Wednesday, October 21, 2026

ProfitMaps AI Shows Any Local Business Where Google Maps Can’t Find Them

ProfitMaps-AI-review-oto

ProfitMaps AI is an AI-powered Google Maps rank tracking and local client prospecting platform designed to show where local companies appear in geographic search results. Unlike a traditional rank checker that displays one ranking position, ProfitMaps AI scans multiple locations around a selected company.

It then produces a color-coded grid highlighting where that company appears prominently, where competitors rank higher, and where the company might not appear at all. For example, a plumbing company might appear first when someone searches from a street near its office. However, someone searching from another neighborhood might see that same company in position fourteen.

ProfitMaps AI helps reveal those differences. Its main features include Google Maps geo-grid tracking, competitor comparisons, AI-generated improvement plans, branded reports, local website creation, Google post writing, article generation, and outreach templates.

The app shows the credit cost before you run the scan, so you know what each scan will use. Here is the process step by step.
Step 1: Add a business and a keyword.
Step 2: Run the map scan. The app checks the search from a grid of spots around the business. Basic scans 25 spots (5×5). Pro and the bundles go up to 9×9.
Step 3: Read the map and the competitors. You see the rank at every point, grouped as top 3, 4 to 10, 11 to 20 or not found.
Step 4: Generate the plan, content and sample site. The AI writes an action plan from the scan, then helps you prepare posts, articles and a sample website.
Step 5: Share the report and start the conversation. You can send a report, or email the owner a picture of their ranking, a picture of their sample site and one button to claim it.
The tool helps you find, show and prepare. The outreach, the conversation and the service delivery are still on you. Rankings are checked spot by spot across town. A business can rank #1 at its own address and be invisible a few miles away, and grid scanning exposes that gap. You can see which competitors hold the top spots and where they win. That helps a report explain why a business is hard to find.
Next steps are written from the scan results, such as growing review volume, sharpening the primary category or publishing a local service page. Basic includes a generator for 10 sample sites. A sample website can make a pitch more concrete than a PDF. Local content tools help you prepare posts and articles for the businesses you work with. Interested owners can raise their hand, and the report and claim page give them one clear next step.
The front end includes MCP access for connecting the app to your AI workflow. What stands out is consolidation. Local marketers often juggle separate tools for prospecting, rank checking, competitor research, content, websites, reports and follow-up. ProfitMaps AI tries to bring many of those steps into one workflow, so you spend less time preparing and more time talking to owners…..

Source: ProfitMaps AI 

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Everyday Philosophy: “Should I Hide My Wild Past From My Parents?”

A statue of an authentic marble figure holding a red plastic cup against a black background.

Credit: Adobe Stock / Big Think

I was really taken with this question because I’ve experienced the same thing, but in reverse. I asked my dad three years ago to write an autobiography  an in-house thing for Thomsons to read down the generations. He took to the idea and took to writing. A week later, he called me up and said, “Jonny, I’ve had to stop. I’m worried about what you and others might think of what I’ve done.”Now, my dad is a gentle, kind, and squeaky-clean kind of retiree. He’s an ex-headmaster and psychologist who likes science fiction and golf…….Story continues…

By:Jonny Thomson

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Critics:

Social identity is the portion of an individual’s self-concept derived from perceived membership in a relevant social group. As originally formulated by social psychologists Henri Tajfel and John Turner in the 1970s and the 1980s, social identity theory introduced the concept of a social identity as a way in which to explain intergroup behaviour.

“Social identity theory explores the phenomenon of the ‘ingroup’ and ‘outgroup’, and is based on the view that identities are constituted through a process of difference defined in a relative or flexible way depends on the activities in which one engages.”This theory is described as a theory that predicts certain intergroup behaviours on the basis of perceived group status differences, the perceived legitimacy and stability of those status differences, and the perceived ability to move from one group to another.

