also concern universities. Much PR education remains organised around established distinctions between media relations, public affairs, corporate communication, crisis communication, event management and community relations. Those disciplines remain relevant. But their technological environment has changed.
A contemporary PR curriculum should expose students to AI literacy, digital provenance, synthetic media, misinformation, OSINT principles, social listening, data analytics, algorithmic communication and information verification. A future Nigerian PR graduate should be able to understand not only how to construct a persuasive message but also how to interrogate the evidentiary environment surrounding that message.
That is particularly important because the profession is becoming increasingly data-driven. The PR practitioner who understands communication theory but cannot interpret data will struggle. The practitioner who understands AI but does not understand ethics, persuasion, culture and human behaviour will also struggle. The future belongs to the professional who can combine technology, evidence, communication strategy and human judgement.
Why Backstory Should Not Become Another “Magic Button”
There is a temptation whenever a new AI tool appears to treat it as the answer to a complex problem. That would be a mistake. Google itself describes Backstory as experimental and emphasises that technological solutions are not a “silver bullet”. It argues that maintaining information integrity requires collaboration among technology companies, researchers, governments, civil society and other stakeholders.
This caution is essential. An image with no detected AI signal is not automatically true. An image carrying an AI provenance signal is not automatically deceptive. AI can support professional judgement. It cannot replace professional responsibility. That distinction should become one of the central ethical principles of AI-enabled public relations.
The new professional ethic: create responsibly, verify rigorously
The deeper significance of Backstory is therefore not the tool itself. It is the professional philosophy behind it. Public relations has always been concerned with relationships, reputation and trust. AI is now changing the information environment in which those relationships exist.
When synthetic media becomes indistinguishable from ordinary photography, trust can no longer depend exclusively on the authority of the communicator. It increasingly depends on the ability to establish provenance, context and evidence.
This means the PR profession is moving into an era in which communication competence will have two dimensions. The first is the traditional ability to create meaning. The second is the emerging ability to interrogate meaning. For Nigerian and African practitioners, that is not a peripheral skill. It could become a competitive advantage in the global communication economy.
BrandiQ Takeaway
Backstory should not be understood merely as another AI tool to add to a PR practitioner’s laptop. It represents something more important: the emergence of verification as a professional communication capability.
The PR agency of the future will need creative strategists who can generate compelling narratives, data analysts who can measure their impact, crisis specialists who can protect reputation and AI-literate practitioners who can investigate the information environment in which those narratives circulate. For marketing communication professionals, the lesson is simple: AI will make content easier to create. That will make trust harder to earn.
The organisations that understand this early will not merely use AI to communicate faster. They will use AI, provenance technology and human judgement to communicate with greater evidence, accountability and credibility. And that may ultimately be the most important competitive advantage in the communication industry of the AI age.