 This contrasts with occasions where the term “social identity theory” is used to refer to general theorizing about human social selves. Moreover, and although some researchers have treated it as such, social identity theory was never intended to be a general theory of social categorization. It was awareness of the limited scope of social identity theory that led John Turner and colleagues to develop a cousin theory in the form of self-categorization theory, which built on the insights of social identity theory to produce a more general account of self and group processes.

The term social identity approach, or social identity perspective, is suggested for describing the joint contributions of both social identity theory and self-categorization theory.Social identity theory suggests that an organization can change individual behaviours if it can modify their self-identity or part of their self-concept that derives from the knowledge of, and emotional attachment to the group.

The term ‘social identity theory’ achieved academic currency only in the late 1970s, but the basic underlying concepts associated with it had emerged by the early twentieth century. William G. Sumner, writing in 1906, captures the primary dynamics in this excerpt from his influential work Folkways: A Study of the Sociological Importance of Usages, Manners, Customs, Mores, and Morals: “Loyalty to the group, sacrifice for it, hatred and contempt for outsiders, brotherhood within, warlikeness without,—all grow together, common products of the same situation. …

Men of an others-group are outsiders with whose ancestors the ancestors of the we-group waged war. … Each group nourishes its own pride and vanity, boasts itself superior, exalts its own divinities, and looks with contempt on outsiders. Each group thinks its own folkways the only right ones, and if it observes that other groups have other folkways, these excite its scorn.”

By the late 1920s the collectivist perspective had all but disappeared from mainstream social psychology. Over fifty years later, around the time of the first formal use of the term ‘social identity theory’, Tajfel wrote this on the state of social psychology: “Thus, social categorization is still conceived as a haphazardly floating ‘independent variable’ which strikes at random as the spirit moves it. No links are made or attempted, between the conditions determining its presence and mode of operation, and its outcomes in widely diffused commonalities of social behaviour.

Why, when and how is social categorisation salient or not salient? What kind of shared constructions of social reality, mediated through social categorization, lead to a social climate in which large masses of people feel they are in long-term conflict with other masses? What, for example, are the psychological transitions from a stable to an unstable social system?”  Thus, social identity theory in part reflects a desire to reestablish a more collectivist approach to social psychology of the self and social groups.

Social identity theory states that social behaviour will want a person to change their behaviour while in a group. It varies along a continuum between interpersonal behaviour and intergroup behaviour. Completely interpersonal behaviour would be behaviour determined solely by the individual characteristics and interpersonal relationships that exists between only two people. Completely intergroup behaviour would be behaviour determined solely by the social category memberships that apply to more than two people.

The authors of social identity theory state that purely interpersonal or purely intergroup behaviour is unlikely to be found in realistic social situations. Rather, behaviour is expected to be driven by a compromise between the two extremes. The cognitive nature of personal vs. social identities, and the relationship between them, is more fully developed in self-categorization theory. Social identity theory instead focuses on the social structural factors that will predict which end of the spectrum will most influence an individual’s behaviour, along with the forms that the behaviour may take.

A key assumption in social identity theory is that individuals are intrinsically motivated to achieve positive distinctiveness. That is, individuals “strive for a positive self-concept”. As individuals to varying degrees may be defined and informed by their respective social identities (as per the interpersonal-intergroup continuum) it is further derived in social identity theory that “individuals strive to achieve or to maintain positive social identity”.

The precise nature of this striving for positive self-concept is a matter of debate (see the self-esteem hypothesis). Both the interpersonal-intergroup continuum and the assumption of positive distinctiveness motivation arose as outcomes of the findings of minimal group studies. In particular, it was found that under certain conditions individuals would endorse resource distributions that would maximize the positive distinctiveness of an in-group in contrast to an out-group at the expense of personal self-interest.

Social identity matters because it shapes people’s self-perceptions and interpersonal relationships. Favorable self-perception increases the likelihood that an individual would relate well to other members of the group and experience favorable feelings about themselves. People’s perceptions of themselves are shaped by the group they identify with more strongly. Getting status within the group can make people feel more confident, content, and respected since belonging to that group becomes significant for how they view themselves and their talents.

Building on the above components, social identity theory details a variety of strategies that may be invoked in order to achieve positive distinctiveness. The individual’s choice of behaviour is posited to be dictated largely by the perceived intergroup relationship. In particular the choice of strategy is an outcome of the perceived permeability of group boundaries (e.g., whether a group member may pass from a low status group into a high status group), as well as the perceived stability and legitimacy of the intergroup status hierarchy.

The self-enhancing strategies detailed in social identity theory are detailed below. Importantly, although these are viewed from the perspective of a low status group member, comparable behaviours may also be adopted by high status group members. It is predicted that under conditions where the group boundaries are considered permeable individuals are more likely to engage in individual mobility strategies. That is, individuals “disassociate from the group and pursue individual goals designed to improve their personal lot rather than that of their ingroup”.

Where group boundaries are considered impermeable, and where status relations are considered reasonably stable, individuals are predicted to engage in social creativity behaviours. Here, low-status ingroup members are still able to increase their positive distinctiveness without necessarily changing the objective resources of the ingroup or the outgroup. This may be achieved by comparing the ingroup to the outgroup on some new dimension, changing the values assigned to the attributes of the group, and choosing an alternative outgroup by which to compare the ingroup.

Here an ingroup seeks positive distinctiveness and requires positive differentiation via direct competition with the outgroup in the form of ingroup favoritism. It is considered competitive in that in this case favoritism for the ingroup occurs on a value dimension that is shared by all relevant social groups (in contrast to social creativity scenarios). Social competition is predicted to occur when group boundaries are considered impermeable, and when status relations are considered to be reasonably unstable.

Although not privileged in the theory, it is this positive distinctiveness strategy that has received the greatest amount of attention. In political science, social identity theory has been incorporated as the subconsitituency politics theory of representation. This theory holds that political elites are individually rational, and they use identity instrumentally to cultivate minimum winning constituencies (e.g., via the “microtargeting” of ads). 

‘My wife not my first relationship,’ Oyedepo’s son speaks on peer pressure The Punch 15:45 

In the last hour

From GPT-4o To Gemini The AI Assistants are Getting Better Fast

David Pierce / The Verge

Hi, friends! Welcome to Installer No. 38, your guide to the best and Verge-iest stuff in the world. (If you’re new here, welcome, so psyched you found us, and you can also read all the old editions at the Installer homepage.) This week, I’ve been writing about iPads and the future of Google, watching American Fiction and Bodkin, rewatching Her because of reasons, endlessly replaying the songs of Windows95man, learning how to make better sandwiches, testing Claude for AI stuff, and listening to the new-old Childish Gambino album…..Story continues…

By: David Pierce

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Critics:

Originally, multiple versions of GPT-4o were secretly launched under different names on Large Model Systems Organization’s (LMSYS) Chatbot Arena as three different models. These three models were called gpt2-chatbot, im-a-good-gpt2-chatbot, and im-also-a-good-gpt2-chatbot. On 7 May 2024, Sam Altman tweeted “im-a-good-gpt2-chatbot”, which was commonly interpreted as a confirmation that these were new OpenAI models being A/B tested.

GPT-4o achieved state-of-the-art results in voice, multilingual, and vision benchmarks, setting new records in audio speech recognition and translation. GPT-4o scored 88.7 on the Massive Multitask Language Understanding (MMLU) benchmark compared to 86.5 by GPT-4. Unlike GPT-3.5 and GPT-4, which rely on other models to process sound, GPT-4o natively supports voice-to-voice. Sam Altman noted on 15 May 2024 that GPT-4o’s voice-to-voice capabilities were not yet integrated into ChatGPT, and that the old version was still being used.

GPT-4o has knowledge up to October 2023, but can access the Internet if up-to-date information is needed. It has a context length of 128k tokens with output token limit capped to 4,096, and after a later update (gpt-4o-2024-08-06) to 16,384. As of May 2024, it is the leading model in the LMSYS Elo Arena Benchmarks by the University of California, Berkeley.

In August 2024, OpenAI introduced a new feature allowing corporate customers to customize GPT-4o, their most advanced AI model, using proprietary company data. This customization, known as fine-tuning, enables businesses to adapt GPT-4o to specific tasks or industries, enhancing its utility in areas like customer service and specialized knowledge domains. Previously, fine-tuning was available only on the less powerful model GPT-4o mini.

The fine-tuning process requires customers to upload their data to OpenAI’s servers, with the training typically taking one to two hours. Initially, the customization will be limited to text-based data. OpenAI’s focus with this rollout is to reduce the complexity and effort required for businesses to tailor AI solutions to their needs, potentially increasing the adoption and effectiveness of AI in corporate environments.

On July 18, 2024, OpenAI released a smaller and cheaper version, GPT-4o mini. According to OpenAI, its low cost is expected to be particularly useful for companies, startups and developers that seek to integrate it into their services, which often make a high amount of API calls. Its API costs $0.15 per million input tokens and $0.6 per million output tokens, compared to $5 and $15 respectively for GPT-4o.

It is also significantly more capable and 60% cheaper than GPT-3.5 Turbo, which it replaced on the ChatGPT interface. The price after fine-tuning doubles: $0.3 per million input tokens and $1.2 per million output tokens. GPT-4o mini is the default model for users not logged in and use ChatGPT as guests and for those who have hit the limit for GPT-4o. GPT-4o mini will become available in fall 2024 on Apple’s mobile devices and Mac desktops, through the Apple Intelligence feature.

On May 20, 2024, OpenAI disabled the Sky voice, issuing a statement saying “We’ve heard questions about how we chose the voices in ChatGPT, espe cially Sky. We are working to pause the use of Sky while we address them.”Scarlett Johansson starred in the sci-fi movie Her in 2013, playing the role of Samantha, an artificially intelligent virtual assistant personified through a female voice. As part of the promotion leading up to the release of GPT-4o, Sam Altman on May 13 tweeted a single word: “her”.

OpenAI claimed that each voice was based on the voice work of a hired actor. Specifically, OpenAI claimed “Sky’s voice is not an imitation of Scarlett Johansson but belongs to a different professional actress using her own natural speaking voice.” Already in September 2023, OpenAI had claimed their upcoming new talking version of its ChatGPT assistant that sounded like Scarlett Johansson “wasn’t meant to resemble” the actress.

In the statement, Johansson also used the incident to draw attention to the lack of legal safeguards around the use of creative work to power leading AI tools, as her legal counsel demanded OpenAI detail the specifics of how the Sky voice was created. Observers noted similarities to how Johansson had previously sued and settled with The Walt Disney Company for breach of contract over the direct-to-streaming rollout of her Marvel film Black Widow, a settlement widely speculated to have netted her around $40M.

Also on May 21, Shira Ovide at The Washington Post shared her list of “most bone-headed self-owns” by technology companies, with the decision to go ahead with a Johansson sound-alike voice despite her opposition and then denying the similarities ranking 6th. On May 24, Derek Robertson at Politico wrote about the “massive backlash”, concluding that “appropriating the voice of one of the world’s most famous movie stars — in reference […] to a film that serves as a cautionary tale about over-reliance on AI — is unlikely to help shift the public back into [Sam Altman’s] corner anytime soon.

Will new AI tools create a better Siri or voice assistant? ComputerWorld (Video) 18:37 Thu, 16 May

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ProfitMaps AI Shows Any Local Business Where Google Maps Can’t Find Them

ProfitMaps AI is an AI-powered Google Maps rank tracking and local client prospecting platform designed to show where local companies appear...